clane9/boldgpt_small_patch10.kmq
Updated
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"Baseball players are playing on the field at a baseball game. ",
"an over head view of some people playing baseball ",
"A group of people that are on a baseball field.",
"Group of people playing a game of baseball on a sports field. "
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End of preview. Expand
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NSD-Flat
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.
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