全部的题目

eval_framework/config/config.yaml

@@ -2,22 +2,25 @@
 api:
   key: "sk-oYh3Xrhg8oDY2gW02c966f31C84449Ad86F9Cd9dF6E64a8d"
   base_url: "https://vip.apiyi.com/v1"
-  temperature: 0
+  temperature: 0 # 默认使用模型的温度设置
   max_retries: 10
   # 支持多个模型
   models:
     - "qwen-max-2025-01-25"
     - "gpt-4o"
+    - "deepseek-chat"
+    - "claude-sonnet-4-20250514"
   # 或者使用单个模型（向后兼容）
   # model: "qwen-max-2025-01-25"
 
-# 系统提示词
-system_prompt: "You are an expert in the field of materials science, adept at answering questions related to fundamental aspects of materials science, including material structure, properties, processing, and applications."
+system_prompt: None
 
 # 评估配置
 evaluation:
-  max_workers: 8
-  input_file: "/home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json"
+  max_workers: 20
+  # input_file: "/home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json"
+  # input_file: "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepz_final_choice_questions.json"
+  input_file: "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepz_final_choice_questions_filtered.json"
   # 输出配置
   output:
     base_dir: "results"

eval_framework/main.py

@@ -144,7 +144,7 @@ def main():
             logger.info(f"Evaluating model {i}/{len(models)}: {model_name}")
             
             try:
-                model_result = evaluate_single_model(model_name, data[:10], config, output_dir)
+                model_result = evaluate_single_model(model_name, data, config, output_dir)
                 all_results[model_name] = model_result
                 
                 # 打印当前模型的结果

eval_framework/src/evaluator.py

@@ -51,7 +51,7 @@ class Evaluator:
 
         # 格式化选择项
         formatted_choices = " ".join([f"({lbl}) {txt}" for lbl, txt in zip(label, text)])
-        user_input = f"{question} {formatted_choices}. {prompt}"
+        user_input = f"{prompt} \n {question} {formatted_choices}"
         
         # 获取LLM响应
         llm_answer = self.llm_client.get_response(user_input, self.system_prompt)

eval_framework/src/llm_client.py

@@ -48,14 +48,27 @@ class LLMClient:
         retries = 0
         while retries < self.max_retries:
             try:
-                response = self.client.chat.completions.create(
-                    model=self.model,
-                    messages=[
+                if system_prompt == 'None':
+                    messages = [
+                        {"role": "user", "content": user_input}
+                    ]
+                else:
+                    messages = [
                         {"role": "system", "content": system_prompt},
                         {"role": "user", "content": user_input}
-                    ],
-                    temperature=self.temperature
-                )
+                    ]
+
+                if self.temperature == -1:
+                    response = self.client.chat.completions.create(
+                        model=self.model,
+                        messages=messages,
+                    )
+                else:
+                    response = self.client.chat.completions.create(
+                        model=self.model,
+                        messages=messages,
+                        temperature=self.temperature
+                    )
                 answer = response.choices[0].message.content
                 return answer
                 

layer2/PGEE/code/step4_filter.py

@@ -788,26 +788,23 @@ class EnhancedQuestionClassifier:
             f"等级{level}: {desc}" for level, desc in criteria.items()
         ])
         
-        prompt = f"""请为以下题目在同题型内评估难度等级。
+        prompt = f"""请为以下题目在选择题型内评估难度等级。
 
 题目：{question}
-答案：{answer}
-题型：{type_info['name']} - {type_info['description']}
+正确选项：{answer}
 知识层次：{level_info['name']} - {level_info['description']}
 
-在该题型和知识层次下的难度等级标准：
+在选择题型和不同知识层次下的难度等级标准：
 {criteria_desc}
 
 重要说明：
-- 难度评估必须在相同题型内进行比较
-- 不同题型有不同的固有难度，需要排除题型本身的影响
-- 重点关注在该题型框架内的相对难度
+- 难度评估必须在选择题型内进行比较（仅给定正确选项）
 
 评估考虑因素：
-- 同类题型中的知识点掌握深度要求
-- 同类题型中的解题步骤复杂程度
-- 在该题型内的相对难度水平
-- 对该题型能力的具体要求
+- 选择题型中的知识点掌握深度要求
+- 选择题型中的解题步骤复杂程度
+- 选择题型内的相对难度水平
+- 选择题型能力的具体要求
 
 请严格按照以下格式返回：
 难度：[等级数字]
@@ -1506,12 +1503,12 @@ def advanced_main():
         questions = classifier.load_questions_from_json(INPUT_FILE)
         import random
         random.shuffle(questions)  # 打乱题目顺序
-        questions = questions[:100]  # 测试时可以先处理一小部分
+        # questions = questions[:100]  # 测试时可以先处理一小部分
 
         print("开始三阶段分类处理...")
         classified_questions = classifier.classify_questions_batch(
             questions=questions,
-            max_workers=10,
+            max_workers=20,
             save_interval=10,
             output_file=OUTPUT_FILE
         )

