Datasets:

jzpeng
/

anaselkhabbaz_sensor_dataset

Tasks:

Robotics

Modalities:

Tags:

License:

Dataset card Files Files and versions

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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 71, 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.

Sensor Dataset (TsFile)

Converted from AnasElkhabbaz/sensor_dataset at pinned revision db554abc320d6766a587f98b9d775d3ee6129c35. Modalities: Time-series.

Dataset description

This dataset contains recordings from three scalar muscle-sensor channels packaged in LeRobot v2.1 layout. Each episode is one named subject/trial recording.

There are 32 task labels, one per recording trial, such as Billy_Male_1_Rest; task_index equals episode_index. The three channels are brachioradialis, flexor carpi radialis, and flexor carpi ulnaris.

Source repository owner/publisher: AnasElkhabbaz
License: apache-2.0 (declared by the source card).
Paper/homepage/citation: no completed paper, homepage, or citation is documented in the pinned source card unless linked above.

Dataset Scale

Split	Episodes	Tasks	Source trajectory Parquets	TsFile rows	Sampling rate	TsFile files/shards
`train`	32	32	32	152,837	3.33 Hz	1

The staged Parquet has 152,837 rows and 8 columns including Time; TsFile chunk metadata independently reports the same 152,837 rows.

TsFile schema

Column	Role	TsFile type	Observed/source range
`Time`	TIME	INT64	0–1,499,700 ms; restarts per episode
`episode_index`	TAG	STRING	source integer 0–31
`task_index`	TAG	STRING	source integer 0–31
`frame_index`	FIELD	INT64	0–4,994 within an episode
`sample_index`	FIELD	INT64	0–152,836 globally

Exact remaining FIELD names/ranges and imported types:

observation_state_0 (FLOAT): source channel sensor.brachioradialis
observation_state_1 (FLOAT): source channel sensor.flexor_carpi_radialis
observation_state_2 (FLOAT): source channel sensor.flexor_carpi_ulnaris

Conversion

All source episodes in the train split are merged into data/anaselkhabbaz_sensor_dataset.tsfile; episode_index and task_index are TAG dimensions.
Time = round(timestamp * 1000) in milliseconds. The source timestamp column is omitted because it is redundant with Time / 1000 seconds.
frame_index is retained. Source index is retained as sample_index.
Every vector is fully flattened: the complete source name is kept, . becomes _, and element indices are appended. Float vectors are imported as single-precision FLOAT fields.
Other scalar source columns shown above are retained; no trajectory rows are intentionally dropped.
Source metadata is mirrored for publication, with copied meta/info.json rewritten to describe the converted data path and conversion semantics.

Video policy

The pinned source metadata declares zero videos and no video feature columns, so this conversion omits no visual stream.

Minimal read example

from tsfile import TsFileReader

reader = TsFileReader("data/anaselkhabbaz_sensor_dataset.tsfile")
print(reader.get_all_table_schemas().keys())
reader.close()

Source and provenance

Source dataset: AnasElkhabbaz/sensor_dataset
Pinned source revision: db554abc320d6766a587f98b9d775d3ee6129c35
Converted artifact: data/anaselkhabbaz_sensor_dataset.tsfile

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Total file size:

584 kB