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40 episodes · 30 fps

record-test_3 TsFile

This dataset is a TsFile conversion of the LeRobot dataset sunparticle/record-test_3. The source dataset was created with LeRobot and is licensed under apache-2.0.

Dataset Details

  • Source dataset: sunparticle/record-test_3
  • Source format: LeRobot v2.1
  • Robot type: so101_follower
  • Modalities: Time-series robot state and action data
  • Source task: place crown on capybara
  • Split: train
  • Episodes: 40
  • Frames / rows: 17403
  • Tasks: 1
  • Sampling rate: 30 fps
  • Source videos: 40
  • Converted data file: data/record_test_3_train.tsfile

TsFile Layout

The conversion writes one TsFile table for the train split: record_test_3_train.

  • Time is the TsFile time column in milliseconds.
  • episode_index and task_index are TAG columns.
  • frame_index and sample_index are scalar FIELD columns.
  • action_0 through action_5 are flattened action FIELD columns.
  • observation_state_0 through observation_state_5 are flattened observation FIELD columns.

Vector column flattening preserves the source column name, replaces . with _, and appends the element index. For example, observation.state becomes observation_state_0 through observation_state_5.

Conversion Notes

  • Time = round(timestamp * 1000) and restarts per episode.
  • The source timestamp column is dropped because it is represented by Time / 1000 seconds.
  • The source index column is renamed to sample_index.
  • No numeric time-series rows are dropped; the converted TsFile has 17403 rows.
  • Source meta/ files are mirrored, with meta/info.json updated to describe the converted TsFile artifact.
  • Videos are not uploaded here. The source video feature observation.images.front and the videos/ tree remain in the original dataset: https://huggingface.co/datasets/sunparticle/record-test_3/tree/main/videos.

Read Example

Use the Apache TsFile SDK or TsFile tools to read:

data/record_test_3_train.tsfile

For episode-level filtering, query the table with the TAG column, for example WHERE episode_index = 0.

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