NSD-Flat

[GitHub] [🤗 Hugging Face Hub]

A Hugging Face dataset of pre-processed brain activity flat maps from the Natural Scenes Dataset, constrained to a visual cortex region of interest and rendered as PNG images.

Load the dataset

Load the dataset from Hugging Face Hub

from datasets import load_dataset

dataset = load_dataset("clane9/NSD-Flat", split="train")

Building the dataset

1. Download source data

Run download_data.sh to download the required source data:

• NSD stimuli images and presentation info
• COCO annotations
• NSD beta activity maps in fsaverge surface space

bash download_data.sh

2. Convert the COCO annotations

Run convert_nsd_annotations.py to crop and reorganize the COCO annotations for NSD.

python convert_nsd_annotations.py

3. Generate the dataset

Run generate_dataset.py to generate the huggingface dataset in Arrow format.

python generate_dataset.py --img_size 256 --workers 8

Citation

If you find this dataset useful, please consider citing:

@article{allen2022massive,
  title     = {A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence},
  author    = {Allen, Emily J and St-Yves, Ghislain and Wu, Yihan and Breedlove, Jesse L and Prince, Jacob S and Dowdle, Logan T and Nau, Matthias and Caron, Brad and Pestilli, Franco and Charest, Ian and others},
  journal   = {Nature neuroscience},
  volume    = {25},
  number    = {1},
  pages     = {116--126},
  year      = {2022},
  publisher = {Nature Publishing Group US New York}
}

@misc{lane2023nsdflat,
  author       = {Connor Lane},
  title        = {NSD-Flat: Pre-processed brain activity flat maps from the Natural Scenes Dataset},
  howpublished = {\url{https://huggingface.co/datasets/clane9/NSD-Flat}},
  year         = {2023},
}

License

Usage of this dataset constitutes agreement to the NSD Terms and Conditions.