Datasets:
File size: 2,067 Bytes
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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`](https://huggingface.co/datasets/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, while `episode_index` and `task_index` identify the TsFile device.
- The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
- Camera video streams are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/Dangvi/soarm100_data2/tree/main/videos).
- `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
## Read example
```python
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
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