layer2/PGEE/code/step4_filtered_high_quality_questions.json

@@ -1,722 +0,0 @@
-[
-  {
-    "idx": 888,
-    "question": "Given that the nearest neighbor atomic spacing in a diamond unit cell is 0.1544nm, calculate the packing density ξ of diamond.",
-    "answer": "The diamond unit cell contains 8 atoms (each of the 8 corner atoms contributes 1/8, each of the 6 face-centered atoms contributes 1/2, and each of the 4 internal atoms contributes 1). The atomic radius r = d/2 = 0.0772nm. The packing density ξ = (total volume of atoms)/(volume of unit cell) = [(8 × (4/3)πr³)]/a³ = [8 × (4/3) × 3.1416 × (0.0772nm)³]/(0.3566nm)³ ≈ 0.34.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求通过数值计算和公式应用来求解金刚石的堆积密度，解答过程中涉及原子间距、原子半径、单位晶胞体积等具体计算步骤，最终得出一个数值结果。 | 知识层次: 题目需要进行多步计算（包括原子半径计算、单位晶胞体积计算、原子总体积计算等），并需要理解金刚石晶胞的结构特点（原子位置和贡献比例），涉及概念关联和综合分析。虽然计算过程较为直接，但需要结合晶体结构知识和数学计算，属于中等应用层次。 | 难度: 在计算题中属于综合性计算问题，需要理解钻石晶胞的结构（包括原子位置和贡献比例），正确计算原子半径，应用球体体积公式，并最终计算堆积密度。虽然步骤较多，但每个步骤都是材料科学中的基础计算，没有涉及复杂变量或高级数学技巧。"
-  },
-  {
-    "idx": 1786,
-    "question": "The chemical composition of a glass is: 24mol% Na2O, 12mol% Al2O3, 64mol% SiO2. Calculate the four structural parameters Z, R, X, and Y of this glass.",
-    "answer": "Converted to 6Na2O·3Al2O3·16SiO2; Z=4; R=2.17; Y=3.66; X=0.34.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求进行数值计算（计算四个结构参数Z、R、X、Y），需要应用特定公式和计算方法，且答案以数值形式呈现。 | 知识层次: 题目需要进行多步计算和概念关联，包括化学组成的转换、结构参数的计算（Z, R, X, Y），涉及多个公式的综合应用，需要一定的分析和理解能力。 | 难度: 在计算题中属于综合性计算问题，需要理解玻璃结构参数的概念，进行多步计算和公式应用，涉及摩尔百分比的转换和多个参数的求解，但步骤相对明确，没有过于复杂的变量处理。"
-  },
-  {
-    "idx": 2090,
-    "question": "At 800°C, what are the compositions of the α phase and γ phase in Fe-0.002C steel?",
-    "answer": "α: wC=0.0001, wFe=0.9999; γ: wC=0.0046, wFe=0.9954.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "simple_application",
-    "knowledge_level_name": "简单应用",
-    "difficulty": 2,
-    "final_level": "Level_2",
-    "reasoning": "题型: 题目要求计算在特定温度下α相和γ相的成分，需要参考相图或相关公式进行数值计算，答案给出了具体的数值结果，符合计算题的特征。 | 知识层次: 题目需要应用铁碳相图的基本知识，通过查图和简单计算确定两相的成分，属于基本公式应用和直接套用范畴，不需要多步计算或综合分析。 | 难度: 在计算题中属于简单公式应用计算难度。题目要求根据给定的温度（800°C）和钢的成分（Fe-0.002C），直接应用铁碳相图或相关公式来确定α相和γ相的成分。虽然需要理解相图的基本概念和组成关系，但计算过程相对直接，仅涉及简单的数值查找和基本公式应用，不需要复杂的推导或多步骤计算。因此，在计算题题型内属于等级2难度。"
-  },
-  {
-    "idx": 2209,
-    "question": "Given that brass containing ${w_{\\\\mathrm{Zn}}}=0.30$ requires $^{1\\\\textrm{h}}$ to complete recrystallization at a constant temperature of $400^{\\\\circ}\\\\mathrm{C}$, and $2\\\\textrm{h}$ at $390^{\\\\circ}\\\\mathrm{C}$, calculate the time required to complete recrystallization at a constant temperature of $420^{\\\\circ}\\\\mathrm{C}$.",
-    "answer": "The rate of recrystallization is given by  $Q$ is the activation energy for recrystallization)  Let $t$ be the time required to complete recrystallization, then$$  $$ \\\\begin{array}{r}{\\\\frac{1}{T_{1}}-\\\\frac{1}{T_{2}}=\\\\ln\\\\frac{t_{2}}{t_{1}}}\\\\\\\\ {\\\\frac{1}{T_{1}}-\\\\frac{1}{T_{3}}=\\\\ln\\\\frac{t_{3}}{t_{1}}}\\\\end{array}$$ Substituting $T_{1}=673~\\\\mathrm{K},t_{1}=1~\\\\mathrm{h};T_{2}=663~\\\\mathrm{K},t_{2}=2~\\\\mathrm{h};T_{3}=693~\\\\mathrm{K}$ into the above equations, we obtain$$ t_{3}\\\\approx0.26~\\\\mathrm{h}$$ That is, completing recrystallization at a constant temperature of $420^{\\\\circ}\\\\mathrm{C}$ requires approximately $0,26\\\\mathrm{~h~}$ \\\\begin{array}{c}{{V_{\\\\parallel\\\\parallel}t=1}}\\\\\\\\ {{A\\\\mathrm{e}^{\\\\frac{-Q}{R T_{1}}}t_{1}=A\\\\mathrm{e}^{\\\\frac{-Q}{R T_{2}}}t_{2}=A\\\\mathrm{e}^{\\\\frac{-Q}{R T_{3}}}t_{3}}}\\\\\\\\ {{-\\\\frac{Q}{R}\\\\Big(\\\\frac{1}{T_{1}}-\\\\frac{1}{T_{2}}\\\\Big)=\\\\ln\\\\frac{t_{2}}{t_{1}}}}\\\\\\\\ {{-\\\\frac{Q}{R}\\\\Big(\\\\frac{1}{T_{1}}-\\\\frac{1}{T_{3}}\\\\Big)=\\\\ln\\\\frac{t_{3}}{t_{1}}}}\\\\end{array}",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求通过数值计算和公式应用来求解在特定温度下完成再结晶所需的时间。答案中包含了具体的计算步骤和公式应用，符合计算题的特征。 | 知识层次: 题目涉及多步计算和公式应用，需要理解再结晶速率与温度的关系，并通过给定的数据点求解未知条件下的时间。虽然不涉及复杂的机理分析或创新设计，但需要一定的综合分析能力和概念关联。 | 难度: 在计算题中属于综合性计算问题，需要应用阿伦尼乌斯公式进行多步计算，涉及温度转换、对数运算和方程求解。虽然计算步骤较多，但变量关系明确，属于该题型内的中等偏上难度。"
-  },
-  {
-    "idx": 2239,
-    "question": "In Fe-Si steel (with $\\\\mathrm{{\\\\tau}}\\\\mathrm{{{w}}}_{\\\\mathrm{{Si}}}$ being 0.03), the measured diameter of $\\\\mathrm{MnS}$ particles is $0.4\\\\mu\\\\mathrm{m}$, and the number of particles per $1~\\\\mathrm{m}\\\\mathrm{m}^{2}$ is $2\\\\times10^{5}$. Calculate the effect of $\\\\mathrm{MnS}$ on the austenite grain growth during normal heat treatment of this steel (i.e., calculate the austenite grain size).",
-    "answer": "Let the number of $\\\\mathrm{MnS}$ particles per unit volume be $N_{\\\\mathrm{V}}(1/\\\\mathrm{m}\\\\mathrm{m}^{3})$. Given the number of MnS particles per unit area $N_{\\\\mathrm{A}}=$ $2\\\\times10^{5}~1/\\\\mathrm{m}\\\\mathrm{m}^{2}$ and the particle diameter $d=0.4~\\\\mu\\\\mathrm{m}$. According to the principles of quantitative metallography, $$ N_{\\\\mathrm{A}}=d N_{\\\\mathrm{v}} $$ The volume fraction of MnS is $$ \\\\varphi={\\\\frac{1}{6}}\\\\pi d^{3}N_{\\\\mathrm{v}}={\\\\frac{1}{6}}\\\\pi d^{2}N_{\\\\mathrm{A}}= $$ $$ \\\\frac{1}{6}\\\\pi\\\\times(0.4\\\\times10^{-3})^{2}\\\\times2\\\\times10^{5}=0.0167 $$ Therefore, during the heating of this steel, due to the effect of $\\\\mathrm{MnS}$ particles, the limiting size for austenite grain growth is $$ \\\\overline{{\\\\cal D}}_{\\\\mathrm{lim}}=\\\\frac{4r}{3\\\\varphi}=\\\\frac{4\\\\times0.2}{3\\\\times0.016~7}=16~\\\\mu\\\\mathrm{m} $$",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求通过数值计算和公式应用来求解奥氏体晶粒尺寸，答案中包含了具体的计算步骤和公式应用，符合计算题的特征。 | 知识层次: 题目需要进行多步计算，包括体积分数的计算和晶粒生长极限尺寸的计算，同时需要理解MnS颗粒对奥氏体晶粒生长的抑制作用。虽然涉及公式应用和数值计算，但不需要复杂的推理分析或机理解释。 | 难度: 在计算题中属于综合性计算问题，需要多步计算和概念关联。题目要求计算MnS对奥氏体晶粒长大的影响，涉及定量金相学原理、体积分数计算以及晶粒尺寸限制公式的应用。虽然计算步骤较多，但每个步骤相对明确，属于中等应用层次的计算题。"
-  },
-  {
-    "idx": 2794,
-    "question": "There are two diffusion reactions with activation energies of Q_1=83.7 kJ/mol and Q_2=251 kJ/mol, respectively. Observe the effect of increasing the temperature from 25°C to 600°C on the diffusion with an activation energy of Q_2=251 kJ/mol, and comment on the results.",
-    "answer": "From D=D_0 exp(-Q/RT), we get D_873/D_298=exp[-251000/(8.314)×(298-873)/(873×298)]=9.5×10^28. For the temperature increase from 298K to 873K, the diffusion rate D increases by 9.5×10^28 times, showing that the higher the activation energy, the more sensitive the diffusion rate is to temperature.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求通过公式计算扩散速率的变化，并给出具体的数值结果。解答过程中需要应用扩散公式进行数值计算，最终得出扩散速率增加的倍数。 | 知识层次: 题目需要应用扩散公式进行多步计算，并分析温度变化对扩散速率的影响，涉及概念关联和综合分析。虽然计算过程较为直接，但需要理解公式中各参数的含义及其相互关系，以及对结果的解释，属于中等应用层次。 | 难度: 在计算题中属于综合性计算问题，需要应用阿伦尼乌斯公式进行多步计算，并理解温度变化对扩散速率的影响机制。题目涉及较高阶的数学运算（指数计算）和物理概念的关联分析，但尚未达到复杂多变量计算的程度。"
-  },
-  {
-    "idx": 2818,
-    "question": "There is an aluminum wire with a length of 5 m and a diameter of 3 mm. Given that the elastic modulus of aluminum is 70 GPa, find the total length of the wire under a tensile force of 200 N.",
-    "answer": "Within the elastic range, stress and strain obey Hooke's law ${\\pmb\\sigma}{=}{\\pmb E}{\\pmb\\varepsilon}$, and $\\mathsf{e}=\\frac{\\boldsymbol{\\ell}-\\boldsymbol{l}_{0}}{\\boldsymbol{l}_{0}}{=}\\frac{\\frac{\\boldsymbol{F}}{A}}{E}$. Therefore,  $$l=l_{0}+\\frac{F}{E A}l_{\\circ}=l_{0}\\left(1+\\frac{F}{E A}\\right)=5\\left[1+\\frac{200}{70\\times10^{3}\\times\\frac{\\pi}{4}(3\\times10^{-3})^{2}}\\right]$$$$=5.00202(\\mathrm{m})=5002.02(\\mathrm{mm})$$",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "simple_application",
-    "knowledge_level_name": "简单应用",
-    "difficulty": 2,
-    "final_level": "Level_2",
-    "reasoning": "题型: 题目要求通过数值计算和公式应用来求解铝线在拉力作用下的总长度，答案展示了具体的计算过程和结果，符合计算题的特征。 | 知识层次: 题目主要涉及基本公式（胡克定律）的直接应用和简单计算，不需要多步推理或综合分析，属于基础知识的直接运用。 | 难度: 在计算题中属于简单公式应用计算，仅需直接套用Hooke's law公式进行一步变形和数值代入。虽然涉及单位换算（GPa到Pa，mm到m），但计算过程明确且无复杂推导步骤，属于该题型内中等偏下难度。"
-  },
-  {
-    "idx": 2846,
-    "question": "Indicate the easy slip plane and easy slip direction of Cu crystal, and calculate the slip plane spacing, atomic spacing in the slip direction, and lattice resistance. (Given G_Cu=48.3GPa, ν=0.3)",
-    "answer": "Cu has an fcc structure, with the easy slip plane being {111} and the easy slip direction being <110>. The slip plane spacing d_(111)=a/√3, and the atomic spacing in the slip direction b=√2/2a. The lattice resistance τ_PN=(2×48.3×10^9)/(1-0.3)×exp[-2π(a/√3)/((1-0.3)(√2/2)a)]=90.45MPa.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求进行数值计算和公式应用，包括计算滑移面间距、滑移方向原子间距和晶格阻力，答案中给出了具体的计算过程和结果。 | 知识层次: 题目需要理解Cu晶体的fcc结构，识别易滑移面和方向，并应用公式计算滑移面间距、原子间距和晶格阻力。涉及多步计算和概念关联，但不需要复杂的综合分析或创新应用。 | 难度: 在计算题中属于综合性计算问题，需要理解晶体结构的基本概念（如fcc结构、滑移面和滑移方向），掌握相关公式（如滑移面间距、原子间距的计算），并进行多步骤的数值计算（包括指数函数的应用）。虽然涉及多个计算步骤，但整体思路清晰，属于中等应用层次的计算题。"
-  },
-  {
-    "idx": 3153,
-    "question": "In stable ZrO2 material, cations form an fcc structure, and anions occupy tetrahedral interstitial sites. If 20 mol% CaO is added, calculate how many anions are needed for 100 cations?",
-    "answer": "Since the amount of CaO added to ZrO2 is 20 mol%, the total charge number for 100 cations is 20×2 + 80×4 = 360. To maintain electrical neutrality, the required number of O2− anions is 360 ÷ 2 = 180.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求进行数值计算（计算需要的阴离子数量），并应用了电荷平衡的公式来解决问题。答案给出了具体的计算过程和结果，符合计算题的特征。 | 知识层次: 题目需要进行多步计算（计算总电荷数、维持电中性所需阴离子数），并需要理解掺杂对电荷平衡的影响，涉及概念关联和综合分析。 | 难度: 在计算题中属于综合性计算问题，需要理解电荷平衡的概念，进行多步计算（包括摩尔百分比转换、电荷总和计算、电中性平衡计算），并正确应用化学计量关系。虽然不涉及复杂多变量，但解题步骤和概念关联要求较高，属于该题型内的中等偏上难度。"
-  },
-  {
-    "idx": 3173,
-    "question": "The density of $\\\\mathrm{CaF}_{2}$ is $\\\\rho=3.18~\\\\mathrm{g/cm}^{3}$, the lattice constant is $a=0.5463\\\\mathrm{nm}$, and the relative atomic masses of Ca and F are 40.08 and 19.00, respectively. Calculate the number of Schottky vacancies in the unit cell of CaF2.",
-    "answer": "To maintain electrical neutrality, in the $\\\\mathrm{CaF}_{2}$ ionic crystal, for every Schottky defect formed, one $\\\\mathrm{Ca}^{2+}$ and two $\\\\mathbf{F}^{-}$ must be lost simultaneously. Let the number of Schottky defects in the unit cell be $x$, then $$ x\\\\rho=\\\\frac{\\\\left(4-x\\\\right)\\\\left(40.08+19\\\\times2\\\\right)/6.023\\\\times10^{23}}{5.463^{3}\\\\times10^{-24}}\\\\approx3.18\\\\left({\\\\mathrm{g}}/{\\\\mathrm{cm}^{3}}\\\\right) $$ Therefore, $$ x=4-\\\\frac{6.023\\\\times10^{23}\\\\times3.18\\\\times5.463^{3}\\\\times10^{-24}}{40.08+19.00\\\\times2}\\\\approx6.10\\\\times10^{-4}\\\\uparrow $$",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求进行数值计算和公式应用，解答过程中涉及到了密度、晶格常数、相对原子质量等数据的计算，最终得出肖特基空位的数量。答案展示了具体的计算步骤和结果，符合计算题的特征。 | 知识层次: 题目需要进行多步计算，包括密度公式的应用、单位换算、以及缺陷化学中的电荷平衡考虑。虽然不涉及复杂的机理分析或创新设计，但需要综合运用多个概念和公式进行数值计算，属于中等应用层次。 | 难度: 在计算题中属于综合性计算问题，需要理解Schottky缺陷的概念，进行多步计算，包括密度公式的应用、单位转换和数值计算。虽然涉及多个步骤和概念关联，但整体计算过程相对直接，没有过于复杂的变量或推导过程。"
-  },
-  {
-    "idx": 3824,
-    "question": "Consider an Al-4% Si alloy. Determine the amounts and compositions of each phase at 576 degrees C.",
-    "answer": "alpha: 1.65% si, beta: 99.83% si, % alpha=97.6%, % beta=2.4%",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求通过计算确定各相的含量和组成，答案给出了具体的数值结果，涉及相图分析和成分计算，属于典型的计算题类型。 | 知识层次: 题目需要应用相图知识进行多步计算，包括确定各相的成分和相对量，涉及概念关联和综合分析，但不需要复杂的推理或创新应用。 | 难度: 在计算题中属于综合性计算问题，需要理解相图概念并进行多步计算。题目要求确定特定温度下合金的各相组成和比例，涉及读取相图数据、应用杠杆法则计算相比例，以及综合分析相组成。虽然步骤明确，但需要准确关联多个概念和进行精确计算，因此在同类计算题中属于中等偏上难度。"
-  },
-  {
-    "idx": 3911,
-    "question": "Niobium (Nb) has a BCC crystal structure, an atomic radius of 0.143nm and an atomic weight of 92.91g / mol. Calculate the theoretical density for nb.",
-    "answer": "the theoretical density for nb is 8.48g / {cm}^{3}. the experimental density for nb is 8.57g / {cm}^{3}.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "simple_application",
-    "knowledge_level_name": "简单应用",
-    "difficulty": 2,
-    "final_level": "Level_2",
-    "reasoning": "题型: 题目要求通过数值计算和公式应用来求解铌的理论密度，答案给出了具体的计算结果，符合计算题的特征。 | 知识层次: 题目涉及基本的晶体结构参数（BCC）和原子半径，需要应用密度计算公式进行简单数值计算，属于直接套用基本公式的范畴。虽然需要理解BCC结构的晶格常数与原子半径的关系，但整体思维过程较为直接，不涉及多步计算或综合分析。 | 难度: 在计算题中属于简单公式应用计算难度。题目要求计算理论密度，需要应用BCC晶体结构的边长与原子半径关系公式（a = 4r/√3）以及密度计算公式（ρ = nA/VcNA），但这两个公式都是材料科学基础课程中的标准公式，且计算过程直接套用即可完成，无需复杂推导或组合多个公式。虽然涉及单位换算（nm到cm），但这是常规操作，不增加额外难度。"
-  },
-  {
-    "idx": 4443,
-    "question": "The fracture strength of glass may be increased by etching away a thin surface layer. It is believed that the etching may alter surface crack geometry (i.e., reduce crack length and increase the tip radius). Compute the ratio of the original and etched crack tip radii for an eightfold increase in fracture strength if two-thirds of the crack length is removed.\n\\[\n\\text {",
-    "answer": "the ratio of the original and etched crack tip radii is 21.3.",
-    "question_type": "calculation",
-    "question_type_name": "计算题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求进行数值计算和公式应用，以确定原始和蚀刻裂纹尖端半径的比率。解答过程涉及材料科学中的断裂强度公式和几何变化计算，最终答案是一个具体的数值（21.3），这符合计算题的特征。 | 知识层次: 题目需要进行多步计算，涉及断裂强度的概念和裂纹几何变化的综合分析。虽然公式应用是基础，但需要理解裂纹长度和尖端半径对断裂强度的影响，并进行相应的数值计算，属于中等应用层次。 | 难度: 在计算题中属于综合性计算问题，需要应用断裂力学公式，进行多步计算和概念关联。题目涉及裂纹几何变化对断裂强度的影响，要求理解表面裂纹长度和尖端半径的关系，并通过给定的强度变化比例反推原始和蚀刻后的尖端半径比值。虽然计算步骤明确，但需要综合分析多个变量和概念，属于中等偏上的难度。"
-  },
-  {
-    "idx": 38,
-    "question": "MgO and CaO both belong to the NaCl-type structure, but when they react with water, CaO is more reactive than MgO. Please explain.",
-    "answer": "Because ${r_{i\\\\parallel_{g}}}^{2+}$ and ${r_{C a}}^{21}$ are different, $r_{\\\\tt C a2+}>r_{\\\\tt B_{\\\\tt B}2+}$, making the structure of CaO looser than that of $\\\\mathrm{Mg0}$, allowing $\\\\mathrm{H}_{2}\\\\mathrm{0}$ to enter more easily, hence more reactive.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释MgO和CaO反应活性的差异，答案通过文字解释和论述给出了原因，涉及离子半径和结构松紧度的比较，属于需要文字解释和论述的简答题类型。 | 知识层次: 题目要求解释MgO和CaO在相同晶体结构下与水反应活性的差异，需要分析离子半径对晶体结构的影响以及水分子进入晶格的难易程度，涉及离子半径、晶体结构、反应活性等多个概念的关联和综合分析，属于复杂分析层次。 | 难度: 在简答题题型中，该题目属于机理深度解释难度。题目要求解释MgO和CaO在反应活性上的差异，需要考生理解离子半径对晶体结构的影响，并进一步分析这种结构差异如何导致反应活性的不同。虽然题目涉及的知识点较为基础（离子半径、晶体结构），但需要将这些知识点综合运用并进行逻辑推理，才能完整解释现象。相比只需简单记忆或直接应用的题目（等级1-3），该题目对知识点的掌握深度和逻辑推理能力有更高要求，但尚未达到需要分析多因素交互作用的复杂现象全面分析（等级5）程度。"
-  },
-  {
-    "idx": 99,
-    "question": "When two edge dislocations with the same sign meet on the same slip plane, will they repel or attract each other?",
-    "answer": "Repel, tensile stress overlaps, compressive stress overlaps.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释两个同号刃位错在同一滑移面上相遇时的相互作用（排斥或吸引），并需要文字解释其背后的原因（拉伸应力重叠、压缩应力重叠）。答案提供了简短的文字解释，而非选择或判断形式。 | 知识层次: 题目需要理解位错的基本概念（基础记忆），并进一步分析相同符号位错相遇时的应力场相互作用（概念关联和综合分析）。虽然不涉及复杂计算，但需要将位错应力场的知识应用到具体情境中，属于中等应用层次。 | 难度: 在简答题中，该题目属于较高难度。首先，题目要求理解位错的基本概念和相互作用机制；其次，需要分析相同符号位错相遇时的应力场叠加效应；最后，还需结合拉伸和压缩应力场的具体分布进行综合论述。这些步骤涉及多角度分析和概念关联，超出了简单的概念复述或单一知识点应用，符合等级4的多角度分析论述要求。"
-  },
-  {
-    "idx": 280,
-    "question": "Analyze the influence of particle size and distribution on solid-phase reactions",
-    "answer": "The smaller the particle size, the faster the reaction rate; in the same reaction system, due to differences in material size, the reaction rate will be governed by different kinetic regimes; the presence of a small amount of larger-sized particles can significantly delay the completion of the reaction process.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求分析颗粒尺寸和分布对固相反应的影响，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目要求分析颗粒尺寸和分布对固相反应的影响，涉及反应速率和动力学机制的解释，需要综合运用材料科学和化学反应动力学的知识，进行推理分析和机理解释。 | 难度: 在简答题题型中，该题目属于复杂现象全面分析的难度等级。题目要求分析颗粒尺寸和分布对固相反应的影响，涉及多个知识点和复杂的推理过程。需要综合运用材料科学、反应动力学等知识，解释不同颗粒尺寸对反应速率的影响，以及不同动力学机制的作用。此外，还需要分析少量大颗粒对反应进程的延迟效应，这要求考生具备较高的综合分析和推理能力。因此，该题目在简答题题型内属于最高难度等级。"
-  },
-  {
-    "idx": 295,
-    "question": "Please analyze the influence of temperature on the thermodynamics and kinetics of phase transitions.",
-    "answer": "When the temperature decreases, the degree of undercooling increases, the nucleation barrier decreases, and the nucleation rate increases until reaching the maximum value; when the temperature continues to decrease, the liquid phase viscosity increases, and the diffusion rate of atoms or molecules decreases. Both excessively high and low temperatures are unfavorable for nucleation and growth rates, and only at a certain temperature can the maximum nucleation and growth rates be achieved.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求分析温度对相变热力学和动力学的影响，需要详细的文字解释和论述，而不是选择、判断或计算。答案也提供了详细的解释，符合简答题的特点。 | 知识层次: 题目要求分析温度对相变热力学和动力学的影响，涉及多个概念（如过冷度、形核势垒、形核率、液相粘度、扩散速率等）的综合运用和关联分析。需要深入理解温度变化如何影响这些参数，并解释其背后的机理。思维过程需要推理和综合分析，而不仅仅是记忆或简单应用。 | 难度: 在简答题的复杂分析层次中，该题目要求全面分析温度对相变热力学和动力学的综合影响，涉及多个相互关联的机理（如过冷度、形核势垒、粘度变化等），需要考生整合不同知识模块并进行系统性推理。这种需要同时解释热力学驱动力和动力学限制因素，并阐明其非线性关系的题目，在简答题题型内属于最高难度等级。"
-  },
-  {
-    "idx": 330,
-    "question": "Why is the liquid/solid interface front of an alloy more prone to undercooling during solidification compared to that of a pure metal?",
-    "answer": "The interface front of an alloy exhibits constitutional undercooling, where solute enrichment at the front raises the local melting point, making undercooling more likely to occur.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释合金在凝固过程中比纯金属更容易发生过冷的原因，答案需要文字解释和论述，没有提供选项或要求计算。 | 知识层次: 题目需要解释合金凝固过程中液/固界面前沿更容易发生过冷的原因，涉及溶质富集和局部熔点升高的机理分析，需要综合运用材料科学中的凝固理论和热力学知识，进行推理和解释。 | 难度: 在简答题题型中，该题目属于机理深度解释难度。需要考生理解合金凝固过程中的溶质再分配现象，并能准确解释成分过冷的形成机制及其对界面稳定性的影响。虽然不涉及多因素交叉分析，但需要对凝固前沿的热力学和动力学条件有较深入的理解，属于需要综合运用专业知识的解释性题目。"
-  },
-  {
-    "idx": 586,
-    "question": "Explain the term: divorced eutectic",
-    "answer": "Divorced eutectic: In alloys with a eutectic reaction, if the composition is far from the eutectic point, the primary crystals are abundant while the eutectic is scarce. The phase in the eutectic that is the same as the primary crystals grows attached to the primary crystals, and the other phase in the eutectic appears separately distributed, causing the eutectic structure to lose its characteristic features.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求解释术语\"divorced eutectic\"，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目考查对\"divorced eutectic\"这一术语的定义和基本特征的理解，属于基础概念的记忆和解释。 | 难度: 在简答题中，该题目属于概念解释和描述的难度等级。题目要求解释\"divorced eutectic\"这一术语，需要考生理解并描述合金中偏共晶反应的具体现象及其结构特征。虽然涉及一定的专业术语和概念，但不需要复杂的体系阐述或多步骤推理，属于基础概念记忆和解释的范畴。"
-  },
-  {
-    "idx": 664,
-    "question": "Explain the industrial applications of work hardening",
-    "answer": "Industrial applications of work hardening: During processing, the resistance of metal to plastic deformation continuously increases, making the metal brittle and necessitating multiple intermediate annealing processes, which requires more power consumption for cold working of the metal; work hardening provides the metal matrix with a certain ability to resist accidental overload; appropriate combination of work hardening and plastic deformation enables uniform plastic deformation of the metal, and some processing methods require the metal to have a certain degree of work hardening; work hardening is also one of the important means to strengthen metals, and for some pure metals, work hardening is a key method to improve strength; some components continuously harden on the surface under working conditions, meeting requirements for impact and wear resistance on the surface; after work hardening, the plasticity of materials decreases, improving machinability of materials such as low-carbon steel; the final properties of products can be controlled through cold working.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释work hardening的工业应用，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目要求解释工业应用，涉及多个工作硬化效应的具体应用场景，需要理解工作硬化的基本原理并将其与工业实践相结合。虽然不涉及复杂计算或深度机理分析，但需要对概念进行关联和综合，属于中等应用层次。 | 难度: 在简答题题型中，该题目要求对工作硬化的工业应用进行多角度分析论述。题目不仅需要解释工作硬化的基本概念，还需要详细说明其在工业中的多种应用场景，包括金属加工、材料强化、表面处理等多个方面。此外，答案还需要涉及工作硬化与其他工艺（如冷加工、退火）的关联，以及对材料性能的综合影响。这种多角度的分析和论述要求考生具备较高的综合分析能力和知识应用能力，因此在该题型内属于较高难度等级。"
-  },
-  {
-    "idx": 704,
-    "question": "First-order phase transition",
-    "answer": "During the phase transition, the chemical potentials of the two phases are equal, but the first-order partial derivatives of the chemical potential are not equal. A first-order phase transition involves latent heat and changes in volume.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求对\"First-order phase transition\"进行文字解释和论述，答案提供了详细的定义和特征描述，符合简答题的特点。 | 知识层次: 题目考查对一级相变的基本概念的理解和记忆，包括化学势的相等性、一级偏导数的不相等性以及涉及潜热和体积变化的特点。这些都属于基础概念的记忆和理解范畴，不需要复杂的应用或分析。 | 难度: 在简答题题型中，该题目要求解释一级相变的基本特征，包括化学势的相等和其一阶偏导数的不相等，以及涉及潜热和体积变化。这属于概念解释和描述的难度等级，需要学生对相关概念有一定的理解和记忆，但不需要进行复杂的体系阐述或深入的分析。因此，在简答题题型内属于中等难度。"
-  },
-  {
-    "idx": 786,
-    "question": "5. Inverse spinel structure",
-    "answer": "Inverse spinel structure: It belongs to the cubic crystal system, where oxygen ions can be considered as arranged in a cubic close packing. Divalent cation A fills the octahedral voids, while trivalent cation B fills half of the octahedral voids and half of the tetrahedral voids.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求对反尖晶石结构进行文字解释和论述，答案提供了详细的描述，没有涉及选择、判断或计算。 | 知识层次: 题目考查对反尖晶石结构的基本定义和离子填充方式的理解和记忆，属于基础概念的记忆性知识。 | 难度: 在简答题题型中，该题目要求解释反尖晶石结构的基本组成和离子填充方式，属于概念解释和描述的难度等级。虽然需要记忆晶体结构、离子填充等具体细节，但不需要进行复杂的体系阐述或多概念整合，因此属于等级2。"
-  },
-  {
-    "idx": 1041,
-    "question": "Analyze the reason why the solubility of carbon in austenite is greater than that in ferrite.",
-    "answer": "Austenite is a face-centered cubic crystal, while ferrite is a body-centered cubic crystal. In both face-centered cubic and body-centered cubic structures, carbon atoms are located in their octahedral interstitial sites. The size of the octahedral interstitial site in face-centered cubic is: $0.535\\\\mathring{\\\\mathbf{A}}^{\\\\odot}$, while in body-centered cubic, it is: 0.129A. Therefore, it can be seen that the solubility of carbon in austenite is much greater than that in ferrite.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求分析碳在奥氏体和铁素体中溶解度差异的原因，答案通过文字解释和论述给出了详细的晶体结构差异和间隙位置大小的比较，符合简答题的特征。 | 知识层次: 题目要求分析碳在奥氏体和铁素体中溶解度差异的原因，涉及晶体结构、间隙位置尺寸等概念的关联和综合分析，需要深入理解晶体结构对溶解度的影响机制，属于复杂分析层次。 | 难度: 在简答题题型中，该题目属于机理深度解释难度。题目要求分析碳在奥氏体和铁素体中溶解度差异的原因，涉及晶体结构、间隙位置尺寸等专业知识的综合运用和推理分析。虽然题目给出了部分关键数据（间隙尺寸），但仍需要学生理解并解释这些数据如何影响溶解度，属于该题型中较高难度的题目。"
-  },
-  {
-    "idx": 1048,
-    "question": "Analyze the cause of the iron-carbon dual phase diagram from a kinetic perspective",
-    "answer": "From a kinetic analysis, since Fe3C contains 6.69% carbon, while graphite contains 100% carbon, and the carbon content of commonly used steel materials is less than 5%. Thus, the compositional fluctuation required to form the graphite phase is much larger than that for Fe3C, meaning that forming graphite nuclei is much more difficult than forming Fe3C nuclei.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求从动力学角度分析铁碳双相图的原因，答案提供了详细的文字解释和论述，没有涉及选择、判断或计算。 | 知识层次: 题目要求从动力学角度分析铁碳双相图的成因，涉及Fe3C和石墨相的形成难易比较，需要综合运用动力学原理、相变理论和成分波动等知识进行推理分析，思维过程较为深入。 | 难度: 在简答题-复杂分析题型中，该题目要求从动力学角度深入分析铁碳双相图的形成原因，涉及Fe3C和石墨相形成的核化难易比较，需要综合运用相变动力学、成分波动理论等知识进行机理层面的解释。这种对复杂现象的全面分析和多知识点整合的要求，在同类题型中属于最高难度等级。"
-  },
-  {
-    "idx": 1069,
-    "question": "If the slip plane of a body-centered cubic crystal is {123} and the slip direction is [111], write out the specific slip systems.",
-    "answer": "(123)[1 11], (213)[1 11], (231)[1 11], (31 2)[1 11], (132)[1 11], (32 1)[1 11]",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求写出具体的滑移系统，需要列举所有可能的组合，属于需要具体回答的简答题类型。答案形式为列举具体滑移系统，而非选择、判断或计算。 | 知识层次: 题目要求写出体心立方晶体特定滑移面和滑移方向的具体滑移系统，需要理解滑移面和滑移方向的定义，并能够应用晶体学知识进行多步推导和综合分析。虽然不涉及复杂计算，但需要对晶体结构有较深的理解，并能够关联不同概念来解决问题。 | 难度: 在简答题中属于中等难度，需要理解晶体滑移系统的基本概念，并能够列举出所有可能的滑移系统组合。虽然题目给出了滑移面和滑移方向，但需要学生掌握晶体学指数的计算方法，并能够正确推导出所有等效的滑移系统。这需要一定的综合分析能力，但不需要进行多角度或深度关联性分析。"
-  },
-  {
-    "idx": 1189,
-    "question": "What is the main difference between the first type and the second type of temper brittleness?",
-    "answer": "The first type of temper brittleness is irreversible, while the second type is reversible. The first type of temper brittleness is caused by the precipitation of discontinuous thin-shell carbides along the interfaces of martensite laths or plates during martensite decomposition. The second type of temper brittleness is caused by the segregation of impurity elements such as Sb, Sn, P, and As to the original austenite grain boundaries during tempering.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释两种回火脆性的主要区别，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目要求解释两种回火脆性的主要区别，并涉及它们的形成机理。这需要深入理解材料科学中的相变、析出和偏析现象，以及它们对材料性能的影响。回答不仅需要记忆两种脆性的定义，还需要分析它们的可逆性差异和具体的微观机制，属于较高层次的认知能力要求。 | 难度: 在简答题-复杂分析题型中，该题目要求对两种回火脆性进行全面比较分析，涉及不可逆/可逆性差异、碳化物析出机制、杂质元素偏析等多重机理解释。需要综合运用材料相变、合金元素作用等知识体系进行深度推理，属于该题型下对复杂现象进行机理阐释的最高难度层级。"
-  },
-  {
-    "idx": 1240,
-    "question": "What does the size of the critical nucleus radius depend on?",
-    "answer": "ΔGV and σ",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求解释临界核半径大小取决于哪些因素，答案需要文字说明（ΔGV and σ），属于简答题类型 | 知识层次: 题目考查临界核半径与自由能变化(ΔGV)和表面能(σ)的基本关系，属于基本原理的记忆性知识 | 难度: 在简答题题型中，该题目要求解释临界核半径尺寸的依赖因素(ΔGV和σ)，属于概念解释和描述层面。虽然需要记忆两个关键参数，但不需要展开复杂推导或阐述多因素间的相互作用，因此属于等级2难度。这比单纯背诵定义(等级1)要求略高，但低于需要系统阐述理论推导过程的等级3题目。"
-  },
-  {
-    "idx": 1292,
-    "question": "If the slip of the jog is inconsistent with the slip of the main dislocation line, the main dislocation line will drag the jog to produce climb motion, resulting in what phenomenon?",
-    "answer": "Jog hardening",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释一个现象（jog hardening），需要文字论述而非选择、判断或计算。 | 知识层次: 题目涉及位错运动中的复杂机制分析，需要理解位错与割阶的相互作用以及攀移运动导致的硬化现象，属于对材料变形机理的深入解释和推理分析。 | 难度: 在简答题题型中，该题目属于机理深度解释难度。题目要求考生不仅理解位错运动的基本概念，还需要分析位错线与jog之间的相互作用及其导致的攀移运动现象。这需要考生具备综合运用位错理论和材料变形机理的能力，并能准确描述jog hardening这一复杂现象的产生原因。虽然题目没有要求全面分析所有可能的影响因素，但对机理的解释深度要求较高，因此属于等级4难度。"
-  },
-  {
-    "idx": 1329,
-    "question": "Explain the origin and morphological characteristics of Fe3CIII",
-    "answer": "Fe3CIII: Originates from the precipitation reaction of ferrite, generally distributed in a network pattern along grain boundaries.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求解释Fe3CIII的起源和形态特征，需要文字解释和论述，答案也是以文字形式给出，符合简答题的特征。 | 知识层次: 题目要求解释Fe3CIII的起源和形态特征，涉及相变过程和显微组织观察，需要将多个概念（如沉淀反应、铁素体、晶界分布）关联起来进行综合分析，属于中等应用层次。 | 难度: 在简答题题型中，该题目属于中等难度。题目要求解释Fe3CIII的起源和形态特征，需要考生理解并关联多个概念（如沉淀反应、铁素体、晶界分布等），并进行综合分析。虽然涉及的知识点较为专业，但解题步骤相对直接，不需要多角度或深度关联性分析，因此属于等级3的综合分析和说明难度。"
-  },
-  {
-    "idx": 1460,
-    "question": "What effect do second-phase particles have on the plastic deformation of alloys? Use dislocation theory to explain the mechanism.",
-    "answer": "Key points: They increase the strength of the alloy and the flow resistance during plastic deformation. This is because the resistance increases when dislocations cut through deformable second-phase particles or bypass non-deformable second-phase particles.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求使用位错理论解释第二相粒子对合金塑性变形的影响，答案需要文字解释和论述，符合简答题的特征。 | 知识层次: 题目要求使用位错理论解释第二相粒子对合金塑性变形的影响机制，涉及对位错与第二相粒子相互作用的深入理解和综合分析。需要考生不仅理解位错理论的基本概念，还要能够分析位错切割或绕过第二相粒子的过程，并解释其对合金强度和塑性变形的影响。这种题目要求较高的推理分析和机理解释能力，属于复杂分析层次。 | 难度: 在简答题（需要文字解释和论述）的题型框架内，该题目属于机理深度解释难度等级。题目要求运用位错理论解释第二相粒子对合金塑性变形的影响机制，需要考生不仅掌握位错与第二相粒子的相互作用原理，还要能够清晰阐述可变形/不可变形粒子的强化机制。虽然不涉及多系统交互作用的复杂现象分析（等级5特征），但需要将位错理论、塑性变形和强化机制进行系统性整合，符合等级4对机理深度解释的要求。"
-  },
-  {
-    "idx": 1530,
-    "question": "Explain the strengthening mechanism of solid solution strengthening",
-    "answer": "Solid solution strengthening: For both substitutional atoms and interstitial atoms, under suitable conditions, atomic segregation may occur to form atmospheres. For substitutional lattices, when solute atoms are larger than solvent atoms, solute atoms tend to accumulate in the expanded region of edge dislocations; conversely, they accumulate in the compressed region. Interstitial atoms always tend to accumulate in the expanded region. This phenomenon of diffusion-driven accumulation near dislocations is called Cottrell atmosphere. The Cottrell atmosphere has a pinning effect on dislocations, thereby increasing strength.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释固溶强化的机制，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目要求解释固溶强化的机理，涉及位错与溶质原子的相互作用、Cottrell气团的形成及其对位错的钉扎效应等复杂概念。需要深入理解材料科学中的位错理论和扩散机制，并进行综合分析，属于机理解释层面的问题。 | 难度: 在简答题题型中，该题目属于机理深度解释的难度等级。题目要求详细解释固溶强化的机制，包括置换原子和间隙原子的行为、Cottrell气团的形成及其对位错的钉扎效应。这需要学生不仅理解基本概念，还需要能够综合运用知识进行推理分析，解释复杂的物理现象。虽然题目没有要求全面分析所有可能的复杂现象，但对机理的解释深度要求较高，因此属于等级4。"
-  },
-  {
-    "idx": 1618,
-    "question": "When titanium oxide is oxygen-deficient, the following reaction can occur: $\\\\mathrm{TiO}_{2}-\\\\frac{1}{2}0_{2}{\\\\rightarrow}\\\\mathrm{Ti^{\\\\prime}}_{\\\\mathrm{Ti}}+\\\\mathrm{V}_{0}^{\\\\ast}$. Please correctly write the defect equation and explain the meaning of each term.",
-    "answer": "The defect equation is $2\\\\mathrm{TiO}_{2}-\\\\frac{1}{2}0_{{2}}{\\\\rightarrow}2\\\\mathrm{Ti^{\\\\prime}}_{\\\\mathrm{Ti}}+\\\\mathrm{V}_{0}^{\\\\ast}+30_{0}$.  $\\\\mathrm{Ti^{\\\\prime}}_{\\\\mathrm{Ti}}$: Titanium dioxide loses oxygen, generating $\\\\mathbb{T}^{3+}$ occupying the $\\\\mathbf{Ti}^{4+}$ lattice site, with an effective charge of -1.  $\\\\mathbf{V}_{0}^{*}$: Oxygen vacancy, with an effective charge of $^{+2}$.  $0_{\\\\mathfrak{o}}$: Oxygen still occupies the oxygen lattice site.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求正确写出缺陷方程并解释每个术语的含义，这需要文字解释和论述，而不是选择、判断或计算。 | 知识层次: 题目要求正确书写缺陷方程并解释各项含义，涉及多步概念关联和综合分析。需要理解缺陷化学符号表示法、电荷补偿机制等概念，并能将氧空位与钛离子价态变化关联起来进行分析，属于中等应用层次。 | 难度: 在简答题中属于较高难度，需要正确书写缺陷方程并解释每个术语的含义。题目涉及多步计算和概念关联，要求考生综合理解缺陷化学中的电荷平衡和缺陷符号表示。此外，还需要对钛氧化物氧缺陷的生成机制有深入理解，并能准确描述缺陷的有效电荷状态。这些要求使得该题目在同类简答题中难度较高。"
-  },
-  {
-    "idx": 1695,
-    "question": "How do different types of bonding affect the hardness of crystalline materials?",
-    "answer": "The hardness of crystalline materials is closely related to the type of bonding. Crystals bonded by covalent, ionic, and metallic bonds generally exhibit higher hardness than those bonded by molecular bonds.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求解释不同键合类型如何影响晶体材料的硬度，答案提供了文字解释和论述，没有选项、判断或计算要求。 | 知识层次: 题目主要考查对不同类型化学键与晶体硬度关系的基本概念记忆和理解，属于基础概念层面的知识。 | 难度: 在简答题题型中，该题目属于概念解释和描述级别。虽然涉及不同键合类型对硬度的影响，但只需简要说明各类键合与硬度的基本关系，无需深入分析或构建复杂概念体系。属于对基础概念记忆性知识的应用，但比单纯的定义简答（等级1）要求稍高。"
-  },
-  {
-    "idx": 1721,
-    "question": "What effect does constitutional supercooling have on the solidification structure of alloys?",
-    "answer": "The occurrence of constitutional supercooling phenomenon will cause multicomponent alloys to develop cellular or dendritic structures even under a positive temperature gradient.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释constitutional supercooling对合金凝固结构的影响，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目涉及对constitutional supercooling现象的理解及其对合金凝固结构的影响，需要综合运用材料科学中的凝固理论和相变知识，进行机理的解释和分析。这超出了简单记忆或基本应用的范畴，属于对复杂现象的深入理解和分析。 | 难度: 在简答题-复杂分析题型中，该题目要求对\"成分过冷\"这一专业现象进行机理深度解释，需要综合运用相变原理、热力学和凝固组织形成机制等知识。虽然不涉及多现象交叉分析（等级5特征），但需要对单一复杂现象进行完整的因果链条阐述，符合等级4\"机理深度解释\"的标准。"
-  },
-  {
-    "idx": 1805,
-    "question": "What are grain growth and secondary recrystallization?",
-    "answer": "Grain growth is the process in which the average grain size of a strain-free material continuously increases during heat treatment without altering its distribution. Within the body, grain sizes grow uniformly, and during grain growth, pores remain at grain boundaries or their intersections. Secondary recrystallization is an abnormal growth process where a few large grains grow at the expense of fine grains, representing the abnormal growth of individual grains. During secondary recrystallization, pores become trapped inside the grains.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求对\"grain growth\"和\"secondary recrystallization\"这两个概念进行文字解释和论述，答案提供了详细的定义和特征描述，符合简答题的特点。 | 知识层次: 题目考查的是对晶粒生长和二次再结晶这两个基本概念的定义和描述，属于基础概念的记忆和理解范畴，不涉及复杂的应用或分析过程。 | 难度: 在简答题题型中，该题目属于概念解释和描述难度等级。题目要求解释\"grain growth\"和\"secondary recrystallization\"两个概念，需要考生对这两个概念有基本的理解和记忆，并能用文字进行描述。虽然涉及两个相关概念，但都属于基础概念记忆层次，不需要进行复杂的概念体系阐述或深入分析。在简答题题型中，这属于中等偏下的难度，比单纯的定义简答(等级1)要求稍高，但远低于需要阐述复杂概念体系的题目(等级3)。"
-  },
-  {
-    "idx": 1965,
-    "question": "When bending a tin plate (with a melting point of 232°C) back and forth at room temperature, what phenomenon will occur as the bending proceeds? Why?",
-    "answer": "According to T_recrystallization=(0.35～0.45)Tm, the processing of Sn at room temperature is considered hot working. Therefore, as bending proceeds, dynamic recrystallization occurs in the Sn plate, allowing it to be bent for an extended period.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释现象并论述原因，答案提供了详细的文字解释和理论依据，符合简答题的特征。 | 知识层次: 题目需要综合运用动态再结晶理论（T_recrystallization=(0.35～0.45)Tm）和热加工概念来解释锡板在室温弯曲时的现象，涉及机理分析和多概念关联，思维过程要求较高。 | 难度: 在简答题题型中，该题目属于机理深度解释难度。题目要求考生不仅要知道锡板在室温下弯曲时会发生动态再结晶，还需要理解并解释为什么会出现这种现象（即根据再结晶温度公式T_recrystallization=(0.35～0.45)Tm进行热加工判定）。这需要考生具备将理论公式与实际现象相结合的能力，并能进行合理的推理分析。虽然题目没有要求更复杂的多因素分析或跨学科知识整合，但已经达到了机理解释类简答题的较高难度水平。"
-  },
-  {
-    "idx": 2048,
-    "question": "What is a critical nucleus?",
-    "answer": "According to the relationship between free energy and the radius of an embryo, it can be known that embryos with radius r<r_k cannot nucleate; embryos with r>r_k have the potential to nucleate; while embryos with r=r_k may either disappear or grow stably. Therefore, an embryo with radius r_k is called a critical nucleus. Its physical meaning is that the short-range ordered atomic clusters emerging in the undercooled liquid can become nuclei and grow when their size r≥r_k.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求解释\"critical nucleus\"的概念，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目考查对临界核（critical nucleus）这一基本概念的定义和物理意义的记忆和理解，属于基础概念记忆范畴。 | 难度: 在简答题中属于概念解释和描述难度等级。题目要求解释\"critical nucleus\"的定义及其物理意义，涉及自由能与胚胎半径的关系，需要理解并描述临界核的形成条件（r=r_k）及其在形核过程中的作用。虽然需要一定的概念理解和文字组织能力，但不需要深入分析复杂概念体系或进行多步骤推导，属于中等难度的概念解释题。"
-  },
-  {
-    "idx": 2052,
-    "question": "Point out the errors in the following concepts and correct them: (1) The so-called degree of undercooling refers to the difference between the temperature at which a plateau appears on the cooling curve during crystallization and the melting point; while the dynamic degree of undercooling refers to the difference between the actual temperature of the liquid phase during crystallization and the melting point.",
-    "answer": "The difference between the actual crystallization temperature on the cooling curve and the melting point; the difference between the temperature of the liquid at the liquid-solid interface front and the melting point.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求指出概念中的错误并进行修正，需要文字解释和论述，而不是简单的选择、判断或计算。答案也是以文字形式给出修正后的概念，符合简答题的特征。 | 知识层次: 题目考查对\"过冷度\"和\"动态过冷度\"这两个基本概念的定义理解和辨析，属于基础概念记忆和理解范畴 | 难度: 在简答题题型中，该题目属于概念解释和描述难度等级。题目要求指出并纠正关于过冷度的错误概念，需要学生对基础概念有准确的理解和描述能力，但不需要进行复杂的概念体系阐述或深入分析。该题主要考察学生对\"过冷度\"和\"动态过冷度\"这两个基础概念的定义和区别的掌握程度，属于中等难度的概念解释题。"
-  },
-  {
-    "idx": 2072,
-    "question": "Point out the errors in the following concept and correct them: (9) If 10,000 nucleation agents are added to an undercooled liquid, then 10,000 grains will form after crystallization.",
-    "answer": "then tens of thousands of grains will form after crystallization.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求指出概念中的错误并进行修正，需要文字解释和论述，而不是简单的选择、判断或计算。 | 知识层次: 题目要求识别并纠正关于成核剂与晶粒形成关系的错误概念，需要理解成核过程的基本原理并应用这些知识来分析具体情境。虽然涉及基础概念，但需要将多个知识点（成核剂的作用、晶粒形成机制）关联起来进行综合分析，属于中等应用层次。 | 难度: 在简答题中属于中等难度，需要理解成核剂的作用机制和晶粒形成过程，并能指出原概念的不足并进行修正。虽然不需要多角度分析或深度关联性分析，但需要对相关概念有较好的掌握并能进行简单的综合说明。"
-  },
-  {
-    "idx": 2094,
-    "question": "How to obtain the mass and Cu content of solid α2 by heating solid α1 to melting, slowly cooling to 900°C, and pouring off the liquid?",
-    "answer": "Heat the solid (α1) in (1) to melting, slowly cool to 900°C, pour off the liquid, and the remaining solid α2 has a weight of 390g with w_Cu≈0.03.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求通过文字解释和论述来描述如何通过加热、冷却和倒出液体来获得固体α2的质量和铜含量，答案提供了具体的步骤和结果，但没有涉及选择题、判断题或计算题的特征。 | 知识层次: 题目涉及多步操作（加热、冷却、分离）和结果分析（质量测定和成分计算），需要综合运用相图知识和实验操作步骤的理解，属于中等应用层次。 | 难度: 在简答题题型中，该题目属于中等难度（等级3）。题目要求通过加热、冷却和分离步骤来获取固体α2的质量和铜含量，涉及多步操作和基本计算。虽然需要理解相图和分离过程的概念，但不需要进行复杂的多角度分析或深度关联性分析。解题步骤相对直接，主要考察对实验操作和基础计算的理解与应用。"
-  },
-  {
-    "idx": 2139,
-    "question": "Why is the carburizing temperature for steel parts generally chosen to be in the γ phase region?",
-    "answer": "Because the maximum carbon solubility (mass fraction) in α-Fe is only 0.0218%. For steel with a carbon mass fraction greater than 0.0218%, the carbon concentration gradient in the part during carburizing is zero, making carburizing impossible. Even for pure iron, carburizing in the α phase region results in a very small concentration gradient in the iron, and a high carbon layer cannot be obtained on the surface. Additionally, due to the low temperature, the diffusion coefficient is also very small, making the carburizing process extremely slow and practically meaningless. The carbon solubility in γ-Fe is high, allowing a higher carbon concentration gradient on the surface during carburizing, which facilitates the carburizing process.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释为什么钢件的渗碳温度通常选择在γ相区，答案提供了详细的文字解释和论述，涉及碳溶解度、浓度梯度、扩散系数等多个方面，属于需要文字解释和论述的简答题类型。 | 知识层次: 题目要求解释为什么钢件的渗碳温度通常选择在γ相区，这涉及到对碳在α-Fe和γ-Fe中溶解度的理解、浓度梯度的概念、扩散系数的温度依赖性以及渗碳过程的动力学分析。解答需要综合运用多个概念，进行推理分析，并解释机理，属于复杂分析的层次。 | 难度: 在简答题中属于机理深度解释难度等级。该题目要求考生不仅掌握γ相区和α相区碳溶解度的基本差异，还需要理解碳浓度梯度、扩散系数等概念对渗碳过程的影响机制。解题时需要综合运用相图知识、扩散原理和工艺参数分析能力，对渗碳温度选择的多个技术原因进行逻辑串联和机理层面的解释。虽然不涉及跨学科整合（等级5特征），但已经达到单一学科内较深层次的机理分析要求。"
-  },
-  {
-    "idx": 2224,
-    "question": "Assuming the recrystallization temperature is defined as the temperature at which 95% recrystallization is completed within 1h, according to the Arrhenius equations Ṅ=N0exp(−Qn/RT) and G=G0exp(−Qg/RT), it can be inferred that the recrystallization temperature will be a function of G and Ṅ. Determine the functional relationship between the recrystallization temperature and G0, N0, Qg, Qn.",
-    "answer": "According to the J-M equation, if the temperature at which 95% recrystallization is completed within 1h is defined as TF, then 0.95=1−exp(−π/3 ṄG3t0^4). Therefore, t0=(2.86/ṄG3)^1/4. Substituting the Arrhenius equations, we obtain N0G0^3exp(−(Qn+3Qg)/RTF)=k. Rearranging gives TF=(Qn+3Qg)/(R ln(N0G0^3/k))=k′(Qn+3Qg). This equation represents the functional relationship between TF and N0, G0, Qn, Qg.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求推导和解释功能关系，答案提供了详细的数学推导和文字解释，符合简答题的特征。 | 知识层次: 题目要求根据Arrhenius方程推导再结晶温度与G0、N0、Qg、Qn之间的函数关系，涉及多步计算、概念关联和综合分析。需要理解再结晶温度的定义，运用J-M方程和Arrhenius方程进行推导，并进行数学变换和逻辑推理，思维过程较为复杂。 | 难度: 在简答题 - 需要文字解释和论述的题型中，该题目属于复杂分析 - 综合运用、推理分析、机理解释的知识层次。题目要求根据Arrhenius方程推导再结晶温度与G0、N0、Qn、Qg之间的函数关系，涉及多个步骤的综合运用和机理的深度解释。解题过程需要理解并应用J-M方程，进行数学推导和物理意义的解释，步骤复杂且对知识点的掌握深度要求高。因此，在该题型内属于最高难度等级5。"
-  },
-  {
-    "idx": 2431,
-    "question": "Is the diffusion in oxide ceramics a vacancy exchange mechanism or a rotary exchange mechanism?",
-    "answer": "The bonding in oxide ceramics is ionic bonding, and the diffusion mechanism in ionic crystals is primarily the vacancy exchange mechanism. The activation energy for the rotary exchange mechanism is too high and often disrupts the ionic bonding, so it cannot be the diffusion mechanism.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释和论述扩散机制的类型，答案提供了详细的文字解释和理论依据，符合简答题的特征。 | 知识层次: 题目要求分析氧化物陶瓷中的扩散机制，涉及离子键合、空位交换机制和旋转交换机制的对比，需要综合运用材料科学中的扩散理论和晶体缺陷知识，进行机理的解释和推理分析。这超出了简单记忆或基本应用的范围，属于较为复杂的分析和综合运用层次。 | 难度: 在简答题题型中，该题目属于机理深度解释难度。题目要求考生不仅了解氧化物陶瓷中的扩散机制，还需要分析比较空位交换机制和旋转交换机制的差异，并基于离子键的特性进行推理。这需要考生具备扎实的材料科学基础知识和一定的分析推理能力，但尚未达到全面分析复杂现象的最高难度。"
-  },
-  {
-    "idx": 2837,
-    "question": "$\\mathbf{M}_{\\mathbf{g}}\\mathbf{O}$ has a NaCl-type structure, with slip planes on {110} and slip directions along <110>. Along which direction of tension (or compression) will slip not occur?",
-    "answer": "Based on the characteristics of the slip systems in the magnesium oxide structure, slip will not occur only when tension (or compression) is applied along a direction perpendicular to all (110) planes.  From the standard projection diagram of the cubic crystal system (001), it can be seen that there is no pole that is $90^\\mathfrak{o}$ away from all (110) poles. Therefore, for magnesium oxide, there is no direction of tension (or compression) that will not cause slip.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求通过文字解释和论述来回答问题，答案是基于对晶体结构和滑移系统的分析，没有涉及选择题的选项、判断题的对错判断或计算题的数值计算。 | 知识层次: 题目要求分析MgO晶体在特定应力方向下的滑移行为，需要综合运用晶体学知识（标准投影图）、滑移系统特性以及应力方向与滑移面的几何关系进行推理分析。这涉及多个概念的关联和深层次理解，属于复杂分析范畴。 | 难度: 在简答题-复杂分析题型中，该题目要求综合运用晶体学知识、标准投影图分析以及滑移系统特性进行推理。需要深入理解立方晶系的几何关系，并能通过空间思维判断不存在满足条件的应力方向。解题过程涉及多步骤逻辑推导和机理解释，属于该题型内对综合分析能力要求最高的复杂现象全面分析层级。"
-  },
-  {
-    "idx": 3017,
-    "question": "The close-packed {111} planes of the face-centered cubic (fcc) structure are stacked in the sequence ABCABC..., while the close-packed {0001} planes of the hexagonal close-packed (hcp) structure are stacked in the sequence ABABAB.... Explain how and by introducing what type of dislocations the fcc structure can be entirely transformed into the hcp structure.",
-    "answer": "Accordingly, if the C-layer atoms are moved to the E position (or E2, E positions, all referring to projection positions), the arrangement of the C atomic layer can be changed to that of the A atomic layer. If the B atomic layer is correspondingly moved at this time, it will change to the arrangement of the C atomic layer, and the A-layer atoms will change to the arrangement of the B layer.  Therefore, introducing a partial dislocation of $\\frac{a}{6}(11\\overline{2})$ (or $\\frac{a}{6}(1\\overline{2}1)$, or $\\frac{a}{6}(211)$) into the second layer of the ABCABC... stacking and allowing it to sweep through the third layer and subsequent layers can change the atomic arrangement to ABABCABC.... Then, introducing the same dislocation into the fourth layer and performing the same operation can change the atomic arrangement to ABABABCABC..., and so on, resulting in the ABABAB... stacking sequence.  In summary, by introducing partial dislocations of $\\frac{a}{6}(11\\overline{2})$ (or $\\frac{a}{6}(1\\overline{2}1)$, or $\\frac{a}{6}(211)$) into every second layer (111) plane (where n = 1, 2, 3,...) of the fcc structure's ABCABC... stacking, i.e., introducing a partial dislocation every other layer in the (111) plane, the stacking sequence can be changed to ABABAB..., thereby transforming it into the hcp stacking structure.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释如何通过引入位错将面心立方结构转变为六方密排结构，答案提供了详细的文字解释和论述，没有涉及选择题、判断题或计算题的特征。 | 知识层次: 题目要求解释如何通过引入特定类型的位错将面心立方结构完全转变为六方密排结构，这需要深入理解晶体结构、位错类型及其对晶体结构转变的影响。解答过程涉及多步推理和综合分析，包括位错类型的选择、位错运动对原子层排列的影响，以及如何通过重复操作实现整个结构的转变。这属于复杂分析层次，需要综合运用晶体学和位错理论的知识。 | 难度: 在简答题的复杂分析题型中，该题目要求综合运用晶体结构、位错理论和堆垛序列变换的知识点。解题需要深入理解fcc和hcp结构的堆垛差异，准确描述位错类型（a/6<112>型不全位错）及其引入方式，并完整解释通过位错运动实现结构转变的机理。整个过程涉及多个知识点的综合运用和严密的逻辑推理，在同类题型中属于最高难度的复杂现象全面分析。"
-  },
-  {
-    "idx": 3136,
-    "question": "What is secondary recrystallization (abnormal growth)?",
-    "answer": "After recrystallization is completed, continued heating or holding may lead to discontinuous grain growth, where the growth of most grains is inhibited, while a few grains grow rapidly, which is called abnormal growth, also known as secondary recrystallization.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求对“secondary recrystallization (abnormal growth)”进行解释和论述，答案提供了详细的文字解释，符合简答题的特征。 | 知识层次: 题目考查对二次再结晶（异常生长）这一基本概念的定义和描述，属于基础概念的记忆和理解范畴。 | 难度: 在简答题题型中，该题目属于概念解释和描述难度等级。虽然需要解释\"二次再结晶\"的定义和现象，但不需要阐述复杂的理论体系或进行多层次的逻辑推导。题目要求的是对基础概念的记忆和简单扩展说明，符合等级2对知识掌握深度和解题步骤的要求。"
-  },
-  {
-    "idx": 3223,
-    "question": "In the compression test of a magnesium single crystal at room temperature, the [0001] direction coincides with the compression axis. Assuming that the critical resolved shear stress for twinning on the (10\\\\overline{1}2) plane is 10 times that for slip on the (0001) plane, denoted as $\\\\tau_{\\\\mathrm{e}}$, determine whether the crystal will undergo twinning or slip when the compressive stress is sufficiently large, and explain why.",
-    "answer": "If the compression axis coincides with the [0001] direction, since the slip directions of different slip systems in magnesium are the same, all being <11\\\\overline{2}0> directions, and the slip directions are all perpendicular to the [0001] direction, $\\\\cos\\\\lambda=0$. Therefore, $\\\\sigma_{S}=\\\\frac{\\\\sigma_{C}}{\\\\cos\\\\lambda\\\\cos\\\\phi}=\\\\infty$. No matter how large the pressure is, slip cannot occur. However, the twinning plane is {10\\\\overline{1}2}, and the twinning direction is {10\\\\overline{1}2}. When compressed along the [0001] direction, there is a resolved shear stress. When the external force reaches a certain value, twinning will occur along {10\\\\overline{1}2}<\\\\overline{1}011>{10\\\\overline{1}2}. In this example, the resolved shear stress for twinning has already reached 10 times $\\\\tau_{C}$, so twinning deformation can occur.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 5,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释在特定条件下晶体是发生孪生还是滑移，并给出原因。答案提供了详细的文字解释和论述，没有涉及选择题、判断题或计算题的特征。 | 知识层次: 题目要求综合运用晶体学知识、滑移和孪生的临界分切应力概念，并进行力学分析。需要理解镁单晶的滑移和孪生系统特性，计算分切应力，并比较不同变形机制的临界条件。涉及多步推理和综合分析，属于复杂分析层次。 | 难度: 在简答题的复杂分析题型中，该题目要求综合运用晶体学、力学和材料变形机理的知识，进行深入的推理分析。具体包括："
-  },
-  {
-    "idx": 3251,
-    "question": "Describe the recovery mechanisms at high temperatures above 0.5Tm",
-    "answer": "At high temperatures above 0.5Tm, in addition to dislocation slip, recovery can also occur through climb, with the primary mechanism being polygonization, forming low-angle grain boundaries. After polygonization, subgrain coalescence and growth still exist. Subgrain coalescence can be achieved through the movement of Y-nodes, which requires dislocation climb, slip, and cross-slip to accomplish.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求描述高温下的回复机制，需要详细的文字解释和论述，答案也提供了详细的机制描述和过程说明，符合简答题的特征。 | 知识层次: 题目要求解释高温下恢复机制的具体过程，涉及位错攀移、多边形化、亚晶合并等多个复杂概念的综合运用和机理解释，需要深入分析和推理。 | 难度: 在简答题-复杂分析题型中，该题目要求对高温恢复机制进行机理深度解释，涉及多个专业概念（如位错攀移、多边形化、亚晶合并等）的综合运用和推理分析。虽然未达到最高级别的复杂现象全面分析（如涉及多机制交互作用或定量计算），但已明显超出基础概念描述层面，属于需要深入理解材料科学原理才能完整回答的问题类型。"
-  },
-  {
-    "idx": 3327,
-    "question": "Describe the purpose of quenching",
-    "answer": "Quenching can significantly improve the strength and hardness of steel. Combined with tempering at different temperatures, it can achieve a balance of strength, hardness, and toughness to meet various requirements.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求描述淬火的目的，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目考查淬火的基本目的和效果，属于对基础概念的记忆和理解，不涉及复杂的应用或分析。 | 难度: 在简答题题型中，该题目属于概念解释和描述难度等级。题目要求描述淬火的目的，并涉及淬火与回火结合的效果，需要一定的知识理解和描述能力，但不需要复杂的体系阐述或深入分析。属于中等难度的概念解释题。"
-  },
-  {
-    "idx": 3334,
-    "question": "Explain why the initial structure with fine lamellar pearlite is better using the austenite isothermal formation mechanism.",
-    "answer": "Increasing the dispersion of carbides can accelerate the transformation from pearlite to austenite.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "complex_analysis",
-    "knowledge_level_name": "复杂分析",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释为什么初始结构具有细片状珠光体更好，并涉及奥氏体等温形成机制，需要文字解释和论述。答案也是以论述形式给出，而非选择、判断或计算。 | 知识层次: 题目要求解释初始细片层珠光体结构更优的原因，并涉及奥氏体等温形成机制的分析。这需要综合运用材料科学中的相变原理、组织与性能关系等知识，进行机理层面的推理和解释，属于较高层次的认知要求。 | 难度: 在简答题题型中，该题目要求对珠光体向奥氏体转变的机理进行深度解释，涉及扩散、碳化物分散等复杂概念的综合运用。虽然不需要全面分析多个复杂现象的相互作用（等级5特征），但需要对单一转变过程进行机理层面的详细阐述，符合等级4\"机理深度解释\"的标准。该难度高于基础概念解释类简答题，但低于需要多因素综合分析的最高难度简答题。"
-  },
-  {
-    "idx": 3362,
-    "question": "Discuss the factors affecting the plasticity of materials",
-    "answer": "The main factors affecting the plasticity of steel include: (1) the influence of solute atoms; (2) the influence of grain size; (3) the influence of the second phase; (4) the influence of dislocation strengthening, etc.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求讨论影响材料塑性的因素，答案以文字解释和论述的形式呈现，没有涉及选择、判断或计算。 | 知识层次: 题目要求讨论影响材料塑性的多个因素，涉及多个概念（如溶质原子、晶粒尺寸、第二相、位错强化等）的关联和综合分析，需要理解这些因素如何相互作用并影响材料的塑性行为，属于中等应用层次。 | 难度: 在简答题中属于较高难度，需要从多个角度（溶质原子、晶粒尺寸、第二相、位错强化等）分析影响材料塑性的因素，并进行综合论述。虽然不需要进行深度关联性分析（如不同因素之间的相互作用机制），但仍需展示对材料科学原理的较全面理解和应用能力。"
-  },
-  {
-    "idx": 3512,
-    "question": "Compare the machinability of HT150 and annealed 20 steel",
-    "answer": "The machinability of HT150 is better than that of 20 steel.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求比较两种材料的机械加工性能，需要文字解释和论述，而不是选择、判断或计算。 | 知识层次: 题目要求比较两种材料的机械加工性能，需要理解材料性能与加工性的关系，并进行综合分析。虽然不涉及复杂计算，但需要对材料状态（HT150和退火20钢）及其对加工性能的影响有一定理解，属于中等应用层次。 | 难度: 在简答题题型中，该题目属于中等难度。虽然需要比较两种材料的机械加工性能，但主要涉及对材料基本性能的理解和简单对比，不需要多角度或深度关联性分析。解题步骤相对直接，只需说明HT150的机械加工性能优于20钢即可，无需复杂的计算或深入的概念关联。"
-  },
-  {
-    "idx": 3872,
-    "question": "Determine the required transformation temperature and microconstituent if an eutectoid steel is to have the hardness value HRC 48",
-    "answer": "340 degrees C",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求确定转变温度和微观组织，需要文字解释和论述，答案形式为具体数值但需要结合材料科学知识进行解释 | 知识层次: 题目要求根据硬度值确定共析钢的转变温度和微观组织，需要理解相变温度与硬度之间的关系，并能够应用相关相图知识进行综合分析。这涉及多步推理和概念关联，属于中等应用层次。 | 难度: 在简答题题型中，该题目属于较高难度。首先需要理解共析钢的相变特性与硬度关系，其次要掌握TTT曲线或CCT曲线的应用，最后要能准确关联特定硬度值(HRC 48)与对应的转变温度(340°C)和显微组织。这需要多步概念关联和综合分析能力，包括相变动力学、硬度测试原理和显微组织识别等多个知识点的整合应用。虽然不需要进行复杂的数学计算，但对材料科学基础理论的掌握深度要求较高，属于需要多角度分析论述的题目。"
-  },
-  {
-    "idx": 4243,
-    "question": "(b) Cite the difference between mechanical and annealing twins.",
-    "answer": "Mechanical twins are produced as a result of mechanical deformation and generally occur in BCC and HCP metals. Annealing twins form during annealing heat treatments, most often in FCC metals.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求解释两种孪晶的区别，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目考查对机械孪晶和退火孪晶这两种基本概念的定义和形成条件的记忆和理解，不涉及复杂的应用或分析过程。 | 难度: 在简答题题型中，该题目要求解释两种孪晶的区别，涉及基础概念的记忆和简单对比。虽然需要掌握机械孪晶和退火孪晶的定义及形成条件，但不需要深入分析或阐述复杂概念体系，属于概念解释和描述的中等难度级别。"
-  },
-  {
-    "idx": 4348,
-    "question": "What is the composition of the alloy if eutectoid cementite exists in addition to proeutectoid cementite?",
-    "answer": "the alloy composition is 1.11 wt% c.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_5",
-    "reasoning": "题型: 题目要求解释合金的组成情况，并给出了具体的成分数值，需要文字解释和论述来回答，而不是简单的选择、判断或计算。 | 知识层次: 题目需要理解共析渗碳体和先共析渗碳体的概念，并运用铁碳相图进行多步分析来确定合金成分，涉及概念关联和综合分析。 | 难度: 在简答题中属于较高难度，需要理解并关联多个概念（如eutectoid cementite和proeutectoid cementite），进行多步计算（确定合金成分），并进行综合分析（解释为什么特定成分会导致这两种相的存在）。这超出了基础概念回忆或简单计算的范畴，属于多角度分析论述的层次。"
-  },
-  {
-    "idx": 4528,
-    "question": "Cite one similarity between precipitation hardening and dispersion strengthening.",
-    "answer": "The similarity between precipitation hardening and dispersion strengthening is the strengthening mechanism--i.e., the precipitates/particles effectively hinder dislocation motion.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_3",
-    "reasoning": "题型: 题目要求用文字解释和论述两种强化机制的相似点，答案提供了详细的文字解释，符合简答题的特征。 | 知识层次: 题目考查对两种强化机制的基本概念的理解和记忆，只需要回答一个相似点，不涉及复杂的应用或分析。 | 难度: 在简答题题型中，该题目要求解释两种强化机制的相似之处，属于概念解释和描述的难度级别。虽然需要理解两种机制的基本原理，但不需要深入阐述复杂的概念体系或进行多层次的比较分析。"
-  },
-  {
-    "idx": 4562,
-    "question": "Briefly explain why cold-worked metals are more susceptible to corrosion than noncold-worked metals.",
-    "answer": "Cold-worked metals are more susceptible to corrosion than noncold-worked metals because of the increased dislocation density for the latter. The region in the vicinity of a dislocation that intersects the surface is at a higher energy state, and, therefore, is more readily attacked by a corrosive solution.",
-    "question_type": "short_answer",
-    "question_type_name": "简答题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 3,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求简要解释冷加工金属比非冷加工金属更容易腐蚀的原因，答案提供了详细的文字解释和论述，符合简答题的特征。 | 知识层次: 题目要求解释冷加工金属更易腐蚀的原因，涉及位错密度与腐蚀敏感性的关联，需要理解位错对材料表面能状态的影响，并进行概念关联和综合分析。 | 难度: 在简答题中属于中等难度，需要理解冷加工金属的位错密度增加及其对腐蚀敏感性的影响，并进行简要的解释和论述。虽然涉及概念关联，但不需要多角度或深度分析。"
-  },
-  {
-    "idx": 2108,
-    "question": "Point out the incorrect concept and correct it: In solid solution grains, dendritic segregation exists, the composition of the main axis differs from that of the interdendritic regions, so the entire grain is not a single phase.",
-    "answer": "Therefore, the entire grain is a single phase.",
-    "question_type": "true_false",
-    "question_type_name": "判断题",
-    "knowledge_level": "basic_concepts",
-    "knowledge_level_name": "基础概念记忆",
-    "difficulty": 2,
-    "final_level": "Level_2",
-    "reasoning": "题型: 题目要求判断一个概念的正确性并纠正错误，属于判断对错并改正的题型。答案直接给出了正确的陈述，符合判断题的特征。 | 知识层次: 题目考查对固溶体晶粒中枝晶偏析和单相概念的基本理解，属于基础概念的记忆和判断。 | 难度: 在判断题题型中，该题目属于概念理解的对错判断难度等级。题目要求考生不仅能够识别出错误的概念陈述，还需要进行纠正，这比单纯判断正误（等级1）要求更高的概念理解深度。但题目并未涉及多个概念的交叉或复杂逻辑推理（等级3），因此属于中等难度。"
-  },
-  {
-    "idx": 3297,
-    "question": "Is the statement that the strength and hardness of martensite mainly depend on the mass fraction of carbon correct? Why?",
-    "answer": "Incorrect. The hardness of martensite primarily depends on the carbon content (mass fraction), but the strength of martensite not only depends on its hardness but also on the morphology of martensite and the size of martensite laths (or plates).",
-    "question_type": "true_false",
-    "question_type_name": "判断题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求判断一个陈述的对错，并解释原因。答案明确指出了陈述的错误之处，并提供了详细的解释。 | 知识层次: 题目不仅需要理解马氏体硬度和强度的基本概念，还需要分析碳含量、马氏体形态和板条尺寸对性能的影响，涉及多个概念的关联和综合分析。 | 难度: 在判断题题型中，该题目属于综合分析结果判断难度。题目不仅要求判断陈述的对错，还需要解释原因，涉及对马氏体强度和硬度影响因素的深入理解（碳含量、马氏体形态和板条尺寸等）。这需要将多个材料科学概念关联起来进行综合分析，比单纯判断正误的题目更为复杂。"
-  },
-  {
-    "idx": 3952,
-    "question": "The diffusion coefficient for aluminum in silicon is D_{\\mathrm{Al}} in_{\\mathrm{Si}}=3 × 10^{-16} cm^{2} / s at 300 K (note that 300 K is about room temperature).\nWhat is a reasonable value for D_{\\mathrm{Al} \\text { in } \\mathrm{Si}} at 600 K ?\nNote: Rather than performing a specific calculation, you should be able to justify your answer from the options below based on the mathematical temperature dependence of the diffusion coefficient.\n(a) D<3 × 10^{16} cm^{2} / s\n(b) D=3 × 10^{16} cm^{2} / s\n(c) D=6 × 10^{16} cm^{2} / s\n(d) D=1.5 × 10^{16} cm^{2} /{s}\n(e) D>6 × 10^{16} cm^{2} /\n(f) D=6 × 10^{-17} cm^{2} / s",
-    "answer": "We expect the diffusion coefficient to increase if the temperature of this system is increased. Therefore, options (a), (b), (d), and (f) are eliminated.\nFurthermore, we expect that since the diffusion coefficient is exponentially dependent on temperature, the diffusivity should increase by more than a factor of two if the absolute temperature is doubled.",
-    "question_type": "multiple_choice",
-    "question_type_name": "选择题",
-    "knowledge_level": "medium_application",
-    "knowledge_level_name": "中等应用",
-    "difficulty": 4,
-    "final_level": "Level_4",
-    "reasoning": "题型: 题目要求从多个选项中选择一个合理的扩散系数值，并基于扩散系数的温度依赖性进行判断。答案形式为从给定的选项中选择最合适的答案。 | 知识层次: 题目要求理解扩散系数与温度的数学关系，并基于此进行合理推断。虽然不需要具体计算，但需要理解温度对扩散系数的指数影响，并能够排除不符合温度依赖关系的选项。这涉及到多步推理和概念关联，属于中等应用层次。 | 难度: 在选择题中属于较高难度，需要理解扩散系数的温度依赖性（阿伦尼乌斯方程），并能够基于温度变化对扩散系数的影响进行合理推断。题目要求考生不仅知道扩散系数随温度升高而增加，还需要判断增加的幅度（指数关系导致超过线性增长）。此外，需要排除多个干扰选项，综合分析能力要求较高。"
-  }
-]

