Update README.md

README.md

@@ -83,6 +83,8 @@ size_categories:
 
 DocVQA dataset is a document dataset introduced in Mathew et al. (2021) consisting of 50,000 questions defined on 12,000+ document images. 
 
+Please visit the challenge page (https://rrc.cvc.uab.es/?ch=17) and paper (https://arxiv.org/abs/2007.00398) for further information.
+
 ### Usage
 
 This dataset can be used with current releases of Hugging Face `datasets` library. 
@@ -155,7 +157,9 @@ print(dataset["train"][0]['answers'])
 
 ### Dataset Curators
 
-Pablo Montalvo, Ross Wightman
+For original authors of the dataset, see citation below.
+
+Hugging Face points of contact for this instance: Pablo Montalvo, Ross Wightman
 
 ### Licensing Information
 
@@ -163,4 +167,12 @@ MIT
 
 ### Citation Information
 
-Mathew, Minesh, Dimosthenis Karatzas, and C. V. Jawahar. "Docvqa: A dataset for vqa on document images." Proceedings of the IEEE/CVF winter conference on applications of computer vision. 20
+```bibtex
+@InProceedings{docvqa_wacv,
+    author    = {Mathew, Minesh and Karatzas, Dimosthenis and Jawahar, C.V.},
+    title     = {DocVQA: A Dataset for VQA on Document Images},
+    booktitle = {WACV},
+    year      = {2021},
+    pages     = {2200-2209}
+}
+```