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THULab/abc_130k_v3_smoke

abc_130k_v3_smoke (TsFile) Apache TsFile version of lerobot/abc_130k_v3_smoke. Overview This dataset is a LeRobot v3.0 bimanual dataset (a smoke-test slice of the ABC-130K corpus) recorded with a YAM bimanual arm. Robot: Yam bimanual (yam_bimanual) Scale: 85 episodes, 313,094 frames, 30 fps Split: train Cameras (not uploaded): top, left_wrist, right_wrist Schema (TsFile structure) The TsFile table is named abc_130k_v3_smoke. Role Columns… See the full description on the dataset page: https://huggingface.co/datasets/THULab/abc_130k_v3_smoke.

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face
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Dataset Card

abc130kv3_smoke (TsFile)

Apache TsFile version of `lerobot/abc_130k_v3_smoke`.

Overview

This dataset is a LeRobot v3.0 bimanual dataset (a smoke-test slice of the ABC-130K corpus) recorded with a YAM bimanual arm.

  • —Robot: Yam bimanual (yam_bimanual)
  • —Scale: 85 episodes, 313,094 frames, 30 fps
  • —Split: train
  • —Cameras (not uploaded): top, left_wrist, right_wrist

Schema (TsFile structure)

The TsFile table is named abc_130k_v3_smoke.

RoleColumns
TimeTime, INT64 milliseconds
TAGepisode_index, task_index
FIELDframe_index, sample_index
FIELDobservationstate0 … observationstate13FLOAT (14-DOF state)
FIELDaction0 … action13FLOAT (14-DOF action)

Vector columns are flattened into scalar FLOAT measurements (single precision). The source index column is retained as sample_index.

Conversion notes

  • —Time = round(timestamp * 1000) with millisecond precision; time restarts inside each episode, while episode_index and task_index identify the TsFile device.
  • —The original timestamp field is omitted because it is exactly represented by Time / 1000.
  • —Camera video streams are NOT included in this repository; they remain in the source videos tree.
  • —The two language-annotation columns language_persistent (a list of structured message objects) and language_events (an empty list) are non-scalar and are NOT included in the TsFile; language instructions remain in the original dataset parquet.
  • —meta/ is mirrored from the source. Aside from the redundant timestamp column and the excluded videos, no source rows or numeric fields are dropped.

Read example

python
from tsfile import TsFileReader

with TsFileReader("data/abc_130k_v3_smoke.tsfile") as reader:
    print(reader.get_all_table_schemas()["abc_130k_v3_smoke"])

Source & license

  • —Original dataset: https://huggingface.co/datasets/lerobot/abc130kv3_smoke
  • —Author: lerobot
  • —License: apache-2.0