---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- tutorial
- tsfile
- timeseries
- robotics
- so100
- format:tsfile
modality:
- tabular
- timeseries
pretty_name: Test NNNN TsFile
configs:
- config_name: default
  data_files:
  - split: train
    path: data/test_nnnn.tsfile
size_categories:
- 1K<n<10K
---

# Test NNNN TsFile

This dataset is converted from [`FeiYjf/Test_NNNN`](https://huggingface.co/datasets/FeiYjf/Test_NNNN) to Apache TsFile format.

Modalities: Time-series. The converted repository contains numeric robot state/action trajectories and LeRobot metadata. Camera videos are not included in this TsFile conversion; they remain in the original Hugging Face dataset under its `videos/` tree.

## Source Dataset

- Original dataset: [`FeiYjf/Test_NNNN`](https://huggingface.co/datasets/FeiYjf/Test_NNNN)
- License: `apache-2.0`
- Robot type from source metadata: `so100`
- Source codebase version from metadata: `v2.0`
- Source split: `train`, episodes `0:40`
- Sampling rate: 30 fps
- Source scale: 40 episodes, 8,226 frames, 1 task, and 80 source videos.
- Source data layout: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
- Source video layout: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
- Source card note: created using LeRobot.

## Converted Data

- TsFile path: `data/test_nnnn.tsfile`
- Table name: `test_nnnn`
- Converted rows: 8,226
- Episodes: 40
- Tasks: 1
- Source frame Parquet files converted: 40
- Output file size: 117,979 bytes
- Time precision: milliseconds

## Schema

- `Time`: integer timestamp in milliseconds, computed as `round(timestamp * 1000)`.
- TAG columns: `episode_index`, `task_index`.
- Integer FIELD columns: `frame_index`, `sample_index`.
- FLOAT FIELD columns: `action_0` through `action_5`.
- FLOAT FIELD columns: `observation_state_0` through `observation_state_5`.

The six action and observation-state dimensions follow the SO100 joint names from the source metadata:

- `main_shoulder_pan`
- `main_shoulder_lift`
- `main_elbow_flex`
- `main_wrist_flex`
- `main_wrist_roll`
- `main_gripper`

## Conversion Notes

- Vector columns are flattened while preserving source names: `action` becomes `action_0..action_5`, and `observation.state` becomes `observation_state_0..observation_state_5`.
- The source `timestamp` column is dropped because it is represented by `Time / 1000` seconds after conversion.
- The source `index` column is renamed to `sample_index`.
- Video features `observation.images.left` and `observation.images.right` are omitted from this repository. Use the original dataset videos at [`FeiYjf/Test_NNNN/videos`](https://huggingface.co/datasets/FeiYjf/Test_NNNN/tree/main/videos).
- Source `meta/` files are mirrored, with `meta/info.json` updated to describe the converted TsFile path and schema.

## Read Example

```python
from pathlib import Path

tsfile_path = Path("data/test_nnnn.tsfile")
print(tsfile_path)

# Read this file with the Apache TsFile Java/Python SDK or TsFile tools.
```