layer2/PGEE/code/step5_isconvert_class.py

@@ -0,0 +1,501 @@
+import json
+import openai
+from typing import Dict, Any, List
+import time
+import logging
+from concurrent.futures import ThreadPoolExecutor, as_completed
+import threading
+from queue import Queue
+from tqdm import tqdm
+
+# 设置日志
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+class QuestionConverter:
+    def __init__(self, api_key: str, base_url: str, model_name: str, max_workers: int = 20):
+        """
+        初始化转换器
+        
+        Args:
+            api_key: OpenAI API密钥
+            base_url: API基础URL
+            model_name: 模型名称
+            max_workers: 最大线程数
+        """
+        self.api_key = api_key
+        self.base_url = base_url
+        self.model_name = model_name
+        self.max_workers = max_workers
+        
+        # 线程锁用于保护共享资源
+        self.lock = threading.Lock()
+        self.processed_count = 0
+        self.total_count = 0
+        
+        # 为每个线程创建独立的client
+        self.thread_local = threading.local()
+        
+        # 进度条
+        self.progress_bar = None
+    
+    def get_client(self):
+        """
+        获取线程本地的OpenAI客户端
+        """
+        if not hasattr(self.thread_local, 'client'):
+            self.thread_local.client = openai.OpenAI(
+                api_key=self.api_key,
+                base_url=self.base_url
+            )
+        return self.thread_local.client
+    
+    def create_conversion_prompt(self, question_data: Dict[str, Any]) -> str:
+        """
+        创建用于判断题目转换的提示词
+        
+        Args:
+            question_data: 题目数据字典
+            
+        Returns:
+            str: 格式化的提示词
+        """
+        question_type = question_data.get("question_type", "")
+        question = question_data.get("question", "")
+        answer = question_data.get("answer", "")
+        
+        prompt = f"""
+请分析以下题目是否可以转换为单选题格式，并提取正确选项和转换后的题目。
+
+题目类型: {question_data.get("question_type_name", "")} ({question_type})
+题目: {question}
+答案: {answer}
+
+分析要求：
+1. 判断题目是否可以转换为单选题格式（是/否）
+2. 如果可以转换，请提取或识别正确选项内容
+3. 如果可以转换，将原题目整理为适合单选题的题目表述（不要包含选项，只要题目部分）
+4. 如果不能转换，说明原因
+
+输出格式（严格按照JSON格式）：
+{{
+    "convertible": true/false,
+    "correct_option": "正确选项内容（如果可转换）",
+    "choice_question": "转换后的单选题题目（如果可转换，不要选项）",
+    "reason": "判断理由"
+}}
+
+注意：
+- 选择题本身已经是单选题格式，标记为可转换，正确选项就是原答案，题目保持原样
+- 计算题如果答案是确定的数值或选项，可以转换，需要将题目改写为适合选择的形式
+- 简答题如果答案是标准术语或概念，可以转换，需要将题目改写为"下列哪个是..."的形式
+- 判断题理论上都可以转换为"正确/错误"的单选题，题目保持原样
+
+转换示例：
+- 计算题 "计算2+3等于多少？" → "2+3等于："
+- 简答题 "什么是光合作用？" → "下列关于光合作用的描述，正确的是："
+- 判断题 "地球是圆的。" → "地球是圆的。"
+"""
+        return prompt
+    
+    def analyze_question(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        分析单个题目是否可以转换为单选题
+        
+        Args:
+            question_data: 题目数据字典
+            
+        Returns:
+            Dict: 包含转换结果的字典
+        """
+        question_idx = question_data.get("idx", "N/A")
+        thread_id = threading.current_thread().ident
+        
+        try:
+            question_type = question_data.get("question_type", "")
+            
+            # 判断题特殊处理：全部标记为可转换
+            if question_type == "true_false":
+                result = {
+                    "convertible": True,
+                    "correct_option": question_data.get("answer", ""),
+                    "choice_question": question_data.get("question", ""),
+                    "reason": "判断题可以转换为正确/错误的单选题格式"
+                }
+            else:
+                # 其他题型调用AI分析
+                result = self._call_ai_analysis(question_data)
+            
+            # 更新进度条
+            with self.lock:
+                self.processed_count += 1
+                if self.progress_bar:
+                    self.progress_bar.update(1)
+                    self.progress_bar.set_postfix({
+                        'current': question_idx,
+                        'thread': f'{thread_id % 10000}',
+                        'convertible': result.get('convertible', False)
+                    })
+            
+            return result
+            
+        except Exception as e:
+            logger.error(f"[线程-{thread_id}] 处理题目 {question_idx} 失败: {e}")
+            
+            # 更新进度条（即使失败也要更新）
+            with self.lock:
+                self.processed_count += 1
+                if self.progress_bar:
+                    self.progress_bar.update(1)
+                    self.progress_bar.set_postfix({
+                        'current': question_idx,
+                        'thread': f'{thread_id % 10000}',
+                        'status': 'ERROR'
+                    })
+            
+            return {
+                "convertible": False,
+                "correct_option": "",
+                "choice_question": "",
+                "reason": f"处理失败: {str(e)}"
+            }
+    
+    def _call_ai_analysis(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        调用AI进行分析（内部方法）
+        """
+        max_retries = 3
+        retry_delay = 1.0
+        
+        for attempt in range(max_retries):
+            try:
+                client = self.get_client()
+                prompt = self.create_conversion_prompt(question_data)
+                
+                response = client.chat.completions.create(
+                    model=self.model_name,
+                    messages=[
+                        {
+                            "role": "system", 
+                            "content": "你是一个教育评估专家，专门分析题目格式转换的可行性。请严格按照要求的JSON格式输出结果。"
+                        },
+                        {"role": "user", "content": prompt}
+                    ],
+                    temperature=0.1,
+                    max_tokens=800  # 增加token数量以容纳转换后的题目
+                )
+                
+                result_text = response.choices[0].message.content.strip()
+                
+                # 尝试解析JSON结果
+                try:
+                    # 提取JSON部分
+                    json_start = result_text.find('{')
+                    json_end = result_text.rfind('}') + 1
+                    if json_start != -1 and json_end > json_start:
+                        json_str = result_text[json_start:json_end]
+                        result = json.loads(json_str)
+                    else:
+                        raise ValueError("无法找到有效的JSON格式")
+                    
+                    return {
+                        "convertible": result.get("convertible", False),
+                        "correct_option": result.get("correct_option", ""),
+                        "choice_question": result.get("choice_question", ""),
+                        "reason": result.get("reason", "")
+                    }
+                    
+                except (json.JSONDecodeError, ValueError) as e:
+                    if attempt == max_retries - 1:  # 最后一次尝试
+                        logger.error(f"解析AI响应失败: {e}, 响应内容: {result_text}")
+                        return {
+                            "convertible": False,
+                            "correct_option": "",
+                            "choice_question": "",
+                            "reason": f"AI响应解析失败: {str(e)}"
+                        }
+                    else:
+                        logger.warning(f"解析失败，第{attempt+1}次重试...")
+                        time.sleep(retry_delay)
+                        continue
+                        
+            except Exception as e:
+                if attempt == max_retries - 1:  # 最后一次尝试
+                    logger.error(f"调用AI接口失败: {e}")
+                    return {
+                        "convertible": False,
+                        "correct_option": "",
+                        "choice_question": "",
+                        "reason": f"API调用失败: {str(e)}"
+                    }
+                else:
+                    logger.warning(f"API调用失败，第{attempt+1}次重试: {e}")
+                    time.sleep(retry_delay * (attempt + 1))  # 递增延迟
+                    continue
+    
+    def process_single_question(self, question: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        处理单个题目的包装函数，用于线程池
+        
+        Args:
+            question: 题目数据字典
+            
+        Returns:
+            Dict: 处理后的题目数据
+        """
+        # 分析题目转换可行性
+        conversion_result = self.analyze_question(question)
+        
+        # 保留原有字段并添加新字段
+        processed_question = question.copy()
+        processed_question["convertible"] = conversion_result["convertible"]
+        processed_question["correct_option"] = conversion_result["correct_option"]
+        processed_question["choice_question"] = conversion_result["choice_question"]
+        processed_question["conversion_reason"] = conversion_result["reason"]
+        
+        return processed_question
+    
+    def process_questions(self, questions: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+        """
+        使用多线程批量处理题目列表
+        
+        Args:
+            questions: 题目列表
+            
+        Returns:
+            List: 处理后的题目列表
+        """
+        self.total_count = len(questions)
+        self.processed_count = 0
+        processed_questions = []
+        
+        logger.info(f"开始使用 {self.max_workers} 个线程处理 {len(questions)} 道题目...")
+        
+        # 创建进度条
+        with tqdm(
+            total=len(questions),
+            desc="处理题目",
+            ncols=100,
+            unit="题",
+            bar_format="{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}] {postfix}"
+        ) as pbar:
+            self.progress_bar = pbar
+            
+            # 使用线程池执行器
+            with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
+                # 提交所有任务
+                future_to_question = {
+                    executor.submit(self.process_single_question, question): question 
+                    for question in questions
+                }
+                
+                # 收集结果，保持原有顺序
+                question_results = {}
+                
+                # 处理完成的任务
+                for future in as_completed(future_to_question):
+                    original_question = future_to_question[future]
+                    question_idx = original_question.get("idx", "N/A")
+                    
+                    try:
+                        result = future.result()
+                        question_results[question_idx] = result
+                    except Exception as exc:
+                        logger.error(f"题目 {question_idx} 处理异常: {exc}")
+                        # 创建错误结果
+                        error_result = original_question.copy()
+                        error_result.update({
+                            "convertible": False,
+                            "correct_option": "",
+                            "choice_question": "",
+                            "conversion_reason": f"处理异常: {str(exc)}"
+                        })
+                        question_results[question_idx] = error_result
+                        
+                        # 手动更新进度条（如果异常没有被正常处理）
+                        with self.lock:
+                            if self.processed_count < self.total_count:
+                                remaining = self.total_count - pbar.n
+                                if remaining > 0:
+                                    pbar.update(remaining)
+            
+            # 确保进度条完成
+            if pbar.n < pbar.total:
+                pbar.update(pbar.total - pbar.n)
+        
+        # 重置进度条引用
+        self.progress_bar = None
+        
+        # 按原始顺序重新排列结果
+        for question in questions:
+            question_idx = question.get("idx", "N/A")
+            if question_idx in question_results:
+                processed_questions.append(question_results[question_idx])
+            else:
+                # 如果没有找到结果，创建默认错误结果
+                error_result = question.copy()
+                error_result.update({
+                    "convertible": False,
+                    "correct_option": "",
+                    "choice_question": "",
+                    "conversion_reason": "未找到处理结果"
+                })
+                processed_questions.append(error_result)
+        
+        logger.info(f"多线程处理完成！总共处理了 {len(processed_questions)} 道题目")
+        return processed_questions
+    
+    def save_results(self, processed_questions: List[Dict[str, Any]], 
+                    output_file: str):
+        """
+        保存处理结果到JSON文件
+        
+        Args:
+            processed_questions: 处理后的题目列表
+            output_file: 输出文件路径
+        """
+        try:
+            # 保存文件的进度条
+            with tqdm(desc="保存文件", unit="题", total=len(processed_questions)) as pbar:
+                with open(output_file, 'w', encoding='utf-8') as f:
+                    json.dump(processed_questions, f, ensure_ascii=False, indent=2)
+                pbar.update(len(processed_questions))
+            
+            logger.info(f"结果已保存到: {output_file}")
+            
+            # 输出统计信息
+            total_questions = len(processed_questions)
+            convertible_count = sum(1 for q in processed_questions if q.get("convertible", False))
+            
+            logger.info(f"处理完成统计:")
+            logger.info(f"总题目数: {total_questions}")
+            logger.info(f"可转换题目数: {convertible_count}")
+            logger.info(f"转换率: {convertible_count/total_questions*100:.1f}%")
+            
+            # 按题型统计
+            type_stats = {}
+            for q in processed_questions:
+                q_type = q.get("question_type_name", "未知")
+                if q_type not in type_stats:
+                    type_stats[q_type] = {"total": 0, "convertible": 0}
+                type_stats[q_type]["total"] += 1
+                if q.get("convertible", False):
+                    type_stats[q_type]["convertible"] += 1
+            
+            logger.info("各题型转换统计:")
+            for q_type, stats in type_stats.items():
+                rate = stats["convertible"] / stats["total"] * 100 if stats["total"] > 0 else 0
+                logger.info(f"  {q_type}: {stats['convertible']}/{stats['total']} ({rate:.1f}%)")
+            
+            # 输出一些转换示例
+            logger.info("\n转换示例:")
+            example_count = 0
+            for q in processed_questions:
+                if q.get("convertible", False) and example_count < 3:
+                    logger.info(f"  原题目: {q.get('question', '')[:50]}...")
+                    logger.info(f"  转换后: {q.get('choice_question', '')[:50]}...")
+                    logger.info(f"  正确选项: {q.get('correct_option', '')}")
+                    logger.info(f"  理由: {q.get('conversion_reason', '')}")
+                    logger.info("  " + "-"*50)
+                    example_count += 1
+                
+        except Exception as e:
+            logger.error(f"保存文件失败: {e}")
+
+def load_questions(input_file: str) -> List[Dict[str, Any]]:
+    """
+    从JSON文件加载题目数据
+    
+    Args:
+        input_file: 输入文件路径
+        
+    Returns:
+        List: 题目列表
+    """
+    try:
+        with tqdm(desc="加载文件", unit="B", unit_scale=True) as pbar:
+            with open(input_file, 'r', encoding='utf-8') as f:
+                questions = json.load(f)
+                pbar.update(1)
+        
+        logger.info(f"成功加载 {len(questions)} 道题目")
+        return questions
+    except Exception as e:
+        logger.error(f"加载文件失败: {e}")
+        return []
+
+def main():
+    """
+    主函数 - 配置API信息并执行转换
+    """
+    # ========== 配置区域 ==========
+    # 请在这里填入您的API配置信息
+    API_KEY = "sk-oYh3Xrhg8oDY2gW02c966f31C84449Ad86F9Cd9dF6E64a8d"  # 填入您的OpenAI API Key
+    BASE_URL = "https://vip.apiyi.com/v1"  # 填入API基础URL，如 "https://api.openai.com/v1"
+    MODEL_NAME = "deepseek-chat"  # 填入模型名称，如 "gpt-4o-mini", "gpt-3.5-turbo"等
+    
+    # 文件路径配置
+    INPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step4_enhanced_classified_questions.json"  # 输入文件路径
+    OUTPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step5_converted_questions.json"  # 输出文件路径
+    
+    # 多线程配置
+    MAX_WORKERS = 20  # 线程数，根据API限制和系统性能调整
+    # ============================
+    
+    # 检查必要的配置
+    if not all([API_KEY, BASE_URL, MODEL_NAME]):
+        logger.error("请在main函数中配置API_KEY, BASE_URL和MODEL_NAME!")
+        return
+    
+    try:
+        print("🚀 开始题目转换分析...")
+        
+        # 加载题目数据
+        questions = load_questions(INPUT_FILE)
+        if not questions:
+            logger.error("没有加载到有效的题目数据")
+            return
+
+        # 过滤掉判断题（根据需求，判断题单独处理）
+        target_questions = []
+        for q in questions:
+            q_type = q.get("question_type", "")
+            # 包含选择题、计算题、简答题，以及判断题（统一处理）
+            if q_type in ["multiple_choice", "calculation", "short_answer", "true_false"]:
+                target_questions.append(q)
+        
+        # target_questions = target_questions[:200]  # 调试用
+        
+        logger.info(f"筛选出需要处理的题目: {len(target_questions)} 道")
+        
+        # 初始化转换器
+        converter = QuestionConverter(
+            api_key=API_KEY,
+            base_url=BASE_URL, 
+            model_name=MODEL_NAME,
+            max_workers=MAX_WORKERS
+        )
+        
+        # 记录开始时间
+        start_time = time.time()
+        
+        # 处理题目
+        processed_questions = converter.process_questions(target_questions)
+        
+        # 记录结束时间并计算用时
+        end_time = time.time()
+        total_time = end_time - start_time
+        
+        logger.info(f"处理耗时: {total_time:.2f} 秒 ({total_time/60:.2f} 分钟)")
+        logger.info(f"平均每题处理时间: {total_time/len(target_questions):.2f} 秒")
+        
+        # 保存结果
+        converter.save_results(processed_questions, OUTPUT_FILE)
+        
+        print("✅ 题目转换分析完成!")
+        
+    except Exception as e:
+        logger.error(f"程序执行失败: {e}")
+
+if __name__ == "__main__":
+    main()

