Add task categories, license, and links to paper and code

README.md

@@ -1,8 +1,16 @@
+---
+license: cc-by-nc-4.0
+task_categories:
+- video-text-to-text
+---
+
 # ST-Evidence Benchmark Dataset
 
 ST-Evidence is a comprehensive benchmark for evaluating Spatial-Temporal Evidence generation in video understanding. It contains two tasks: **Generation (Gen)** and **Multiple Choice Question (MCQ)**.
 
-This was released for research purposes only, in support of the academic paper Evidence-Backed Video Question Answering.
+This dataset was released in support of the paper [Evidence-Backed Video Question Answering](https://huggingface.co/papers/2607.11862).
+
+- **Code:** [GitHub - SalesforceAIResearch/EVQA](https://github.com/SalesforceAIResearch/EVQA)
 
 ## Dataset Overview
 
@@ -152,10 +160,11 @@ snapshot_download(
 If you use this dataset, please cite:
 
 ```bibtex
-@article{st-evidence2025,
-  title={ST-Evidence: A Benchmark for Spatial-Temporal Evidence in Video Understanding},
-  author={Wang, Shijie and others},
-  year={2025}
+@inproceedings{wang2026evidence,
+  title={Evidence-Backed Video Question Answering},
+  author={Wang, Shijie and Zhou, Honglu and Wang, Ziyang and Xu, Ran and Xiong, Caiming and Savarese, Silvio and Sun, Chen and Niebles, Juan Carlos},
+  booktitle={European Conference on Computer Vision (ECCV)},
+  year={2026}
 }
 ```
 
@@ -168,4 +177,4 @@ CC-BY-NC 4.0
 
 - **Version**: 1.0
 - **Release Date**: 2026-07-TBD
-- **Total Size**: ~10.4 GB (compressed)
+- **Total Size**: ~10.4 GB (compressed)