Datasets:
OpenArm Shirt Folding (TsFile)
Apache TsFile version of TobiBrtnr/openarm_shirt_folding_new_converted.
Overview
This LeRobot v2.1 dataset records a bimanual OpenArm robot performing the task "Fold the T-Shirt properly."
- Scale: 50 episodes, 135,766 frames, one task, and a single train split.
- Sampling rate: 30 Hz.
- Robot type:
openarm_robot. - Visual streams: one global camera and two wrist cameras at 480 x 640.
Schema (TsFile structure)
- Time (INT64, milliseconds) —
round(timestamp * 1000), restarting for each episode. - episode_index, task_index (TAG, INT64) —episode and task device dimensions; for example, query one trajectory with
WHERE episode_index=0. - frame_index, sample_index (FIELD, INT64) —frame position and global source sample index.
- observation_state_0..observation_state_47 (FIELD, FLOAT) —bimanual joint positions, velocities, and efforts.
- action_0..action_31 (FIELD, FLOAT) —bimanual joint position and angle commands.
The source timestamp field is represented by Time, and source index is
renamed to sample_index. The three camera streams and their 150 MP4 files are
not included; they remain available in the original videos directory.
Usage
Read data/openarm_shirt_folding_new_converted_train.tsfile with the Apache
TsFile Java or Python SDK. All episodes share one table; use the TAG columns to
select an episode or task.
Source & license
- Original dataset: https://huggingface.co/datasets/TobiBrtnr/openarm_shirt_folding_new_converted
- Author / publisher: TobiBrtnr
- Paper: not declared by the original dataset
- License: Apache License 2.0
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