README.md

---

license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- so100
- tutorial
- tsfile
- timeseries
- format:tsfile
pretty_name: actualeasytask
modality: timeseries
configs:
- config_name: default
  data_files:
  - split: train
    path: data/actualeasytask.tsfile
---


# actualeasytask (TsFile)

Apache TsFile version of [`pietroom/actualeasytask`](https://huggingface.co/datasets/pietroom/actualeasytask).

## Overview

A [LeRobot](https://github.com/huggingface/lerobot) robot-manipulation dataset — a SO-100 tutorial manipulation task (laptop + phone views). The source card is auto-generated ("This dataset was created using LeRobot") and does not add a free-text description; the facts below are taken from the source `meta/info.json`.

- **Robot:** SO-100
- **Episodes:** 60
- **Frames:** 17948
- **Sampling rate:** 30 fps
- **Tasks:** 1
- **Splits:** a single `train` split (`0:60`)

## Schema (TsFile structure)

- **Time** (INT64, milliseconds) — `round(timestamp * 1000)`; the source `timestamp` column (seconds) is dropped because it equals `Time / 1000`.
- **episode_index** (TAG), **task_index** (TAG) — device dimensions; query one episode with `WHERE episode_index = <n>`.
- **frame_index** (FIELD, INT64), **sample_index** (FIELD, INT64, from the source `index`) — per-frame bookkeeping.
- Vector columns (single-precision FLOAT, source name with `.` → `_` and an element index appended):
  - observation.state → `observation_state_0`..`observation_state_5` (FLOAT)
  - action → `action_0`..`action_5` (FLOAT)

Camera video streams are **not** included in this repository; see the original dataset for the videos: https://huggingface.co/datasets/pietroom/actualeasytask (`videos/` directory).

## Usage

Read the `.tsfile` files with the Apache TsFile Java or Python SDK.

## Source & license

- Original dataset: https://huggingface.co/datasets/pietroom/actualeasytask
- Author / publisher: pietroom
- License: apache-2.0