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1k episodes · 50 fps

Pick TBlock MP PDScale 10 TsFile

This dataset is a TsFile conversion of younghyopark/pick_tblock_mp_pdscale_10, a LeRobot v2.1 dataset created with the DualPanda robot setup.

Modalities: Time-series.

Source Dataset

  • Original dataset: younghyopark/pick_tblock_mp_pdscale_10
  • Created with: LeRobot
  • License: apache-2.0
  • Codebase version: v2.1
  • Robot type: DualPanda
  • Source task: pick something up (the source tasks.jsonl string contains one trailing space)
  • Source split: train 0:1000
  • Source scale: 1000 episodes, 173,000 frames, 1 task, 1 data chunk, 50 fps
  • Source videos: 0 videos; source video_path is null

Converted Data

  • TsFile path: data/pick_tblock_mp_pdscale_10.tsfile
  • Table name: pick_tblock_mp_pdscale_10
  • Rows: 173,000
  • Episodes: 1000
  • Time precision: milliseconds
  • Layout: all train episodes are stored in one TsFile, using TsFile table TAG columns for episode and task identity

Schema

Time is computed as round(timestamp * 1000) in milliseconds and restarts per episode. The source timestamp column is not retained as a FIELD because it is represented by Time / 1000 seconds.

TAG columns:

  • episode_index
  • task_index

Scalar FIELD columns:

  • frame_index
  • sample_index converted from the source index column

Flattened vector FIELD groups:

  • observation.joint -> observation_joint_0 through observation_joint_15
  • observation.state -> observation_state_0 through observation_state_29
  • observation.environment_state -> observation_environment_state_0 through observation_environment_state_6
  • observation.qvel -> observation_qvel_0 through observation_qvel_29
  • observation.env_qvel -> observation_env_qvel_0 through observation_env_qvel_5
  • observation.ee_pose -> observation_ee_pose_0 through observation_ee_pose_15
  • action.ctrl -> action_ctrl_0 through action_ctrl_15
  • action.joint -> action_joint_0 through action_joint_15
  • action.ee_pose -> action_ee_pose_0 through action_ee_pose_15

All flattened vector values are stored as scalar FLOAT fields. The flattening preserves the source column name prefix, replaces . with _, and appends the element index.

Conversion Notes

  • Source timestamp was used to create Time and was dropped as a redundant field.
  • Source index was renamed to sample_index.
  • Source columns episode_index and task_index are TAG columns, not regular fields.
  • Source metadata is mirrored under meta/, with meta/info.json updated to describe the TsFile artifact.
  • No videos are uploaded here because the source metadata reports total_videos: 0 and video_path: null.

Read Example

The converted file is data/pick_tblock_mp_pdscale_10.tsfile. After loading it with Apache TsFile or IoTDB tooling, query one episode by TAG:

SELECT frame_index, observation_state_0, action_ctrl_0
FROM pick_tblock_mp_pdscale_10
WHERE episode_index = 0 AND task_index = 0
ORDER BY Time;
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