Update README.md

README.md

@@ -13,9 +13,14 @@ OpenViVQA: Open-domain Vietnamese Visual Question Answering
 
 ![examples](data_examples.png)
 
-The OpenViVQA dataset contains <b>11,000+</b> images with <b>37,000+</b> question-answer pairs which introduces the Text-based Open-ended Visual Question Answering in Vietnamese. This dataset is publicly available to research community in the VLSP 2023 - ViVRC shared task challenge. You can access the dataset as well as submit your results to evaluate on the private test set on the [Codalab](https://codalab.lisn.upsaclay.fr/competitions/15212#participate) evaluation system.
+The OpenViVQA dataset contains <b>11,000+</b> images with <b>37,000+</b> question-answer pairs which introduces the Text-based Open-ended Visual Question Answering in Vietnamese. This dataset is publicly available to the research community in the VLSP 2023 - ViVRC shared task challenge. You can access the dataset as well as submit your results to evaluate on the private test set on the [Codalab](https://codalab.lisn.upsaclay.fr/competitions/15212#participate) evaluation system.
 
-If you mention or use any information of our dataset, please cite to our paper:
+Link to the OpenViVQA dataset:
+- [Train images](train-images.zip) + [train annotations](vlsp2023_train_data.json).
+- [Dev images](dev-images.zip) + [dev annotations](vlsp2023_dev_data.json).
+- [Test images](test-images.zip) + [test annotations (without answers)](vlsp2023_test_data.json).
+
+If you mention or use any information from our dataset, please cite our paper:
 ```
 @article{NGUYEN2023101868,
 title = {OpenViVQA: Task, dataset, and multimodal fusion models for visual question answering in Vietnamese},