Datasets:
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 |
|---|---|
| Time | Time, INT64 milliseconds |
| TAG | episode_index, task_index |
| FIELD | frame_index, sample_index |
| FIELD | observation_state_0 … observation_state_13 |
| FIELD | action_0 … action_13 |
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, whileepisode_indexandtask_indexidentify the TsFile device.- The original
timestampfield is omitted because it is exactly represented byTime / 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) andlanguage_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 redundanttimestampcolumn and the excluded videos, no source rows or numeric fields are dropped.
Read example
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/abc_130k_v3_smoke
- Author: lerobot
- License: apache-2.0
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