---
pretty_name: "SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants"
license: cc-by-nc-4.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - 1K<n<10K
task_categories:
  - other
---

# SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants

**Dataset ID:** `nm000238`

_Accou2024_

> **At a glance:** EEG · 87 subjects · 4088 recordings · Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes.

## 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="nm000238", 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/nm000238")
```


## Dataset metadata

| | |
|---|---|
| **Subjects** | 87 |
| **Recordings** | 4088 |
| **Tasks (count)** | 366 |
| **Channels** | 64 (×1) |
| **Sampling rate (Hz)** | 8192 (×1) |
| **Size on disk** | Unknown |
| **Recording type** | EEG |
| **Source** | nemar |
| **License** | Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes. |

## Links

- **DOI:** [10.48804/K3VSND](https://doi.org/10.48804/K3VSND)
- **NEMAR:** [nm000238](https://nemar.org/dataexplorer/detail?dataset_id=nm000238)
- **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/nm000238). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._