Datasets:
metadata
license: apache-2.0
task_categories:
- robotics
tags:
- tsfile
- timeseries
- time-series
- LeRobot
- so101
- robotics
pretty_name: so101_test (TsFile)
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files: data/*.tsfile
so101_test (TsFile)
Apache TsFile version of enpeicv/so101_test.
Overview
A single-arm robot manipulation dataset recorded with an SO-101 arm (so101,
6 DOF). The task in every episode is to grasp a Lego block and put it in the bin.
It was created with LeRobot (codebase
version v2.1).
- Scale: 50 episodes, 22,378 frames total.
- Sampling rate: 30 fps.
- Robot:
so101— single SO-101 arm, 6 DOF (5 joints + gripper). - Task: a single task,
task_index = 0— "Grasp a lego block and put it in the bin".
Schema (TsFile structure)
- Time (INT64, milliseconds) — frame timestamp,
round(timestamp * 1000). It restarts from 0 at the beginning of each episode (~33 ms between frames at 30 fps). - episode_index (TAG) — which of the 50 episodes the row belongs to.
- task_index (TAG) — the task identifier (always
0here). Both tags form the TsFile device dimension; query one episode withWHERE episode_index=0. - frame_index (FIELD, INT64) — frame number within the episode.
- sample_index (FIELD, INT64) — the original global
indexcolumn. - action_0 .. action_5 (FIELD, FLOAT) — the commanded target positions, 6 values: shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper.
- observation_state_0 .. observation_state_5 (FIELD, FLOAT) — the measured
joint/gripper positions, same 6-element layout as
action.
The source timestamp column is dropped (it equals Time ÷ 1000 seconds). Vector
columns are flattened single-precision FLOAT (. → _, element index appended,
the observation. prefix stripped).
Usage
Read the .tsfile files with the Apache TsFile Java or Python SDK.
Notes
- Camera video streams are not included in this repository. The original
dataset has 2 camera views (
observation.images.laptop,observation.images.phone, both 640×480) under itsvideos/directory — see the original dataset for them. meta/from the source is mirrored alongside the data. Aside from the redundanttimestampcolumn noted above, no columns or rows are dropped.
Source & license
- Original dataset: https://huggingface.co/datasets/enpeicv/so101_test
- Author / publisher: enpeicv
- Paper: not declared by the original dataset.
- License: apache-2.0 (from the original dataset card).