THULab/test2_makerlab2_0_20260711_173020
test2_makerlab2_0_20260711_173020 (TsFile) Apache TsFile version of makermods/test2_makerlab2.0_20260711_173020. Overview This dataset is a LeRobot v3.0 dataset recorded with an SO-100 follower arm in a MakerLab 2.0 booth. Robot: SO-100 follower (so_follower) Scale: 5 episodes, 2,244 frames, 30 fps Split: train Cameras (not uploaded): wrist, front Schema (TsFile structure) The TsFile table is named test2_makerlab2_0_20260711_173020. Role… See the full description on the dataset page: https://huggingface.co/datasets/THULab/test2_makerlab2_0_20260711_173020.
test2makerlab2020260711173020 (TsFile)
Apache TsFile version of `makermods/test2_makerlab2.0_20260711_173020`.
Overview
This dataset is a LeRobot v3.0 dataset recorded with an SO-100 follower arm in a MakerLab 2.0 booth.
- Robot: SO-100 follower (so_follower)
- Scale: 5 episodes, 2,244 frames, 30 fps
- Split: train
- Cameras (not uploaded):
wrist,front
Schema (TsFile structure)
The TsFile table is named test2_makerlab2_0_20260711_173020.
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.
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/test2_makerlab2_0_20260711_173020.tsfile") as reader:
print(reader.get_all_table_schemas()["test2_makerlab2_0_20260711_173020"])Source & license
- Original dataset: https://huggingface.co/datasets/makermods/test2makerlab2.020260711_173020
- Author: makermods
- License: apache-2.0
