---
license: apache-2.0
tags:
- TsFile
- time-series
configs:
- config_name: default
  data_files:
  - split: train
    path: data/aloha_static_battery.tsfile
---

# aloha_static_battery

Converted from the Hugging Face dataset [`lerobot/aloha_static_battery`](https://huggingface.co/datasets/lerobot/aloha_static_battery) to Apache TsFile format.

## Source Dataset

- **Original dataset:** [`lerobot/aloha_static_battery`](https://huggingface.co/datasets/lerobot/aloha_static_battery)
- **Authors:** LeRobot (Hugging Face)
- **License:** apache-2.0

Conversion notes:
- LeRobot v3.0 robot dataset: 49 episodes, 29,400 frames, 50 fps, 1 task.
- All episodes are stored in a single TsFile under
  `data/aloha_static_battery.tsfile` with source columns `episode_index`
  and `task_index` as TAG columns; query one episode with
  `WHERE episode_index=N`.
- Vector columns are flattened to single-precision FLOAT, preserving the
  source column name: `.` is replaced with `_` and the element index is
  appended.
- Time is synthesized as `round(timestamp * 1000)` milliseconds, restarting
  per episode. Dropped column: source `timestamp` (seconds), because it
  equals `Time / 1000`. `frame_index` is kept and `index` is renamed to
  `sample_index`.
- Source camera videos are not included in this repository. They remain in
  the original dataset under `videos/`.
- `meta/` is mirrored from the source. `meta/info.json` describes the
  converted TsFile schema.


## Conversion Notes

- Conversion mode: `script`
- Time precision: `ms`
- TsFile data files: `['data/aloha_static_battery.tsfile']`
- Converter: `scripts/converters/lerobot.py`

## Usage

```python
# Read the .tsfile files with the Apache TsFile Java/Python SDK.
```