add arXiv and Google Colab demo to README

README.md

@@ -54,26 +54,33 @@ The dataset is provided in TSV format, with the following structure:
   - C: Tuberculose cavitária
   - D: Bronquiectasia com infecção
 - **Correct Answer**: B
-  ![example](src/example.png)
+  <img src="src/example.png" alt="example" width="800"/>
+  
 
 ### Evaluate models/results:
 
-  ![results](src/results.png)
+  <img src="src/results.png" alt="results" width="800"/>
+
 
 ## Download and Usage
 
 The dataset can be downloaded from [Hugging Face datasets page](https://huggingface.co/datasets/WorldMedQA/V). All code for handling and evaluating the dataset is available in the following repositories:
 - **Dataset Code**: [WorldMedQA GitHub repository](https://github.com/WorldMedQA/V)
 - **Evaluation Code**: [VLMEvalKit GitHub repository](https://github.com/WorldMedQA/VLMEvalKit/tree/main)
+  
+**Where and How to start?**: [Google Colab Demo](https://colab.research.google.com/drive/16bw_7_sUTajNRZFunRNo3wqnL_tQWk6O)
 
 ## Citation
 
-Please cite this dataset as follows:
+Please cite this dataset using our arXiv preprint:
 
 ```bibtex
-@article{WorldMedQA-V2024,
-  title={WorldMedQA-V: A Multilingual, Multimodal Medical Examination Dataset},
-  author={Matos and Chen et al.},
-  journal={Preprint},
-  year={2024},
+@misc{WorldMedQA-V2024,
+      title={WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation}, 
+      author={João Matos and Shan Chen and Siena Placino and Yingya Li and Juan Carlos Climent Pardo and Daphna Idan and Takeshi Tohyama and David Restrepo and Luis F. Nakayama and Jose M. M. Pascual-Leone and Guergana Savova and Hugo Aerts and Leo A. Celi and A. Ian Wong and Danielle S. Bitterman and Jack Gallifant},
+      year={2024},
+      eprint={2410.12722},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2410.12722}, 
 }