Update README.md

README.md

@@ -1,3 +1,42 @@
 ---
 license: apache-2.0
+task_categories:
+- visual-question-answering
+language:
+- en
+size_categories:
+- n<1K
 ---
+## Dataset Details
+
+### Dataset Description
+
+MARVEL is a new comprehensive benchmark dataset that evaluates multi-modal large language models' abstract reasoning abilities in six patterns across five different task configurations, revealing significant performance gaps between humans and SoTA MLLMs.
+
+### Dataset Sources [optional]
+
+- **Repository:** https://github.com/1171-jpg/MARVEL_AVR
+- **Paper [optional]:** https://arxiv.org/abs/2404.13591
+- **Demo [optional]:** https://marvel770.github.io/
+
+## Uses
+
+Evaluations for multi-modal large language models' abstract reasoning abilities.
+
+## Dataset Structure
+
+The directory **images** keeps all images, and the file **marvel_labels.jsonl** provides annotations and explanations for all questions.
+
+## Citation [optional]
+
+**BibTeX:**
+```
+@misc{jiang2024marvel,
+      title={MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning}, 
+      author={Yifan Jiang and Jiarui Zhang and Kexuan Sun and Zhivar Sourati and Kian Ahrabian and Kaixin Ma and Filip Ilievski and Jay Pujara},
+      year={2024},
+      eprint={2404.13591},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```