| --- |
| pretty_name: "Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing" |
| license: cc0-1.0 |
| tags: |
| - eeg |
| - neuroscience |
| - eegdash |
| - brain-computer-interface |
| - pytorch |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - other |
| --- |
| |
| # Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing |
|
|
| **Dataset ID:** `nm000229` |
|
|
| _Gwilliams2023_ |
|
|
| **Canonical aliases:** `MASC_MEG` · `MEG_MASC` |
|
|
| > **At a glance:** EEG · 29 subjects · 1360 recordings · CC0 |
|
|
| ## Load this dataset |
|
|
| This repo is a **pointer**. The raw EEG data lives at its canonical source |
| (OpenNeuro / NEMAR); [EEGDash](https://github.com/eegdash/EEGDash) streams it |
| on demand and returns a PyTorch / braindecode dataset. |
|
|
| ```python |
| # pip install eegdash |
| from eegdash import EEGDashDataset |
| |
| ds = EEGDashDataset(dataset="nm000229", cache_dir="./cache") |
| print(len(ds), "recordings") |
| ``` |
|
|
| You can also load it by canonical alias — these are registered classes in `eegdash.dataset`: |
|
|
| ```python |
| from eegdash.dataset import MASC_MEG |
| ds = MASC_MEG(cache_dir="./cache") |
| ``` |
|
|
| If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, |
| you can also pull it directly: |
|
|
| ```python |
| from braindecode.datasets import BaseConcatDataset |
| ds = BaseConcatDataset.pull_from_hub("EEGDash/nm000229") |
| ``` |
|
|
|
|
| ## Dataset metadata |
|
|
| | | | |
| |---|---| |
| | **Subjects** | 29 | |
| | **Recordings** | 1360 | |
| | **Tasks (count)** | 79 | |
| | **Channels** | 208 (×196) | |
| | **Sampling rate (Hz)** | 1000 (×196) | |
| | **Size on disk** | Unknown | |
| | **Recording type** | EEG | |
| | **Source** | nemar | |
| | **License** | CC0 | |
|
|
| ## Links |
|
|
| - **DOI:** [10.1038/s41597-023-02752-5](https://doi.org/10.1038/s41597-023-02752-5) |
| - **NEMAR:** [nm000229](https://nemar.org/dataexplorer/detail?dataset_id=nm000229) |
| - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) |
| - **Docs:** <https://eegdash.org> |
| - **Code:** <https://github.com/eegdash/EEGDash> |
|
|
| --- |
|
|
| _Auto-generated from [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) and the [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/nm000229). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._ |
|
|
