* ver Jun17th updating annotations * ver Jun17th corrected annotation of 1d17 added check for cell merge * ver Jun17th updated several annotations * ver Jun20th fixed set-up config of 2bd59342-0664-4ccb-ba87-79379096cc08 * fix: Enhance instructions in LibreOffice Calc examples for clarity and specificity, including details on using Pivot Tables, column placements, and revenue calculations. * ver Jun21st updating calc evals * ver Jun22nd fixed an impress task * ver Jun22ndv2 adjusted several calc tasks * Clean scalfolds * ver Jul18th added two try-excepts to handle possible formula parsing and calculation failures --------- Co-authored-by: BowenBryanWang <bryanwang.nlp@connect.hku.hk> Co-authored-by: yuanmengqi <yuanmengqi@mail.ustc.edu.cn>
Evaluation examples
Here we put the data examples to benchmark the ability of agents when interacting with GUI.
The examples are stored in ./examples where each data item formatted as:
{
"id": "uid", # unique id
"snapshot": "snapshot_id", # the snapshot id of the environment, with some data already there and apps already opened, or just desktop
"instruction": "natural_language_instruction", # the natural language instruction of the task, what we want the agent to do
"source": "website_url", # where we know this example, some forum, or some website, or some paper
"config": {xxx}, # the scripts to setup the donwload and open files actions, as the initial state of a task
# (coming in next project) "trajectory": "trajectory_directory", # the trajectory directory, which contains the action sequence file, the screenshots and the recording video
"related_apps": ["app1", "app2", ...], # the related apps, which are opened during the task
"evaluator": "evaluation_dir", # the directory of the evaluator, which contains the evaluation script for this example
…
}
The ./trajectories file contains the annotated trajectories for each data item in ./examples for finishing the task.
For now, it is under construction, and only tested on Windows 10. Please:
- Modify the path accordingly to run the evaluation;
- Remind us if some parts are overfit to our environment.