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README.md
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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## Dataset Description
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```json
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{
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"codebase_version": "v3.0",
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"robot_type": "franka",
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"total_episodes": 100,
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"total_frames": 19700,
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"total_tasks": 1,
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"chunks_size": 1000,
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"data_files_size_in_mb": 100,
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"video_files_size_in_mb": 200,
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"fps": 30,
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"splits": {
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"train": "0:100"
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},
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
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"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
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"features": {
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"observation.state": {
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"dtype": "float32",
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"video.width": 320,
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"video.codec": "av1",
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"video.pix_fmt": "yuv420p",
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"video.is_depth_map": false,
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"video.fps": 30,
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"video.channels": 3,
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"has_audio": false
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}
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},
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"timestamp": {
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],
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"names": null
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}
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}
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}
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```
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=ases200q2/roboverse-pick_cube-mujocoE100">
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<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
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<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/>
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</a>
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## Dataset Description
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```json
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{
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"codebase_version": "v3.0",
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"fps": 30,
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"features": {
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"observation.state": {
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"dtype": "float32",
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"video.width": 320,
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"video.codec": "av1",
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"video.pix_fmt": "yuv420p",
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"video.fps": 30,
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"video.channels": 3,
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"has_audio": false,
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"video.g": 2,
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"video.crf": 30,
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"video.preset": 12,
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"video.fast_decode": 0,
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"video.video_backend": "pyav",
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"video.extra_options": {},
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"is_depth_map": false
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}
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},
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"timestamp": {
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],
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"names": null
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}
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},
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"total_episodes": 100,
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"total_frames": 19700,
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"total_tasks": 1,
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"chunks_size": 1000,
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"data_files_size_in_mb": 100,
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"video_files_size_in_mb": 200,
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"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
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"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
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"robot_type": "franka",
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"splits": {
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"train": "0:100"
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}
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}
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```
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