Datasets:
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observation.state list | observation.environment_state list | action list | source int64 | success int64 | intervention int64 | is_valid int64 | reward float32 | done int64 | timestamp float32 | frame_index int64 | episode_index int64 | index int64 | task_index 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": 50,
"total_frames": 13491,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:50"
},
"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": {
"observation.state": {
"dtype": "float32",
"shape": [
9
],
"names": [
"eef_pos_x",
"eef_pos_y",
"eef_pos_z",
"eef_quat_x",
"eef_quat_y",
"eef_quat_z",
"eef_quat_w",
"gripper_qpos_left",
"gripper_qpos_right"
]
},
"observation.environment_state": {
"dtype": "float32",
"shape": [
28
],
"names": [
"needle_pos_x",
"needle_pos_y",
"needle_pos_z",
"needle_quat_x",
"needle_quat_y",
"needle_quat_z",
"needle_quat_w",
"needle_to_eef_pos_x",
"needle_to_eef_pos_y",
"needle_to_eef_pos_z",
"needle_to_eef_quat_x",
"needle_to_eef_quat_y",
"needle_to_eef_quat_z",
"needle_to_eef_quat_w",
"tripod_pos_x",
"tripod_pos_y",
"tripod_pos_z",
"tripod_quat_x",
"tripod_quat_y",
"tripod_quat_z",
"tripod_quat_w",
"tripod_to_eef_pos_x",
"tripod_to_eef_pos_y",
"tripod_to_eef_pos_z",
"tripod_to_eef_quat_x",
"tripod_to_eef_quat_y",
"tripod_to_eef_quat_z",
"tripod_to_eef_quat_w"
]
},
"action": {
"dtype": "float32",
"shape": [
7
],
"names": [
"delta_eef_pos_x",
"delta_eef_pos_y",
"delta_eef_pos_z",
"delta_eef_rot_x",
"delta_eef_rot_y",
"delta_eef_rot_z",
"gripper_action"
]
},
"source": {
"dtype": "int64",
"shape": [
1
],
"names": [
"source_id"
]
},
"success": {
"dtype": "int64",
"shape": [
1
],
"names": [
"success_flag"
]
},
"intervention": {
"dtype": "int64",
"shape": [
1
],
"names": [
"intervention_flag"
]
},
"is_valid": {
"dtype": "int64",
"shape": [
1
],
"names": [
"is_valid_flag"
]
},
"reward": {
"dtype": "float32",
"shape": [
1
],
"names": [
"reward"
]
},
"done": {
"dtype": "int64",
"shape": [
1
],
"names": [
"done_flag"
]
},
"observation.images.agentview": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 256,
"video.width": 256,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 20,
"video.channels": 3,
"has_audio": false
}
},
"observation.images.robot0_eye_in_hand": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 256,
"video.width": 256,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 20,
"video.channels": 3,
"has_audio": false
}
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
}
}
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