Datasets:

THUgewu
/

so100_test

task_categories:
  - robotics
tags:
  - LeRobot
  - so100
  - tutorial
  - time-series
  - tsfile
  - modality:timeseries
  - timeseries
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/so100_test.tsfile

so100_test

Converted Apache TsFile version of diaawoo/so100_test, a LeRobot SO100 tutorial robot dataset.

Source Dataset

Original dataset: diaawoo/so100_test
Source tags: LeRobot, so100, tutorial
Source split: train
Source storage: one Parquet shard at data/train-00000-of-00001.parquet
Source scale: 2 episodes, 1,184 frames, 30 fps
Modalities: Time-series. The downloaded source snapshot does not include a videos/ directory.

TsFile Layout

Data file: data/so100_test.tsfile
Table name: so100_test
Rows: 1,184
Time precision: milliseconds
TAG columns: episode_index
FIELD columns: frame_index, sample_index, next_done, observation_state_0 through observation_state_5, and action_0 through action_5

The converted table uses the original LeRobot episode_index column as the TsFile TAG column. The source parquet does not contain task_index, so no synthetic task_index, episode_id, or task_id column is created.

Conversion Notes

Converted with the generic lerobot converter in the huggingface_to_tsfile pipeline.
Time = round(timestamp * 1000) in milliseconds and restarts per episode.
The source timestamp column is not retained as a separate FIELD because it is redundant with Time / 1000.
The source index column is renamed to sample_index.
Vector columns are flattened while preserving the full source column name with . replaced by _: observation.state[6] becomes observation_state_0..observation_state_5, and action[6] becomes action_0..action_5.
Numeric arrays are stored as single-precision FLOAT fields.
Source metadata is mirrored under meta_data/, with meta_data/info.json updated to describe the converted TsFile schema and conversion mapping.

Read Example

Use Apache TsFile tooling or SDKs to read:

data/so100_test.tsfile