layer2/PGEE/code/step6_perplexityclass.py

@@ -0,0 +1,516 @@
+import json
+import openai
+from typing import Dict, Any, List
+import time
+import logging
+from concurrent.futures import ThreadPoolExecutor, as_completed
+import threading
+from tqdm import tqdm
+
+# 设置日志
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+class QuestionPerplexityAnalyzer:
+    def __init__(self, api_key: str, base_url: str, model_name: str, max_workers: int = 20):
+        """
+        初始化题目完整性分析器
+        
+        Args:
+            api_key: OpenAI API密钥
+            base_url: API基础URL
+            model_name: 模型名称
+            max_workers: 最大线程数
+        """
+        self.api_key = api_key
+        self.base_url = base_url
+        self.model_name = model_name
+        self.max_workers = max_workers
+        
+        # 线程锁用于保护共享资源
+        self.lock = threading.Lock()
+        self.processed_count = 0
+        self.total_count = 0
+        
+        # 为每个线程创建独立的client
+        self.thread_local = threading.local()
+        
+        # 进度条
+        self.progress_bar = None
+    
+    def get_client(self):
+        """
+        获取线程本地的OpenAI客户端
+        """
+        if not hasattr(self.thread_local, 'client'):
+            self.thread_local.client = openai.OpenAI(
+                api_key=self.api_key,
+                base_url=self.base_url
+            )
+        return self.thread_local.client
+    
+    def create_perplexity_prompt(self, question_data: Dict[str, Any]) -> str:
+        """
+        创建用于判断题目完整性的提示词
+        
+        Args:
+            question_data: 题目数据字典
+            
+        Returns:
+            str: 格式化的提示词
+        """
+        choice_question = question_data.get("choice_question", "")
+        correct_option = question_data.get("correct_option", "")
+        original_question = question_data.get("question", "")
+        extra_info_question = question_data.get("reasoning", "")
+        
+        prompt = f"""
+请分析以下选择题是否存在信息不完整的问题，这些问题会让材料科学硕士研究生做题者感到困惑。
+
+转换后的选择题题目: {choice_question}
+正确选项: {correct_option}
+原始题目: {original_question}
+题型、考察知识点与难度：{extra_info_question}
+
+需要检测的困惑类型（不包括材料科学专业学生应该掌握、熟悉、了解的知识点）：
+1. **指代不明确**: 题目中提到"两种类型"、"这些物质"、"上述材料"等，但没有明确说明具体是什么
+2. **缺少关键信息**: 题目中缺少必要的数据、条件或背景信息（不包括材料科学领域学生应该记忆、熟悉、掌握的知识，这正是考点而不是信息缺失）
+3. **上下文依赖**: 题目依赖于图表、前文或其他未提供的信息
+4. **条件不足**: 解题所需的条件或参数不完整
+
+分析要求：
+1. 判断题目是否存在上述困惑问题
+2. 如果存在，识别具体的困惑类型和原因
+3. 评估困惑程度（轻微、中等、严重）
+4. 有一些题目的困惑目的是为了考察学生的能力，不能认为是困惑
+5. 仔细识别缺失的信息，有一些题目的缺失信息正是考察学生是否熟悉材料科学专业知识点而故意设计的，不能认为是困惑
+5. 凡是不影响考察学生能力的题目都不认为是困惑
+
+输出格式（严格按照JSON格式）：
+{{
+    "has_perplexity": true/false,
+    "perplexity_type": "困惑类型（如果存在）",
+    "perplexity_level": "困惑程度: mild/moderate/severe",
+    "perplexity_reason": "具体的困惑原因说明",  
+    "missing_info": "缺少的关键信息"
+}}
+
+示例分析：
+- "Which of the two types of glass has higher viscosity?" → 缺少具体的玻璃类型信息
+- "根据上图，计算该材料的密度" → 缺少图表信息
+- "这种方法的优势是什么？" → 没有明确指明是哪种方法
+"""
+        return prompt
+    
+    def analyze_question_perplexity(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        分析单个题目的完整性
+        
+        Args:
+            question_data: 题目数据字典
+            
+        Returns:
+            Dict: 包含分析结果的字典
+        """
+        question_idx = question_data.get("idx", "N/A")
+        thread_id = threading.current_thread().ident
+        
+        try:
+            # 检查是否有choice_question字段
+            if not question_data.get("choice_question"):
+                result = {
+                    "has_perplexity": False,
+                    "perplexity_type": "no_choice_question",
+                    "perplexity_level": "none",
+                    "perplexity_reason": "没有转换后的选择题题目",
+                    "missing_info": ""
+                }
+            else:
+                # 调用AI分析
+                result = self._call_ai_analysis(question_data)
+            
+            # 更新进度条
+            with self.lock:
+                self.processed_count += 1
+                if self.progress_bar:
+                    self.progress_bar.update(1)
+                    self.progress_bar.set_postfix({
+                        'current': question_idx,
+                        'thread': f'{thread_id % 10000}',
+                        'perplexity': result.get('has_perplexity', False)
+                    })
+            
+            return result
+            
+        except Exception as e:
+            logger.error(f"[线程-{thread_id}] 分析题目 {question_idx} 失败: {e}")
+            
+            # 更新进度条（即使失败也要更新）
+            with self.lock:
+                self.processed_count += 1
+                if self.progress_bar:
+                    self.progress_bar.update(1)
+                    self.progress_bar.set_postfix({
+                        'current': question_idx,
+                        'thread': f'{thread_id % 10000}',
+                        'status': 'ERROR'
+                    })
+            
+            return {
+                "has_perplexity": True,
+                "perplexity_type": "analysis_error",
+                "perplexity_level": "unknown",
+                "perplexity_reason": f"分析失败: {str(e)}",
+                "missing_info": ""
+            }
+    
+    def _call_ai_analysis(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        调用AI进行分析（内部方法）
+        """
+        max_retries = 3
+        retry_delay = 1.0
+        
+        for attempt in range(max_retries):
+            try:
+                client = self.get_client()
+                prompt = self.create_perplexity_prompt(question_data)
+                
+                response = client.chat.completions.create(
+                    model=self.model_name,
+                    messages=[
+                        {
+                            "role": "system", 
+                            "content": "你是一个教育评估专家，专门分析题目的完整性和清晰度。请仔细分析题目是否存在信息不完整的问题，严格按照要求的JSON格式输出结果。"
+                        },
+                        {"role": "user", "content": prompt}
+                    ],
+                    temperature=0.1,
+                    max_tokens=600
+                )
+                
+                result_text = response.choices[0].message.content.strip()
+                
+                # 尝试解析JSON结果
+                try:
+                    # 提取JSON部分
+                    json_start = result_text.find('{')
+                    json_end = result_text.rfind('}') + 1
+                    if json_start != -1 and json_end > json_start:
+                        json_str = result_text[json_start:json_end]
+                        result = json.loads(json_str)
+                    else:
+                        raise ValueError("无法找到有效的JSON格式")
+                    
+                    return {
+                        "has_perplexity": result.get("has_perplexity", False),
+                        "perplexity_type": result.get("perplexity_type", ""),
+                        "perplexity_level": result.get("perplexity_level", "none"),
+                        "perplexity_reason": result.get("perplexity_reason", ""),
+                        "missing_info": result.get("missing_info", "")
+                    }
+                    
+                except (json.JSONDecodeError, ValueError) as e:
+                    if attempt == max_retries - 1:  # 最后一次尝试
+                        logger.error(f"解析AI响应失败: {e}, 响应内容: {result_text}")
+                        return {
+                            "has_perplexity": True,
+                            "perplexity_type": "parsing_error",
+                            "perplexity_level": "unknown",
+                            "perplexity_reason": f"AI响应解析失败: {str(e)}",
+                            "missing_info": ""
+                        }
+                    else:
+                        logger.warning(f"解析失败，第{attempt+1}次重试...")
+                        time.sleep(retry_delay)
+                        continue
+                        
+            except Exception as e:
+                if attempt == max_retries - 1:  # 最后一次尝试
+                    logger.error(f"调用AI接口失败: {e}")
+                    return {
+                        "has_perplexity": True,
+                        "perplexity_type": "api_error",
+                        "perplexity_level": "unknown",
+                        "perplexity_reason": f"API调用失败: {str(e)}",
+                        "missing_info": ""
+                    }
+                else:
+                    logger.warning(f"API调用失败，第{attempt+1}次重试: {e}")
+                    time.sleep(retry_delay * (attempt + 1))  # 递增延迟
+                    continue
+    
+    def process_single_question(self, question: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        处理单个题目的包装函数，用于线程池
+        
+        Args:
+            question: 题目数据字典
+            
+        Returns:
+            Dict: 处理后的题目数据
+        """
+        # 分析题目完整性
+        perplexity_result = self.analyze_question_perplexity(question)
+        
+        # 保留原有字段并添加新字段
+        processed_question = question.copy()
+        processed_question["perplexity"] = {
+            "has_perplexity": perplexity_result["has_perplexity"],
+            "perplexity_type": perplexity_result["perplexity_type"],
+            "perplexity_level": perplexity_result["perplexity_level"],
+            "perplexity_reason": perplexity_result["perplexity_reason"],
+            "missing_info": perplexity_result["missing_info"]
+        }
+        
+        return processed_question
+    
+    def process_questions(self, questions: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+        """
+        使用多线程批量处理题目列表
+        
+        Args:
+            questions: 题目列表
+            
+        Returns:
+            List: 处理后的题目列表
+        """
+        self.total_count = len(questions)
+        self.processed_count = 0
+        processed_questions = []
+        
+        logger.info(f"开始使用 {self.max_workers} 个线程分析 {len(questions)} 道题目的完整性...")
+        
+        # 创建进度条
+        with tqdm(
+            total=len(questions),
+            desc="分析题目完整性",
+            ncols=100,
+            unit="题",
+            bar_format="{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}] {postfix}"
+        ) as pbar:
+            self.progress_bar = pbar
+            
+            # 使用线程池执行器
+            with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
+                # 提交所有任务
+                future_to_question = {
+                    executor.submit(self.process_single_question, question): question 
+                    for question in questions
+                }
+                
+                # 收集结果，保持原有顺序
+                question_results = {}
+                
+                # 处理完成的任务
+                for future in as_completed(future_to_question):
+                    original_question = future_to_question[future]
+                    question_idx = original_question.get("idx", "N/A")
+                    
+                    try:
+                        result = future.result()
+                        question_results[question_idx] = result
+                    except Exception as exc:
+                        logger.error(f"题目 {question_idx} 处理异常: {exc}")
+                        # 创建错误结果
+                        error_result = original_question.copy()
+                        error_result["perplexity"] = {
+                            "has_perplexity": True,
+                            "perplexity_type": "processing_error",
+                            "perplexity_level": "unknown",
+                            "perplexity_reason": f"处理异常: {str(exc)}",
+                            "missing_info": ""
+                        }
+                        question_results[question_idx] = error_result
+                        
+                        # 手动更新进度条（如果异常没有被正常处理）
+                        with self.lock:
+                            if self.processed_count < self.total_count:
+                                remaining = self.total_count - pbar.n
+                                if remaining > 0:
+                                    pbar.update(remaining)
+            
+            # 确保进度条完成
+            if pbar.n < pbar.total:
+                pbar.update(pbar.total - pbar.n)
+        
+        # 重置进度条引用
+        self.progress_bar = None
+        
+        # 按原始顺序重新排列结果
+        for question in questions:
+            question_idx = question.get("idx", "N/A")
+            if question_idx in question_results:
+                processed_questions.append(question_results[question_idx])
+            else:
+                # 如果没有找到结果，创建默认错误结果
+                error_result = question.copy()
+                error_result["perplexity"] = {
+                    "has_perplexity": True,
+                    "perplexity_type": "missing_result",
+                    "perplexity_level": "unknown",
+                    "perplexity_reason": "未找到处理结果",
+                    "missing_info": ""
+                }
+                processed_questions.append(error_result)
+        
+        logger.info(f"多线程处理完成！总共处理了 {len(processed_questions)} 道题目")
+        return processed_questions
+    
+    def save_results(self, processed_questions: List[Dict[str, Any]], 
+                    output_file: str):
+        """
+        保存处理结果到JSON文件
+        
+        Args:
+            processed_questions: 处理后的题目列表
+            output_file: 输出文件路径
+        """
+        try:
+            # 保存文件的进度条
+            with tqdm(desc="保存文件", unit="题", total=len(processed_questions)) as pbar:
+                with open(output_file, 'w', encoding='utf-8') as f:
+                    json.dump(processed_questions, f, ensure_ascii=False, indent=2)
+                pbar.update(len(processed_questions))
+            
+            logger.info(f"结果已保存到: {output_file}")
+            
+            # 输出统计信息
+            total_questions = len(processed_questions)
+            perplexity_count = sum(1 for q in processed_questions 
+                                 if q.get("perplexity", {}).get("has_perplexity", False))
+            
+            logger.info(f"完整性分析统计:")
+            logger.info(f"总题目数: {total_questions}")
+            logger.info(f"存在困惑问题的题目数: {perplexity_count}")
+            logger.info(f"困惑率: {perplexity_count/total_questions*100:.1f}%")
+            
+            # 按困惑类型统计
+            type_stats = {}
+            level_stats = {"mild": 0, "moderate": 0, "severe": 0, "unknown": 0, "none": 0}
+            
+            for q in processed_questions:
+                perplexity_info = q.get("perplexity", {})
+                if perplexity_info.get("has_perplexity", False):
+                    p_type = perplexity_info.get("perplexity_type", "unknown")
+                    p_level = perplexity_info.get("perplexity_level", "unknown")
+                    
+                    type_stats[p_type] = type_stats.get(p_type, 0) + 1
+                    level_stats[p_level] = level_stats.get(p_level, 0) + 1
+            
+            logger.info("困惑类型统计:")
+            for p_type, count in type_stats.items():
+                logger.info(f"  {p_type}: {count}")
+            
+            logger.info("困惑程度统计:")
+            for level, count in level_stats.items():
+                if count > 0:
+                    logger.info(f"  {level}: {count}")
+            
+            # 输出一些困惑题目示例
+            logger.info("\n困惑题目示例:")
+            example_count = 0
+            for q in processed_questions:
+                perplexity_info = q.get("perplexity", {})
+                if perplexity_info.get("has_perplexity", False) and example_count < 3:
+                    logger.info(f"  题目: {q.get('choice_question', '')[:80]}...")
+                    logger.info(f"  困惑类型: {perplexity_info.get('perplexity_type', '')}")
+                    logger.info(f"  困惑程度: {perplexity_info.get('perplexity_level', '')}")
+                    logger.info(f"  困惑原因: {perplexity_info.get('perplexity_reason', '')}")
+                    logger.info(f"  缺少信息: {perplexity_info.get('missing_info', '')}")
+                    logger.info("  " + "-"*50)
+                    example_count += 1
+                
+        except Exception as e:
+            logger.error(f"保存文件失败: {e}")
+
+def load_questions(input_file: str) -> List[Dict[str, Any]]:
+    """
+    从JSON文件加载题目数据
+    
+    Args:
+        input_file: 输入文件路径
+        
+    Returns:
+        List: 题目列表
+    """
+    try:
+        with tqdm(desc="加载文件", unit="B", unit_scale=True) as pbar:
+            with open(input_file, 'r', encoding='utf-8') as f:
+                questions = json.load(f)
+                pbar.update(1)
+        
+        logger.info(f"成功加载 {len(questions)} 道题目")
+        return questions
+    except Exception as e:
+        logger.error(f"加载文件失败: {e}")
+        return []
+
+def main():
+    """
+    主函数 - 配置API信息并执行分析
+    """
+    # ========== 配置区域 ==========
+    # 请在这里填入您的API配置信息
+    API_KEY = "sk-oYh3Xrhg8oDY2gW02c966f31C84449Ad86F9Cd9dF6E64a8d"  # 填入您的OpenAI API Key
+    BASE_URL = "https://vip.apiyi.com/v1"  # 填入API基础URL
+    MODEL_NAME = "deepseek-chat"  # 填入模型名称
+    
+    # 文件路径配置
+    INPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step5_converted_questions.json"  # 输入文件路径
+    OUTPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step6_perplexity_analyzed_questions.json"  # 输出文件路径
+    
+    # 多线程配置
+    MAX_WORKERS = 20  # 线程数，根据API限制和系统性能调整
+    # ============================
+    
+    # 检查必要的配置
+    if not all([API_KEY, BASE_URL, MODEL_NAME]):
+        logger.error("请在main函数中配置API_KEY, BASE_URL和MODEL_NAME!")
+        return
+    
+    try:
+        print("🔍 开始题目完整性分析...")
+        
+        # 加载题目数据
+        questions = load_questions(INPUT_FILE)
+        if not questions:
+            logger.error("没有加载到有效的题目数据")
+            return
+        
+        # target_questions = target_questions[:200]  # 调试用
+        target_questions = questions  # 使用全部题目
+        
+        logger.info(f"筛选出需要分析的题目: {len(target_questions)} 道")
+        
+        # 初始化分析器
+        analyzer = QuestionPerplexityAnalyzer(
+            api_key=API_KEY,
+            base_url=BASE_URL, 
+            model_name=MODEL_NAME,
+            max_workers=MAX_WORKERS
+        )
+        
+        # 记录开始时间
+        start_time = time.time()
+        
+        # 处理题目
+        processed_questions = analyzer.process_questions(target_questions)
+        
+        # 记录结束时间并计算用时
+        end_time = time.time()
+        total_time = end_time - start_time
+        
+        logger.info(f"处理耗时: {total_time:.2f} 秒 ({total_time/60:.2f} 分钟)")
+        logger.info(f"平均每题处理时间: {total_time/len(target_questions):.2f} 秒")
+        
+        # 保存结果
+        analyzer.save_results(processed_questions, OUTPUT_FILE)
+        
+        print("✅ 题目完整性分析完成!")
+        
+    except Exception as e:
+        logger.error(f"程序执行失败: {e}")
+
+if __name__ == "__main__":
+    main()

layer2/PGEE/code/step7_filter_perplexity_convert.py

@@ -0,0 +1,276 @@
+import json
+import logging
+from typing import Dict, Any, List
+from tqdm import tqdm
+
+# 设置日志
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+class QuestionFilter:
+    def __init__(self):
+        """
+        初始化题目过滤器
+        """
+        self.stats = {
+            'total_questions': 0,
+            'no_perp_convertible': 0,
+            'no_perp_no_convertible': 0,
+            'has_perp_convertible': 0,
+            'has_perp_no_convertible': 0,
+            'missing_fields': 0
+        }
+    
+    def filter_questions(self, questions: List[Dict[str, Any]]) -> Dict[str, List[Dict[str, Any]]]:
+        """
+        根据条件过滤题目
+        
+        Args:
+            questions: 题目列表
+            
+        Returns:
+            Dict: 包含不同类别题目的字典
+        """
+        # 初始化结果字典
+        filtered_questions = {
+            'no_perp_convertible': [],      # has_perplexity=False 且 convertible=True
+            'no_perp_no_convertible': [],   # has_perplexity=False 且 convertible=False
+            'has_perp_convertible': [],     # has_perplexity=True 且 convertible=True
+            'has_perp_no_convertible': [],  # has_perplexity=True 且 convertible=False
+            'missing_fields': []            # 缺少必要字段的题目
+        }
+        
+        self.stats['total_questions'] = len(questions)
+        
+        logger.info(f"开始过滤 {len(questions)} 道题目...")
+        
+        # 使用进度条处理题目
+        with tqdm(
+            total=len(questions),
+            desc="过滤题目",
+            ncols=100,
+            unit="题",
+            bar_format="{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}] {postfix}"
+        ) as pbar:
+            
+            for question in questions:
+                try:
+                    # 获取必要的字段
+                    convertible = question.get("convertible")
+                    perplexity_info = question.get("perplexity", {})
+                    has_perplexity = perplexity_info.get("has_perplexity")
+                    
+                    # 检查必要字段是否存在
+                    if convertible is None or has_perplexity is None:
+                        filtered_questions['missing_fields'].append(question)
+                        self.stats['missing_fields'] += 1
+                        pbar.set_postfix(status="缺少字段")
+                    else:
+                        # 根据条件分类
+                        if not has_perplexity and convertible:
+                            # has_perplexity=False 且 convertible=True
+                            filtered_questions['no_perp_convertible'].append(question)
+                            self.stats['no_perp_convertible'] += 1
+                            pbar.set_postfix(status="无困惑+可转换")
+                            
+                        elif not has_perplexity and not convertible:
+                            # has_perplexity=False 且 convertible=False
+                            filtered_questions['no_perp_no_convertible'].append(question)
+                            self.stats['no_perp_no_convertible'] += 1
+                            pbar.set_postfix(status="无困惑+不可转换")
+                            
+                        elif has_perplexity and convertible:
+                            # has_perplexity=True 且 convertible=True
+                            filtered_questions['has_perp_convertible'].append(question)
+                            self.stats['has_perp_convertible'] += 1
+                            pbar.set_postfix(status="有困惑+可转换")
+                            
+                        elif has_perplexity and not convertible:
+                            # has_perplexity=True 且 convertible=False
+                            filtered_questions['has_perp_no_convertible'].append(question)
+                            self.stats['has_perp_no_convertible'] += 1
+                            pbar.set_postfix(status="有困惑+不可转换")
+                    
+                    # 更新进度条
+                    pbar.update(1)
+                    
+                except Exception as e:
+                    logger.error(f"处理题目时出错: {e}")
+                    filtered_questions['missing_fields'].append(question)
+                    self.stats['missing_fields'] += 1
+                    pbar.update(1)
+        
+        logger.info("题目过滤完成!")
+        return filtered_questions
+    
+    def save_filtered_questions(self, filtered_questions: Dict[str, List[Dict[str, Any]]], 
+                               output_dir: str = "."):
+        """
+        保存过滤后的题目到不同的JSON文件
+        
+        Args:
+            filtered_questions: 过滤后的题目字典
+            output_dir: 输出目录
+        """
+        # 定义输出文件映射
+        file_mappings = {
+            'no_perp_convertible': f"{output_dir}/no_perp_convertible.json",
+            'no_perp_no_convertible': f"{output_dir}/no_perp_no_convertible.json",
+            'has_perp_convertible': f"{output_dir}/has_perp_convertible.json",
+            'has_perp_no_convertible': f"{output_dir}/has_perp_no_convertible.json",
+            'missing_fields': f"{output_dir}/missing_fields.json"
+        }
+        
+        logger.info("开始保存过滤后的题目...")
+        
+        # 保存每个类别的题目
+        for category, questions in filtered_questions.items():
+            if questions:  # 只保存非空的类别
+                output_file = file_mappings[category]
+                try:
+                    with tqdm(desc=f"保存 {category}", unit="题", total=len(questions)) as pbar:
+                        with open(output_file, 'w', encoding='utf-8') as f:
+                            json.dump(questions, f, ensure_ascii=False, indent=2)
+                        pbar.update(len(questions))
+                    
+                    logger.info(f"已保存 {len(questions)} 道题目到: {output_file}")
+                    
+                except Exception as e:
+                    logger.error(f"保存文件 {output_file} 失败: {e}")
+            else:
+                logger.info(f"类别 {category} 没有题目，跳过保存")
+    
+    def print_statistics(self):
+        """
+        打印统计信息
+        """
+        total = self.stats['total_questions']
+        
+        logger.info("="*60)
+        logger.info("题目过滤统计结果:")
+        logger.info("="*60)
+        logger.info(f"总题目数量: {total}")
+        logger.info("")
+        
+        logger.info("各类别题目数量:")
+        logger.info(f"  ✅ 无困惑 + 可转换:     {self.stats['no_perp_convertible']:>6} ({self.stats['no_perp_convertible']/total*100:.1f}%)")
+        logger.info(f"  ❌ 无困惑 + 不可转换:   {self.stats['no_perp_no_convertible']:>6} ({self.stats['no_perp_no_convertible']/total*100:.1f}%)")
+        logger.info(f"  ⚠️  有困惑 + 可转换:     {self.stats['has_perp_convertible']:>6} ({self.stats['has_perp_convertible']/total*100:.1f}%)")
+        logger.info(f"  🚫 有困惑 + 不可转换:   {self.stats['has_perp_no_convertible']:>6} ({self.stats['has_perp_no_convertible']/total*100:.1f}%)")
+        logger.info(f"  ❓ 缺少必要字段:       {self.stats['missing_fields']:>6} ({self.stats['missing_fields']/total*100:.1f}%)")
+        logger.info("")
+        
+        # 验证总数
+        calculated_total = (self.stats['no_perp_convertible'] + 
+                          self.stats['no_perp_no_convertible'] + 
+                          self.stats['has_perp_convertible'] + 
+                          self.stats['has_perp_no_convertible'] + 
+                          self.stats['missing_fields'])
+        
+        logger.info(f"验证: 分类总数 = {calculated_total} (应该等于 {total})")
+        logger.info("="*60)
+        
+        # 重点关注的类别
+        logger.info("📋 重点输出文件:")
+        logger.info(f"  • no_perp_convertible.json:    {self.stats['no_perp_convertible']} 道题目 (理想的选择题)")
+        logger.info(f"  • no_perp_no_convertible.json: {self.stats['no_perp_no_convertible']} 道题目 (无法转换的题目)")
+    
+    def analyze_sample_questions(self, filtered_questions: Dict[str, List[Dict[str, Any]]], 
+                               sample_size: int = 3):
+        """
+        分析并展示样本题目
+        
+        Args:
+            filtered_questions: 过滤后的题目字典
+            sample_size: 每个类别展示的样本数量
+        """
+        logger.info("\n📖 样本题目展示:")
+        logger.info("="*60)
+        
+        for category, questions in filtered_questions.items():
+            if questions and category in ['no_perp_convertible', 'no_perp_no_convertible']:
+                logger.info(f"\n【{category}】类别样本:")
+                
+                sample_count = min(sample_size, len(questions))
+                for i, question in enumerate(questions[:sample_count]):
+                    logger.info(f"  样本 {i+1}:")
+                    logger.info(f"    题目ID: {question.get('idx', 'N/A')}")
+                    logger.info(f"    原题目: {question.get('question', '')[:60]}...")
+                    
+                    if question.get('choice_question'):
+                        logger.info(f"    转换后: {question.get('choice_question', '')[:60]}...")
+                        logger.info(f"    正确选项: {question.get('correct_option', '')[:40]}...")
+                    
+                    logger.info(f"    可转换: {question.get('convertible', False)}")
+                    
+                    perplexity_info = question.get('perplexity', {})
+                    logger.info(f"    有困惑: {perplexity_info.get('has_perplexity', False)}")
+                    
+                    if perplexity_info.get('has_perplexity', False):
+                        logger.info(f"    困惑原因: {perplexity_info.get('perplexity_reason', '')[:50]}...")
+                    
+                    logger.info("    " + "-"*40)
+
+def load_questions(input_file: str) -> List[Dict[str, Any]]:
+    """
+    从JSON文件加载题目数据
+    
+    Args:
+        input_file: 输入文件路径
+        
+    Returns:
+        List: 题目列表
+    """
+    try:
+        with tqdm(desc="加载文件", unit="B", unit_scale=True) as pbar:
+            with open(input_file, 'r', encoding='utf-8') as f:
+                questions = json.load(f)
+                pbar.update(1)
+        
+        logger.info(f"成功加载 {len(questions)} 道题目")
+        return questions
+    except Exception as e:
+        logger.error(f"加载文件失败: {e}")
+        return []
+
+def main():
+    """
+    主函数 - 执行题目过滤
+    """
+    # ========== 配置区域 ==========
+    # 文件路径配置
+    INPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step6_perplexity_analyzed_questions.json"  # 输入文件路径
+    OUTPUT_DIR = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code"  # 输出目录
+    # ============================
+    
+    try:
+        print("🔄 开始题目过滤...")
+        
+        # 加载题目数据
+        questions = load_questions(INPUT_FILE)
+        if not questions:
+            logger.error("没有加载到有效的题目数据")
+            return
+        
+        # 初始化过滤器
+        filter_obj = QuestionFilter()
+        
+        # 过滤题目
+        filtered_questions = filter_obj.filter_questions(questions)
+        
+        # 保存过滤后的题目
+        filter_obj.save_filtered_questions(filtered_questions, OUTPUT_DIR)
+        
+        # 打印统计信息
+        filter_obj.print_statistics()
+        
+        # 分析样本题目
+        filter_obj.analyze_sample_questions(filtered_questions)
+        
+        print("✅ 题目过滤完成!")
+        
+    except Exception as e:
+        logger.error(f"程序执行失败: {e}")
+
+if __name__ == "__main__":
+    main()

layer2/PGEE/code/stepx_high_quality.py

@@ -10,16 +10,16 @@ class QuestionFilterAndSelector:
     def __init__(self):
         # 各题型的最低难度阈值（排除过于简单的题目）
         self.min_difficulty_thresholds = {
-            "calculation": 2,      # 计算题：排除难度1的基础计算
-            "short_answer": 2,     # 简答题：排除难度1的简单记忆
-            "true_false": 2,       # 判断题：排除难度1的基础概念判断
-            "multiple_choice": 2   # 选择题：排除难度1的简单选择
+            "calculation": 1,      # 计算题：排除难度1的基础计算
+            "short_answer": 1,     # 简答题：排除难度1的简单记忆
+            "true_false": 1,       # 判断题：排除难度1的基础概念判断
+            "multiple_choice": 1   # 选择题：排除难度1的简单选择
         }
         
         # 各知识层次的最低难度要求
         self.knowledge_level_min_difficulty = {
-            "basic_concepts": 2,      # 基础概念至少难度2（需要理解，不只是记忆）
-            "simple_application": 2,   # 简单应用至少难度2
+            "basic_concepts": 1,      # 基础概念至少难度2（需要理解，不只是记忆）
+            "simple_application": 1,   # 简单应用至少难度2
             "medium_application": 2,   # 中等应用至少难度2
             "complex_analysis": 3,     # 复杂分析至少难度3
             "advanced_synthesis": 4    # 高级综合至少难度4
@@ -41,14 +41,29 @@ class QuestionFilterAndSelector:
                 "advanced_synthesis": 0.05   # 5% 高级综合
             },
             "difficulty_levels": {
-                1: 0.05,  # 5% 难度1（仅保留最有价值的）
-                2: 0.25,  # 25% 难度2
+                1: 0.15,  # 5% 难度1（仅保留最有价值的）
+                2: 0.15,  # 25% 难度2
                 3: 0.35,  # 35% 难度3
                 4: 0.25,  # 25% 难度4
                 5: 0.10   # 10% 难度5
             }
         }
     
+    def clean_text_for_excel(self, text: str) -> str:
+        """清理文本，移除Excel不支持的字符"""
+        if not isinstance(text, str):
+            return str(text)
+        
+        # 移除或替换Excel不支持的控制字符
+        # 保留常见的可打印字符
+        cleaned = ''.join(char if ord(char) >= 32 or char in '\t\n\r' else ' ' for char in text)
+        
+        # 限制长度，避免Excel单元格过长
+        if len(cleaned) > 32767:  # Excel单元格字符限制
+            cleaned = cleaned[:32760] + "..."
+        
+        return cleaned
+
     def filter_questions_by_quality(self, questions: List[Dict]) -> List[Dict]:
         """第一步：按质量标准过滤题目"""
         filtered_questions = []
@@ -72,9 +87,9 @@ class QuestionFilterAndSelector:
             if difficulty < min_level_difficulty:
                 continue
             
-            # 特殊过滤规则
-            if self._should_exclude_question(q):
-                continue
+            # # 特殊过滤规则
+            # if self._should_exclude_question(q):
+            #     continue
             
             filtered_questions.append(q)
         
@@ -92,8 +107,8 @@ class QuestionFilterAndSelector:
         if len(q['question'].strip()) < 20:  # 题目太短
             return False
         
-        if len(q['answer'].strip()) < 5:  # 答案太短
-            return False
+        # if len(q['answer'].strip()) < 5:  # 答案太短
+        #     return False
         
         return True
     
@@ -432,9 +447,9 @@ def main_filter_questions():
     """主函数：筛选高质量题目"""
     
     # 文件路径
-    INPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step4_enhanced_classified_questions.json"  # 分类后的题目文件
-    OUTPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step4_filtered_high_quality_questions.json"  # 筛选后的输出文件
-    ANALYSIS_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step4_selection_analysis.xlsx"  # 分析报告
+    INPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step7_no_perp_convertible.json"  # 分类后的题目文件
+    OUTPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepx_filtered_high_quality_questions.json"  # 筛选后的输出文件
+    ANALYSIS_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepx_selection_analysis.xlsx"  # 分析报告
     
     # 加载数据
     print("正在加载已分类的题目...")
@@ -453,7 +468,7 @@ def main_filter_questions():
     
     # 第二步：智能抽样
     print("\n第二步：智能抽样构建评测集...")
-    target_count = 2000  # 目标题目数
+    target_count = 2900  # 目标题目数
     selected_questions = selector.smart_sample_questions(filtered_questions, target_count)
     print(f"最终选择: {len(selected_questions)} 道题目")
     
@@ -469,14 +484,25 @@ def main_filter_questions():
     
     # 导出详细分析
     try:
-        df_original = pd.DataFrame(all_questions)
-        df_selected = pd.DataFrame(selected_questions)
+        # 清理数据中的特殊字符
+        cleaned_selected = []
+        for q in selected_questions:
+            cleaned_q = {}
+            for key, value in q.items():
+                cleaned_q[key] = selector.clean_text_for_excel(value)
+            cleaned_selected.append(cleaned_q)
+        
+        df_selected = pd.DataFrame(cleaned_selected)
         
         with pd.ExcelWriter(ANALYSIS_FILE, engine='openpyxl') as writer:
-            df_selected.to_excel(writer, sheet_name='筛选结果', index=False)
+            # df_selected.to_excel(writer, sheet_name='筛选结果', index=False)
+            # 只保存关键字段到Excel，避免长文本问题
+            summary_df = df_selected[['question_type', 'knowledge_level', 'difficulty', 'final_level']].copy()
+            summary_df.to_excel(writer, sheet_name='筛选结果概要', index=False)
             
