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license: mit
language:
- en
tags:
- robotics
- simulation
- hdf5
- labvla
pretty_name: LabEmbodied-Data Beta
---
# LabEmbodied-Data Beta
LabEmbodied-Data Beta is a subset of **LabEmbodied-Data**, introduced in [LabVLA](https://arxiv.org/abs/2606.13578). It provides successful laboratory robot demonstrations with multi-view video, language instructions, robot states, actions, and structured annotations.
## Dataset layout
```text
<robot>/<family>/<case>/ Episode files and task metadata
meta/ Dataset information and episode indexes
docs/ Data format reference
examples/ Optional LeRobot conversion example
```
Each episode is stored in an H5 file. Use `meta/episodes.jsonl` to locate episodes and their associated metadata. File paths in the index are relative to the dataset root.
## Quick start
Read H5 files directly with `h5py`; see the [data format reference](docs/data_format.md) for field definitions and Python usage. Camera videos are embedded in the H5 files.
## Optional LeRobot export
The example exports states, actions, language, and RGB videos to LeRobot v3.0 using LeRobot 0.4.4. Run from the dataset root in a Python 3.10+ environment:
```bash
pip install -r examples/requirements.txt
python examples/convert_to_lerobot.py \
--source . --out ../labembodied-ur5e-lerobot \
--repo-id local/labembodied-ur5e --robot ur5e --max-episodes 2
```
Omit `--max-episodes` to export all episodes for the selected robot. Joint values and column order are preserved. Videos are decoded and re-encoded; other annotations remain in the H5 files. The output includes `meta/source_episodes.jsonl` to map LeRobot indices to the original episode IDs. Nothing is uploaded.
## License
[MIT](LICENSE).
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