Update README.md

README.md

@@ -6,6 +6,42 @@ language:
 - en
 tags:
 - finance
+- table-text
+- visual-document-QA
+- numerical-reasoning
 size_categories:
 - 10K<n<100K
----
+---
+
+# TAT-DQA 
+
+- [**Project Page**](https://nextplusplus.github.io/TAT-DQA/)
+- [**Paper - MM 22**](https://dl.acm.org/doi/abs/10.1145/3503161.3548422) 
+- [**Paper - Arxiv**](https://arxiv.org/abs/2207.11871) 
+- [**Github**](https://github.com/NExTplusplus/TAT-DQA)
+- [**Leaderboard**](https://nextplusplus.github.io/TAT-DQA/#leaderboard)
+
+  
+**TAT-DQA** is a large-scale Document VQA dataset, which is constructed by extending the TAT-QA. It aims to stimulate the progress of QA research over more complex and realistic **visually-rich documents** with rich tabular and textual content, especially those requiring numerical reasoning.
+
+The unique features of TAT-DQA include:
+
+- The documents in TAT-DQA dataset are sampled from real-world high-quality financial reports and each document contains both tabular and textual data;
+- The average number of words of each document in TAT-DQA is around 550, which is significantly larger than all existing Document VQA datasets.
+- Around 85% of the documents in the dataset have only one page while 15% has multiple pages.
+- Similar to TAT-QA, the answer forms are diverse, including single span, multiple spans and free-form and various numerical reasoning capabilities are usually required, including addition (+), subtraction (-), multiplication (x), division (/), counting, comparison, sorting, and their compositions;
+
+
+In total, TAT-DQA contains 16,558 questions associated with 2,758 documents ( 3,067 document pages ) sampled from real-world financial reports.
+
+
+## Citation
+```python
+@inproceedings{zhu2022towards,
+  title={Towards complex document understanding by discrete reasoning},
+  author={Zhu, Fengbin and Lei, Wenqiang and Feng, Fuli and Wang, Chao and Zhang, Haozhou and Chua, Tat-Seng},
+  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
+  pages={4857--4866},
+  year={2022}
+}
+```