Datasets:
public_demo (TsFile)
Apache TsFile version of brandonyang/public-demo.
Overview
This dataset is a LeRobot v3.0 public demo recorded with a UMI gripper.
- Robot: UMI gripper
- Scale: 12 episodes, 11,516 frames, 30 fps
- Split: train
- Cameras (not uploaded):
umi1,umi2
Schema (TsFile structure)
The TsFile table is named public_demo.
| Role | Columns |
|---|---|
| Time | Time, INT64 milliseconds |
| TAG | episode_index, task_index |
| FIELD | frame_index, sample_index |
| FIELD | observation_state_0 … observation_state_13, FLOAT |
| FIELD | action_0 … action_11, 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/public_demo.tsfile") as reader:
print(reader.get_all_table_schemas()["public_demo"])
Source & license
- Original dataset: https://huggingface.co/datasets/brandonyang/public-demo
- Author: brandonyang
- License: apache-2.0
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