Add link to paper and update task categories

README.md

@@ -1,25 +1,24 @@
 ---
-license: apache-2.0
-task_categories:
-- visual-question-answering
-- question-answering
 language:
 - en
+license: apache-2.0
+size_categories:
+- 1M<n<10M
+task_categories:
+- image-text-to-text
+pretty_name: NSD-VQA
 tags:
 - neuroscience
 - fmri
 - vqa
 - brain-decoding
-pretty_name: NSD-VQA
-size_categories:
-- 1M<n<10M
 ---
 
 # NSD-VQA
 
 **NSD-VQA** is a large-scale visual question answering benchmark for studying what visual and semantic information can be decoded from human fMRI responses to natural images.
 
-It is introduced in **Brain-IT-VQA: From Brain Signals to Answers**.
+It is introduced in the paper [Brain-IT-VQA: From Brain Signals to Answers](https://huggingface.co/papers/2605.29588).
 
 🔗 **Project page:** https://mcosarinsky.github.io/brain-it-vqa/
 
@@ -86,7 +85,7 @@ If you use this dataset, please cite:
 ```bibtex
 @article{beliy2026brainitvqa,
   title={Brain-IT-VQA: From Brain Signals to Answers},
-  author={Beliy, Roman and others},
+  author={Beliy, Roman and Cosarinsky, Matias and Heinimann, Oliver and Wasserman, Navve and Irani, Michal},
   year={2026}
 }
 ```