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@@ -44,8 +44,92 @@ dataset_info:
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  sequence: string
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  splits:
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  - name: train
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- num_bytes: 26654549442.0
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  num_examples: 195000
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  download_size: 12966047661
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- dataset_size: 26654549442.0
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  sequence: string
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  splits:
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  - name: train
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+ num_bytes: 26654549442
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  num_examples: 195000
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  download_size: 12966047661
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+ dataset_size: 26654549442
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+ task_categories:
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+ - image-to-image
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+ - object-detection
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+ tags:
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+ - biology
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+ - neuroscience
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+ - fmri
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+ size_categories:
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+ - 100K<n<1M
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  ---
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+
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+ # NSD-Flat
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+ [[`GitHub`]](https://github.com/clane9/NSD-Flat) [[🤗 `Hugging Face Hub`]](https://huggingface.co/datasets/clane9/NSD-Flat)
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+
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+ A Hugging Face dataset of pre-processed brain activity flat maps from the [Natural Scenes Dataset](https://naturalscenesdataset.org/), constrained to a visual cortex region of interest and rendered as PNG images.
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+
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+ ## Load the dataset
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+
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+ Load the dataset from [Hugging Face Hub](https://huggingface.co/datasets/clane9/NSD-Flat)
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("clane9/NSD-Flat", split="train")
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+ ```
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+
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+ ## Building the dataset
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+
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+ ### 1. Download source data
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+
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+ Run [`download_data.sh`](download_data.sh) to download the required source data:
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+
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+ - NSD stimuli images and presentation info
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+ - COCO annotations
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+ - NSD beta activity maps in fsaverge surface space
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+
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+ ```bash
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+ bash download_data.sh
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+ ```
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+
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+ ### 2. Convert the COCO annotations
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+
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+ Run [`convert_nsd_annotations.py`](convert_nsd_annotations.py) to crop and reorganize the COCO annotations for NSD.
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+
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+ ```bash
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+ python convert_nsd_annotations.py
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+ ```
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+
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+ ### 3. Generate the dataset
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+
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+ Run [`generate_dataset.py`](generate_dataset.py) to generate the huggingface dataset in Arrow format.
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+
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+ ```bash
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+ python generate_dataset.py --img_size 256 --workers 8
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+ ```
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+
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+ ## Citation
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+
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+ If you find this dataset useful, please consider citing:
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+
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+ ```
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+ @article{allen2022massive,
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+ title = {A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence},
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+ 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},
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+ journal = {Nature neuroscience},
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+ volume = {25},
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+ number = {1},
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+ pages = {116--126},
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+ year = {2022},
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+ publisher = {Nature Publishing Group US New York}
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+ }
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+ ```
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+
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+ ```
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+ @misc{lane2023nsdflat,
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+ author = {Connor Lane},
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+ title = {NSD-Flat: Pre-processed brain activity flat maps from the Natural Scenes Dataset},
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+ howpublished = {\url{https://huggingface.co/datasets/clane9/NSD-Flat}},
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+ year = {2023},
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+ }
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+ ```
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+
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+ ## License
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+
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+ Usage of this dataset constitutes agreement to the [NSD Terms and Conditions](https://cvnlab.slite.page/p/IB6BSeW_7o/Terms-and-Conditions).