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Datasets:
VGalaxies666
/
sensor_dataset

Tasks:
Robotics
Modalities:
Time-series
Size:
100K<n<1M
Tags:
tsfile
timeseries
time-series
LeRobot
emg
electromyography
License:
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metadata 
license: apache-2.0
task_categories:
  - robotics
tags:
  - tsfile
  - timeseries
  - time-series
  - LeRobot
  - emg
  - electromyography
  - sensor
pretty_name: Forearm EMG Sensor Dataset (TsFile)
size_categories:
  - 100K<n<1M
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/anaselkhabbaz_sensor_dataset.tsfile

Forearm EMG Sensor Dataset (TsFile)

Apache TsFile version of AnasElkhabbaz/sensor_dataset.

Overview

Surface electromyography (EMG) recordings of the forearm, packaged in the LeRobot v2.1 layout (robot_type = None). Each episode is one resting-state recording trial of a subject, sampling three forearm muscle sensors over time.

  • Episodes: 32 recording trials.
  • Frames: 152,837 timesteps total, sampled at ~3.33 Hz (each trial ≈ 1500 s).
  • Tasks: 32, one per episode — each labelled <Subject>_<Sex>_<N>_Rest (e.g. Billy_Male_1_Rest). task_index equals episode_index.
  • Sensors: 3 forearm EMG channels — brachioradialis, flexor_carpi_radialis, flexor_carpi_ulnaris.
  • Source format: LeRobot v2.1 (no action and no video columns).

Schema (TsFile structure)

  • Time (INT64, milliseconds) — per-frame timestamp, restarts at 0 for each episode (round(timestamp * 1000); ~300 ms apart at 3.33 Hz).
  • episode_index (TAG) — trial id (0–31). Query one trial with WHERE episode_index=0.
  • task_index (TAG) — task id (equals episode_index); maps to the subject / trial label in meta/tasks.jsonl.
  • frame_index (FIELD, INT64) — frame number within the episode.
  • sample_index (FIELD, INT64) — the source global index column.
  • observation_state_0 (FIELD, FLOAT) — brachioradialis EMG.
  • observation_state_1 (FIELD, FLOAT) — flexor_carpi_radialis EMG.
  • observation_state_2 (FIELD, FLOAT) — flexor_carpi_ulnaris EMG.

The source timestamp column is dropped because it equals Time / 1000.

Usage

Read the .tsfile file with the Apache TsFile Java or Python SDK.

# pip install tsfile
from tsfile import TsFileReader
reader = TsFileReader("data/anaselkhabbaz_sensor_dataset.tsfile")
# query one trial: WHERE episode_index=0

Source & license