Datasets:
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observation.state
sequence | action
sequence | timestamp
float32 | episode_index
int64 | frame_index
int64 | next.reward
float32 | next.done
bool | index
int64 | task_index
int64 |
---|---|---|---|---|---|---|---|---|
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End of preview. Expand
in Dataset Viewer.
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.0",
"robot_type": "unknown",
"total_episodes": 480,
"total_frames": 45308,
"total_tasks": 6,
"total_videos": 480,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 5,
"splits": {
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
"features": {
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],
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"video.pix_fmt": "yuv420p",
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}
},
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}
}
Citation
BibTeX:
@InProceedings{Radosavovic2022,
title = {Real-World Robot Learning with Masked Visual Pre-training},
author = {Ilija Radosavovic and Tete Xiao and Stephen James and Pieter Abbeel and Jitendra Malik and Trevor Darrell},
booktitle = {CoRL},
year = {2022}
}
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