Datasets:
0605 Pi0 100 TsFile
Apache TsFile conversion of weiye11/0605_pi0_100, a LeRobot v2.1 SO-100 manipulation dataset.
Source Dataset
- Original dataset:
weiye11/0605_pi0_100 - Original author and repository uploader: weiye11
- License: Apache-2.0
- Robot type:
so100 - Task:
Grasp a lego block and put it in the bin. - Split:
train; sampling rate: 30 fps - Scale: 100 episodes, 24,804 frame rows, 1 task, 100 source Parquet shards
- Source frame layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
Data Layout
- TsFile:
data/weiye11_0605_pi0_100.tsfile - Table:
weiye11_0605_pi0_100 - Rows: 24,804; episodes/devices: 100
- Time precision: milliseconds
meta/retains source metadata, withmeta/info.jsondescribing the TsFile data path and schema.
Schema
| Column | TsFile role | Type | Meaning |
|---|---|---|---|
Time |
TIME | INT64 | round(timestamp * 1000) milliseconds |
episode_index |
TAG | STRING tag (source INT64) | LeRobot episode index |
task_index |
TAG | STRING tag (source INT64) | LeRobot task index |
frame_index |
FIELD | INT64 | Frame number within an episode |
sample_index |
FIELD | INT64 | Source index, renamed |
action_0 ... action_5 |
FIELD | FLOAT | Flattened action[6], source order |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT | Flattened observation.state[6], source order |
Time restarts for each episode and is monotonic under its (episode_index, task_index) TAG device. Source timestamp is omitted because it equals Time / 1000. No source rows or numeric action/state dimensions are omitted; index is preserved as sample_index.
Storage
- Time:
TS_2DIFF + LZ4 - FLOAT/DOUBLE fields:
GORILLA + LZ4 - INT32/INT64 fields:
TS_2DIFF + LZ4 - BOOLEAN fields:
RLE + LZ4when present; this source has none - Episode and task identifiers: TsFile table-model TAG/device mechanism
The TsFile is 36.36% of the combined source Parquet size.
Videos
The original dataset has 200 episode-aligned MP4 files in two camera streams, 100 per stream:
Source video template: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4. Videos are not included here; retrieve them from the original dataset. Numeric rows remain frame-aligned through episode_index and frame_index.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/weiye11_0605_pi0_100.tsfile")
with reader.query_table("weiye11_0605_pi0_100", ["episode_index", "task_index", "frame_index", "action_0", "observation_state_0"], batch_size=65536) as result:
print(result.read_arrow_batch().to_pandas().head())
reader.close()
Citation
The source card provides no paper or BibTeX citation. Please cite weiye11/0605_pi0_100 and weiye11.
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