Add link to paper, correct task category

This PR ensures the dataset is linked to https://huggingface.co/papers/2502.06787 and has the correct task category

README.md

@@ -1,11 +1,11 @@
 ---
-license: cc-by-nc-4.0
-task_categories:
-- visual-question-answering
 language:
 - en
+license: cc-by-nc-4.0
 size_categories:
 - 1K<n<10K
+task_categories:
+- image-question-answering
 dataset_info:
   features:
   - name: image_index
@@ -32,8 +32,9 @@ configs:
   - split: train
     path: data/train-*
 ---
+
 # Omni3D-Bench
-This repository contains the Omni3D-Bench dataset introduced in the paper [Visual Agentic AI for Spatial Reasoning with a Dynamic API]() Omni3D-Bench contains 500 challenging (image, question, answer) tuples of diverse, real-world scenes sourced from [Omni3D](https://github.com/facebookresearch/omni3d) for complex 3D spatial reasoning.
+This repository contains the Omni3D-Bench dataset introduced in the paper [Visual Agentic AI for Spatial Reasoning with a Dynamic API](https://huggingface.co/papers/2502.06787) Omni3D-Bench contains 500 challenging (image, question, answer) tuples of diverse, real-world scenes sourced from [Omni3D](https://github.com/facebookresearch/omni3d) for complex 3D spatial reasoning.
 
 View samples from the dataset [here](https://glab-caltech.github.io/vadar/omni3d-bench.html).