azithromycin/sihyun77_suho_main_2

Suho Main 2 TsFile

This dataset is an Apache TsFile conversion of sihyun77/suho_main_2, a LeRobot v2.1 SO100 robot-manipulation dataset for grasping a LEGO block and placing it in a bin. It contains numeric trajectories, timing, and episode/task tags. Videos remain in the original Hugging Face repository.

Source Dataset and Attribution

• Original dataset: sihyun77/suho_main_2
• Original author, repository owner, uploader, and only listed contributor: sihyun77
• License: Apache-2.0
• Task: "Grasp a lego block and put it in the bin."
• Robot: so100; LeRobot version: v2.1
• Split: train; sampling rate: 30 fps
• Scale: 53 episodes, 30,653 frames, 1 task
• Source shards: 53 Parquet files totaling 1,559,835 bytes
• Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
• Paper, external homepage, and completed citation: not provided by the source card.

The source README embeds an older 15-episode copy of meta/info.json. The current meta/info.json, 53 Parquet files, meta/episodes.jsonl, and the repository tree consistently describe the 53-episode dataset and are used here.

TsFile Data

• TsFile: data/sihyun77_suho_main_2.tsfile (503,628 bytes)
• Table: sihyun77_suho_main_2
• Rows: 30,653; episodes/devices: 53; tasks: 1
• Time precision: milliseconds
• TsFile/source-Parquet size ratio: 0.323
• meta/ is preserved from the source, with only meta/info.json rewritten to describe the TsFile schema and source-video alignment.

Schema and Mapping

Time = round(timestamp * 1000) milliseconds. Time starts at zero and is strictly increasing inside every episode. The source timestamp is dropped afterward because it is represented by Time / 1000 seconds at the selected precision.

TsFile column	Role	Type	Source mapping
Time	TIME	TIMESTAMP	round(timestamp * 1000) ms
episode_index	TAG	STRING	Original INT64 episode index
task_index	TAG	STRING	Original INT64 task index
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 are main_shoulder_pan, main_shoulder_lift, main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper. Dots in source names are replaced by underscores. No numeric row, episode, task, state dimension, or action dimension is dropped.

Encodings and Compression

• FLOAT/DOUBLE: GORILLA + LZ4
• INT32/INT64: TS_2DIFF + LZ4
• Time: TS_2DIFF + LZ4
• BOOLEAN: RLE + LZ4 (the source contains no BOOLEAN field)
• TAG: TsFile table/device TAG storage

Videos

Videos are not included in this TsFile repository. The source contains 106 frame-aligned AV1 MP4 files, 640x480 at 30 fps with no audio, in two streams with 53 episode files each:

• observation.images.laptop
• observation.images.phone

The source layout is videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Use episode_index, frame_index, and meta/episodes.jsonl to align numeric rows with the original video frames. The 106 videos correspond to 53 episodes across the two camera streams.

Minimal Read Example

from tsfile import TsFileReader

reader = TsFileReader("data/sihyun77_suho_main_2.tsfile")
with reader.query_table(
    "sihyun77_suho_main_2",
    ["episode_index", "task_index", "frame_index", "sample_index",
     "action_0", "observation_state_0"],
    batch_size=65536,
) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Citation

The source card provides no paper or completed citation. Cite the original Hugging Face dataset and sihyun77 when using this conversion.