Datasetpublic

NONHUMAN-RESEARCH/push_panda_toilet_paper_s2_postprocessed

push_panda_toilet_paper_s2_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… See the full description on the dataset page: https://huggingface.co/datasets/NONHUMAN-RESEARCH/push_panda_toilet_paper_s2_postprocessed.

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Dataset Card

pushpandatoiletpapers2_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: 32
—Frames: 40728
—FPS: 50
—Video streams: 3
—Cameras:
—observation.images.ego_view
—observation.images.left_wrist
—observation.images.right_wrist
—Train split: 0:32

Repository Layout

text

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

python

from lerobot.datasets.lerobot_dataset import LeRobotDataset

dataset = LeRobotDataset("NONHUMAN-RESEARCH/push_panda_toilet_paper_s2_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.