             # 统计对比
             comparison_data = []
+            df_original = pd.DataFrame(all_questions)
             for metric in ['question_type', 'knowledge_level', 'difficulty']:
                 orig_dist = df_original[metric].value_counts(normalize=True) * 100
                 sel_dist = df_selected[metric].value_counts(normalize=True) * 100

layer2/PGEE/code/stepy_gen_option.py

@@ -0,0 +1,976 @@
+import json
+import openai
+from typing import Dict, Any, List, Tuple, Optional
+import time
+import logging
+from concurrent.futures import ThreadPoolExecutor, as_completed
+import threading
+from tqdm import tqdm
+import random
+import re
+
+# 配置日志
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+class ChoiceOptionsGenerator:
+    def __init__(self, api_key: str, base_url: str, model_name: str, max_workers: int = 20):
+        self.api_key = api_key
+        self.base_url = base_url
+        self.model_name = model_name
+        self.max_workers = max_workers
+        self.thread_local = threading.local()
+        self.lock = threading.Lock()
+        self.max_retries = 5
+        self.max_sampling_attempts = 6
+        
+    def get_client(self):
+        if not hasattr(self.thread_local, 'client'):
+            self.thread_local.client = openai.OpenAI(
+                api_key=self.api_key,
+                base_url=self.base_url
+            )
+        return self.thread_local.client
+
+    def generate_options_with_sampling(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """使用多次采样策略生成选项"""
+        attempts_results = []
+        
+        for attempt in range(self.max_sampling_attempts):
+            try:
+                # 生成一个候选选项
+                candidate = self._attempt_generate_options(question_data)
+                
+                if not self._validate_options_quality(candidate, question_data):
+                    with self.lock:
+                        logging.warning(f"第{attempt+1}次采样 - 选项质量验证失败")
+                    continue
+                
+                # 测试模型是否能正确回答这个问题
+                is_model_correct = self._test_model_performance(candidate, question_data)
+                
+                candidate["performance_test"] = {
+                    "model_answered_correctly": is_model_correct,
+                    "sampling_attempt": attempt + 1,
+                }
+                
+                attempts_results.append(candidate)
+                
+                with self.lock:
+                    logging.info(f"第{attempt+1}次采样 - 模型{'答对' if is_model_correct else '答错'}了")
+                
+                # 如果模型答错了，这是一个好的困难题目，早停
+                if not is_model_correct:
+                    return self._finalize_result(candidate, attempts_results, "early_stop_incorrect")
+                    
+            except Exception as e:
+                with self.lock:
+                    logging.warning(f"第{attempt+1}次采样失败: {e}")
+                continue
+        
+        # 所有采样都完成了，选择一个结果
+        if attempts_results:
+            # 检查是否所有采样都答对了
+            all_correct = all(r.get("performance_test", {}).get("model_answered_correctly", True) 
+                            for r in attempts_results)
+            
+            if all_correct:
+                selected = random.choice(attempts_results)
+                return self._finalize_result(selected, attempts_results, "all_samples_correct")
+            else:
+                # 优先选择答错的
+                incorrect_results = [r for r in attempts_results 
+                                   if not r.get("performance_test", {}).get("model_answered_correctly", True)]
+                if incorrect_results:
+                    selected = random.choice(incorrect_results)
+                    return self._finalize_result(selected, attempts_results, "mixed_results")
+                else:
+                    selected = random.choice(attempts_results)
+                    return self._finalize_result(selected, attempts_results, "mixed_results")
+        
+        # 所有采样都失败
+        logging.error("所有采样都失败，使用备用选项")
+        return self._create_fallback_options(question_data)
+
+    def _finalize_result(self, selected_result: Dict[str, Any], all_results: List[Dict], result_type: str) -> Dict[str, Any]:
+        """完善最终结果的标记信息"""
+        # 统计所有采样的结果
+        total_attempts = len(all_results)
+        correct_count = sum(1 for r in all_results 
+                          if r.get("performance_test", {}).get("model_answered_correctly", True))
+        incorrect_count = total_attempts - correct_count
+        
+        # 添加汇总信息
+        selected_result["sampling_summary"] = {
+            "result_type": result_type,  # early_stop_incorrect, all_samples_correct, mixed_results
+            "total_sampling_attempts": total_attempts,
+            "correct_answers": correct_count,
+            "incorrect_answers": incorrect_count,
+            "is_early_stop": result_type == "early_stop_incorrect",
+            "is_all_correct": result_type == "all_samples_correct",
+            "selected_attempt": selected_result.get("performance_test", {}).get("sampling_attempt", 1),
+            "selected_was_correct": selected_result.get("performance_test", {}).get("model_answered_correctly", True)
+        }
+        
+        # 简化的难度标记
+        if result_type == "early_stop_incorrect":
+            difficulty_label = "hard_early_stop"
+        elif result_type == "all_samples_correct":
+            difficulty_label = "easy_all_correct" 
+        else:
+            difficulty_label = "mixed"
+            
+        selected_result["sampling_summary"]["difficulty_label"] = difficulty_label
+        
+        with self.lock:
+            logging.info(f"题目标记: {difficulty_label} (正确{correct_count}/{total_attempts}次)")
+        
+        return selected_result
+
+    def _test_model_performance(self, generated_question: Dict[str, Any], original_data: Dict[str, Any]) -> bool:
+        """测试模型是否能正确回答生成的问题"""
+        try:
+            question_type = generated_question.get("question_type", "")
+            
+            if question_type == "true_false":
+                return self._test_true_false_question(generated_question)
+            elif question_type == "multiple_choice":
+                return self._test_multiple_choice_question(generated_question, original_data)
+            else:
+                logging.warning(f"未知题目类型: {question_type}")
+                return True  # 默认认为模型答对了
+                
+        except Exception as e:
+            logging.error(f"测试模型性能时出错: {e}")
+            return True  # 出错时默认认为模型答对了
+
+    def _test_true_false_question(self, question_data: Dict[str, Any]) -> bool:
+        """测试判断题"""
+        statement = question_data.get("statement", "")
+        correct_answer = question_data.get("correct_answer", "")
+        
+        if not statement or not correct_answer:
+            logging.warning("判断题数据不完整")
+            return True
+        
+        test_prompt = f"""
+请判断以下陈述的正误。请仔细分析每个细节，考虑所有可能的条件和例外情况。
+
+陈述：{statement}
+
+请只输出 "True" 或 "False"，不要解释：
+"""
+        
+        try:
+            client = self.get_client()
+            response = client.chat.completions.create(
+                model=self.model_name,
+                messages=[
+                    {"role": "system", "content": "你是一个材料科学专家。请仔细分析陈述，考虑所有技术细节和特殊情况，只输出True或False。"},
+                    {"role": "user", "content": test_prompt}
+                ],
+                temperature=0.1,
+                max_tokens=10
+            )
+            
+            model_answer = response.choices[0].message.content.strip()
+            if "True" in model_answer:
+                model_answer = "True"
+            elif "False" in model_answer:
+                model_answer = "False"
+            else:
+                logging.warning(f"模型回答格式异常: {model_answer}")
+                return True  # 格式异常默认认为答对
+            
+            is_correct = model_answer == correct_answer
+            logging.debug(f"判断题测试 - 正确答案: {correct_answer}, 模型答案: {model_answer}, 结果: {'正确' if is_correct else '错误'}")
+            
+            return is_correct
+            
+        except Exception as e:
+            logging.error(f"测试判断题时出错: {e}")
+            return True
+
+    def _test_multiple_choice_question(self, question_data: Dict[str, Any], original_data: Dict[str, Any]) -> bool:
+        """测试选择题"""
+        options = question_data.get("options", {})
+        correct_answer = question_data.get("correct_answer", "")
+        original_question = original_data.get("choice_question", "")
+        
+        if not options or not correct_answer or not original_question:
+            logging.warning("选择题数据不完整")
+            return True
+        
+        # 构造完整的选择题
+        options_text = ""
+        for key in sorted(options.keys()):
+            options_text += f"{key}. {options[key]}\n"
+        
+        test_prompt = f"""
+以下是一道材料科学专业题目，请仔细分析每个选项，考虑所有技术细节和约束条件。
+
+题目：{original_question}
+
+选项：
+{options_text}
+
+请选择最准确的答案，只输出选项字母（A、B、C或D）：
+"""
+        
+        try:
+            client = self.get_client()
+            response = client.chat.completions.create(
+                model=self.model_name,
+                messages=[
+                    {"role": "system", "content": "你是一个材料科学专家。请深入分析题目，仔细比较各选项的技术准确性，只输出选项字母。"},
+                    {"role": "user", "content": test_prompt}
+                ],
+                temperature=0.1,
+                max_tokens=10
+            )
+            
+            model_answer = response.choices[0].message.content.strip().upper()
+            model_choice = ""
+            for char in model_answer:
+                if char in ["A", "B", "C", "D"]:
+                    model_choice = char
+                    break
+            
+            if not model_choice:
+                logging.warning(f"模型回答格式异常: {model_answer}")
+                return True  # 格式异常默认认为答对
+            
+            is_correct = model_choice == correct_answer.upper()
+            logging.debug(f"选择题测试 - 正确答案: {correct_answer}, 模型答案: {model_choice}, 结果: {'正确' if is_correct else '错误'}")
+            
+            return is_correct
+            
+        except Exception as e:
+            logging.error(f"测试选择题时出错: {e}")
+            return True
+
+    def _create_fallback_options(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """当AI生成失败时的备用选项生成"""
+        question_type = question_data.get("question_type", "")
+        correct_option = question_data.get("correct_option", "")
+        
+        if question_type == "true_false":
+            return {
+                "question_type": "true_false",
+                "statement": question_data.get("choice_question", ""),
+                "options": ["True", "False"],
+                "correct_answer": self._determine_true_false_answer(correct_option),
+                "explanation": "基于题目分析的判断结果",
+                "sampling_summary": {
+                    "result_type": "fallback",
+                    "difficulty_label": "unknown_fallback",
+                    "total_sampling_attempts": 0,
+                    "is_early_stop": False,
+                    "is_all_correct": False
+                }
+            }
+        else:
+            distractors = ["选项B", "选项C", "选项D"]  
+            all_options = [correct_option] + distractors
+            random.shuffle(all_options)
+            
+            correct_index = all_options.index(correct_option)
+            correct_label = ["A", "B", "C", "D"][correct_index]
+            
+            return {
+                "question_type": "multiple_choice",
+                "options": {
+                    "A": all_options[0],
+                    "B": all_options[1],
+                    "C": all_options[2],
+                    "D": all_options[3]
+                },
+                "correct_answer": correct_label,
+                "explanation": "基于规则生成的备用选项",
+                "sampling_summary": {
+                    "result_type": "fallback",
+                    "difficulty_label": "unknown_fallback",
+                    "total_sampling_attempts": 0,
+                    "is_early_stop": False,
+                    "is_all_correct": False
+                }
+            }
+
+    def _determine_true_false_answer(self, correct_option: str) -> str:
+        """确定判断题的正确答案"""
+        true_indicators = ["true", "正确", "是", "对", "T", "√", "yes"]
+        false_indicators = ["false", "错误", "否", "错", "F", "×", "no"]
+        
+        correct_lower = correct_option.lower().strip()
+        
+        if any(indicator in correct_lower for indicator in true_indicators):
+            return "True"
+        elif any(indicator in correct_lower for indicator in false_indicators):
+            return "False"
+        else:
+            return "True"
+
+    # 提示词方法保持不变
+    def _create_enhanced_multiple_choice_prompt(self, question: str, correct_option: str, original_question: str, question_type: str) -> str:
+        """增强的选择题提示词 - 专注于生成更具迷惑性的选项"""
+        return f"""
+你是材料科学领域的顶级专家，专门设计能够挑战AI系统的高难度考试题目。你的目标是创建连GPT-4、Claude等先进AI都可能答错的题目。
+
+题目: {question}
+正确答案: {correct_option}
+原始题目: {original_question}
+题目类型: {question_type}
+
+**核心策略：让AI模型产生错误的直觉判断**
+
+**超高难度干扰项设计原则：**
+
+1. **认知偏差利用型干扰项**：
+   - 利用常见的材料科学概念混淆（如弹性模量vs剪切模量）
+   - 设计基于"第一印象"正确但深入分析错误的选项
+   - 使用数值接近但单位或条件不同的陷阱
+
+2. **专业直觉陷阱型干扰项**：
+   - 基于材料科学中"看似显而易见"但实际错误的推理
+   - 利用不同材料体系间的类比误区
+   - 设计需要区分相似工艺或现象的细微差别
+
+3. **多层次验证陷阱**：
+   - 创建需要同时考虑多个材料参数的复杂选项
+   - 设计表面符合某个理论但忽略关键约束条件的选项
+   - 使用真实存在但在当前情境下不适用的材料数据
+
+输出格式（严格JSON，无注释）：
+{{
+    "question_type": "multiple_choice",
+    "options": {{
+        "A": "选项A内容",
+        "B": "选项B内容", 
+        "C": "选项C内容",
+        "D": "选项D内容"
+    }},
+    "correct_answer": "A",
+    "explanation": "详细解释为什么正确答案正确，以及每个干扰项的具体迷惑策略"
+}}
+
+现在，请基于以上原则设计一道能让先进AI模型都可能答错的高难度选择题。
+"""
+
+    def _create_enhanced_true_false_prompt(self, question: str, correct_option: str, original_question: str) -> str:
+        """增强的判断题提示词"""
+        return f"""
+你是材料科学专家，需要设计能够挑战AI判断能力的高难度判断题。
+
+题目: {question}
+正确答案: {correct_option}
+原始题目: {original_question}
+
+**设计高难度判断题的策略：**
+
+1. **微妙条件陷阱**：设计在特定条件下成立但一般情况下错误（或相反）的陈述
+2. **精确性陷阱**：使用"总是"、"从不"、"所有"等绝对词汇的微妙误用
+3. **概念边界模糊**：涉及材料科学中定义边界模糊的概念
+4. **数值精度陷阱**：涉及需要精确数值判断的陈述
+
+输出格式（严格JSON，无注释）：
+{{
+    "question_type": "true_false",
+    "statement": "需要判断的复杂陈述句",
+    "options": ["True", "False"],
+    "correct_answer": "True或False",
+    "explanation": "详细解释判断理由和可能的误解点"
+}}
+"""
+
+    def create_options_prompt(self, question_data: Dict[str, Any]) -> str:
+        """创建生成选项的提示词"""
+        choice_question = question_data.get("choice_question", "")
+        correct_option = question_data.get("correct_option", "")
+        original_question = question_data.get("question", "")
+        question_type = question_data.get("question_type", "")
+        
+        if question_type == "true_false":
+            return self._create_enhanced_true_false_prompt(choice_question, correct_option, original_question)
+        else:
+            return self._create_enhanced_multiple_choice_prompt(choice_question, correct_option, original_question, question_type)
+
+    def _attempt_generate_options(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """单次尝试生成选项"""
+        client = self.get_client()
+        prompt = self.create_options_prompt(question_data)
+        
+        response = client.chat.completions.create(
+            model=self.model_name,
+            messages=[
+                {
+                    "role": "system",
+                    "content": "你是一个材料科学专业的教育评估专家。请严格按照要求的JSON格式输出，不要添加任何额外的文本、注释或代码块标记。确保输出的JSON语法完全正确。"
+                },
+                {"role": "user", "content": prompt}
+            ],
+            temperature=0.9,
+            max_tokens=2000,
+            top_p=0.95
+        )
+        
+        result_text = response.choices[0].message.content.strip()
+        logging.debug(f"AI响应: {result_text}")
+        
+        json_result = self._extract_and_fix_json(result_text)
+        return json_result
+
+    def _extract_and_fix_json(self, response_text: str) -> Dict[str, Any]:
+        """从响应文本中提取并修复JSON"""
+        response_text = re.sub(r'```json\s*', '', response_text)
+        response_text = re.sub(r'```\s*$', '', response_text)
+        
+        json_start = response_text.find('{')
+        json_end = response_text.rfind('}') + 1
+        
+        if json_start == -1 or json_end <= json_start:
+            raise ValueError("无法在响应中找到JSON格式内容")
+        
+        json_str = response_text[json_start:json_end]
+        json_str = self._fix_json_syntax(json_str)
+        
+        try:
+            return json.loads(json_str)
+        except json.JSONDecodeError as e:
+            logging.error(f"JSON解析失败: {e}")
+            json_str = self._aggressive_json_fix(json_str)
+            return json.loads(json_str)
+
+    def _fix_json_syntax(self, json_str: str) -> str:
+        """修复常见的JSON语法错误"""
+        json_str = re.sub(r'//.*?(?=\n|$)', '', json_str)
+        json_str = re.sub(r'/\*.*?\*/', '', json_str, flags=re.DOTALL)
+        json_str = re.sub(r',\s*}', '}', json_str)
+        json_str = re.sub(r',\s*]', ']', json_str)
+        json_str = re.sub(r"'([^']*)':", r'"\1":', json_str)
+        json_str = re.sub(r":\s*'([^']*)'", r': "\1"', json_str)
+        
+        return json_str
+
+    def _aggressive_json_fix(self, json_str: str) -> str:
+        """更激进的JSON修复方法"""
+        try:
+            patterns = {
+                'question_type': r'"question_type"\s*:\s*"([^"]*)"',
+                'correct_answer': r'"correct_answer"\s*:\s*"([^"]*)"',
+                'explanation': r'"explanation"\s*:\s*"([^"]*)"'
+            }
+            
+            extracted = {}
+            for key, pattern in patterns.items():
+                match = re.search(pattern, json_str)
+                if match:
+                    extracted[key] = match.group(1)
+            
+            options_match = re.search(r'"options"\s*:\s*{([^}]*)}', json_str)
+            if options_match:
+                options_content = options_match.group(1)
+                options = {}
+                option_pattern = r'"([ABCD])"\s*:\s*"([^"]*)"'
+                for match in re.finditer(option_pattern, options_content):
+                    options[match.group(1)] = match.group(2)
+                extracted['options'] = options
+            
+            if 'question_type' in extracted and len(extracted) >= 3:
+                return json.dumps(extracted, ensure_ascii=False)
+            
+        except Exception as e:
+            logging.error(f"激进修复失败: {e}")
+        
+        raise ValueError("无法修复JSON格式")
+
+    def _validate_options_quality(self, result: Dict[str, Any], original_data: Dict[str, Any]) -> bool:
+        """验证生成选项的质量"""
+        if not result:
+            return False
+        
+        question_type = result.get("question_type", "")
+        
+        if question_type == "true_false":
+            return self._validate_true_false_quality(result)
+        elif question_type == "multiple_choice":
+            return self._validate_multiple_choice_quality(result, original_data)
+        
+        return False
+    
+    def _validate_true_false_quality(self, result: Dict[str, Any]) -> bool:
+        """验证判断题质量"""
+        required_fields = ["statement", "options", "correct_answer", "explanation"]
+        
+        if not all(field in result for field in required_fields):
+            return False
+        
+        options = result.get("options", [])
+        if not (len(options) == 2 and "True" in options and "False" in options):
+            return False
+        
+        correct_answer = result.get("correct_answer", "")
+        if correct_answer not in ["True", "False"]:
+            return False
+        
+        return True
+    
+    def _validate_multiple_choice_quality(self, result: Dict[str, Any], original_data: Dict[str, Any]) -> bool:
+        """验证选择题质量"""
+        if not all(key in result for key in ["options", "correct_answer", "explanation"]):
+            return False
+        
+        options = result.get("options", {})
+        
+        if len(options) != 4 or not all(label in options for label in ["A", "B", "C", "D"]):
+            return False
+        
+        correct_answer = result.get("correct_answer", "")
+        if correct_answer not in ["A", "B", "C", "D"]:
+            return False
+        
+        if any(len(str(option).strip()) < 2 for option in options.values()):
+            return False
+        
+        option_values = [str(option).strip().lower() for option in options.values()]
+        if len(set(option_values)) != 4:
+            return False
+        
+        return True
+
+    def generate_options(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """为单个题目生成选项，使用多次采样策略"""
+        result = self.generate_options_with_sampling(question_data)
+        
+        if result:
+            return result
+        
+        logging.warning("采样生成失败，回退到原始生成方法")
+        return self._generate_with_basic_retry(question_data)
+
+    def _generate_with_basic_retry(self, question_data: Dict[str, Any]) -> Dict[str, Any]:
+        """基础重试生成方法"""
+        for attempt in range(self.max_retries):
+            try:
+                result = self._attempt_generate_options(question_data)
+                
+                if self._validate_options_quality(result, question_data):
+                    # 为基础重试添加采样信息
+                    result["sampling_summary"] = {
+                        "result_type": "basic_retry",
+                        "difficulty_label": "unknown_retry",
+                        "total_sampling_attempts": 1,
+                        "is_early_stop": False,
+                        "is_all_correct": False
+                    }
+                    return result
+                else:
+                    if attempt < self.max_retries - 1:
+                        logging.warning(f"第{attempt+1}次生成的选项质量不佳，重试中...")
+                        time.sleep(1)
+                    continue
+                    
+            except Exception as e:
+                logging.error(f"第{attempt+1}次生成选项失败: {e}")
+                if attempt < self.max_retries - 1:
+                    time.sleep(2)
+                    continue
+        
+        logging.error("所有重试都失败，使用备用选项生成")
+        return self._create_fallback_options(question_data)
+
+
+def process_single_question(generator, question, question_index):
+    """处理单个题目的函数"""
+    try:
+        options_data = generator.generate_options(question)
+        
+        complete_question = question.copy()
+        complete_question["generated_options"] = options_data
+        complete_question["generation_status"] = "success"
+        complete_question["question_index"] = question_index
+        
+        # 提取采样信息用于日志
+        sampling_info = options_data.get("sampling_summary", {})
+        difficulty_label = sampling_info.get("difficulty_label", "unknown")
+        attempts = sampling_info.get("total_sampling_attempts", 1)
+        is_early_stop = sampling_info.get("is_early_stop", False)
+        is_all_correct = sampling_info.get("is_all_correct", False)
+        
+        status_emoji = {
+            "hard_early_stop": "🔥",
+            "easy_all_correct": "✅", 
+            "mixed": "⚡",
+            "unknown_fallback": "❓",
+            "unknown_retry": "🔄"
+        }
+        
+        logging.info(f"第{question_index+1}题完成 - {difficulty_label} - 采样{attempts}次 - {'早停' if is_early_stop else '全采样'}")
+        
+        return complete_question
+        
+    except Exception as e:
+        logging.error(f"第{question_index+1}题处理失败: {e}")
+        
+        failed_question = question.copy()
+        failed_question["generated_options"] = generator._create_fallback_options(question)
+        failed_question["generation_status"] = "failed"
+        failed_question["error_message"] = str(e)
+        failed_question["question_index"] = question_index
+        
+        return failed_question
+
+
+def main():
+    # 配置信息
+    API_KEY = "sk-oYh3Xrhg8oDY2gW02c966f31C84449Ad86F9Cd9dF6E64a8d"
+    BASE_URL = "https://vip.apiyi.com/v1"
+    MODEL_NAME = "deepseek-chat"
+    MAX_WORKERS = 20
+    
+    INPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/step7_no_perp_convertible.json"
+    OUTPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepy_complete_choice_questions_with_sampling.json"
+    
+    # 加载数据
+    print("正在加载题目数据...")
+    with open(INPUT_FILE, 'r', encoding='utf-8') as f:
+        questions = json.load(f)
+    
+    import random
+    random.shuffle(questions)  # 随机打乱题目顺序
+    # questions = questions[:100]  # 限制处理前100道题目以便测试
+    print(f"加载了 {len(questions)} 道题目")
+    
+    # 统计题目类型分布
+    type_counts = {}
+    for q in questions:
+        qtype = q.get("question_type", "unknown")
+        type_counts[qtype] = type_counts.get(qtype, 0) + 1
+    
+    print("题目类型分布:")
+    for qtype, count in type_counts.items():
+        print(f"  {qtype}: {count} 道")
+    
+    # 初始化生成器
+    generator = ChoiceOptionsGenerator(API_KEY, BASE_URL, MODEL_NAME, MAX_WORKERS)
+    
+    print(f"\n开始生成选项，每题最多采样{generator.max_sampling_attempts}次...")
+    print("策略：答错题目会早停，答对题目会继续采样直到上限")
+    
+    # 使用ThreadPoolExecutor进行并发处理
+    
+    # 使用ThreadPoolExecutor进行并发处理
+    with ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:
+        # 提交所有任务
+        future_to_question = {
+            executor.submit(process_single_question, generator, question, i): (question, i) 
+            for i, question in enumerate(questions)
+        }
+        
+        # 使用tqdm显示进度
+        with tqdm(total=len(questions), desc="生成选项") as pbar:
+            # 收集结果
+            temp_results = []
+            
+            for future in as_completed(future_to_question):
+                try:
+                    result = future.result()
+                    temp_results.append(result)
+                    
+                    pbar.update(1)
+                    
+                    # 更新进度条描述信息
+                    sampling_info = result.get("generated_options", {}).get("sampling_summary", {})
+                    difficulty_label = sampling_info.get("difficulty_label", "unknown")
+                    
+                    status_emoji = {
+                        "hard_early_stop": "🔥",
+                        "easy_all_correct": "✅", 
+                        "mixed": "⚡",
+                        "unknown_fallback": "❓",
+                        "unknown_retry": "🔄"
+                    }
+                    
+                    desc = f"生成选项 {status_emoji.get(difficulty_label, '❓')}"
+                    pbar.set_description(desc)
+                    
+                except Exception as e:
+                    logging.error(f"处理结果时发生错误: {e}")
+                    original_question, question_index = future_to_question[future]
+                    
+                    # 创建失败结果
+                    failed_result = original_question.copy()
+                    failed_result["generated_options"] = generator._create_fallback_options(original_question)
+                    failed_result["generation_status"] = "processing_failed"
+                    failed_result["error_message"] = str(e)
+                    failed_result["question_index"] = question_index
+                    
+                    temp_results.append(failed_result)
+                    pbar.update(1)
+    
+    # 按原始顺序排序结果
+    complete_questions = sorted(temp_results, key=lambda x: x.get("question_index", 0))
+    
+    # 移除临时的索引字段
+    for question in complete_questions:
+        if "question_index" in question:
+            del question["question_index"]
+    
+    # 统计采样结果
+    print("\n=== 采样结果统计 ===")
+    
+    sampling_stats = {
+        "hard_early_stop": 0,      # 答错后早停的困难题
+        "easy_all_correct": 0,     # 全部采样都答对的简单题
+        "mixed": 0,                # 混合结果
+        "unknown_fallback": 0,     # 备用方案
+        "unknown_retry": 0,        # 重试方案
+        "total": len(complete_questions)
+    }
+    
+    early_stop_questions = []
+    all_correct_questions = []
+    
+    total_api_calls = 0
+    total_generation_calls = 0
+    total_validation_calls = 0
+    
+    for q in complete_questions:
+        options_data = q.get("generated_options", {})
+        sampling_info = options_data.get("sampling_summary", {})
+        
+        difficulty_label = sampling_info.get("difficulty_label", "unknown_fallback")
+        is_early_stop = sampling_info.get("is_early_stop", False)
+        is_all_correct = sampling_info.get("is_all_correct", False)
+        attempts = sampling_info.get("total_sampling_attempts", 0)
+        
+        # 统计标签分布
+        if difficulty_label in sampling_stats:
+            sampling_stats[difficulty_label] += 1
+        
+        # 收集特殊类别的题目
+        if is_early_stop:
+            early_stop_questions.append(q)
+        
+        if is_all_correct:
+            all_correct_questions.append(q)
+        
+        # 统计API调用次数
+        total_generation_calls += attempts
+        # 每次采样都需要验证（除了备用方案）
+        if difficulty_label not in ["unknown_fallback", "unknown_retry"]:
+            total_validation_calls += attempts
+    
+    total_api_calls = total_generation_calls + total_validation_calls
+    
+    # 输出统计结果
+    print("题目标记分布:")
+    for label, count in sampling_stats.items():
+        if label != "total" and count > 0:
+            percentage = (count / sampling_stats["total"]) * 100
+            print(f"  {label}: {count} 道 ({percentage:.1f}%)")
+    
+    print(f"\n关键指标:")
+    print(f"  早停困难题（答错后早停）: {len(early_stop_questions)} 道")
+    print(f"  全正确简单题（所有采样都答对）: {len(all_correct_questions)} 道")
+    print(f"  早停率: {len(early_stop_questions)/len(complete_questions)*100:.1f}%")
+    print(f"  全正确率: {len(all_correct_questions)/len(complete_questions)*100:.1f}%")
+    
+    # API成本统计
+    print(f"\n=== API调用统计 ===")
+    print(f"总生成调用: {total_generation_calls}")
+    print(f"总验证调用: {total_validation_calls}")
+    print(f"总API调用: {total_api_calls}")
+    print(f"平均每题调用: {total_api_calls/len(complete_questions):.1f}")
+    
+    # 采样效率分析
+    if early_stop_questions:
+        early_stop_attempts = [q.get("generated_options", {}).get("sampling_summary", {}).get("total_sampling_attempts", 0) 
+                              for q in early_stop_questions]
+        avg_early_stop_attempts = sum(early_stop_attempts) / len(early_stop_attempts)
+        print(f"早停题目平均采样次数: {avg_early_stop_attempts:.1f}")
+    
+    if all_correct_questions:
+        all_correct_attempts = [q.get("generated_options", {}).get("sampling_summary", {}).get("total_sampling_attempts", 0) 
+                               for q in all_correct_questions]
+        avg_all_correct_attempts = sum(all_correct_attempts) / len(all_correct_attempts)
+        print(f"全正确题目平均采样次数: {avg_all_correct_attempts:.1f}")
+    
+    # 按题目类型分析
+    print(f"\n=== 各题型采样效果 ===")
+    type_sampling_analysis = {}
+    
+    for q in complete_questions:
+        qtype = q.get("question_type", "unknown")
+        options_data = q.get("generated_options", {})
+        sampling_info = options_data.get("sampling_summary", {})
+        difficulty_label = sampling_info.get("difficulty_label", "unknown")
+        
+        if qtype not in type_sampling_analysis:
+            type_sampling_analysis[qtype] = {
+                "hard_early_stop": 0,
+                "easy_all_correct": 0,
+                "mixed": 0,
+                "unknown": 0,
+                "total": 0
+            }
+        
+        type_sampling_analysis[qtype]["total"] += 1
+        
+        if difficulty_label == "hard_early_stop":
+            type_sampling_analysis[qtype]["hard_early_stop"] += 1
+        elif difficulty_label == "easy_all_correct":
+            type_sampling_analysis[qtype]["easy_all_correct"] += 1
+        elif difficulty_label == "mixed":
+            type_sampling_analysis[qtype]["mixed"] += 1
+        else:
+            type_sampling_analysis[qtype]["unknown"] += 1
+    
+    for qtype, stats in type_sampling_analysis.items():
+        if stats["total"] > 0:
+            print(f"{qtype}:")
+            early_stop_rate = (stats["hard_early_stop"] / stats["total"]) * 100
+            all_correct_rate = (stats["easy_all_correct"] / stats["total"]) * 100
+            print(f"  早停率: {early_stop_rate:.1f}% ({stats['hard_early_stop']}/{stats['total']})")
+            print(f"  全正确率: {all_correct_rate:.1f}% ({stats['easy_all_correct']}/{stats['total']})")
+    
+    # 保存结果
+    final_output = {
+        "questions": complete_questions,
+        "sampling_statistics": {
+            "label_distribution": {k: v for k, v in sampling_stats.items() if k != "total"},
+            "early_stop_count": len(early_stop_questions),
+            "all_correct_count": len(all_correct_questions),
+            "early_stop_rate": len(early_stop_questions)/len(complete_questions),
+            "all_correct_rate": len(all_correct_questions)/len(complete_questions),
+            "total_questions": len(complete_questions)
+        },
+        "api_usage": {
+            "total_generation_calls": total_generation_calls,
+            "total_validation_calls": total_validation_calls,
+            "total_api_calls": total_api_calls,
+            "average_calls_per_question": total_api_calls/len(complete_questions)
+        },
+        "generation_metadata": {
+            "generation_timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
+            "model_used": MODEL_NAME,
+            "max_sampling_attempts": generator.max_sampling_attempts,
+            "success_rate": sum(1 for q in complete_questions if q.get("generation_status") == "success") / len(complete_questions)
+        }
+    }
+    
+    with open(OUTPUT_FILE, 'w', encoding='utf-8') as f:
+        json.dump(final_output, f, ensure_ascii=False, indent=2)
+    
+    # 输出成功率统计
+    success_count = sum(1 for q in complete_questions if q.get("generation_status") == "success")
+    failed_count = len(complete_questions) - success_count
+    
+    print(f"\n=== 生成成功率统计 ===")
+    print(f"总共处理: {len(complete_questions)} 道题目")
+    print(f"成功生成: {success_count} 道")
+    print(f"使用备用方案: {failed_count} 道")
+    print(f"成功率: {success_count/len(complete_questions)*100:.2f}%")
+    
+    # 策略效果评估
+    print(f"\n=== 策略效果评估 ===")
+    
+    if len(early_stop_questions) > 0:
+        print("✅ 早停策略有效：成功识别出困难题目")
+        print(f"   困难题目数量: {len(early_stop_questions)} 道")
+        
+        # 展示几个早停题目的例子
+        print("   早停题目示例:")
+        for i, q in enumerate(early_stop_questions[:3]):  # 只显示前3个
+            qtype = q.get("question_type", "unknown")
+            attempts = q.get("generated_options", {}).get("sampling_summary", {}).get("total_sampling_attempts", 0)
+            print(f"     {i+1}. {qtype}题，第{attempts}次采样后早停")
+    else:
+        print("⚠️  没有题目触发早停，可能需要调整难度")
+    
+    if len(all_correct_questions) > 0:
+        print("✅ 全采样策略有效：识别出简单题目")
+        print(f"   简单题目数量: {len(all_correct_questions)} 道")
+        
+        # 展示几个全正确题目的例子
+        print("   全正确题目示例:")
+        for i, q in enumerate(all_correct_questions[:3]):  # 只显示前3个
+            qtype = q.get("question_type", "unknown")
+            attempts = q.get("generated_options", {}).get("sampling_summary", {}).get("total_sampling_attempts", 0)
+            print(f"     {i+1}. {qtype}题，{attempts}次采样全部答对")
+    else:
+        print("⚠️  没有题目全部答对，生成的题目可能都比较困难")
+    
+    # 给出优化建议
+    print(f"\n=== 优化建议 ===")
+    
+    early_stop_rate = len(early_stop_questions)/len(complete_questions)
+    all_correct_rate = len(all_correct_questions)/len(complete_questions)
+    
+    if early_stop_rate < 0.2:
+        print("• 早停率偏低，建议:")
+        print("  - 增强提示词的迷惑性设计")
+        print("  - 提高选项生成的创造性（增加temperature）")
+        print("  - 添加更多AI容易犯错的陷阱类型")
+    
+    if all_correct_rate > 0.6:
+        print("• 全正确率过高，建议:")
+        print("  - 检查题目是否过于简单")
+        print("  - 提升干扰选项的质量")
+        print("  - 增加专业深度和复杂性")
+    
+    if early_stop_rate > 0.8:
+        print("• 早停率过高，建议:")
+        print("  - 适当降低题目难度")
+        print("  - 平衡难易程度分布")
+        print("  - 检查是否过度设计陷阱")
+    
+    avg_api_calls = total_api_calls/len(complete_questions)
+    if avg_api_calls > 8:
+        print("• API调用次数偏高，建议:")
+        print("  - 优化提示词提高首次生成质量")
+        print("  - 考虑减少最大采样次数")
+        print("  - 改进验证逻辑减少失败率")
+    
+    print(f"\n结果已保存到: {OUTPUT_FILE}")
+    print("包含完整的题目数据、采样统计和API使用情况")
+
+
+def export_analysis_report(questions: List[Dict], output_path: str):
+    """导出分析报告"""
+    early_stop_questions = []
+    all_correct_questions = []
+    mixed_questions = []
+    
+    for q in questions:
+        options_data = q.get("generated_options", {})
+        sampling_info = options_data.get("sampling_summary", {})
+        difficulty_label = sampling_info.get("difficulty_label", "unknown")
+        
+        if difficulty_label == "hard_early_stop":
+            early_stop_questions.append(q)
+        elif difficulty_label == "easy_all_correct":
+            all_correct_questions.append(q)
+        elif difficulty_label == "mixed":
+            mixed_questions.append(q)
+    
+    report = {
+        "summary": {
+            "total_questions": len(questions),
+            "early_stop_questions": len(early_stop_questions),
+            "all_correct_questions": len(all_correct_questions),
+            "mixed_questions": len(mixed_questions),
+            "early_stop_rate": len(early_stop_questions) / len(questions),
+            "all_correct_rate": len(all_correct_questions) / len(questions)
+        },
+        "early_stop_examples": early_stop_questions[:10],  # 前10个早停例子
+        "all_correct_examples": all_correct_questions[:10],  # 前10个全正确例子
+        "mixed_examples": mixed_questions[:5]  # 前5个混合例子
+    }
+    
+    with open(output_path, 'w', encoding='utf-8') as f:
+        json.dump(report, f, ensure_ascii=False, indent=2)
+    
+    print(f"分析报告已保存到: {output_path}")
+
+
+if __name__ == "__main__":
+    main()

