Datasets:
pig3_seg (TsFile)
Apache TsFile version of adrienloizeau/pig3_seg, a LeRobot v2.1 demonstration dataset recorded with an SO-100 arm.
Overview
This dataset was created using LeRobot. It records one SO-100 manipulation task with per-frame joint state and action vectors, along with three synchronized camera streams (robot, webcam, seg).
- Robot: SO-100 (
so100) - Scale: 50 episodes, 26,799 frames, 1 task, 30 fps
- Split: train
Schema (TsFile structure)
The TsFile table is named pig3_seg.
| Role | Columns |
|---|---|
| Time | Time, INT64 milliseconds |
| TAG | episode_index, task_index |
| FIELD | frame_index, sample_index |
| FIELD | action_0 … action_5, FLOAT |
| FIELD | observation_state_0 … observation_state_5, FLOAT |
The original 6-element action and observation.state vectors are flattened into scalar FLOAT measurements. 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. - The three camera streams (
observation.images.robot,observation.images.webcam,observation.images.seg) are video and are NOT included in this repository; they remain in the source videos tree. 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/pig3_seg.tsfile") as reader:
print(reader.get_all_table_schemas()["pig3_seg"])
Source & license
- Original dataset: https://huggingface.co/datasets/adrienloizeau/pig3_seg
- Author: adrienloizeau
- License: apache-2.0
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