Datasets:
Sock Purple Green Orange Sort TsFile
This repository contains the numeric time-series portion of makermods/sock_purple_green_orange_sort, a LeRobot v3.0 SO follower dataset for sorting purple, green, and orange socks.
Source and Attribution
- Original dataset and author: makermods
- Author profile: huggingface.co/makermods
- License: Apache-2.0
- Split: train; 153 episodes, 72,690 frames, 1 task, sampled at 30 fps
- Source frame layout: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
- Source video layout: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
Schema
The merged table makermods_sock_purple_green_orange_sort is stored in data/makermods_sock_purple_green_orange_sort.tsfile.
| Column | Role | Type | Source mapping |
|---|---|---|---|
| Time | TIME | INT64 | round(timestamp * 1000) milliseconds |
| episode_index, task_index | TAG | STRING | Original integer metadata |
| frame_index | FIELD | INT64 | Preserved |
| sample_index | FIELD | INT64 | Renamed from 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 vector dimensions retain the source order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and gripper.pos.
The source timestamp column is omitted because it equals Time / 1000 seconds. Video/image columns are omitted from the TsFile; no numeric trajectory rows are dropped.
Storage Profile
- FLOAT and DOUBLE: GORILLA + LZ4
- INT32 and INT64: TS_2DIFF + LZ4
- Time: TS_2DIFF + LZ4
- BOOLEAN: RLE + LZ4
- TAG: TsFile table/device TAG mechanism
Source Videos
Videos are not included in this repository. They remain in the original dataset:
Both streams are AV1, 640x480, 30 fps, and have no audio. Align samples with frames using episode_index and frame_index together with the original episode metadata.
Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/makermods_sock_purple_green_orange_sort.tsfile")
with reader.query_table(
"makermods_sock_purple_green_orange_sort",
["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()
The source dataset does not provide a paper or completed citation. Cite the original Hugging Face dataset and its makermods repository owner.
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