most unit tests passing (TODO: convert datasets)
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@@ -178,6 +178,7 @@ Under the hood, the `LeRobotDataset` format makes use of several ways to seriali
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Here are the important details and internal structure organization of a typical `LeRobotDataset` instantiated with `dataset = LeRobotDataset("lerobot/aloha_static_coffee")`. The exact features will change from dataset to dataset but not the main aspects:
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```
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TODO: IMPROVE
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dataset attributes:
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├ hf_dataset: a Hugging Face dataset (backed by Arrow/parquet). Typical features example:
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│ ├ observation.images.cam_high (VideoFrame):
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@@ -190,7 +191,7 @@ dataset attributes:
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│ ├ timestamp (float32): timestamp in the episode
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│ ├ next.done (bool): indicates the end of en episode ; True for the last frame in each episode
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│ └ index (int64): general index in the whole dataset
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├ episode_data_index: contains 2 tensors with the start and end indices of each episode
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├ meta: contains 2 tensors with the start and end indices of each episode
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│ ├ from (1D int64 tensor): first frame index for each episode — shape (num episodes,) starts with 0
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│ └ to: (1D int64 tensor): last frame index for each episode — shape (num episodes,)
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├ stats: a dictionary of statistics (max, mean, min, std) for each feature in the dataset, for instance
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