Datasets:
metadata
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- so100
- tutorial
- tsfile
- format:tsfile
- time-series
- timeseries
modality:
- tabular
- timeseries
configs:
- config_name: default
data_files:
- split: train
path: data/soarm100_data2.tsfile
size_categories:
- 10K<n<100K
soarm100_data2 (TsFile)
Apache TsFile version of Dangvi/soarm100_data2.
Overview
This dataset is a LeRobot v2.1 dataset of an SO-100 arm.
- Robot: SO-100 (so100)
- Scale: 75 episodes, 33,440 frames, 30 fps
- Split: train
- Cameras (not uploaded):
wristcam,webcam
Schema (TsFile structure)
The TsFile table is named soarm100_data2.
| 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 |
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/soarm100_data2.tsfile") as reader:
print(reader.get_all_table_schemas()["soarm100_data2"])
Source & license
- Original dataset: https://huggingface.co/datasets/Dangvi/soarm100_data2
- Author: Dangvi
- License: apache-2.0