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Cache-SCA/IsaacLab-SO101-Phase1-sort_by_color-80episode-10fps

Isaaclab So101 Phase1 Sort By Color 80Episode 10Fps LeRobot v3.0 dataset collected via SCRAPE-IsaacLab — a Code-as-Policies replay pipeline running inside Isaac Sim 5.1 / IsaacLab 2.3.2. Task instruction: "Sort the blocks onto the matching colored dishes." Robot: so101_follower Cameras: top + left-wrist RGB @ 10 fps Episodes: 80 (67,786 frames total) Labels: per-frame natural-language skill labels in skill.natural_language and subtask.* columns (labeled by Gemini) Generated on… See the full description on the dataset page: https://huggingface.co/datasets/Cache-SCA/IsaacLab-SO101-Phase1-sort_by_color-80episode-10fps.

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
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Dataset Card

Isaaclab So101 Phase1 Sort By Color 80Episode 10Fps

LeRobot v3.0 dataset collected via SCRAPE-IsaacLab — a Code-as-Policies replay pipeline running inside Isaac Sim 5.1 / IsaacLab 2.3.2.

  • —Task instruction: "Sort the blocks onto the matching colored dishes."
  • —Robot: so101_follower
  • —Cameras: top + left-wrist RGB @ 10 fps
  • —Episodes: 80 (67,786 frames total)
  • —Labels: per-frame natural-language skill labels in `skill.natural_language and subtask.*` columns (labeled by Gemini)

Generated on Isaac Sim 5.1 / IsaacLab 2.3.2 under Python 3.11, CUDA 12.1.

FPS Downsample Derivation

This derivative dataset downsamples an existing LeRobot v3 dataset without modifying the source dataset.

  • —Source repo: CoRL2026-CSI/IsaacLab-SO101-Phase1-sort_by_color-80episode
  • —Output repo: CoRL2026-CSI/IsaacLab-SO101-Phase1-sort_by_color-80episode-10fps
  • —Source FPS: 30
  • —Target FPS: 10
  • —Frame stride: 3
  • —Action source offset frames: 2
  • —Alignment: state[t] = source_state[i], action[t] = source_action[min(i + 2, episode_end)], next kept state = source_state[i + 3] when available
  • —Terminal action policy: clamp to the final source frame inside the same episode
  • —Validation: fps=10, total_episodes=80, total_frames=67786
  • —Action alignment validation: 67786 rows, max_abs=0.0
  • —Dataset audit: PASS=37, WARN=0, FAIL=0