layer2/PGEE/code/stepy_statistic.txt

@@ -0,0 +1,59 @@
+=== 采样结果统计 ===
+题目标记分布:
+  hard_early_stop: 1494 道 (44.7%)
+  easy_all_correct: 1807 道 (54.1%)
+  unknown_fallback: 42 道 (1.3%)
+
+关键指标:
+  早停困难题（答错后早停）: 1494 道
+  全正确简单题（所有采样都答对）: 1807 道
+  早停率: 44.7%
+  全正确率: 54.1%
+
+=== API调用统计 ===
+总生成调用: 13850
+总验证调用: 13850
+总API调用: 27700
+平均每题调用: 8.3
+早停题目平均采样次数: 2.0
+全正确题目平均采样次数: 6.0
+
+=== 各题型采样效果 ===
+short_answer:
+  早停率: 36.9% (721/1954)
+  全正确率: 62.4% (1219/1954)
+multiple_choice:
+  早停率: 58.8% (154/262)
+  全正确率: 39.3% (103/262)
+calculation:
+  早停率: 66.0% (578/876)
+  全正确率: 31.4% (275/876)
+true_false:
+  早停率: 16.3% (41/251)
+  全正确率: 83.7% (210/251)
+
+=== 生成成功率统计 ===
+总共处理: 3343 道题目
+成功生成: 3343 道
+使用备用方案: 0 道
+成功率: 100.00%
+
+=== 策略效果评估 ===
+✅ 早停策略有效：成功识别出困难题目
+   困难题目数量: 1494 道
+   早停题目示例:
+     1. short_answer题，第1次采样后早停
+     2. short_answer题，第1次采样后早停
+     3. short_answer题，第3次采样后早停
+✅ 全采样策略有效：识别出简单题目
+   简单题目数量: 1807 道
+   全正确题目示例:
+     1. short_answer题，6次采样全部答对
+     2. short_answer题，6次采样全部答对
+     3. true_false题，6次采样全部答对
+
+=== 优化建议 ===
+• API调用次数偏高，建议:
+  - 优化提示词提高首次生成质量
+  - 考虑减少最大采样次数
+  - 改进验证逻辑减少失败率

layer2/PGEE/code/stepz_final_choice_questions.json

@@ -0,0 +1,895 @@
+[
+  {
+    "question": "What are the close-packed directions of an ideal hexagonal close-packed crystal structure?",
+    "choices": {
+      "text": [
+        "(11-20)",
+        "(0001)",
+        "(10-10)",
+        "(1-210)"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "For many polymer materials, their tensile strength σi is a function of the number-average relative molecular mass Mn̅: the formula is given by σi = σ0 - A / Mn̅, where σ0 is the tensile strength at infinite molecular weight, and A is a constant. Given two types of poly(methyl methacrylate) with number-average relative molecular masses of 4×10^4 and 6×10^4, the corresponding tensile strengths are 107 MPa and 170 MPa, respectively. Determine the tensile strength σb when the number-average relative molecular mass is 3×10^4.",
+    "choices": {
+      "text": [
+        "44 MPa",
+        "68 MPa",
+        "89 MPa",
+        "125 MPa"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Suppose that solid nickel was able to nucleate homogeneously with an undercooling of only 22°C. How many atoms would have to group together spontaneously for this to occur? Assume that the lattice parameter of the solid FCC nickel is 0.356nm.",
+    "choices": {
+      "text": [
+        "1.136 × 10^{6}",
+        "5.68 × 10^{5}",
+        "2.272 × 10^{6}",
+        "3.408 × 10^{6}"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Which of the following best describes the habit plane and its invariance in the characteristics of martensitic transformation?",
+    "choices": {
+      "text": [
+        "Martensite forms on certain crystallographic planes of the parent phase, and these planes are called habit planes. The habit plane is an undistorted and non-rotating plane.",
+        "The habit plane is defined as the interface between austenite and martensite that exhibits minimum elastic strain energy, often approximated as {111}γ in FCC to BCC transformations.",
+        "Habit planes correspond to the planes of maximum shear stress during transformation, typically {110} in BCC metals, where dislocation slip is easiest.",
+        "In martensitic transformations, the habit plane is always parallel to the twinning plane of the product phase, maintaining strict crystallographic symmetry."
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "The bonding forces between adhesive and adherend surfaces are thought to be",
+    "choices": {
+      "text": [
+        "Electrostatic",
+        "Van der Waals forces",
+        "Hydrogen bonding",
+        "Mechanical interlocking"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Can all parts of a dislocation loop be edge dislocations? Why?",
+    "choices": {
+      "text": [
+        "Yes, if the Burgers vector is perpendicular to the plane of the loop, creating a prismatic dislocation",
+        "No, because dislocation loops must always contain both edge and screw components to maintain continuity",
+        "Yes, but only in FCC metals where the Schmid factor favors edge dislocation formation",
+        "No, because the Burgers vector must rotate with the dislocation line direction to satisfy conservation laws"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "What is the graphite content in Fe-3.6%C alloy?",
+    "choices": {
+      "text": [
+        "2.94% (calculated from the lever rule considering only graphite formation)",
+        "3.6% (total carbon content assuming all carbon forms graphite)",
+        "1.8% (based on metastable Fe-Fe3C system calculation)",
+        "4.2% (considering carbon solubility in austenite at eutectic temperature)"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "In the ionic compound $\\mathbf{MgO}$, the cation most likely to replace $\\mathbf{Mg}^{2+}$ in the compound (given the radii (nm) of each cation: (${\\bf Mg}^{2+}$) 0.066, ($\\mathbb{C}a^{2+}$) 0.099, ($\\mathrm{Li^{+}}$) 0.066, ($\\mathbf{Fe}^{\\mathbf{2+}}$) 0.074) is",
+    "choices": {
+      "text": [
+        "Ca²⁺, due to its similar charge and higher polarizability compensating for the larger ionic radius",
+        "Li⁺, because its identical ionic radius and lower charge density would minimize lattice distortion",
+        "Fe²⁺, owing to its comparable ionic radius and matching charge state with Mg²⁺",
+        "Al³⁺, as its smaller radius (0.054 nm) and higher charge would enhance electrostatic stabilization"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]C[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "For a simple cubic crystal, pure bending of the (110) plane around the [001] axis will form what type of dislocations (specify the direction of the dislocation line and the Burgers vector)?",
+    "choices": {
+      "text": [
+        "Edge type, dislocation line direction=[001], Burgers vector=a[100] or a[010]",
+        "Screw type, dislocation line direction=[110], Burgers vector=a/2[110]",
+        "Mixed type, dislocation line direction=[111], Burgers vector=a/2[110]",
+        "Edge type, dislocation line direction=[110], Burgers vector=a[001]"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Why is interstitial diffusion normally more rapid than vacancy diffusion?",
+    "choices": {
+      "text": [
+        "Interstitial atoms have higher mobility due to their smaller size and the greater probability of finding adjacent empty interstitial sites",
+        "Vacancy diffusion requires overcoming a higher activation energy barrier due to lattice distortion effects",
+        "Interstitial diffusion benefits from lower coordination number of interstitial sites compared to substitutional sites",
+        "The concentration of interstitial defects is typically orders of magnitude higher than vacancy concentrations in most materials"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "At room temperature the electrical conductivity and the electron mobility for aluminum are 3.8 x 10^7 (Ω·m)^-1 and 0.0012 m^2/V·s, respectively. The number of free electrons per cubic meter for aluminum at room temperature is:",
+    "choices": {
+      "text": [
+        "1.98 x 10^29 m^-3",
+        "3.16 x 10^28 m^-3",
+        "2.65 x 10^29 m^-3",
+        "4.74 x 10^27 m^-3"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "What is the coordination number of the cation in the compound Cr2O3, given r(Cr3+)=0.064nm, r(O2-)=0.132nm?",
+    "choices": {
+      "text": [
+        "6",
+        "12.00",
+        "9.00",
+        "3.00"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Which of the following best describes a hybrid composite?",
+    "choices": {
+      "text": [
+        "A composite reinforced with two or more different fiber materials in a single matrix",
+        "A composite combining ceramic and metallic phases to achieve graded properties",
+        "A laminate structure where different layers contain distinct reinforcement materials",
+        "A nanocomposite incorporating carbon nanotubes and graphene in a polymer matrix"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "When the oxygen partial pressure is increased, what changes will occur in the density of Zn1+xO?",
+    "choices": {
+      "text": [
+        "The density decreases due to reduced zinc interstitial concentration as x in Zn1+xO decreases",
+        "The density increases because higher oxygen partial pressure leads to more oxygen interstitials",
+        "The density remains unchanged as the Schottky defect equilibrium compensates for the change",
+        "The density first increases then decreases due to the formation of zinc vacancy-oxygen interstitial complexes"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "How do the plasticity and toughness of a metal with finer grains compare to the same metal with coarser grains?",
+    "choices": {
+      "text": [
+        "Better, due to increased grain boundary strengthening and dislocation accumulation capacity",
+        "Worse, because finer grains lead to higher stress concentration at triple junctions",
+        "Similar, as grain size primarily affects hardness rather than plasticity and toughness",
+        "Dependent on strain rate, with finer grains showing better toughness only at high strain rates"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Below the critical temperature Tc, superconductors possess complete which property?",
+    "choices": {
+      "text": [
+        "Electrical conductivity",
+        "Magnetic susceptibility",
+        "Thermal conductivity",
+        "Meissner effect"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "For an ASTM grain size number of 8, the number of grains per square inch with no magnification is:",
+    "choices": {
+      "text": [
+        "1.28 × 10^6 grains/in.^2",
+        "6.4 × 10^5 grains/in.^2",
+        "2.56 × 10^6 grains/in.^2",
+        "3.2 × 10^5 grains/in.^2"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "An aluminum bar 125mm (5.0 in.) long and having a square cross section 16.5mm (0.65 in.) on an edge is pulled in tension with a load of 66,700N(15,000 lb) and experiences an elongation of 0.43 mm(1.7 × 10^{-2} in.). Assuming that the deformation is entirely elastic, the modulus of elasticity of the aluminum is:",
+    "choices": {
+      "text": [
+        "71.2 GPa (10.4 × 10^{6} psi)",
+        "69.0 GPa (10.0 × 10^{6} psi)",
+        "73.5 GPa (10.7 × 10^{6} psi)",
+        "67.8 GPa (9.8 × 10^{6} psi)"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "After metal undergoes cold plastic deformation, this phenomenon is called deformation strengthening or:",
+    "choices": {
+      "text": [
+        "work hardening",
+        "strain hardening",
+        "dislocation strengthening",
+        "precipitation hardening"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "When n spheres form a cubic close packing, what is the number of octahedral voids?",
+    "choices": {
+      "text": [
+        "Alternative to n",
+        "Opposite of n",
+        "n",
+        "Different from n"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]C[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "A plate of an alloy steel has a plane-strain fracture toughness of 50 MPa·{m}^{1 / 2}. If it is known that the largest surface crack is 0.5mm long, and that the value of Y is 1.1 , which of the following can be said about this plate when a tensile stress of 1200 MPa is applied?",
+    "choices": {
+      "text": [
+        "The plate will definitely fracture due to the stress intensity factor exceeding the fracture toughness",
+        "The plate will not fracture because the applied stress is below the yield strength of alloy steel",
+        "The plate may not fracture if the crack tip plasticity zone size exceeds the critical crack length",
+        "The plate will undergo stable crack growth but not catastrophic fracture at this stress level"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "What is the ratio of the number of tetrahedral voids to the number of O2- ions?",
+    "choices": {
+      "text": [
+        "2:1",
+        "1:1",
+        "1:2",
+        "4:1"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Given the melting point of Cu tm=1083°C, latent heat of fusion Lm=1.88×10^3 J/cm^3, and specific surface energy σ=1.44×10^5 J/cm^2. The critical nucleus radius for homogeneous nucleation of Cu at 853°C is:",
+    "choices": {
+      "text": [
+        "9.03×10^-10 m",
+        "1.44×10^-9 m",
+        "5.67×10^-10 m",
+        "2.88×10^-9 m"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "When water-based substances melt into a liquid state, their volume undergoes the phenomenon of .",
+    "choices": {
+      "text": [
+        "anomalous expansion due to hydrogen bonding rearrangement",
+        "contraction caused by increased molecular packing efficiency",
+        "volume invariance governed by the Clausius-Clapeyron relation",
+        "density fluctuation following the Maxwell-Boltzmann distribution"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Based on microstructural analysis, the volume of graphite in a gray cast iron accounts for 12%, and the volume of ferrite accounts for 88%. Determine the value of ωC (given that the density of graphite ρG=2.2 g/cm³, and the density of ferrite ρα=7.8 g/cm³).",
+    "choices": {
+      "text": [
+        "ωC=0.037",
+        "ωC=0.042",
+        "ωC=0.028",
+        "ωC=0.051"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "The density of Al2O3 is 3.8g/cm3. How many atoms are contained in 1g of Al2O3?",
+    "choices": {
+      "text": [
+        "2.95×10^22",
+        "1.18×10^22",
+        "3.54×10^22",
+        "5.90×10^22"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "A 2 in. × 8 in. × 10 in. iron casting is produced and, after cooling to room temperature, is found to weigh 43.9 lb. If all of the shrinkage occurs as pores with a diameter of 0.05 in., the number of shrinkage pores in the casting is:",
+    "choices": {
+      "text": [
+        "83,354 pores",
+        "76,218 pores",
+        "92,487 pores",
+        "65,932 pores"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "In the symmetric tilt grain boundary of face-centered cubic metal $\\mathrm{Cu}$, the spacing between two positive edge dislocations is $D=1000\\mathrm{nm}$. Assuming the extra half-plane of the edge dislocation is the (110) plane and $d_{110}=0.1278\\mathrm{~nm}$, what is the tilt angle $\\theta$ of the tilt grain boundary?",
+    "choices": {
+      "text": [
+        "0.0146°",
+        "0.0292°",
+        "0.0073°",
+        "0.0219°"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "For some viscoelastic polymers that are subjected to stress relaxation tests, the stress decays with time according to the equation σ(t) = σ(0) exp(-t/τ). A specimen of this polymer was pulled in tension to a strain of 0.6, with an initial stress level of 2.76 MPa (400 psi) that dropped to 1.72 MPa (250 psi) after 60s. Determine E_τ(10) for this material:",
+    "choices": {
+      "text": [
+        "4.25 MPa (616 psi)",
+        "3.82 MPa (554 psi)",
+        "2.89 MPa (419 psi)",
+        "5.17 MPa (750 psi)"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Why are residual thermal stresses introduced into a glass piece when it is cooled?",
+    "choices": {
+      "text": [
+        "Differential cooling rates between surface and interior regions cause uneven contraction, establishing stresses due to limited deformation",
+        "Phase transformation from liquid to glassy state creates volume mismatch between amorphous and crystalline regions",
+        "Thermal expansion coefficient anisotropy in the glass structure leads to directional stress buildup",
+        "Viscous flow cessation at the glass transition temperature locks in molecular orientation stresses"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Why is the compressive strength of ceramics always higher than the tensile strength?",
+    "choices": {
+      "text": [
+        "Under tension, cracks propagate rapidly when reaching critical size, while under compression, cracks either close or propagate parallel to the compression axis",
+        "Ceramics have higher dislocation mobility under compression, allowing plastic deformation that increases strength",
+        "The ionic/covalent bonding in ceramics creates higher resistance to shear stresses than to normal stresses",
+        "The Weibull modulus for compressive loading is typically 3-5 times higher than for tensile loading in ceramics"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "What is the critical temperature Tc of a superconductor?",
+    "choices": {
+      "text": [
+        "The temperature at which the resistance abruptly drops to zero",
+        "The temperature at which the Meissner effect becomes fully observable",
+        "The temperature corresponding to the peak in specific heat capacity",
+        "The temperature where Cooper pairs begin to form but resistance remains finite"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Why is the diffusion coefficient of anions generally smaller than that of cations in ionic crystals?",
+    "choices": {
+      "text": [
+        "Anions typically occupy close-packed positions in the crystal lattice, requiring significant structural rearrangement for diffusion, while cations diffuse through interstitial sites with lower energy barriers",
+        "Anions have larger ionic radii than cations, leading to stronger electrostatic repulsion between neighboring anions that hinders their mobility",
+        "The higher electronegativity of anions creates stronger covalent bonding with surrounding cations, effectively trapping the anions in their lattice positions",
+        "Cations experience a lower activation energy for diffusion due to their smaller mass and higher vibrational frequency compared to anions"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "What is one major limitation of the iron-iron carbide phase diagram related to time-temperature relationships in terms of heat treatment and the development of microstructure?",
+    "choices": {
+      "text": [
+        "The diagram provides no indication as to the time-temperature relationships for the formation of pearlite, bainite, and spheroidite, all of which are composed of the equilibrium ferrite and cementite phases",
+        "The diagram fails to account for the kinetic effects of carbon diffusion rates during austenite decomposition, which critically influence phase transformation times",
+        "The diagram does not specify the exact cooling rates required to achieve martensitic transformation, which is a non-equilibrium phase",
+        "The diagram omits the critical temperature ranges for recrystallization and grain growth processes in ferrous alloys"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Given the diffusion coefficients for iron in nickel at two temperatures (1273 K with D = 9.4 x 10^-16 m^2/s and 1473 K with D = 2.4 x 10^-14 m^2/s), determine the values of D0 and the activation energy Qd.",
+    "choices": {
+      "text": [
+        "D0 = 2.2 x 10^-5 m^2/s and Qd = 252,400 J/mol",
+        "D0 = 1.8 x 10^-5 m^2/s and Qd = 245,000 J/mol",
+        "D0 = 3.5 x 10^-5 m^2/s and Qd = 260,000 J/mol",
+        "D0 = 2.2 x 10^-5 m^2/s and Qd = 235,000 J/mol"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "The activation energy for self-diffusion in copper is 49,300 cal / mol. A copper specimen creeps at 0.002 N / in·h when a stress of 15,000 psi is applied at 600°C. If the creep rate of copper is dependent on self-diffusion, determine the creep rate if the temperature is 800°C.",
+    "choices": {
+      "text": [
+        "0.4 N/in·h",
+        "0.08 N/in·h",
+        "0.02 N/in·h",
+        "0.004 N/in·h"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "For an edge dislocation line, the direction of its slip motion is (18) to the Burgers vector",
+    "choices": {
+      "text": [
+        "parallel",
+        "perpendicular",
+        "at 45° to the Burgers vector and dislocation line",
+        "anti-parallel with a 5° deviation due to Peierls stress"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Is any of the alloying elements expected to have unlimited solid solubility in copper? For copper: r_Cu=1.278 Å",
+    "choices": {
+      "text": [
+        "Ni: r=1.246 Å, φr=-2.5% (same crystal structure, similar electronegativity)",
+        "Ag: r=1.444 Å, φr=+13.0% (same column in periodic table, similar valence electron configuration)",
+        "Zn: r=1.332 Å, φr=+4.2% (common alloying element in brass, similar atomic size)",
+        "Pd: r=1.376 Å, φr=+7.7% (similar d-electron configuration, forms continuous solid solution at high temperatures)"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Which valence state of cations must be present in the exchange of originally adsorbed cations in clay for mud peptization?",
+    "choices": {
+      "text": [
+        "The presence of divalent cations is essential for maintaining the Stern layer stability during peptization",
+        "Trivalent cations are required to overcome the critical coagulation concentration in clay suspensions",
+        "Monovalent cations must dominate the exchange process to achieve effective double layer expansion",
+        "A balanced mixture of mono- and divalent cations is necessary for optimal zeta potential adjustment"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]C[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "In the ilmenite crystal structure of FeTiO3, which consists of an HCP arrangement of O2- ions, what fraction of the total tetrahedral sites will be occupied?",
+    "choices": {
+      "text": [
+        "No tetrahedral sites will be occupied",
+        "1/3 of the tetrahedral sites will be occupied by Fe2+ ions",
+        "1/2 of the tetrahedral sites will be occupied by Ti4+ ions",
+        "1/4 of the tetrahedral sites will be occupied by Fe2+ and Ti4+ ions in an ordered arrangement"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Which of the following best describes constitutional supercooling?",
+    "choices": {
+      "text": [
+        "During the solidification of a solid solution alloy, the distribution of solute in the liquid phase changes, which alters the alloy's melting point. Even if the actual temperature distribution remains unchanged, the degree of supercooling at the solid-liquid interface front will vary. Therefore, the supercooling of a solid solution alloy is determined by both the changing alloy melting point and the actual temperature distribution. This type of supercooling caused by changes in liquid phase composition is called constitutional supercooling.",
+        "Constitutional supercooling occurs when the cooling rate exceeds the critical cooling rate for a given alloy, leading to a metastable undercooled liquid state that persists below the equilibrium solidification temperature due to kinetic limitations.",
+        "In constitutional supercooling, the solute partitioning coefficient causes a local increase in melting temperature ahead of the solidification front, resulting in a thermal gradient that opposes the direction of heat flow during solidification.",
+        "Constitutional supercooling is a phenomenon where the latent heat of fusion released during solidification creates a thermal barrier that prevents further crystal growth, requiring additional undercooling to overcome this energy barrier."
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Many properties of clay are related to the types of adsorbed cations. Which of the following correctly represents the variation trend of the thixotropy of clay slurry when adsorbing the following different cations (use arrows to represent: small—large) H+ Al3+ Ba2+ Sr2+ Ca2+ Mg2+ NH4+ K+ Na+ Li+?",
+    "choices": {
+      "text": [
+        "H+ < Li+ < Na+ < K+ < NH4+ < Mg2+ < Ca2+ < Sr2+ < Ba2+ < Al3+",
+        "Li+ < Na+ < K+ < NH4+ < H+ < Mg2+ < Ca2+ < Sr2+ < Ba2+ < Al3+",
+        "Al3+ < Ba2+ < Sr2+ < Ca2+ < Mg2+ < NH4+ < K+ < Na+ < Li+ < H+",
+        "H+ < Al3+ < Ba2+ < Sr2+ < Ca2+ < Mg2+ < NH4+ < K+ < Na+ < Li+"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Which of the following statements about ceramic materials and 'work hardening' is correct?",
+    "choices": {
+      "text": [
+        "Ceramic materials will not exhibit 'work hardening' after deformation, because ceramic materials cannot undergo plastic deformation",
+        "Ceramic materials can exhibit 'work hardening' through dislocation pile-up mechanisms similar to metals, but only at extremely high temperatures (>1500°C)",
+        "Ceramic materials show 'work hardening' only when they contain secondary phases that allow limited dislocation movement",
+        "Ceramic materials demonstrate 'work hardening' through twinning deformation mechanisms rather than dislocation motion"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Calculate the number of Fe3C particles per unit volume N_v, given the volume fraction of Fe3C phase φ_Fe3C=0.06 and the radius of spherical cementite particles r=10×10^-6 m.",
+    "choices": {
+      "text": [
+        "1.43×10^13 (1/m^3)",
+        "2.86×10^13 (1/m^3)",
+        "7.16×10^12 (1/m^3)",
+        "3.58×10^12 (1/m^3)"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "A single crystal test bar of an FCC metal with a cross-sectional area of 10cm² is subjected to a compression test along the axial direction. Given that the critical resolved shear stress is 0.1kgf/mm² and the initial orientation of the bar axis is [215], determine the axial pressure P at the onset of double slip (without considering physical hardening). The axial pressure P is:",
+    "choices": {
+      "text": [
+        "2450N",
+        "1960N",
+        "2940N",
+        "3430N"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Which plane among (100), (110), and (111) in a face-centered cubic crystal is the close-packed plane?",
+    "choices": {
+      "text": [
+        "(111) plane due to its highest planar density and hexagonal symmetry",
+        "(110) plane because of its diagonal atomic arrangement and intermediate packing efficiency",
+        "(100) plane when considering the slip systems in FCC crystals at elevated temperatures",
+        "(111) plane but only in the presence of stacking faults which modify the ideal packing sequence"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  },
+  {
+    "question": "Germanium to which 10^24 m^-3 As atoms have been added is an extrinsic semiconductor at room temperature, and virtually all the As atoms may be thought of as being ionized (i.e., one charge carrier exists for each As atom). Is this material:",
+    "choices": {
+      "text": [
+        "n-type, because As acts as a donor impurity introducing extra electrons",
+        "p-type, because the high doping concentration induces band inversion",
+        "compensated semiconductor, because the high doping level creates equal numbers of electrons and holes",
+        "intrinsic semiconductor, because at room temperature the thermal energy dominates the doping effects"
+      ],
+      "label": [
+        "A",
+        "B",
+        "C",
+        "D"
+      ]
+    },
+    "answer": "[ANSWER]A[/ANSWER]",
+    "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+  }
+]

