Update README.md

README.md

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-Welcome to VietMed-VQA, a novel Vietnamese dataset for medical visual question answering, introduced in the paper "VietMed-VQA: A Novel Dataset and Benchmark for Vietnamese Medical Visual Question Answering" by Trong-Hieu Nguyen-Mau, et.al. It comprises ~50,000 high-quality QA pairs translated from established English benchmarks (PathVQA, SLAKE, VQA-RAD) using Llama-3.1-70B-Instruct with rigorous quality controls like back-translation and semantic filtering.
-This dataset supports fine-tuning and evaluation of VLMs for Vietnamese healthcare AI. Images are not included here; refer to the original English datasets for visuals:
+Welcome to VietMed-VQA, a novel Vietnamese dataset for medical visual question answering, introduced in the paper 
+
+# "VietMed-VQA: A Novel Dataset and Benchmark for Vietnamese Medical Visual Question Answering" by Trong-Hieu Nguyen-Mau et al. 
+
+It comprises ~50,000 high-quality QA pairs translated from established English benchmarks (PathVQA, SLAKE, VQA-RAD) using Llama-3.1-70B-Instruct with rigorous quality controls like back-translation and semantic filtering. This dataset supports fine-tuning and evaluation of VLMs for Vietnamese healthcare AI. Images are not included here; refer to the original English datasets for visuals:
 
 PathVQA: flaviagiammarino/path-vqa
+
 SLAKE: mdwiratathya/SLAKE-vqa-english
+
 VQA-RAD: flaviagiammarino/vqa-rad
+
 MedVQA: agupte/MedVQA
+
 WorldMedQA-V: WorldMedQA/V