Datasets:
SO100 Pick and Place Blocks TsFile
This Apache TsFile dataset is derived from
slowturtle99/so100_pick_place_blocks, a LeRobot v2.1 SO100
robot-manipulation dataset. It contains numeric robot trajectories, frame
timing, and episode/task tags. Camera videos remain in the source repository.
Source Dataset and Attribution
- Source dataset:
slowturtle99/so100_pick_place_blocks - Original author/uploader: slowturtle99
- Authorship evidence: the repository shows slowturtle99 as its owner, uploader, and sole contributor. The source card gives no separate author list.
- License: Apache-2.0
- Task: "Pick blocks and place them in the box."
- Robot:
so100; LeRobot version:v2.1 - Split:
train; sampling rate: 30 fps - Scale: 50 episodes, 35,084 frames, 1 task
- Source layout: 50 Parquet shards at
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Data Layout
- Path:
data/slowturtle99_so100_pick_place_blocks.tsfile(832,093 bytes) - Table:
slowturtle99_so100_pick_place_blocks - Rows: 35,084; episodes/devices: 50; tasks: 1
- Time precision: milliseconds
- TsFile/source-Parquet size ratio: 0.413
- Source metadata remains under
meta/; no source Parquet file is moved into that directory.
Schema
Time = round(timestamp * 1000) milliseconds. Time restarts at zero in every
episode. Source timestamp is omitted afterward because it equals
Time / 1000 seconds.
TAG columns, stored through the TsFile table/device mechanism:
episode_indextask_index
Scalar FIELD columns:
frame_indexsample_index(renamed from sourceindex)
Flattened FLOAT FIELD groups:
action[6]->action_0...action_5observation.state[6]->observation_state_0...observation_state_5
The six dimensions are main_shoulder_pan, main_shoulder_lift,
main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.
Dots in source vector names become underscores. No numeric row, episode, task,
or vector dimension is dropped.
Encodings and Compression
- FLOAT/DOUBLE: GORILLA + LZ4
- INT32/INT64: TS_2DIFF + LZ4
- Time: TS_2DIFF + LZ4
- BOOLEAN: RLE + LZ4 (the source has no BOOLEAN field)
- TAG: TsFile table/device storage
The physical table schema, Time codec, every FIELD codec, and all 35,084 rows were checked with the Apache TsFile Java API.
Videos
Videos are not included in this TsFile repository. The source has 100 frame-aligned AV1 MP4 files (467,621,518 bytes, about 446.0 MiB), 640x480, 30 fps, no audio, in two streams:
Each stream uses
videos/chunk-000/{video_key}/episode_{episode_index:06d}.mp4.
episode_index, frame_index, and meta/episodes.jsonl preserve alignment.
Usage
from tsfile import TsFileReader
reader = TsFileReader("data/slowturtle99_so100_pick_place_blocks.tsfile")
with reader.query_table(
"slowturtle99_so100_pick_place_blocks",
["episode_index", "task_index", "frame_index", "sample_index",
"action_0", "observation_state_0"],
batch_size=65536,
) as result:
batch = result.read_arrow_batch()
if batch is not None:
print(batch.to_pandas().head())
reader.close()
Source Notes
The source card states that the dataset was created with LeRobot. It does not provide a paper or completed BibTeX citation.
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