| | --- |
| | license: other |
| | dataset_info: |
| | features: |
| | - name: subject_id |
| | dtype: int64 |
| | - name: trial_id |
| | dtype: int64 |
| | - name: session_id |
| | dtype: int64 |
| | - name: nsd_id |
| | dtype: int64 |
| | - name: image |
| | dtype: image |
| | - name: activity |
| | dtype: image |
| | - name: subject |
| | dtype: string |
| | - name: flagged |
| | dtype: bool |
| | - name: BOLD5000 |
| | dtype: bool |
| | - name: shared1000 |
| | dtype: bool |
| | - name: coco_split |
| | dtype: string |
| | - name: coco_id |
| | dtype: int64 |
| | - name: objects |
| | struct: |
| | - name: area |
| | sequence: int64 |
| | - name: bbox |
| | sequence: |
| | sequence: float64 |
| | - name: category |
| | sequence: string |
| | - name: iscrowd |
| | sequence: int64 |
| | - name: segmentation |
| | list: |
| | - name: counts |
| | dtype: string |
| | - name: poly |
| | sequence: |
| | sequence: float64 |
| | - name: size |
| | sequence: int64 |
| | - name: supercategory |
| | sequence: string |
| | - name: target |
| | sequence: int64 |
| | - name: captions |
| | sequence: string |
| | - name: repetitions |
| | struct: |
| | - name: subject1_rep0 |
| | dtype: int64 |
| | - name: subject1_rep1 |
| | dtype: int64 |
| | - name: subject1_rep2 |
| | dtype: int64 |
| | - name: subject2_rep0 |
| | dtype: int64 |
| | - name: subject2_rep1 |
| | dtype: int64 |
| | - name: subject2_rep2 |
| | dtype: int64 |
| | - name: subject3_rep0 |
| | dtype: int64 |
| | - name: subject3_rep1 |
| | dtype: int64 |
| | - name: subject3_rep2 |
| | dtype: int64 |
| | - name: subject4_rep0 |
| | dtype: int64 |
| | - name: subject4_rep1 |
| | dtype: int64 |
| | - name: subject4_rep2 |
| | dtype: int64 |
| | - name: subject5_rep0 |
| | dtype: int64 |
| | - name: subject5_rep1 |
| | dtype: int64 |
| | - name: subject5_rep2 |
| | dtype: int64 |
| | - name: subject6_rep0 |
| | dtype: int64 |
| | - name: subject6_rep1 |
| | dtype: int64 |
| | - name: subject6_rep2 |
| | dtype: int64 |
| | - name: subject7_rep0 |
| | dtype: int64 |
| | - name: subject7_rep1 |
| | dtype: int64 |
| | - name: subject7_rep2 |
| | dtype: int64 |
| | - name: subject8_rep0 |
| | dtype: int64 |
| | - name: subject8_rep1 |
| | dtype: int64 |
| | - name: subject8_rep2 |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 26695182666.0 |
| | num_examples: 195000 |
| | - name: test |
| | num_bytes: 2461280671.0 |
| | num_examples: 18000 |
| | download_size: 22565691383 |
| | dataset_size: 29156463337.0 |
| | task_categories: |
| | - image-to-image |
| | - object-detection |
| | tags: |
| | - biology |
| | - neuroscience |
| | - fmri |
| | size_categories: |
| | - 100K<n<1M |
| | --- |
| | |
| | # NSD-Flat |
| | [[`GitHub`]](https://github.com/clane9/NSD-Flat) [[🤗 `Hugging Face Hub`]](https://huggingface.co/datasets/clane9/NSD-Flat) |
| |
|
| | 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. |
| |
|
| | ## Load the dataset |
| |
|
| | Load the dataset from [Hugging Face Hub](https://huggingface.co/datasets/clane9/NSD-Flat) |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | dataset = load_dataset("clane9/NSD-Flat", split="train") |
| | ``` |
| |
|
| | ## Building the dataset |
| |
|
| | ### 1. Download source data |
| |
|
| | Run [`download_data.sh`](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 |
| | bash download_data.sh |
| | ``` |
| |
|
| | ### 2. Convert the COCO annotations |
| |
|
| | Run [`convert_nsd_annotations.py`](convert_nsd_annotations.py) to crop and reorganize the COCO annotations for NSD. |
| |
|
| | ```bash |
| | python convert_nsd_annotations.py |
| | ``` |
| |
|
| | ### 3. Generate the dataset |
| |
|
| | Run [`generate_dataset.py`](generate_dataset.py) to generate the huggingface dataset in Arrow format. |
| |
|
| | ```bash |
| | 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](https://cvnlab.slite.page/p/IB6BSeW_7o/Terms-and-Conditions). |