Update README.md

README.md

@@ -6,15 +6,14 @@ language:
 - en
 ---
 
-This is the Repo for ViDoSeek, a benchmark specifically designed for visually rich document retrieval-reason-answer, fully suited for evaluation of RAG within large document corpus.
+## 🚀Overview
+This is the Repo for ViDoSeek, a benchmark specifically designed for visually rich document retrieval-reason-answer, fully suited for evaluation of RAG within large document corpus. The paper is available at [https://arxiv.org/abs/2502.18017](https://arxiv.org/abs/2502.18017).
 
-The paper of ViDoRAG is available at [arXiv](https://arxiv.org/abs/2502.18017).
-
-ViDoSeek sets itself apart with its heightened difficulty level, attributed to the multi-document context and the intricate nature of its content types, particularly the Layout category. The dataset contains both single-hop and multi-hop queries, presenting a diverse set of challenges.
-
-We have also released the SlideVQA dataset, refined through our pipeline, which we refer to as SlideVQA-Refined. This dataset is suitable for evaluating retrieval-augmented generation tasks as well.
+**ViDoSeek** sets itself apart with its heightened difficulty level, attributed to the multi-document context and the intricate nature of its content types, particularly the Layout category. The dataset contains both single-hop and multi-hop queries, presenting a diverse set of challenges.
 
+We have also released the **SlideVQA-Refined** dataset which is refined through our pipeline. This dataset is suitable for evaluating retrieval-augmented generation tasks as well.
 
+## 🔍Dataset Format
 The annotation is in the form of a JSON file.
 ```json
 {
@@ -37,7 +36,7 @@ The annotation is in the form of a JSON file.
 }
 ```
 
-
+## 📝 Citation
 If you find this dataset useful, please consider citing our paper:
 ```bigquery
 @misc{wang2025vidoragvisualdocumentretrievalaugmented,