The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: 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/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 68, 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.
THINGS-EEG2 training EEG with THINGSplus CC0 photos, re-split by concept
This repository is a mirror for reproducible builds: it holds the files produced once from the published originals listed below by the processing described here, so that later builds get exactly the same bytes (SHA256SUMS gives the SHA-256 of each file). Please cite and credit the original authors.
Contents
Uncompressed tar files (data-*.tar) that unpack to:
train_eeg.npy: float16[10 subjects, n, 4 repeats, 17 channels, 100 samples], the preprocessed THINGS-EEG2 training recordings of the 1,254 train concepts;train_images.csvgives each row's concept and photo number;dev_eeg.npy,test_eeg.npy: float16[10, n, 17, 100], each photo's four repeats averaged, for 200 dev and 200 test concepts, in an order set by a hash of each trial's bytes;dev_labels.csvgives the dev concepts (the test concepts are not included);concepts.csv: concept, split, word, THINGS category and definition;images/<concept>.jpg: one THINGSplus CC0 photo per concept, unchanged;channels.json: channel names and sample times.
Total: 2.90 GB. Check a download with sha256sum -c SHA256SUMS.
| file | bytes | sha256 |
|---|---|---|
data-000.tar |
1,189,478,400 | b653d7eaa635f309d7fc1adb2eb69ca0752516fea95307aaa71ac43d5578dad3 |
data-001.tar |
1,705,656,320 | e86e488562d3f846a2a1d63f01a4d079093437da005c1b463ff0e6d8acf32dec |
Source
- THINGS-EEG2: A. T. Gifford, K. Dwivedi, G. Roig and R. M. Cichy, "A large and rich EEG dataset for modeling human visual object recognition", NeuroImage 264, 119754 (2022), https://doi.org/10.1016/j.neuroimage.2022.119754. Data: https://osf.io/3jk45/ (preprocessed EEG, CC BY 4.0).
- THINGSplus: L. M. Stoinski, J. Perkuhn and M. N. Hebart, "THINGSplus: New norms and metadata for the THINGS database of 1854 object concepts and 26,107 natural object images", Behavior Research Methods 56, 1583-1603 (2024), https://doi.org/10.3758/s13428-023-02110-8. CC0 photos: https://osf.io/jum2f/ (CC0 1.0).
- THINGS concept metadata: M. N. Hebart et al., "THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images", PLoS ONE 14(10), e0223792 (2019), https://osf.io/jum2f/ (CC BY).
Licence
The EEG data and concept metadata are under Creative Commons Attribution 4.0 International (CC BY 4.0); the photos are CC0 1.0 (public domain dedication). These derived files are shared under CC BY 4.0, the photos remaining CC0.
Attribution: THINGS-EEG2 by Gifford et al. (CC BY 4.0); THINGSplus CC0 photos by Stoinski, Perkuhn and Hebart (CC0); THINGS metadata by Hebart et al. (CC BY). Re-split, averaged and stored as float16.
No endorsement by the original authors is implied.
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