Datasets:
license: apache-2.0
authors:
- Brett Peters
task_categories:
- robotics
tags:
- tsfile
- timeseries
- tabular
modality:
- timeseries
- tabular
pretty_name: BAP13 SO101 Test 3 TsFile
configs:
- config_name: default
data_files:
- split: train
path: data/bap13_so101_test_3_train.tsfile
size_categories:
- 10K<n<100K
BAP13 SO101 Test 3 TsFile
This is an Apache TsFile conversion of bap13/so101_test_3, a LeRobot v2.1 SO101 robot-manipulation dataset. The task is: Grasp a blue block and put it in the bowl.
Source Dataset and Provenance
- Original dataset: bap13/so101_test_3
- Original repository owner and uploader: Brett Peters (bap13)
- License: Apache-2.0
- Robot type: so101
- LeRobot codebase version: v2.1
- Split: train
- Sampling rate: 30 fps
- Scale: 53 episodes, 30,617 frame rows, 1 task, 53 source Parquet files, and 106 source videos
- Source frame layout: data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet
- Source video layout: videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
- Paper/citation: not supplied by the source dataset card
The source README contains an obsolete 3-episode example. The pinned repository files, meta/info.json, meta/episodes.jsonl, and all 53 Parquet shards agree on the current 53-episode, 30,617-row dataset.
Schema
| Column | TsFile type | Role | Encoding | Compression |
|---|---|---|---|---|
| Time | TIMESTAMP | TIME | TS_2DIFF | LZ4 |
| episode_index | STRING | TAG | Device/tag storage | Device/tag storage |
| task_index | STRING | TAG | Device/tag storage | Device/tag storage |
| frame_index | INT64 | FIELD | TS_2DIFF | LZ4 |
| sample_index | INT64 | FIELD | TS_2DIFF | LZ4 |
| action_0 through action_5 | FLOAT | FIELD | GORILLA | LZ4 |
| observation_state_0 through observation_state_5 | FLOAT | FIELD | GORILLA | LZ4 |
The source index column is renamed to sample_index. frame_index is retained. episode_index and task_index are stored as TsFile table-model TAG/device columns.
Videos
Videos are not included in this TsFile dataset. They remain at the pinned source revision in two frame-aligned streams:
- observation.images.context: 53 per-episode MP4 files, 202,287,802 bytes
- observation.images.wrist: 53 per-episode MP4 files, 312,978,469 bytes
Together the 106 AV1 videos occupy 515,266,271 bytes (about 491.40 MiB). Both streams are 640 by 480 at 30 fps without audio. Numeric rows align with the source videos through episode_index and frame_index.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/bap13_so101_test_3_train.tsfile")
table_name = "bap13_so101_test_3_train"
columns = [
"episode_index",
"task_index",
"frame_index",
"sample_index",
"action_0",
"observation_state_0",
]
with reader.query_table(table_name, columns, 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 Brett Peters (bap13) when using this converted artifact.