---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- TsFile
- time-series
- robotics
modality:
- timeseries
configs:
- config_name: default
  data_files:
  - split: train
    path: data/eval1_fixed_all_v2.tsfile
---

# eval1_fixed_all_v2

This dataset is converted from
[`robot-learning-group47/eval1_fixed_all_v2`](https://huggingface.co/datasets/robot-learning-group47/eval1_fixed_all_v2)
to Apache TsFile format.

Modalities: Time-series. The original dataset also contains a front-camera
video stream, which remains in the source Hugging Face dataset and is not
included in this converted repository.

## Source Dataset

- Original dataset: [`robot-learning-group47/eval1_fixed_all_v2`](https://huggingface.co/datasets/robot-learning-group47/eval1_fixed_all_v2)
- Format: LeRobot v3.0
- Robot type: `so_follower`
- License: `apache-2.0`
- Scale: 61 episodes, 10,980 frames, 3 tasks, 15 fps
- Original data path: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
- Original video path: `videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`

## Converted Files

- TsFile data: `data/eval1_fixed_all_v2.tsfile`
- Mirrored metadata: `meta/`
- Rows in TsFile: 10,980
- Time precision: milliseconds

## Schema

`Time` is synthesized as `round(timestamp * 1000)` and restarts per episode.

TAG columns:

- `episode_index`
- `task_index`

FIELD columns:

- `frame_index`
- `sample_index` renamed from source `index`
- `action_0` through `action_5`, flattened from `action[6]`
- `observation_state_0` through `observation_state_5`, flattened from `observation.state[6]`

Flattened vector values are stored as single-precision FLOAT fields.

## Conversion Notes

- The source `timestamp` column is not retained as a separate field because it
  is redundant with `Time / 1000` seconds.
- The source front-camera video stream `observation.images.front` is not
  uploaded here. Use the original dataset for videos:
  https://huggingface.co/datasets/robot-learning-group47/eval1_fixed_all_v2/tree/main/videos
- `meta/info.json` is mirrored from the source and updated to describe the
  converted TsFile schema, original video path, row count, TAG columns, flattened
  features, and video policy.
- Aside from the redundant `timestamp` field and omitted video stream, no rows
  or numeric time-series fields are intentionally dropped.

## Read Example

```python
# Read data/eval1_fixed_all_v2.tsfile with the Apache TsFile Java/Python SDK.
# Query one episode with a predicate such as:
# WHERE episode_index = 0
```