README.md

---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- robotics
- timeseries
- tsfile
- format:tsfile
modality:
- tabular
- timeseries
pretty_name: "2view_random50 TsFile"
configs:
- config_name: default
  data_files:
  - split: train
    path: data/two_view_random50.tsfile
size_categories:
- 10K<n<100K
---

# 2view_random50 TsFile

This dataset is an Apache TsFile conversion of the Hugging Face dataset
[`iiyudana/2view_random50`](https://huggingface.co/datasets/iiyudana/2view_random50).
The source dataset was created with [LeRobot](https://github.com/huggingface/lerobot)
and is licensed under Apache 2.0.

Modalities: Time-series. The original visual MP4 streams remain available in
the source dataset; this repository stores the numeric robot state, action,
frame metadata, task index, and episode tags as TsFile.

## Source Dataset

- Original dataset: [`iiyudana/2view_random50`](https://huggingface.co/datasets/iiyudana/2view_random50)
- Source task: `"Pick up the cube with the right arm and transfer it to the left arm."`
- Codebase version: LeRobot `v2.1`
- Robot type: `aloha`
- Split: `train` (`0:50`)
- Episodes: `50`
- Frames: `20,000`
- Sampling rate: `50 fps`
- Tasks: `1`
- Videos: `100` MP4 files across `observation.images.top` and
  `observation.images.right_wrist`
- Source data path: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
- Source video path: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`

## Converted Files

- TsFile: `data/two_view_random50.tsfile`
- Rows: `20,000`
- Table name: `two_view_random50`
- Time precision: milliseconds
- Mirrored metadata: `meta/`, with `meta/info.json` updated for the TsFile artifact

## Schema

`Time` is generated as `round(timestamp * 1000)` milliseconds. Time restarts
within each episode, and devices are identified by the original LeRobot tag
columns.

- TAG columns: `episode_index`, `task_index`
- FIELD metadata columns: `frame_index`, `sample_index`
- FIELD vectors: `observation_state_0..observation_state_13` and
  `action_0..action_13`

## Conversion Notes

- The source `timestamp` column is dropped after being mapped to `Time`; it is
  recoverable as `Time / 1000` seconds.
- The source `index` column is renamed to `sample_index`.
- Vector columns are flattened by preserving the full source column name,
  replacing `.` with `_`, and appending the element index.
- Source video features are not uploaded here: `observation.images.top` and
  `observation.images.right_wrist`. Use the original dataset's
  [`videos/`](https://huggingface.co/datasets/iiyudana/2view_random50/tree/main/videos)
  tree for the visual streams.
- Aside from the redundant `timestamp` column and omitted video files, no
  numeric time-series rows are intentionally dropped.

## Read Example

```python
from tsfile import TsFileReader

path = "data/two_view_random50.tsfile"

with TsFileReader(path) as reader:
    tables = reader.get_all_table_schemas()
    print(tables.keys())
```