layer2/PGEE/code/stepz_final_format_convert.py

@@ -0,0 +1,593 @@
+import json
+from typing import Dict, Any, List, Optional, Tuple
+import random
+from collections import Counter
+
+def convert_to_target_format(source_data: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+    """
+    将源JSON格式转换为目标格式
+    """
+    if "generated_options" not in source_data:
+        return None
+    
+    generated_options = source_data["generated_options"]
+    
+    # 只处理单选题
+    if generated_options.get("question_type") != "multiple_choice":
+        return None
+    
+    question = source_data.get("choice_question", "")
+    if not question:
+        return None
+    
+    options = generated_options.get("options", {})
+    if len(options) != 4:
+        return None
+    
+    correct_answer = generated_options.get("correct_answer", "")
+    if correct_answer not in ["A", "B", "C", "D"]:
+        return None
+    
+    target_data = {
+        "question": question,
+        "choices": {
+            "text": [
+                options.get("A", ""),
+                options.get("B", ""),
+                options.get("C", ""),
+                options.get("D", "")
+            ],
+            "label": ["A", "B", "C", "D"]
+        },
+        "answer": f"[ANSWER]{correct_answer}[/ANSWER]",
+        "prompt": "You are an expert in materials science. Please answer the following materials science question by selecting the correct option. You MUST include the letter of the correct answer at the end of your response within the following tags: [ANSWER] and [/ANSWER]. For example: [ANSWER]A[/ANSWER]."
+    }
+    
+    return target_data
+
+def extract_answer_from_question(question: Dict[str, Any]) -> Optional[str]:
+    """从转换后的题目中提取答案选项"""
+    answer_text = question.get("answer", "")
+    if answer_text.startswith("[ANSWER]") and answer_text.endswith("[/ANSWER]"):
+        answer = answer_text[8:-9]
+        if answer in ["A", "B", "C", "D"]:
+            return answer
+    return None
+
+def shuffle_question_options(question: Dict[str, Any], new_correct_answer: str) -> Dict[str, Any]:
+    """
+    重新排列题目选项，使正确答案变为指定选项
+    
+    Args:
+        question: 题目字典
+        new_correct_answer: 新的正确答案选项 (A/B/C/D)
+        
+    Returns:
+        重新排列后的题目
+    """
+    # 获取当前正确答案
+    current_answer = extract_answer_from_question(question)
+    if not current_answer:
+        return question
+    
+    # 如果已经是目标答案，不需要改变
+    if current_answer == new_correct_answer:
+        return question
+    
+    # 获取当前选项
+    choices = question.get("choices", {})
+    current_texts = choices.get("text", [])
+    current_labels = choices.get("label", ["A", "B", "C", "D"])
+    
+    if len(current_texts) != 4 or len(current_labels) != 4:
+        return question
+    
+    # 找到当前正确答案的索引
+    current_index = current_labels.index(current_answer)
+    new_index = current_labels.index(new_correct_answer)
+    
+    # 交换选项
+    new_texts = current_texts[:]
+    new_texts[new_index], new_texts[current_index] = new_texts[current_index], new_texts[new_index]
+    
+    # 创建新的题目
+    new_question = question.copy()
+    new_question["choices"] = {
+        "text": new_texts,
+        "label": ["A", "B", "C", "D"]
+    }
+    new_question["answer"] = f"[ANSWER]{new_correct_answer}[/ANSWER]"
+    
+    return new_question
+
+def balance_answer_distribution_by_shuffling(questions: List[Dict[str, Any]], 
+                                           random_seed: Optional[int] = None) -> Tuple[List[Dict[str, Any]], Dict[str, Any]]:
+    """
+    通过重新排列选项来平衡答案分布
+    
+    Args:
+        questions: 题目列表
+        random_seed: 随机种子
+        
+    Returns:
+        平衡后的题目列表和统计信息
+    """
+    if random_seed is not None:
+        random.seed(random_seed)
+    
+    total_questions = len(questions)
+    target_per_answer = total_questions // 4
+    remainder = total_questions % 4
+    
+    print(f"\n=== 答案分布平衡 (重排选项法) ===")
+    print(f"总题目数: {total_questions}")
+    print(f"标准分配: 每个选项 {target_per_answer} 道题")
+    if remainder > 0:
+        print(f"余数: {remainder} 道题 (将分配给前{remainder}个选项)")
+    
+    # 统计当前答案分布
+    answer_groups = {"A": [], "B": [], "C": [], "D": []}
+    for i, question in enumerate(questions):
+        answer = extract_answer_from_question(question)
+        if answer and answer in answer_groups:
+            answer_groups[answer].append((i, question))
+    
+    print(f"\n当前答案分布:")
+    for answer in ["A", "B", "C", "D"]:
+        count = len(answer_groups[answer])
+        ratio = count / total_questions if total_questions > 0 else 0
+        print(f"  {answer}: {count} ({ratio*100:.1f}%)")
+    
+    # 计算目标分配（前remainder个选项多分配1道题）
+    target_counts = {}
+    for i, answer in enumerate(["A", "B", "C", "D"]):
+        if i < remainder:
+            target_counts[answer] = target_per_answer + 1
+        else:
+            target_counts[answer] = target_per_answer
+    
+    print(f"\n目标分配:")
+    for answer in ["A", "B", "C", "D"]:
+        print(f"  {answer}: {target_counts[answer]} 道题")
+    
+    # 计算需要调整的数量
+    surplus_questions = []  # (question_index, question, from_answer)
+    deficit_needed = []     # (to_answer, count_needed)
+    
+    for answer in ["A", "B", "C", "D"]:
+        current_count = len(answer_groups[answer])
+        target_count = target_counts[answer]
+        difference = current_count - target_count
+        
+        if difference > 0:
+            # 有多余的题目，需要转移出去
+            print(f"  {answer}: 多 {difference} 道题")
+            # 随机选择要转移的题目
+            questions_to_move = random.sample(answer_groups[answer], difference)
+            for q_idx, q in questions_to_move:
+                surplus_questions.append((q_idx, q, answer))
+        elif difference < 0:
+            # 缺少题目，需要接收
+            needed = -difference
+            print(f"  {answer}: 少 {needed} 道题")
+            deficit_needed.extend([(answer, 1)] * needed)
+    
+    # 打乱顺序以避免偏向性
+    random.shuffle(surplus_questions)
+    random.shuffle(deficit_needed)
+    
+    # 执行调整
+    balanced_questions = questions[:]  # 复制原题目列表
+    
+    print(f"\n开始重新分配 {len(surplus_questions)} 道题:")
+    
+    for i, ((q_idx, question, from_answer), (to_answer, _)) in enumerate(zip(surplus_questions, deficit_needed)):
+        # 重新排列这道题的选项
+        new_question = shuffle_question_options(question, to_answer)
+        balanced_questions[q_idx] = new_question
+        
+        print(f"  第{i+1}次调整: 题目{q_idx+1} 答案从 {from_answer} 改为 {to_answer}")
+    
+    # 验证最终分布
+    final_counter = Counter()
+    for question in balanced_questions:
+        answer = extract_answer_from_question(question)
+        if answer:
+            final_counter[answer] += 1
+    
+    print(f"\n平衡后答案分布:")
+    max_deviation = 0
+    target_ratio = 0.25
+    
+    for answer in ["A", "B", "C", "D"]:
+        count = final_counter.get(answer, 0)
+        ratio = count / total_questions if total_questions > 0 else 0
+        deviation = abs(ratio - target_ratio)
+        max_deviation = max(max_deviation, deviation)
+        print(f"  {answer}: {count} ({ratio*100:.1f}%)")
+    
+    # 统计信息
+    balance_info = {
+        "original_total": total_questions,
+        "final_total": total_questions,  # 题目总数不变
+        "target_per_answer": target_per_answer,
+        "remainder": remainder,
+        "final_distribution": dict(final_counter),
+        "max_deviation": max_deviation,
+        "adjustments_made": len(surplus_questions),
+        "perfectly_balanced": max_deviation <= 0.05
+    }
+    
+    if balance_info["perfectly_balanced"]:
+        print(f"✅ 完美平衡！最大偏差: {max_deviation*100:.1f}%")
+    else:
+        print(f"📊 接近平衡，最大偏差: {max_deviation*100:.1f}%")
+    
+    print(f"总共调整了 {balance_info['adjustments_made']} 道题的答案")
+    
+    return balanced_questions, balance_info
+
+def classify_questions_by_difficulty(questions: List[Dict[str, Any]]) -> Dict[str, List[Dict[str, Any]]]:
+    """
+    按难度分类题目
+    
+    Args:
+        questions: 题目列表
+        
+    Returns:
+        按难度分类的题目字典
+    """
+    difficulty_groups = {
+        "hard_early_stop": [],      # 困难题（答错后早停）
+        "easy_all_correct": [],     # 简单题（所有采样都答对）
+        "mixed": [],                # 混合题（部分对部分错）
+        "unknown": []               # 未知难度
+    }
+    
+    for question in questions:
+        generated_options = question.get("generated_options", {})
+        sampling_summary = generated_options.get("sampling_summary", {})
+        difficulty_label = sampling_summary.get("difficulty_label", "unknown")
+        
+        if difficulty_label in difficulty_groups:
+            difficulty_groups[difficulty_label].append(question)
+        else:
+            difficulty_groups["unknown"].append(question)
+    
+    return difficulty_groups
+
+def select_questions_by_ratio(difficulty_groups: Dict[str, List[Dict[str, Any]]], 
+                            selection_ratios: Dict[str, float],
+                            random_seed: Optional[int] = None) -> Tuple[List[Dict[str, Any]], Dict[str, int]]:
+    """
+    按比例选择题目
+    
+    Args:
+        difficulty_groups: 按难度分类的题目
+        selection_ratios: 各难度等级的选择比例 (0.0-1.0)
+        random_seed: 随机种子
+        
+    Returns:
+        选中的题目列表和选择统计信息
+    """
+    if random_seed is not None:
+        random.seed(random_seed)
+    
+    selected_questions = []
+    selection_stats = {}
+    
+    for difficulty, questions in difficulty_groups.items():
+        total_count = len(questions)
+        ratio = selection_ratios.get(difficulty, 0.0)
+        
+        # 计算要选择的题目数量
+        if ratio <= 0:
+            selected_count = 0
+        elif ratio >= 1:
+            selected_count = total_count
+        else:
+            selected_count = int(total_count * ratio)
+        
+        # 随机选择题目
+        if selected_count > 0 and total_count > 0:
+            if selected_count >= total_count:
+                selected = questions
+            else:
+                selected = random.sample(questions, selected_count)
+            selected_questions.extend(selected)
+        else:
+            selected = []
+        
+        # 记录统计信息
+        selection_stats[difficulty] = {
+            "total": total_count,
+            "selected": len(selected),
+            "ratio_target": ratio,
+            "ratio_actual": len(selected) / total_count if total_count > 0 else 0
+        }
+    
+    # 打乱最终题目顺序
+    random.shuffle(selected_questions)
+    
+    return selected_questions, selection_stats
+
+def batch_convert_questions_with_difficulty_filter(input_file: str, 
+                                                 output_file: str,
+                                                 selection_ratios: Dict[str, float],
+                                                 balance_answers: bool = True,
+                                                 random_seed: Optional[int] = None) -> None:
+    """
+    批量转换题目格式，支持按难度筛选和答案平衡
+    
+    Args:
+        input_file: 输入文件路径
+        output_file: 输出文件路径
+        selection_ratios: 各难度等级的选择比例
+        balance_answers: 是否平衡答案分布
+        random_seed: 随机种子
+    """
+    print("=== 批量转换题目（难度筛选 + 答案平衡）===")
+    print(f"输入文件: {input_file}")
+    print(f"输出文件: {output_file}")
+    print(f"答案平衡: {'开启' if balance_answers else '关闭'}")
+    print(f"随机种子: {random_seed}")
+    
+    # 加载数据
+    print("\n正在加载数据...")
+    with open(input_file, 'r', encoding='utf-8') as f:
+        data = json.load(f)
+    
+    # 处理两种可能的输入格式
+    if isinstance(data, dict) and "questions" in data:
+        source_questions = data["questions"]
+        print(f"检测到完整格式数据，包含其他元数据")
+    elif isinstance(data, list):
+        source_questions = data
+        print(f"检测到题目列表格式")
+    else:
+        raise ValueError("不支持的输入文件格式")
+    
+    print(f"加载了 {len(source_questions)} 道题目")
+    
+    # 按难度分类题目
+    print("\n正在按难度分类题目...")
+    difficulty_groups = classify_questions_by_difficulty(source_questions)
+    
+    print("题目难度分布:")
+    total_multiple_choice = 0
+    for difficulty, questions in difficulty_groups.items():
+        # 统计该难度下的单选题数量
+        mc_count = sum(1 for q in questions 
+                      if q.get("generated_options", {}).get("question_type") == "multiple_choice")
+        total_multiple_choice += mc_count
+        print(f"  {difficulty}: {len(questions)} 道总题目, {mc_count} 道单选题")
+    
+    print(f"可转换的单选题总数: {total_multiple_choice}")
+    
+    # 按比例选择题目
+    print("\n正在按比例选择题目...")
+    print("选择比例设置:")
+    for difficulty, ratio in selection_ratios.items():
+        if difficulty in difficulty_groups:
+            print(f"  {difficulty}: {ratio*100:.1f}%")
+    
+    selected_questions, selection_stats = select_questions_by_ratio(
+        difficulty_groups, selection_ratios, random_seed
+    )
+    
+    print(f"\n题目选择结果:")
+    total_selected = 0
+    for difficulty, stats in selection_stats.items():
+        print(f"  {difficulty}:")
+        print(f"    总数: {stats['total']}")
+        print(f"    选中: {stats['selected']}")
+        print(f"    目标比例: {stats['ratio_target']*100:.1f}%")
+        print(f"    实际比例: {stats['ratio_actual']*100:.1f}%")
+        total_selected += stats['selected']
+    
+    print(f"总共选中: {total_selected} 道题目")
+    
+    # 转换选中的题目
+    print("\n正在转换题目格式...")
+    converted_questions = []
+    conversion_stats = {
+        "selected": total_selected,
+        "multiple_choice": 0,
+        "true_false": 0,
+        "other": 0,
+        "converted": 0,
+        "failed": 0
+    }
+    
+    for i, question in enumerate(selected_questions):
+        try:
+            # 统计题目类型
+            generated_options = question.get("generated_options", {})
+            question_type = generated_options.get("question_type", "unknown")
+            
+            if question_type == "multiple_choice":
+                conversion_stats["multiple_choice"] += 1
+            elif question_type == "true_false":
+                conversion_stats["true_false"] += 1
+            else:
+                conversion_stats["other"] += 1
+            
+            # 转换题目
+            converted = convert_to_target_format(question)
+            if converted:
+                converted_questions.append(converted)
+                conversion_stats["converted"] += 1
+            else:
+                conversion_stats["failed"] += 1
+                
+        except Exception as e:
+            print(f"第{i+1}题转换失败: {e}")
+            conversion_stats["failed"] += 1
+    
+    print(f"转换完成: {conversion_stats['converted']} 道题目成功转换")
+    
+    # 对转换后的题目进行答案分布平衡
+    balance_info = None
+    if balance_answers and converted_questions:
+        print("\n正在对转换后的题目进行答案分布平衡...")
+        
+        balanced_questions, balance_info = balance_answer_distribution_by_shuffling(
+            converted_questions,
+            random_seed=random_seed
+        )
+        
+        converted_questions = balanced_questions
+        conversion_stats["final_count"] = len(converted_questions)
+    
+    # 保存结果
+    print("正在保存转换结果...")
+    
+    with open(output_file, 'w', encoding='utf-8') as f:
+        json.dump(converted_questions, f, ensure_ascii=False, indent=2)
+    
+    # 打印最终统计信息
+    print(f"\n=== 转换完成！===")
+    print(f"选中题目数: {conversion_stats['selected']}")
+    print(f"单选题: {conversion_stats['multiple_choice']}")
+    print(f"判断题: {conversion_stats['true_false']}")
+    print(f"其他类型: {conversion_stats['other']}")
+    print(f"成功转换: {conversion_stats['converted']}")
+    print(f"转换失败: {conversion_stats['failed']}")
+    
+    if balance_answers and balance_info:
+        print(f"答案平衡后: {conversion_stats.get('final_count', conversion_stats['converted'])}")
+        print(f"调整题目数: {balance_info['adjustments_made']}")
+        print(f"最终转换率: {conversion_stats.get('final_count', conversion_stats['converted'])/conversion_stats['selected']*100:.1f}%")
+    else:
+        print(f"最终转换率: {conversion_stats['converted']/conversion_stats['selected']*100:.1f}%")
+    
+    print(f"结果已保存到: {output_file}")
+
+def validate_converted_questions(questions: List[Dict[str, Any]]) -> Dict[str, int]:
+    """
+    验证转换后的题目格式
+    """
+    stats = {
+        "total": len(questions),
+        "valid": 0,
+        "invalid": 0,
+        "missing_question": 0,
+        "invalid_choices": 0,
+        "invalid_answer": 0
+    }
+    
+    for i, q in enumerate(questions):
+        is_valid = True
+        
+        # 检查question字段
+        if not q.get("question", "").strip():
+            stats["missing_question"] += 1
+            is_valid = False
+        
+        # 检查choices字段
+        choices = q.get("choices", {})
+        text_list = choices.get("text", [])
+        label_list = choices.get("label", [])
+        
+        if (len(text_list) != 4 or len(label_list) != 4 or 
+            label_list != ["A", "B", "C", "D"] or
+            any(not str(text).strip() for text in text_list)):
+            stats["invalid_choices"] += 1
+            is_valid = False
+        
+        # 检查answer字段
+        answer = q.get("answer", "")
+        if not (answer.startswith("[ANSWER]") and answer.endswith("[/ANSWER]") and
+                answer[8:-9] in ["A", "B", "C", "D"]):
+            stats["invalid_answer"] += 1
+            is_valid = False
+        
+        if is_valid:
+            stats["valid"] += 1
+        else:
+            stats["invalid"] += 1
+    
+    return stats
+
+def main():
+    """主函数"""
+    # 文件路径配置
+    INPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepy_complete_choice_questions_with_sampling.json"
+    OUTPUT_FILE = "/home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepz_final_choice_questions_filtered_only_hard.json"
+    
+    # 难度选择比例配置
+    SELECTION_RATIOS = {
+        "hard_early_stop": 1.0,     # 困难题选择10%
+        "easy_all_correct": 0.0,  # 简单题选择3.5%
+        "mixed": 0.0,               # 混合题选择0%
+        "unknown": 0.0              # 未知难度不选择
+    }
+    
+    # 随机种子，保证结果可复现
+    RANDOM_SEED = 42
+    
+    # 是否启用答案平衡
+    BALANCE_ANSWERS = True
+    
+    try:
+        # 显示配置信息
+        print("=== 难度筛选配置 ===")
+        print("选择比例:")
+        for difficulty, ratio in SELECTION_RATIOS.items():
+            print(f"  {difficulty}: {ratio*100:.1f}%")
+        print(f"随机种子: {RANDOM_SEED}")
+        print(f"启用答案平衡: {BALANCE_ANSWERS}")
+        print()
+        
+        # 批量转换（包含难度筛选和答案平衡）
+        batch_convert_questions_with_difficulty_filter(
+            INPUT_FILE, 
+            OUTPUT_FILE, 
+            SELECTION_RATIOS,
+            balance_answers=BALANCE_ANSWERS,
+            random_seed=RANDOM_SEED
+        )
+        
+        # 验证转换结果
+        print("\n正在验证转换结果...")
+        with open(OUTPUT_FILE, 'r', encoding='utf-8') as f:
+            result_data = json.load(f)
+        
+        validation_stats = validate_converted_questions(result_data)
+        
+        print(f"\n=== 验证结果 ===")
+        print(f"总题目数: {validation_stats['total']}")
+        print(f"格式正确: {validation_stats['valid']}")
+        print(f"格式错误: {validation_stats['invalid']}")
+        
+        if validation_stats['invalid'] > 0:
+            print(f"  缺少题目: {validation_stats['missing_question']}")
+            print(f"  选项格式错误: {validation_stats['invalid_choices']}")
+            print(f"  答案格式错误: {validation_stats['invalid_answer']}")
+        
+        print(f"格式正确率: {validation_stats['valid']/validation_stats['total']*100:.1f}%")
+        
+        # 验证最终答案分布
+        if BALANCE_ANSWERS:
+            print(f"\n=== 最终答案分布验证 ===")
+            final_answers = []
+            for q in result_data:
+                answer = extract_answer_from_question(q)
+                if answer:
+                    final_answers.append(answer)
+            
+            final_counter = Counter(final_answers)
+            total = len(final_answers)
+            
+            for answer in ["A", "B", "C", "D"]:
+                count = final_counter.get(answer, 0)
+                ratio = count / total if total > 0 else 0
+                print(f"  {answer}: {count} ({ratio*100:.1f}%)")
+        
+    except Exception as e:
+        print(f"程序执行失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    main()

logs/evaluation_20250528_1530.log

@@ -1,40 +0,0 @@
-2025-05-28 15:30:36,536 - __main__ - INFO - Starting multi-model evaluation framework
-2025-05-28 15:30:36,536 - __main__ - INFO - Using models from config: ['qwen-max-2025-01-25', 'gpt-4o']
-2025-05-28 15:30:36,543 - __main__ - INFO - Output directory: results/20250528_1530
-2025-05-28 15:30:36,543 - __main__ - INFO - Loading data from /home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json
-2025-05-28 15:30:36,568 - src.data_loader - INFO - Successfully loaded 3023 items from /home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json
-2025-05-28 15:30:36,569 - src.data_loader - INFO - Validated 3023 out of 3023 items
-2025-05-28 15:30:36,569 - __main__ - INFO - Loaded 3023 valid data items
-2025-05-28 15:30:36,569 - __main__ - INFO - Evaluating model 1/2: qwen-max-2025-01-25
-2025-05-28 15:30:36,569 - __main__ - INFO - Starting evaluation for model: qwen-max-2025-01-25
-2025-05-28 15:30:36,595 - src.evaluator - INFO - Starting evaluation with 8 workers
-2025-05-28 15:30:38,447 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:38,461 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:38,485 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:38,499 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:38,503 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:38,549 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:38,613 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:38,630 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:39,998 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:40,267 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:40,287 - src.metrics - INFO - Metrics computed successfully
-2025-05-28 15:30:40,288 - src.evaluator - INFO - Evaluation completed successfully
-2025-05-28 15:30:40,302 - __main__ - INFO - Model qwen-max-2025-01-25 evaluation completed. Results saved to results/20250528_1530/qwen-max-2025-01-25.json
-2025-05-28 15:30:40,302 - __main__ - INFO - Evaluating model 2/2: gpt-4o
-2025-05-28 15:30:40,302 - __main__ - INFO - Starting evaluation for model: gpt-4o
-2025-05-28 15:30:40,352 - src.evaluator - INFO - Starting evaluation with 8 workers
-2025-05-28 15:30:41,778 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:41,794 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:41,826 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,016 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,026 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,040 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,041 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,076 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,295 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,313 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:30:42,323 - src.metrics - INFO - Metrics computed successfully
-2025-05-28 15:30:42,323 - src.evaluator - INFO - Evaluation completed successfully
-2025-05-28 15:30:42,333 - __main__ - INFO - Model gpt-4o evaluation completed. Results saved to results/20250528_1530/gpt-4o.json
-2025-05-28 15:30:42,333 - __main__ - ERROR - Evaluation failed: 'summary_filename'

logs/evaluation_20250528_1531.log

@@ -1,41 +0,0 @@
-2025-05-28 15:31:25,896 - __main__ - INFO - Starting multi-model evaluation framework
-2025-05-28 15:31:25,896 - __main__ - INFO - Using models from config: ['qwen-max-2025-01-25', 'gpt-4o']
-2025-05-28 15:31:25,899 - __main__ - INFO - Output directory: results/20250528_1531
-2025-05-28 15:31:25,899 - __main__ - INFO - Loading data from /home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json
-2025-05-28 15:31:25,925 - src.data_loader - INFO - Successfully loaded 3023 items from /home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json
-2025-05-28 15:31:25,927 - src.data_loader - INFO - Validated 3023 out of 3023 items
-2025-05-28 15:31:25,927 - __main__ - INFO - Loaded 3023 valid data items
-2025-05-28 15:31:25,927 - __main__ - INFO - Evaluating model 1/2: qwen-max-2025-01-25
-2025-05-28 15:31:25,927 - __main__ - INFO - Starting evaluation for model: qwen-max-2025-01-25
-2025-05-28 15:31:25,952 - src.evaluator - INFO - Starting evaluation with 8 workers
-2025-05-28 15:31:28,342 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:28,434 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:28,444 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:28,459 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:28,474 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:28,532 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:28,538 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:28,703 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:30,085 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:30,353 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:30,374 - src.metrics - INFO - Metrics computed successfully
-2025-05-28 15:31:30,374 - src.evaluator - INFO - Evaluation completed successfully
-2025-05-28 15:31:30,387 - __main__ - INFO - Model qwen-max-2025-01-25 evaluation completed. Results saved to results/20250528_1531/qwen-max-2025-01-25.json
-2025-05-28 15:31:30,387 - __main__ - INFO - Evaluating model 2/2: gpt-4o
-2025-05-28 15:31:30,387 - __main__ - INFO - Starting evaluation for model: gpt-4o
-2025-05-28 15:31:30,436 - src.evaluator - INFO - Starting evaluation with 8 workers
-2025-05-28 15:31:31,874 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:31,886 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:32,119 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:32,139 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:32,140 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:32,144 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:32,162 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:32,449 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:32,539 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:38,330 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:31:38,351 - src.metrics - INFO - Metrics computed successfully
-2025-05-28 15:31:38,351 - src.evaluator - INFO - Evaluation completed successfully
-2025-05-28 15:31:38,366 - __main__ - INFO - Model gpt-4o evaluation completed. Results saved to results/20250528_1531/gpt-4o.json
-2025-05-28 15:31:38,372 - __main__ - INFO - Summary saved to results/20250528_1531/summary.json
-2025-05-28 15:31:38,372 - __main__ - INFO - Multi-model evaluation completed successfully

logs/evaluation_20250528_1535.log

@@ -1,44 +0,0 @@
-2025-05-28 15:35:59,778 - __main__ - INFO - Starting multi-model evaluation framework
-2025-05-28 15:35:59,779 - __main__ - INFO - Using models from config: ['qwen-max-2025-01-25', 'gpt-4o']
-2025-05-28 15:35:59,782 - __main__ - INFO - Output directory: results/20250528_1535
-2025-05-28 15:35:59,782 - __main__ - INFO - Loading data from /home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json
-2025-05-28 15:35:59,808 - src.data_loader - INFO - Successfully loaded 3023 items from /home/ubuntu/50T/LYT/MatBench/layer1/ALL-merge/merged.json
-2025-05-28 15:35:59,809 - src.data_loader - INFO - Validated 3023 out of 3023 items
-2025-05-28 15:35:59,809 - __main__ - INFO - Loaded 3023 valid data items
-2025-05-28 15:35:59,809 - __main__ - INFO - Evaluating model 1/2: qwen-max-2025-01-25
-2025-05-28 15:35:59,809 - __main__ - INFO - Starting evaluation for model: qwen-max-2025-01-25
-2025-05-28 15:35:59,835 - src.evaluator - INFO - Starting evaluation with 8 workers
-2025-05-28 15:36:01,694 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:01,780 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:01,787 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:01,809 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:01,853 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:01,876 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:01,910 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:02,847 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:02,950 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:03,432 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:03,454 - src.metrics - INFO - Metrics computed successfully
-2025-05-28 15:36:03,454 - src.evaluator - INFO - Evaluation completed successfully
-2025-05-28 15:36:03,477 - __main__ - INFO - Model qwen-max-2025-01-25 evaluation completed. Results saved to results/20250528_1535/qwen-max-2025-01-25.json
-2025-05-28 15:36:03,480 - __main__ - INFO - Evaluating model 2/2: gpt-4o
-2025-05-28 15:36:03,481 - __main__ - INFO - Starting evaluation for model: gpt-4o
-2025-05-28 15:36:03,534 - src.evaluator - INFO - Starting evaluation with 8 workers
-2025-05-28 15:36:04,874 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:04,895 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:04,901 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:04,920 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:04,930 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:04,950 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:04,952 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:04,952 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:05,474 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:05,495 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
-2025-05-28 15:36:05,514 - src.metrics - INFO - Metrics computed successfully
-2025-05-28 15:36:05,515 - src.evaluator - INFO - Evaluation completed successfully
-2025-05-28 15:36:05,532 - __main__ - INFO - Model gpt-4o evaluation completed. Results saved to results/20250528_1535/gpt-4o.json
-2025-05-28 15:36:05,564 - root - WARNING - openpyxl not installed, skipping Excel export
-2025-05-28 15:36:05,564 - root - INFO - Summary saved to results/20250528_1535/summary.json
-2025-05-28 15:36:05,564 - root - INFO - CSV summary saved to results/20250528_1535/summary.csv
-2025-05-28 15:36:05,568 - __main__ - INFO - Summary saved to results/20250528_1535/summary.json
-2025-05-28 15:36:05,568 - __main__ - INFO - Multi-model evaluation completed successfully

logs/evaluation_20250602_1706.log

@@ -0,0 +1,823 @@
+2025-06-02 17:06:22,367 - __main__ - INFO - Starting multi-model evaluation framework
+2025-06-02 17:06:22,367 - __main__ - INFO - Using models from config: ['qwen-max-2025-01-25', 'gpt-4o', 'deepseek-chat', 'claude-sonnet-4-20250514']
+2025-06-02 17:06:22,375 - __main__ - INFO - Output directory: results/20250602_1706
+2025-06-02 17:06:22,375 - __main__ - INFO - Loading data from /home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepz_final_choice_questions_filtered.json
+2025-06-02 17:06:22,383 - src.data_loader - INFO - Successfully loaded 197 items from /home/ubuntu/50T/LYT/MatBench/layer2/PGEE/code/stepz_final_choice_questions_filtered.json
+2025-06-02 17:06:22,383 - src.data_loader - INFO - Validated 197 out of 197 items
+2025-06-02 17:06:22,383 - __main__ - INFO - Loaded 197 valid data items
+2025-06-02 17:06:22,383 - __main__ - INFO - Evaluating model 1/4: qwen-max-2025-01-25
+2025-06-02 17:06:22,383 - __main__ - INFO - Starting evaluation for model: qwen-max-2025-01-25
+2025-06-02 17:06:22,397 - src.evaluator - INFO - Starting evaluation with 20 workers
+2025-06-02 17:06:27,556 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:28,067 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:28,083 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:29,235 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:29,580 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:30,505 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:30,927 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:31,133 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:32,566 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:33,931 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:33,975 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:34,202 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:34,535 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:34,651 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:35,604 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:35,674 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:35,850 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:36,938 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:37,850 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:39,253 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:39,873 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:40,638 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:40,905 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:41,205 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:42,082 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:42,084 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:42,278 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:42,320 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:44,775 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:44,966 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:45,105 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:45,124 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:45,379 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:47,826 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:48,141 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:49,054 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:49,407 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:50,257 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:50,816 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:50,916 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:53,824 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:54,561 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:56,255 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:56,377 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:56,757 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:57,682 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:58,631 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:59,155 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:06:59,336 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:00,072 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:00,698 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:01,346 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:01,703 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:02,402 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:03,950 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:05,043 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:06,978 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:07,273 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:08,481 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:09,901 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:09,926 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:11,147 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:12,260 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:13,947 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:14,365 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:14,848 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:15,525 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:16,906 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:18,510 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:18,512 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:18,900 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:19,968 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:20,000 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:20,875 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:21,000 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:21,438 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:21,867 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:23,150 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:23,208 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:23,496 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:23,746 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:24,163 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:24,490 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:25,599 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:25,830 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:25,872 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:26,360 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:27,368 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:31,526 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:31,655 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:32,287 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:33,964 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:34,321 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:36,604 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:36,804 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:36,898 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:37,168 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:37,843 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:39,394 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:40,203 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:40,313 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:40,380 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:40,732 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:40,884 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:41,842 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:43,360 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:43,858 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:44,498 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:45,213 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:45,689 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:46,445 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:47,758 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:48,461 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:49,233 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:50,428 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:53,021 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:53,065 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:53,991 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:55,105 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:55,609 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:57,173 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:57,914 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:57,946 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:58,589 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:59,048 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:59,236 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:07:59,336 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:00,414 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:00,825 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:04,168 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:04,638 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:05,529 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:06,329 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:06,668 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:07,694 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:07,723 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:09,602 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:09,692 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:10,664 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:12,074 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:13,327 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:13,415 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:13,528 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:14,298 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:16,775 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:17,697 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:19,766 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:20,612 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:21,645 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:22,199 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:22,259 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:22,423 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:23,045 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:24,696 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:25,524 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:25,648 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:26,453 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:27,423 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:28,450 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:29,077 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:29,338 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:29,723 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:31,768 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:32,787 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:33,146 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:33,286 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:33,638 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:34,403 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:34,648 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:35,500 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:36,198 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:36,448 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:36,874 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:37,398 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:38,931 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:38,994 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:39,068 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:40,378 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:40,760 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:42,257 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:43,965 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:44,045 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:44,499 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:44,698 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:45,413 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:45,431 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:45,694 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:47,039 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:48,616 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:49,185 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:57,886 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:08:59,704 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:03,029 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:08,130 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:09,249 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:11,560 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:23,846 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:24,096 - src.metrics - INFO - Metrics computed successfully
+2025-06-02 17:09:24,098 - src.evaluator - INFO - Evaluation completed successfully
+2025-06-02 17:09:24,221 - __main__ - INFO - Model qwen-max-2025-01-25 evaluation completed. Results saved to results/20250602_1706/qwen-max-2025-01-25.json
+2025-06-02 17:09:24,225 - __main__ - INFO - Evaluating model 2/4: gpt-4o
+2025-06-02 17:09:24,226 - __main__ - INFO - Starting evaluation for model: gpt-4o
+2025-06-02 17:09:24,237 - src.evaluator - INFO - Starting evaluation with 20 workers
+2025-06-02 17:09:26,567 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:26,760 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:26,773 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:26,823 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:26,863 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:26,920 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:26,933 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:26,949 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:27,104 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:27,243 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:27,288 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:27,324 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:27,587 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:27,706 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:27,841 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:28,065 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:28,067 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:28,164 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:28,196 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:28,243 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:28,775 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:29,114 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:29,117 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:29,148 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:29,325 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:29,610 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:29,669 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:29,932 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:30,034 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:30,486 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:30,708 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:30,871 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:31,115 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:31,359 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:31,639 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:31,730 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:31,803 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:32,336 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:32,737 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:32,921 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:32,924 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:32,938 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:33,038 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:33,706 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:33,777 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:33,961 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,013 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,026 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,139 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,297 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,351 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,589 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,724 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,848 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:34,865 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:35,308 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:35,399 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:35,647 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:35,672 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:35,686 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:35,926 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:36,141 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:36,705 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:36,732 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:36,969 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:37,670 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:37,884 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:37,887 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:38,022 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:38,115 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:38,345 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:39,185 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:39,202 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:39,214 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:39,262 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:39,359 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:39,616 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:39,769 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:40,083 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:40,291 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:40,543 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:40,657 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:41,135 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:41,175 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:41,189 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:41,291 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:41,596 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:41,622 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:41,710 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:42,050 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:42,196 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:42,318 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:42,321 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:42,578 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:42,724 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:42,970 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:43,311 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:43,327 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:43,561 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:43,784 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:43,873 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:44,227 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:44,503 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:44,982 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,016 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,126 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,190 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,221 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,411 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,500 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,604 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:45,933 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:46,349 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:46,459 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:46,787 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:46,901 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:46,928 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:47,025 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:47,078 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:47,089 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:47,131 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:47,864 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:47,961 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:48,144 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:48,161 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:48,245 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:48,300 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:48,934 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:49,030 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,192 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,194 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,203 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,252 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,452 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,454 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,459 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:50,763 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:51,289 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:51,381 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:51,777 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:51,834 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:52,055 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:52,250 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:52,305 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:52,464 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:52,496 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:52,553 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:52,555 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,097 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,266 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,367 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,495 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,511 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,649 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,766 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,779 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,810 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,909 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:53,911 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:54,247 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:54,422 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:54,792 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:54,864 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:54,978 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:55,274 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:55,290 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:55,834 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:55,861 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:55,928 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:56,031 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:56,323 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:56,480 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:56,537 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:57,175 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:57,397 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:57,740 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:58,008 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:58,010 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:58,254 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:58,356 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:58,409 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:58,537 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:58,783 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:59,056 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:59,110 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:59,179 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:59,190 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:09:59,199 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:00,382 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:00,603 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:00,606 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:00,688 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:01,458 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:04,027 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:04,382 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:05,084 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:06,126 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:06,195 - src.metrics - INFO - Metrics computed successfully
+2025-06-02 17:10:06,196 - src.evaluator - INFO - Evaluation completed successfully
+2025-06-02 17:10:06,322 - __main__ - INFO - Model gpt-4o evaluation completed. Results saved to results/20250602_1706/gpt-4o.json
+2025-06-02 17:10:06,324 - __main__ - INFO - Evaluating model 3/4: deepseek-chat
+2025-06-02 17:10:06,325 - __main__ - INFO - Starting evaluation for model: deepseek-chat
+2025-06-02 17:10:06,337 - src.evaluator - INFO - Starting evaluation with 20 workers
+2025-06-02 17:10:14,175 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:14,676 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:14,999 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:15,243 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:15,535 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:16,332 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:16,988 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:18,787 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:19,008 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:20,456 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:20,572 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:20,593 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:20,933 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:21,496 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:21,626 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:21,642 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:22,437 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:22,965 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:23,906 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:24,801 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:25,880 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:27,693 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:29,599 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:31,688 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:32,170 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:32,713 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:32,874 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:33,633 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:34,144 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:34,451 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:35,599 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:36,176 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:37,368 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:38,398 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:38,464 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:39,129 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:40,059 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:40,664 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:40,666 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:42,099 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:42,664 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:43,724 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:45,162 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:46,733 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:48,045 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:48,914 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:49,596 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:50,158 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:50,503 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:50,711 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:50,729 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:53,213 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:53,260 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:53,580 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:54,922 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:55,271 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:55,721 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:58,319 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:10:58,551 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:03,062 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:03,629 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:03,698 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:03,802 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:05,296 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:05,729 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:07,539 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:08,059 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:08,762 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:09,200 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:09,689 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:09,780 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:12,117 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:12,149 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:12,266 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:13,327 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:15,324 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:16,121 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:16,393 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:16,662 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:17,062 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:18,199 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:19,246 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:19,371 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:19,963 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:21,835 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:23,968 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:24,435 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:25,015 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:25,068 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:25,228 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:25,573 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:27,025 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:27,175 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:27,452 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:28,007 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:28,678 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:30,475 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:30,752 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:32,818 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:32,851 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:33,668 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:34,634 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:35,885 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:38,443 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:38,794 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:39,096 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:40,712 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:40,756 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:40,840 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:41,311 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:42,043 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:42,593 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:42,695 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:44,777 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:47,394 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:47,773 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:48,054 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:48,503 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:48,997 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:49,029 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:50,701 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:51,891 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:52,709 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:54,569 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:54,736 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:54,739 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:54,896 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:55,848 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:56,348 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:56,929 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:57,619 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:58,070 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:11:59,492 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:00,645 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:01,555 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:02,216 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:04,727 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:05,112 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:05,832 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:06,114 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:06,328 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:06,514 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:06,530 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:06,841 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:09,543 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:09,815 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:11,223 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:12,259 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:13,900 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:14,486 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:15,390 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:16,015 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:16,916 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:18,076 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:21,148 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:21,885 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:22,544 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:23,156 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:24,151 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:24,209 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:25,215 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:25,755 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:25,970 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:27,300 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:27,815 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:28,303 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:29,098 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:30,417 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:30,847 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:32,608 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:32,689 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:32,701 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:32,901 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:33,983 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:34,628 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:37,382 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:38,602 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:40,085 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:41,082 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:41,310 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:41,532 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:42,148 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:42,681 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:43,604 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:43,919 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:44,574 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:44,646 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:45,770 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:47,420 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:48,816 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:49,959 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:52,279 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:53,424 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:59,771 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:12:59,802 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:01,793 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:08,510 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:08,580 - src.metrics - INFO - Metrics computed successfully
+2025-06-02 17:13:08,581 - src.evaluator - INFO - Evaluation completed successfully
+2025-06-02 17:13:08,712 - __main__ - INFO - Model deepseek-chat evaluation completed. Results saved to results/20250602_1706/deepseek-chat.json
+2025-06-02 17:13:08,714 - __main__ - INFO - Evaluating model 4/4: claude-sonnet-4-20250514
+2025-06-02 17:13:08,715 - __main__ - INFO - Starting evaluation for model: claude-sonnet-4-20250514
+2025-06-02 17:13:08,726 - src.evaluator - INFO - Starting evaluation with 20 workers
+2025-06-02 17:13:18,120 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:18,308 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:18,972 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:19,506 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:19,790 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:20,070 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:20,129 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:20,773 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:22,992 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:23,429 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:23,695 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:25,992 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:27,120 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:27,215 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:28,188 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:28,627 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:28,642 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:28,900 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:29,068 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:29,926 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:31,295 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:31,641 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:32,637 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:33,734 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:35,334 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:35,636 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:35,949 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:36,367 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:36,622 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:38,493 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:39,060 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:40,029 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:40,998 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:41,920 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:43,149 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:43,253 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:44,215 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:44,819 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:45,945 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:46,359 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:46,575 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:48,250 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:48,344 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:49,232 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:49,375 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:50,233 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:50,442 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:51,208 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:51,497 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:53,654 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:53,671 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:55,609 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:55,706 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:56,709 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:57,206 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:57,697 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:57,773 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:58,546 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:58,777 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:59,365 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:13:59,554 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:00,390 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:00,547 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:01,556 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:02,049 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:03,059 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:05,096 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:05,138 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:05,240 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:05,267 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:07,179 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:07,543 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:08,209 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:08,991 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:09,237 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:09,774 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:11,124 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:11,789 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:12,641 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:12,976 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:13,419 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:13,662 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:14,242 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:15,080 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:15,197 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:15,368 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:15,820 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:16,260 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:16,304 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:16,532 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:17,313 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:18,532 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:19,372 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:21,172 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:21,818 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:22,137 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:23,878 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:24,654 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:25,249 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:25,641 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:26,055 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:26,174 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:27,143 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:27,285 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:27,960 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:28,337 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:28,470 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:28,643 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:29,530 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:30,163 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:30,375 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:32,492 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:33,179 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:34,128 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:34,403 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:34,471 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:35,144 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:35,952 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:36,063 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:36,400 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:37,603 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:37,642 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:38,343 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:38,764 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:39,279 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:39,534 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:40,513 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:41,275 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:41,815 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:42,309 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:42,437 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:42,933 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:43,157 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:45,237 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:45,463 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:45,480 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:47,039 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:47,211 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:47,708 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:48,054 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:50,469 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:50,500 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:50,857 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:50,995 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:51,513 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:52,638 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:52,743 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:54,371 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:54,920 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:56,186 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:56,442 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:56,573 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:57,630 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:57,939 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:14:58,855 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:00,158 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:00,336 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:01,376 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:01,745 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:02,322 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:02,799 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:02,987 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:03,913 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:04,841 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:04,916 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:05,938 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:07,171 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:07,538 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:08,331 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:08,450 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:08,890 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:09,244 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:10,100 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:10,193 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:11,819 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:12,556 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:12,689 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:12,844 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:12,853 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:15,530 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:16,004 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:16,583 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:18,095 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:18,100 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:18,141 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:18,185 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:18,299 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:18,738 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:19,249 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:19,507 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:19,520 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:20,020 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:20,669 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:21,432 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:21,656 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:21,877 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:23,523 - httpx - INFO - HTTP Request: POST https://vip.apiyi.com/v1/chat/completions "HTTP/1.1 200 OK"
+2025-06-02 17:15:23,594 - src.metrics - INFO - Metrics computed successfully
+2025-06-02 17:15:23,595 - src.evaluator - INFO - Evaluation completed successfully
+2025-06-02 17:15:23,731 - __main__ - INFO - Model claude-sonnet-4-20250514 evaluation completed. Results saved to results/20250602_1706/claude-sonnet-4-20250514.json
+2025-06-02 17:15:24,077 - root - INFO - Summary saved to results/20250602_1706/summary.json
+2025-06-02 17:15:24,077 - root - INFO - CSV summary saved to results/20250602_1706/summary.csv
+2025-06-02 17:15:24,084 - __main__ - INFO - Summary saved to results/20250602_1706/summary.json
+2025-06-02 17:15:24,085 - __main__ - INFO - Multi-model evaluation completed successfully

