Datasets:
SNOW.SB (TsFile)
Apache TsFile version of williamdgomez/SNOW.SB.
Overview
This dataset is a LeRobot v3.0 dataset recorded with a Lekiwi client robot at 24 fps.
- Robot: Lekiwi client (lekiwi_client)
- Scale: 91 episodes, 73,578 frames, 24 fps
- Split: train
- Cameras (not uploaded):
front,wrist,top
Schema (TsFile structure)
The TsFile table is named snow_sb.
| Role | Columns |
|---|---|
| Time | Time, INT64 milliseconds |
| TAG | episode_index, task_index |
| FIELD | frame_index, sample_index |
| FIELD | action_0 … action_8 |
| FIELD | observation_state_0 … observation_state_8 |
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/snow_sb.tsfile") as reader:
print(reader.get_all_table_schemas()["snow_sb"])
Source & license
- Original dataset: https://huggingface.co/datasets/williamdgomez/SNOW.SB
- Author: williamdgomez
- License: apache-2.0
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