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Sensor Dataset TsFile

Apache TsFile conversion of AnasElkhabbaz/sensor_dataset, a LeRobot v2.1 three-channel resting muscle-sensor dataset.

Source and provenance

The task labels identify participant, recorded trial, and the Rest condition. Examples include Abdulrahman Khalfalla_Male_1_Rest, Abdulrahman Khalfalla_Male_2_Rest, Abdulrahman Khalfalla_Male_3_Rest, Abdulrahman Khalfalla_Male_4_Rest. The source card does not provide a paper, homepage, units for the sensor values, or a BibTeX citation.

Schema

Column TsFile role Type Source / meaning
Time TIME INT64 round(timestamp * 1000) milliseconds; restarts at the first sample of each episode
episode_index TAG source INT64, stored as device/tag value Original LeRobot episode index
task_index TAG source INT64, stored as device/tag value Original LeRobot task index
frame_index FIELD INT64 Original frame number within the episode
sample_index FIELD INT64 Source index, renamed to avoid ambiguity
observation_state_0 FIELD FLOAT sensor.brachioradialis
observation_state_1 FIELD FLOAT sensor.flexor_carpi_radialis
observation_state_2 FIELD FLOAT sensor.flexor_carpi_ulnaris

observation.state[3] is flattened to scalar fields while preserving the source channel order. The source timestamp column is dropped after Time synthesis because it is redundant with Time / 1000 seconds. No rows, episodes, tasks, or sensor channels are dropped.

Storage profile

  • Time: TS_2DIFF + LZ4
  • FLOAT/DOUBLE: GORILLA + LZ4
  • INT32/INT64: TS_2DIFF + LZ4
  • BOOLEAN: RLE + LZ4 when present; this source has no BOOLEAN fields
  • episode_index and task_index: TsFile table-model TAG/device mechanism

The physical TsFile schema was inspected after writing. The resulting TsFile is 16.83% of the combined source Parquet size.

Videos

The source meta/info.json declares the generic LeRobot template videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4, but it also reports total_videos: 0. The pinned repository tree contains no videos/ directory and no video files. Therefore there is no original video location to mirror, and this TsFile dataset contains no videos.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/anaselkhabbaz_sensor_dataset.tsfile")
with reader.query_table(
    "anaselkhabbaz_sensor_dataset",
    ["episode_index", "task_index", "frame_index", "observation_state_0"],
    batch_size=4096,
) as result:
    batch = result.read_arrow_batch()
    print(batch.to_pandas().head())
reader.close()

Please cite the original Hugging Face dataset and Anas elkhabbaz.

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