video video 27.7 41.4 | episode_index int64 0 4 | camera stringclasses 3
values | task stringclasses 1
value | length_frames int64 1.39k 2.07k | duration_seconds float64 27.7 41.4 | fps int64 50 50 | text stringlengths 69 72 |
|---|---|---|---|---|---|---|---|
0 | observation.images.ego_view | push the panda and the toilet paper | 1,952 | 39.04 | 50 | Episode 0 ego_view recording for push the panda and the toilet paper. | |
0 | observation.images.left_wrist | push the panda and the toilet paper | 1,952 | 39.04 | 50 | Episode 0 left_wrist recording for push the panda and the toilet paper. | |
0 | observation.images.right_wrist | push the panda and the toilet paper | 1,952 | 39.04 | 50 | Episode 0 right_wrist recording for push the panda and the toilet paper. | |
1 | observation.images.ego_view | push the panda and the toilet paper | 1,766 | 35.32 | 50 | Episode 1 ego_view recording for push the panda and the toilet paper. | |
1 | observation.images.left_wrist | push the panda and the toilet paper | 1,766 | 35.32 | 50 | Episode 1 left_wrist recording for push the panda and the toilet paper. | |
1 | observation.images.right_wrist | push the panda and the toilet paper | 1,766 | 35.32 | 50 | Episode 1 right_wrist recording for push the panda and the toilet paper. | |
2 | observation.images.ego_view | push the panda and the toilet paper | 1,851 | 37.02 | 50 | Episode 2 ego_view recording for push the panda and the toilet paper. | |
2 | observation.images.left_wrist | push the panda and the toilet paper | 1,851 | 37.02 | 50 | Episode 2 left_wrist recording for push the panda and the toilet paper. | |
2 | observation.images.right_wrist | push the panda and the toilet paper | 1,851 | 37.02 | 50 | Episode 2 right_wrist recording for push the panda and the toilet paper. | |
3 | observation.images.ego_view | push the panda and the toilet paper | 1,387 | 27.74 | 50 | Episode 3 ego_view recording for push the panda and the toilet paper. | |
3 | observation.images.left_wrist | push the panda and the toilet paper | 1,387 | 27.74 | 50 | Episode 3 left_wrist recording for push the panda and the toilet paper. | |
3 | observation.images.right_wrist | push the panda and the toilet paper | 1,387 | 27.74 | 50 | Episode 3 right_wrist recording for push the panda and the toilet paper. | |
4 | observation.images.ego_view | push the panda and the toilet paper | 2,069 | 41.38 | 50 | Episode 4 ego_view recording for push the panda and the toilet paper. | |
4 | observation.images.left_wrist | push the panda and the toilet paper | 2,069 | 41.38 | 50 | Episode 4 left_wrist recording for push the panda and the toilet paper. | |
4 | observation.images.right_wrist | push the panda and the toilet paper | 2,069 | 41.38 | 50 | Episode 4 right_wrist recording for push the panda and the toilet paper. |
push_panda_botom_shelf_postprocessed
Post-processed LeRobot dataset for the task: push the panda and the toilet paper.
The repository contains the full LeRobot dataset under the standard meta/, data/, and videos/ directories. A lightweight preview/ subset is configured as the default Hugging Face Dataset Viewer view so the dataset page shows representative videos directly.
Dataset Summary
- Task: push the panda and the toilet paper
- Format: LeRobot v2.1
- Episodes: 17
- Frames: 27268
- FPS: 50
- Video streams: 3
- Cameras:
observation.images.ego_viewobservation.images.left_wristobservation.images.right_wrist
- Train split:
0:17
Repository Layout
meta/
info.json
episodes.jsonl
tasks.jsonl
data/
chunk-000/
episode_000000.parquet
...
videos/
chunk-000/
...
preview/
metadata.csv
videos/
Preview Subset
The preview config contains representative MP4 files from the first post-processed episodes and available camera views. This subset exists only to make the Hugging Face web viewer easier to inspect. The training data remains in the LeRobot directory structure.
Loading With LeRobot
from lerobot.datasets.lerobot_dataset import LeRobotDataset
dataset = LeRobotDataset("NONHUMAN-RESEARCH/push_panda_botom_shelf_postprocessed")
print(dataset.meta.info)
print(len(dataset))
Post-processing
This dataset was post-processed to remove stale SMPL frames and discarded episodes, then episodes were renumbered sequentially.
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