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makermods_sock_2_only_more_orange

Tasks:
Robotics
Modalities:
Time-series
Tabular
Size:
10K<n<100K
Tags:
tsfile
timeseries
tabular
License:
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metadata 
license: apache-2.0
authors:
  - makermods
task_categories:
  - robotics
tags:
  - tsfile
  - timeseries
  - tabular
modality:
  - timeseries
  - tabular
pretty_name: Sock 2 Only More Orange TsFile
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/makermods_sock_2_only_more_orange.tsfile
size_categories:
  - 10K<n<100K

Sock 2 Only More Orange TsFile

This repository presents the numeric time-series portion of makermods/sock_2_only_more_orange, a LeRobot v3.0 SO follower robot dataset for putting a sock in the matching bin.

Source And Attribution

  • Original dataset and author: makermods
  • Repository owner and uploader: makermods
  • License: Apache-2.0
  • Task: put sock in matching bin
  • Split: train; 145 episodes, 49,791 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_sock_2_only_more_orange.tsfile table is makermods_sock_2_only_more_orange. It contains 49,791 rows over 145 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 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 + LZ4
  • INT32 and INT64: TS_2DIFF + LZ4
  • 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. 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_sock_2_only_more_orange.tsfile")
with reader.query_table(
    "makermods_sock_2_only_more_orange",
    ["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/sock_2_only_more_orange dataset and its repository owner, makermods.