Datasets:
akabeko_instruct_v1
This dataset is a TsFile conversion of
akira-sasaki/akabeko_instruct_v1,
a LeRobot SO-100 robot dataset.
Source Dataset
- Original dataset:
akira-sasaki/akabeko_instruct_v1 - Original license: apache-2.0
- Robot type: so100
- Modalities: Time-series
- Source sampling rate: 30 fps
- Source scale: 300 episodes, 89,917 frames, 5 tasks
- Source videos: 600 videos in the original dataset under
videos/
The source task list is:
task_index=0: Pick up the cube and place it in the box.task_index=1: Remove the cube from the box.task_index=2: Pick up the pen and put it in the pen holder.task_index=3: Pick up the yellow tape and place it in the box.task_index=4: Remove the yellow tape from the box.
TsFile Conversion
The converted dataset stores the numeric robot time-series data in one TsFile:
data/akabeko_instruct_v1.tsfile
Conversion summary:
- Rows: 89,917
- Episodes: 300
- Time precision: milliseconds
- Table name:
akabeko_instruct_v1 - TAG columns:
episode_index,task_index - Time mapping:
Time = round(timestamp * 1000) - Dropped source column:
timestamp, because it is represented byTime / 1000 - Renamed source column:
indextosample_index - Omitted source video features:
observation.images.laptop,observation.images.phone
The meta/ directory is mirrored from the source dataset, with
meta/info.json updated to describe the converted TsFile artifact and the
video policy. Videos are not included in this converted repository; use the
original dataset if frame-aligned videos are needed.
Schema
Time is the TsFile time column in milliseconds. episode_index and
task_index are TAG columns. Remaining columns are FIELD measurements:
frame_indexsample_indexaction_0throughaction_5observation_state_0throughobservation_state_5
The 6 action and observation-state dimensions follow the source joint order:
main_shoulder_panmain_shoulder_liftmain_elbow_flexmain_wrist_flexmain_wrist_rollmain_gripper
Usage
Read the TsFile with Apache TsFile tools or SDKs. Example path:
data/akabeko_instruct_v1.tsfile
To inspect a single episode in SQL-style tools, filter by the TAG:
SELECT *
FROM akabeko_instruct_v1
WHERE episode_index = 0;
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