demo2_frames_grab / README.md
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---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- tsfile
- timeseries
- robotics
- format:tsfile
pretty_name: Demo2 Frames Grab
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/demo2_frames_grab.tsfile
modality:
- tabular
- timeseries
---
# Demo2 Frames Grab (TsFile)
Apache TsFile version of [`1g0rrr/demo2_frames_grab`](https://huggingface.co/datasets/1g0rrr/demo2_frames_grab).
## Overview
This LeRobot v2.1 dataset records the task “Peel off protective film from adhesive tape.” It uses the `sam_two` robot type and provides numeric robot action and state observations for each frame.
- **Scale:** 64 train episodes, 28,432 frames, one task, sampled at 30 fps.
- **Source videos:** the original dataset has laptop, side, and phone camera streams. Videos are not included in this TsFile dataset; see the [source videos](https://huggingface.co/datasets/1g0rrr/demo2_frames_grab/tree/main/videos).
## Schema (TsFile structure)
- **Time** (INT64, milliseconds) — `round(timestamp * 1000)` for each source frame; time restarts for every episode.
- **episode_index**, **task_index** (TAG) — source episode and task dimensions; query a single episode with `WHERE episode_index=0`.
- **frame_index**, **sample_index** (FIELD, INT64) — source frame index and source `index` (renamed to `sample_index`).
- **action_0** … **action_6** (FIELD, FLOAT) — flattened source `action[7]` vector.
- **observation_state_0****observation_state_6** (FIELD, FLOAT) — flattened source `observation.state[7]` vector.
The source `timestamp` column is represented by `Time` and is not retained as a duplicate field. Source vectors are flattened by element index, and their order is preserved.
## Usage
Read `data/demo2_frames_grab.tsfile` with the Apache TsFile Java or Python SDK.
## Source & license
- Original dataset: https://huggingface.co/datasets/1g0rrr/demo2_frames_grab
- Author / publisher: 1g0rrr
- Source format: LeRobot v2.1
- License: Apache-2.0