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observation.state list | action list | next.reward float32 | next.done bool | next.truncated bool | is_intervention bool | timestamp float32 | frame_index int64 | episode_index int64 | index int64 | task_index int64 | recap.return float32 | recap.value float32 | recap.advantage float32 | recap.indicator int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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End of preview. Expand in Data Studio
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 32,
"total_frames": 2990,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 1e-06,
"fps": 10,
"splits": {
"train": "0:32"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"features": {
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"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channel"
],
"info": {
"video.height": 256,
"video.width": 256,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 10,
"video.channels": 3,
"has_audio": false
}
},
"observation.images.wrist_image": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channel"
],
"info": {
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