results/20250528_1530/gpt-4o.json

@@ -1,202 +0,0 @@
-[
-  {
-    "index": 0,
-    "question": "Copper is an element that is used in electrical wires. What is the smallest unit of copper that still maintains the characteristics of copper?",
-    "choices": {
-      "text": [
-        "the atom",
-        "the electron",
-        "the nucleus",
-        "the proton"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 1,
-    "question": "Which statement correctly describes a property of a type of matter?",
-    "choices": {
-      "text": [
-        "Air is a mixture of gases.",
-        "Ice is a mixture of gases.",
-        "Air is a liquid.",
-        "Ice is a liquid."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 2,
-    "question": "Which statement best explains why a tree branch floats on water?",
-    "choices": {
-      "text": [
-        "Wood is porous.",
-        "Wood is buoyant.",
-        "Wood is light.",
-        "Wood is magnetic."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 3,
-    "question": "The best way to separate salt from water is with the use of",
-    "choices": {
-      "text": [
-        "oil.",
-        "heat.",
-        "a magnet.",
-        "rubbing alcohol."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 4,
-    "question": "The speed of a sound wave varies as it travels through different substances. Which factor will most affect the speed of a sound wave?",
-    "choices": {
-      "text": [
-        "the frequency of the wave",
-        "the wavelength of the wave",
-        "the source that created the sound",
-        "the distance between molecules in the medium"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]D[/ANSWER]",
-    "llm_answer": "[ANSWER]D[/ANSWER]"
-  },
-  {
-    "index": 5,
-    "question": "Some students are performing hardness tests on several substances. X scratches Y. Y scratches Z. Z scratches W. Which of these statements best describes substance W's hardness?",
-    "choices": {
-      "text": [
-        "W is the softest of the four substances tested.",
-        "W is the hardest of the four substances tested.",
-        "W can scratch Y.",
-        "W can scratch X."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 6,
-    "question": "When the temperature of a sample of 25 water is -5°C, the water is",
-    "choices": {
-      "text": [
-        "a gas.",
-        "a liquid.",
-        "a solid.",
-        "a vapor."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 7,
-    "question": "Which is most useful to a student who is separating aluminum screws from steel screws?",
-    "choices": {
-      "text": [
-        "a large funnel",
-        "a screen filter",
-        "a horseshoe magnet",
-        "a magnifying glass"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 8,
-    "question": "How are sedimentary rocks made?",
-    "choices": {
-      "text": [
-        "Magma or lava is cooled.",
-        "Materials are pressed together.",
-        "Chemical reactions change minerals.",
-        "Earthquakes cause small pieces to fall."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 9,
-    "question": "A polished metal ball looks very shiny and bright on a sunny day. What makes the ball look shiny?",
-    "choices": {
-      "text": [
-        "The ball makes light.",
-        "The ball reflects light.",
-        "The ball absorbs light and then releases it.",
-        "The ball absorbs light and keeps it inside."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  }
-]

results/20250528_1530/gpt-4o_metrics.json

@@ -1,12 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:30:42.329641",
-  "metrics": {
-    "accuracy": 1.0,
-    "precision_micro": 1.0,
-    "recall_micro": 1.0,
-    "f1_micro": 1.0,
-    "precision_macro": 1.0,
-    "recall_macro": 1.0,
-    "f1_macro": 1.0
-  }
-}

results/20250528_1530/qwen-max-2025-01-25.json

@@ -1,202 +0,0 @@
-[
-  {
-    "index": 0,
-    "question": "Copper is an element that is used in electrical wires. What is the smallest unit of copper that still maintains the characteristics of copper?",
-    "choices": {
-      "text": [
-        "the atom",
-        "the electron",
-        "the nucleus",
-        "the proton"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 1,
-    "question": "Which statement correctly describes a property of a type of matter?",
-    "choices": {
-      "text": [
-        "Air is a mixture of gases.",
-        "Ice is a mixture of gases.",
-        "Air is a liquid.",
-        "Ice is a liquid."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 2,
-    "question": "Which statement best explains why a tree branch floats on water?",
-    "choices": {
-      "text": [
-        "Wood is porous.",
-        "Wood is buoyant.",
-        "Wood is light.",
-        "Wood is magnetic."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 3,
-    "question": "The best way to separate salt from water is with the use of",
-    "choices": {
-      "text": [
-        "oil.",
-        "heat.",
-        "a magnet.",
-        "rubbing alcohol."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 4,
-    "question": "The speed of a sound wave varies as it travels through different substances. Which factor will most affect the speed of a sound wave?",
-    "choices": {
-      "text": [
-        "the frequency of the wave",
-        "the wavelength of the wave",
-        "the source that created the sound",
-        "the distance between molecules in the medium"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]D[/ANSWER]",
-    "llm_answer": "[ANSWER]D[/ANSWER]"
-  },
-  {
-    "index": 5,
-    "question": "Some students are performing hardness tests on several substances. X scratches Y. Y scratches Z. Z scratches W. Which of these statements best describes substance W's hardness?",
-    "choices": {
-      "text": [
-        "W is the softest of the four substances tested.",
-        "W is the hardest of the four substances tested.",
-        "W can scratch Y.",
-        "W can scratch X."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 6,
-    "question": "When the temperature of a sample of 25 water is -5°C, the water is",
-    "choices": {
-      "text": [
-        "a gas.",
-        "a liquid.",
-        "a solid.",
-        "a vapor."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 7,
-    "question": "Which is most useful to a student who is separating aluminum screws from steel screws?",
-    "choices": {
-      "text": [
-        "a large funnel",
-        "a screen filter",
-        "a horseshoe magnet",
-        "a magnifying glass"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 8,
-    "question": "How are sedimentary rocks made?",
-    "choices": {
-      "text": [
-        "Magma or lava is cooled.",
-        "Materials are pressed together.",
-        "Chemical reactions change minerals.",
-        "Earthquakes cause small pieces to fall."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 9,
-    "question": "A polished metal ball looks very shiny and bright on a sunny day. What makes the ball look shiny?",
-    "choices": {
-      "text": [
-        "The ball makes light.",
-        "The ball reflects light.",
-        "The ball absorbs light and then releases it.",
-        "The ball absorbs light and keeps it inside."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  }
-]

results/20250528_1530/qwen-max-2025-01-25_metrics.json

@@ -1,12 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:30:40.296801",
-  "metrics": {
-    "accuracy": 1.0,
-    "precision_micro": 1.0,
-    "recall_micro": 1.0,
-    "f1_micro": 1.0,
-    "precision_macro": 1.0,
-    "recall_macro": 1.0,
-    "f1_macro": 1.0
-  }
-}

results/20250528_1531/gpt-4o.json

@@ -1,202 +0,0 @@
-[
-  {
-    "index": 0,
-    "question": "Copper is an element that is used in electrical wires. What is the smallest unit of copper that still maintains the characteristics of copper?",
-    "choices": {
-      "text": [
-        "the atom",
-        "the electron",
-        "the nucleus",
-        "the proton"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 1,
-    "question": "Which statement correctly describes a property of a type of matter?",
-    "choices": {
-      "text": [
-        "Air is a mixture of gases.",
-        "Ice is a mixture of gases.",
-        "Air is a liquid.",
-        "Ice is a liquid."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 2,
-    "question": "Which statement best explains why a tree branch floats on water?",
-    "choices": {
-      "text": [
-        "Wood is porous.",
-        "Wood is buoyant.",
-        "Wood is light.",
-        "Wood is magnetic."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 3,
-    "question": "The best way to separate salt from water is with the use of",
-    "choices": {
-      "text": [
-        "oil.",
-        "heat.",
-        "a magnet.",
-        "rubbing alcohol."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 4,
-    "question": "The speed of a sound wave varies as it travels through different substances. Which factor will most affect the speed of a sound wave?",
-    "choices": {
-      "text": [
-        "the frequency of the wave",
-        "the wavelength of the wave",
-        "the source that created the sound",
-        "the distance between molecules in the medium"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]D[/ANSWER]",
-    "llm_answer": "[ANSWER]D[/ANSWER]"
-  },
-  {
-    "index": 5,
-    "question": "Some students are performing hardness tests on several substances. X scratches Y. Y scratches Z. Z scratches W. Which of these statements best describes substance W's hardness?",
-    "choices": {
-      "text": [
-        "W is the softest of the four substances tested.",
-        "W is the hardest of the four substances tested.",
-        "W can scratch Y.",
-        "W can scratch X."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 6,
-    "question": "When the temperature of a sample of 25 water is -5°C, the water is",
-    "choices": {
-      "text": [
-        "a gas.",
-        "a liquid.",
-        "a solid.",
-        "a vapor."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 7,
-    "question": "Which is most useful to a student who is separating aluminum screws from steel screws?",
-    "choices": {
-      "text": [
-        "a large funnel",
-        "a screen filter",
-        "a horseshoe magnet",
-        "a magnifying glass"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 8,
-    "question": "How are sedimentary rocks made?",
-    "choices": {
-      "text": [
-        "Magma or lava is cooled.",
-        "Materials are pressed together.",
-        "Chemical reactions change minerals.",
-        "Earthquakes cause small pieces to fall."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 9,
-    "question": "A polished metal ball looks very shiny and bright on a sunny day. What makes the ball look shiny?",
-    "choices": {
-      "text": [
-        "The ball makes light.",
-        "The ball reflects light.",
-        "The ball absorbs light and then releases it.",
-        "The ball absorbs light and keeps it inside."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  }
-]

results/20250528_1531/gpt-4o_metrics.json

@@ -1,12 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:31:38.361064",
-  "metrics": {
-    "accuracy": 1.0,
-    "precision_micro": 1.0,
-    "recall_micro": 1.0,
-    "f1_micro": 1.0,
-    "precision_macro": 1.0,
-    "recall_macro": 1.0,
-    "f1_macro": 1.0
-  }
-}

results/20250528_1531/qwen-max-2025-01-25.json

@@ -1,202 +0,0 @@
-[
-  {
-    "index": 0,
-    "question": "Copper is an element that is used in electrical wires. What is the smallest unit of copper that still maintains the characteristics of copper?",
-    "choices": {
-      "text": [
-        "the atom",
-        "the electron",
-        "the nucleus",
-        "the proton"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 1,
-    "question": "Which statement correctly describes a property of a type of matter?",
-    "choices": {
-      "text": [
-        "Air is a mixture of gases.",
-        "Ice is a mixture of gases.",
-        "Air is a liquid.",
-        "Ice is a liquid."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 2,
-    "question": "Which statement best explains why a tree branch floats on water?",
-    "choices": {
-      "text": [
-        "Wood is porous.",
-        "Wood is buoyant.",
-        "Wood is light.",
-        "Wood is magnetic."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 3,
-    "question": "The best way to separate salt from water is with the use of",
-    "choices": {
-      "text": [
-        "oil.",
-        "heat.",
-        "a magnet.",
-        "rubbing alcohol."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 4,
-    "question": "The speed of a sound wave varies as it travels through different substances. Which factor will most affect the speed of a sound wave?",
-    "choices": {
-      "text": [
-        "the frequency of the wave",
-        "the wavelength of the wave",
-        "the source that created the sound",
-        "the distance between molecules in the medium"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]D[/ANSWER]",
-    "llm_answer": "[ANSWER]D[/ANSWER]"
-  },
-  {
-    "index": 5,
-    "question": "Some students are performing hardness tests on several substances. X scratches Y. Y scratches Z. Z scratches W. Which of these statements best describes substance W's hardness?",
-    "choices": {
-      "text": [
-        "W is the softest of the four substances tested.",
-        "W is the hardest of the four substances tested.",
-        "W can scratch Y.",
-        "W can scratch X."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 6,
-    "question": "When the temperature of a sample of 25 water is -5°C, the water is",
-    "choices": {
-      "text": [
-        "a gas.",
-        "a liquid.",
-        "a solid.",
-        "a vapor."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 7,
-    "question": "Which is most useful to a student who is separating aluminum screws from steel screws?",
-    "choices": {
-      "text": [
-        "a large funnel",
-        "a screen filter",
-        "a horseshoe magnet",
-        "a magnifying glass"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 8,
-    "question": "How are sedimentary rocks made?",
-    "choices": {
-      "text": [
-        "Magma or lava is cooled.",
-        "Materials are pressed together.",
-        "Chemical reactions change minerals.",
-        "Earthquakes cause small pieces to fall."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 9,
-    "question": "A polished metal ball looks very shiny and bright on a sunny day. What makes the ball look shiny?",
-    "choices": {
-      "text": [
-        "The ball makes light.",
-        "The ball reflects light.",
-        "The ball absorbs light and then releases it.",
-        "The ball absorbs light and keeps it inside."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  }
-]

results/20250528_1531/qwen-max-2025-01-25_metrics.json

@@ -1,12 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:31:30.382105",
-  "metrics": {
-    "accuracy": 1.0,
-    "precision_micro": 1.0,
-    "recall_micro": 1.0,
-    "f1_micro": 1.0,
-    "precision_macro": 1.0,
-    "recall_macro": 1.0,
-    "f1_macro": 1.0
-  }
-}

results/20250528_1531/summary.json

@@ -1,60 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:31:38.366535",
-  "models_count": 2,
-  "models": {
-    "qwen-max-2025-01-25": {
-      "metrics": {
-        "accuracy": 1.0,
-        "precision_micro": 1.0,
-        "recall_micro": 1.0,
-        "f1_micro": 1.0,
-        "precision_macro": 1.0,
-        "recall_macro": 1.0,
-        "f1_macro": 1.0
-      },
-      "data_count": 10
-    },
-    "gpt-4o": {
-      "metrics": {
-        "accuracy": 1.0,
-        "precision_micro": 1.0,
-        "recall_micro": 1.0,
-        "f1_micro": 1.0,
-        "precision_macro": 1.0,
-        "recall_macro": 1.0,
-        "f1_macro": 1.0
-      },
-      "data_count": 10
-    }
-  },
-  "comparison": {
-    "accuracy": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "precision_micro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "recall_micro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "f1_micro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "precision_macro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "recall_macro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "f1_macro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    }
-  }
-}

results/20250528_1535/gpt-4o.json

@@ -1,202 +0,0 @@
-[
-  {
-    "index": 0,
-    "question": "Copper is an element that is used in electrical wires. What is the smallest unit of copper that still maintains the characteristics of copper?",
-    "choices": {
-      "text": [
-        "the atom",
-        "the electron",
-        "the nucleus",
-        "the proton"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 1,
-    "question": "Which statement correctly describes a property of a type of matter?",
-    "choices": {
-      "text": [
-        "Air is a mixture of gases.",
-        "Ice is a mixture of gases.",
-        "Air is a liquid.",
-        "Ice is a liquid."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 2,
-    "question": "Which statement best explains why a tree branch floats on water?",
-    "choices": {
-      "text": [
-        "Wood is porous.",
-        "Wood is buoyant.",
-        "Wood is light.",
-        "Wood is magnetic."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 3,
-    "question": "The best way to separate salt from water is with the use of",
-    "choices": {
-      "text": [
-        "oil.",
-        "heat.",
-        "a magnet.",
-        "rubbing alcohol."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 4,
-    "question": "The speed of a sound wave varies as it travels through different substances. Which factor will most affect the speed of a sound wave?",
-    "choices": {
-      "text": [
-        "the frequency of the wave",
-        "the wavelength of the wave",
-        "the source that created the sound",
-        "the distance between molecules in the medium"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]D[/ANSWER]",
-    "llm_answer": "[ANSWER]D[/ANSWER]"
-  },
-  {
-    "index": 5,
-    "question": "Some students are performing hardness tests on several substances. X scratches Y. Y scratches Z. Z scratches W. Which of these statements best describes substance W's hardness?",
-    "choices": {
-      "text": [
-        "W is the softest of the four substances tested.",
-        "W is the hardest of the four substances tested.",
-        "W can scratch Y.",
-        "W can scratch X."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 6,
-    "question": "When the temperature of a sample of 25 water is -5°C, the water is",
-    "choices": {
-      "text": [
-        "a gas.",
-        "a liquid.",
-        "a solid.",
-        "a vapor."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 7,
-    "question": "Which is most useful to a student who is separating aluminum screws from steel screws?",
-    "choices": {
-      "text": [
-        "a large funnel",
-        "a screen filter",
-        "a horseshoe magnet",
-        "a magnifying glass"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 8,
-    "question": "How are sedimentary rocks made?",
-    "choices": {
-      "text": [
-        "Magma or lava is cooled.",
-        "Materials are pressed together.",
-        "Chemical reactions change minerals.",
-        "Earthquakes cause small pieces to fall."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 9,
-    "question": "A polished metal ball looks very shiny and bright on a sunny day. What makes the ball look shiny?",
-    "choices": {
-      "text": [
-        "The ball makes light.",
-        "The ball reflects light.",
-        "The ball absorbs light and then releases it.",
-        "The ball absorbs light and keeps it inside."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  }
-]

results/20250528_1535/gpt-4o_metrics.json

@@ -1,12 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:36:05.524328",
-  "metrics": {
-    "accuracy": 1.0,
-    "precision_micro": 1.0,
-    "recall_micro": 1.0,
-    "f1_micro": 1.0,
-    "precision_macro": 1.0,
-    "recall_macro": 1.0,
-    "f1_macro": 1.0
-  }
-}

results/20250528_1535/qwen-max-2025-01-25.json

@@ -1,202 +0,0 @@
-[
-  {
-    "index": 0,
-    "question": "Copper is an element that is used in electrical wires. What is the smallest unit of copper that still maintains the characteristics of copper?",
-    "choices": {
-      "text": [
-        "the atom",
-        "the electron",
-        "the nucleus",
-        "the proton"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 1,
-    "question": "Which statement correctly describes a property of a type of matter?",
-    "choices": {
-      "text": [
-        "Air is a mixture of gases.",
-        "Ice is a mixture of gases.",
-        "Air is a liquid.",
-        "Ice is a liquid."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 2,
-    "question": "Which statement best explains why a tree branch floats on water?",
-    "choices": {
-      "text": [
-        "Wood is porous.",
-        "Wood is buoyant.",
-        "Wood is light.",
-        "Wood is magnetic."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 3,
-    "question": "The best way to separate salt from water is with the use of",
-    "choices": {
-      "text": [
-        "oil.",
-        "heat.",
-        "a magnet.",
-        "rubbing alcohol."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 4,
-    "question": "The speed of a sound wave varies as it travels through different substances. Which factor will most affect the speed of a sound wave?",
-    "choices": {
-      "text": [
-        "the frequency of the wave",
-        "the wavelength of the wave",
-        "the source that created the sound",
-        "the distance between molecules in the medium"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]D[/ANSWER]",
-    "llm_answer": "[ANSWER]D[/ANSWER]"
-  },
-  {
-    "index": 5,
-    "question": "Some students are performing hardness tests on several substances. X scratches Y. Y scratches Z. Z scratches W. Which of these statements best describes substance W's hardness?",
-    "choices": {
-      "text": [
-        "W is the softest of the four substances tested.",
-        "W is the hardest of the four substances tested.",
-        "W can scratch Y.",
-        "W can scratch X."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]A[/ANSWER]",
-    "llm_answer": "[ANSWER]A[/ANSWER]"
-  },
-  {
-    "index": 6,
-    "question": "When the temperature of a sample of 25 water is -5°C, the water is",
-    "choices": {
-      "text": [
-        "a gas.",
-        "a liquid.",
-        "a solid.",
-        "a vapor."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 7,
-    "question": "Which is most useful to a student who is separating aluminum screws from steel screws?",
-    "choices": {
-      "text": [
-        "a large funnel",
-        "a screen filter",
-        "a horseshoe magnet",
-        "a magnifying glass"
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]C[/ANSWER]",
-    "llm_answer": "[ANSWER]C[/ANSWER]"
-  },
-  {
-    "index": 8,
-    "question": "How are sedimentary rocks made?",
-    "choices": {
-      "text": [
-        "Magma or lava is cooled.",
-        "Materials are pressed together.",
-        "Chemical reactions change minerals.",
-        "Earthquakes cause small pieces to fall."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  },
-  {
-    "index": 9,
-    "question": "A polished metal ball looks very shiny and bright on a sunny day. What makes the ball look shiny?",
-    "choices": {
-      "text": [
-        "The ball makes light.",
-        "The ball reflects light.",
-        "The ball absorbs light and then releases it.",
-        "The ball absorbs light and keeps it inside."
-      ],
-      "label": [
-        "A",
-        "B",
-        "C",
-        "D"
-      ]
-    },
-    "answer": "[ANSWER]B[/ANSWER]",
-    "llm_answer": "[ANSWER]B[/ANSWER]"
-  }
-]

results/20250528_1535/qwen-max-2025-01-25_metrics.json

@@ -1,12 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:36:03.466534",
-  "metrics": {
-    "accuracy": 1.0,
-    "precision_micro": 1.0,
-    "recall_micro": 1.0,
-    "f1_micro": 1.0,
-    "precision_macro": 1.0,
-    "recall_macro": 1.0,
-    "f1_macro": 1.0
-  }
-}

results/20250528_1535/summary.csv

@@ -1,3 +0,0 @@
-Model,accuracy,precision_micro,recall_micro,f1_micro,precision_macro,recall_macro,f1_macro,Data Count
-qwen-max-2025-01-25,1.0,1.0,1.0,1.0,1.0,1.0,1.0,10
-gpt-4o,1.0,1.0,1.0,1.0,1.0,1.0,1.0,10

results/20250528_1535/summary.json

@@ -1,60 +0,0 @@
-{
-  "timestamp": "2025-05-28T15:36:05.540751",
-  "models_count": 2,
-  "models": {
-    "qwen-max-2025-01-25": {
-      "metrics": {
-        "accuracy": 1.0,
-        "precision_micro": 1.0,
-        "recall_micro": 1.0,
-        "f1_micro": 1.0,
-        "precision_macro": 1.0,
-        "recall_macro": 1.0,
-        "f1_macro": 1.0
-      },
-      "data_count": 10
-    },
-    "gpt-4o": {
-      "metrics": {
-        "accuracy": 1.0,
-        "precision_micro": 1.0,
-        "recall_micro": 1.0,
-        "f1_micro": 1.0,
-        "precision_macro": 1.0,
-        "recall_macro": 1.0,
-        "f1_macro": 1.0
-      },
-      "data_count": 10
-    }
-  },
-  "comparison": {
-    "accuracy": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "precision_micro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "recall_micro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "f1_micro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "precision_macro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "recall_macro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    },
-    "f1_macro": {
-      "qwen-max-2025-01-25": 1.0,
-      "gpt-4o": 1.0
-    }
-  }
-}

results/20250602_1706/claude-sonnet-4-20250514_metrics.json

@@ -0,0 +1,12 @@
+{
+  "timestamp": "2025-06-02T17:15:23.726253",
+  "metrics": {
+    "accuracy": 0.700507614213198,
+    "precision_micro": 0.6934673366834171,
+    "recall_micro": 0.700507614213198,
+    "f1_micro": 0.696969696969697,
+    "precision_macro": 0.7072180484244438,
+    "recall_macro": 0.7009183673469388,
+    "f1_macro": 0.69833034513671
+  }
+}

results/20250602_1706/deepseek-chat_metrics.json

@@ -0,0 +1,12 @@
+{
+  "timestamp": "2025-06-02T17:13:08.707748",
+  "metrics": {
+    "accuracy": 0.6700507614213198,
+    "precision_micro": 0.676923076923077,
+    "recall_micro": 0.6700507614213198,
+    "f1_micro": 0.673469387755102,
+    "precision_macro": 0.6899114693446089,
+    "recall_macro": 0.6705102040816326,
+    "f1_macro": 0.6754210676562946
+  }
+}

results/20250602_1706/gpt-4o_metrics.json

@@ -0,0 +1,12 @@
+{
+  "timestamp": "2025-06-02T17:10:06.316348",
+  "metrics": {
+    "accuracy": 0.5482233502538071,
+    "precision_micro": 0.5618556701030928,
+    "recall_micro": 0.5532994923857868,
+    "f1_micro": 0.5575447570332481,
+    "precision_macro": 0.5779088050314465,
+    "recall_macro": 0.5536734693877551,
+    "f1_macro": 0.5600088997453159
+  }
+}

results/20250602_1706/qwen-max-2025-01-25_metrics.json

@@ -0,0 +1,12 @@
+{
+  "timestamp": "2025-06-02T17:09:24.216653",
+  "metrics": {
+    "accuracy": 0.6446700507614214,
+    "precision_micro": 0.6336633663366337,
+    "recall_micro": 0.649746192893401,
+    "f1_micro": 0.6416040100250626,
+    "precision_macro": 0.6388760049474336,
+    "recall_macro": 0.6501020408163265,
+    "f1_macro": 0.64232342205538
+  }
+}

results/20250602_1706/summary.csv

@@ -0,0 +1,5 @@
+Model,accuracy,precision_micro,recall_micro,f1_micro,precision_macro,recall_macro,f1_macro,Data Count
+qwen-max-2025-01-25,0.6446700507614214,0.6336633663366337,0.649746192893401,0.6416040100250626,0.6388760049474336,0.6501020408163265,0.64232342205538,197
+gpt-4o,0.5482233502538071,0.5618556701030928,0.5532994923857868,0.5575447570332481,0.5779088050314465,0.5536734693877551,0.5600088997453159,197
+deepseek-chat,0.6700507614213198,0.676923076923077,0.6700507614213198,0.673469387755102,0.6899114693446089,0.6705102040816326,0.6754210676562946,197
+claude-sonnet-4-20250514,0.700507614213198,0.6934673366834171,0.700507614213198,0.696969696969697,0.7072180484244438,0.7009183673469388,0.69833034513671,197

results/20250602_1706/summary.json

@@ -0,0 +1,98 @@
+{
+  "timestamp": "2025-06-02T17:15:23.737185",
+  "models_count": 4,
+  "models": {
+    "qwen-max-2025-01-25": {
+      "metrics": {
+        "accuracy": 0.6446700507614214,
+        "precision_micro": 0.6336633663366337,
+        "recall_micro": 0.649746192893401,
+        "f1_micro": 0.6416040100250626,
+        "precision_macro": 0.6388760049474336,
+        "recall_macro": 0.6501020408163265,
+        "f1_macro": 0.64232342205538
+      },
+      "data_count": 197
+    },
+    "gpt-4o": {
+      "metrics": {
+        "accuracy": 0.5482233502538071,
+        "precision_micro": 0.5618556701030928,
+        "recall_micro": 0.5532994923857868,
+        "f1_micro": 0.5575447570332481,
+        "precision_macro": 0.5779088050314465,
+        "recall_macro": 0.5536734693877551,
+        "f1_macro": 0.5600088997453159
+      },
+      "data_count": 197
+    },
+    "deepseek-chat": {
+      "metrics": {
+        "accuracy": 0.6700507614213198,
+        "precision_micro": 0.676923076923077,
+        "recall_micro": 0.6700507614213198,
+        "f1_micro": 0.673469387755102,
+        "precision_macro": 0.6899114693446089,
+        "recall_macro": 0.6705102040816326,
+        "f1_macro": 0.6754210676562946
+      },
+      "data_count": 197
+    },
+    "claude-sonnet-4-20250514": {
+      "metrics": {
+        "accuracy": 0.700507614213198,
+        "precision_micro": 0.6934673366834171,
+        "recall_micro": 0.700507614213198,
+        "f1_micro": 0.696969696969697,
+        "precision_macro": 0.7072180484244438,
+        "recall_macro": 0.7009183673469388,
+        "f1_macro": 0.69833034513671
+      },
+      "data_count": 197
+    }
+  },
+  "comparison": {
+    "accuracy": {
+      "qwen-max-2025-01-25": 0.6446700507614214,
+      "gpt-4o": 0.5482233502538071,
+      "deepseek-chat": 0.6700507614213198,
+      "claude-sonnet-4-20250514": 0.700507614213198
+    },
+    "precision_micro": {
+      "qwen-max-2025-01-25": 0.6336633663366337,
+      "gpt-4o": 0.5618556701030928,
+      "deepseek-chat": 0.676923076923077,
+      "claude-sonnet-4-20250514": 0.6934673366834171
+    },
+    "recall_micro": {
+      "qwen-max-2025-01-25": 0.649746192893401,
+      "gpt-4o": 0.5532994923857868,
+      "deepseek-chat": 0.6700507614213198,
+      "claude-sonnet-4-20250514": 0.700507614213198
+    },
+    "f1_micro": {
+      "qwen-max-2025-01-25": 0.6416040100250626,
+      "gpt-4o": 0.5575447570332481,
+      "deepseek-chat": 0.673469387755102,
+      "claude-sonnet-4-20250514": 0.696969696969697
+    },
+    "precision_macro": {
+      "qwen-max-2025-01-25": 0.6388760049474336,
+      "gpt-4o": 0.5779088050314465,
+      "deepseek-chat": 0.6899114693446089,
+      "claude-sonnet-4-20250514": 0.7072180484244438
+    },
+    "recall_macro": {
+      "qwen-max-2025-01-25": 0.6501020408163265,
+      "gpt-4o": 0.5536734693877551,
+      "deepseek-chat": 0.6705102040816326,
+      "claude-sonnet-4-20250514": 0.7009183673469388
+    },
+    "f1_macro": {
+      "qwen-max-2025-01-25": 0.64232342205538,
+      "gpt-4o": 0.5600088997453159,
+      "deepseek-chat": 0.6754210676562946,
+      "claude-sonnet-4-20250514": 0.69833034513671
+    }
+  }
+}