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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:
Dataset card Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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

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