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Add TsFile (converted from lerobot/aloha_static_battery)
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---
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.
```