Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 270, in _generate_tables
df = pandas_read_json(f)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 34, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4195, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
for key, pa_table in ex_iterable.iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 273, in _generate_tables
raise e
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 236, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
BIDS-Formatted sMRI + rs-fMRI Dataset of Professional Chess Players
Dataset Card for Hugging Face
📋 Dataset Description
This is a BIDS-compliant subset of the multimodal MRI dataset originally published in Scientific Data (Li et al., 2015). It contains high-resolution T1-weighted structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) data from 29 professional Chinese chess players (including multiple Grandmasters and International Masters with an average Elo rating of ~2401).
DTI data, phenotypic spreadsheets, and QA reports have been removed per the repository owner’s instructions. The remaining data have been reorganized into the Brain Imaging Data Structure (BIDS) format for maximum compatibility with modern tools (fMRIPrep, MRIQC, Nilearn, etc.).
Chess expertise is an established model for studying long-term brain plasticity, spatial cognition, working memory, planning, and skill acquisition. This dataset enables reproducible research in cognitive neuroscience and machine learning on neuroimaging data.
Key Features
- Subjects: 29 professional chess players (all right-handed, neurologically healthy adults)
- Modalities: T1-weighted anatomical + resting-state fMRI (single session
ses-01) - Total size: 1.1 GB (compressed NIfTI + JSON sidecars)
- Format: Fully BIDS-compliant with sidecar JSON files containing acquisition metadata
📊 Dataset Statistics
| Datasets | Subjects (#) | # of Scans (sMRI, fMRI) | Size (GB) | sMRI Min Size (MB) | sMRI Max Size (MB) | fMRI Min Size (MB) | fMRI Max Size (MB) |
|---|---|---|---|---|---|---|---|
| DS | 29 | 58 (29, 29) | 1.1 | 7.4 | 16 | 25 | 27 |
📁 File Structure
chess-mri-bids/
├── README.md
└── bids/
├── README
├── dataset_description.json
├── sub-0028197/
│ └── ses-01/
│ ├── anat/
│ │ ├── sub-0028197_ses-01_T1w.json
│ │ └── sub-0028197_ses-01_T1w.nii.gz
│ └── func/
│ ├── sub-0028197_ses-01_task-rest_run-01_bold.json
│ └── sub-0028197_ses-01_task-rest_run-01_bold.nii.gz
├── sub-0028198/
├── sub-0028199/
├── sub-0028200/
└── ... (29 subjects total)
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