--- pretty_name: "He et al. 2025 — VocalMind: A Stereotactic EEG Dataset for Vocalized, Mimed, and Imagined Speech in Tonal Language" license: cc-by-4.0 tags: - ieeg - neuroscience - eegdash - brain-computer-interface - pytorch size_categories: - n<1K task_categories: - other --- # He et al. 2025 — VocalMind: A Stereotactic EEG Dataset for Vocalized, Mimed, and Imagined Speech in Tonal Language **Dataset ID:** `nm000251` _He2025_ > **At a glance:** IEEG · 1 subjects · 6 recordings · CC BY 4.0 ## 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="nm000251", cache_dir="./cache") print(len(ds), "recordings") ``` 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/nm000251") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 1 | | **Recordings** | 6 | | **Tasks (count)** | 3 | | **Channels** | 110 (×6) | | **Sampling rate (Hz)** | 1000 (×6) | | **Total duration (h)** | 1.1 | | **Size on disk** | 1.9 GB | | **Recording type** | IEEG | | **Source** | nemar | | **License** | CC BY 4.0 | ## Links - **DOI:** [10.1038/s41597-025-04741-2](https://doi.org/10.1038/s41597-025-04741-2) - **NEMAR:** [nm000251](https://nemar.org/dataexplorer/detail?dataset_id=nm000251) - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) - **Docs:** - **Code:** --- _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/nm000251). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._