MakerLab V3 Test 20260716 192547 TsFile
This repository presents the numeric time-series portion of
makermods/makerlab_v3_test_20260716_192547, a LeRobot v3.0
SO follower robot dataset whose source task label is makerlab_v3_test.
Source And Attribution
- Original dataset and author: makermods
- Repository owner and uploader: makermods
- License: Apache-2.0
- Task:
makerlab_v3_test - Split:
train; 5 episodes, 782 frames, 1 task, sampled at 30 fps - Source numeric layout:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - The source card provides no paper, homepage, or completed citation.
Data Layout
The data/makermods_makerlab_v3_test_20260716_192547.tsfile table is makermods_makerlab_v3_test_20260716_192547. It contains 782 rows
over 5 episode devices. Time is round(timestamp * 1000) in milliseconds,
starts at zero for each episode, and increases within each episode. The source
timestamp column is omitted because it equals Time / 1000 seconds.
| Column | Role | Type | Source mapping |
|---|---|---|---|
Time |
TIME | TIMESTAMP | round(timestamp * 1000) ms |
episode_index, task_index |
TAG | STRING | Original int64 columns |
frame_index |
FIELD | INT64 | Preserved |
sample_index |
FIELD | INT64 | Renamed from source index |
action_0 ... action_5 |
FIELD | FLOAT | Flattened from action[6] |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT | Flattened from observation.state[6] |
The six action and state dimensions are, in order: shoulder_pan.pos,
shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and
gripper.pos.
Storage Profile
- FLOAT and DOUBLE: GORILLA + ZSTD
- INT32 and INT64: TS_2DIFF + ZSTD
- Time: TS_2DIFF + LZ4
- BOOLEAN: RLE + LZ4
- TAG: TsFile table/device TAG mechanism
Source Videos
Videos remain exclusively in the original Hugging Face dataset and are not included here. The source paths are:
Each stream is AV1, 640x480, 30 fps, without audio. The source videos/
directory is approximately 20.3 MB. Video files use
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4.
Use episode_index, frame_index, and the original episode metadata to align
numeric samples with frames.
Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/makermods_makerlab_v3_test_20260716_192547.tsfile")
with reader.query_table(
"makermods_makerlab_v3_test_20260716_192547",
["episode_index", "task_index", "frame_index", "sample_index", "action_0"],
batch_size=65536,
) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
Citation
The source dataset does not provide a paper or completed citation. Cite the
original makermods/makerlab_v3_test_20260716_192547 dataset and its
repository owner, makermods.
- Downloads last month
- 33