Update README.md

README.md

@@ -1,3 +1,36 @@
+
+---
+license: mit
+task_categories:
+- visual-question-answering
+tags:
+- generative-vqa
+- multimodal
+- vqa-v2
+pretty_name: Generative-VQA-V2 (Curated)
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: 
+    - "metadata.csv"
+    - "gen_vqa_v2-images.zip"
+dataset_info:
+  features:
+    - name: image_id
+      dtype: int64
+    - name: question_id
+      dtype: int64
+    - name: question
+      dtype: string
+    - name: answer
+      dtype: string
+    - name: image_path
+      dtype: image
+---
+
 # Generative-VQA-V2-Curated
 
 A curated, balanced, and cleaned version of the VQA v2 dataset specifically optimized for **Generative Visual Question Answering**.
@@ -85,40 +118,9 @@ If you use this dataset in your research or project, please cite it as follows:
 ```bibtex
 @misc{devarajan_genvqa_2026,
   author = {Devarajan},
-  title = {Generative-VQA-V2-Curated: A Balanced Dataset for Open-Ended VQA},
+  title = {Generative-VQA-V2-Curated: A Balanced Dataset for Open-Ended Generative VQA},
   year = {2026},
   publisher = {Hugging Face},
-  howpublished = {\url{[https://huggingface.co/datasets/Deva8/Generative-VQA-V2-Curated](https://huggingface.co/datasets/Deva8/Generative-VQA-V2-Curated)}}
+  howpublished = {\url{https://huggingface.co/datasets/Deva8/Generative-VQA-V2-Curated}}
 }
-```
-
----
-license: mit
-task_categories:
-- visual-question-answering
-tags:
-- generative-vqa
-- multimodal
-- vqa-v2
-pretty_name: Generative-VQA-V2 (Curated)
-size_categories:
-- 100K<n<1M
-configs:
-- data_files:
-    - split: train
-      path: 
-      - "metadata.csv"
-      - "gen_vqa_v2-images.zip"
-dataset_info:
-  features:
-    - name: image_id
-      dtype: int64
-    - name: question_id
-      dtype: int64
-    - name: question
-      dtype: string
-    - name: answer
-      dtype: string
-    - name: image_path
-      dtype: image  
----
+```