Add link to paper and video classification task category (#2)

- Add link to paper and video classification task category (842e45b3a5e579b29479efb94ec71d4c68ebdc8b)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -30,11 +30,13 @@ configs:
   data_files:
   - split: test
     path: data/test-*
+task_categories:
+- video-classification
 ---
 
 # VideoEval-Pro
 
-VideoEval-Pro is a robust and realistic long video understanding benchmark containing open-ended, short-answer QA problems. The dataset is constructed by reformatting questions from four existing long video understanding MCQ benchmarks: Video-MME, MLVU, LVBench, and LongVideoBench into free-form questions.
+VideoEval-Pro is a robust and realistic long video understanding benchmark containing open-ended, short-answer QA problems. The dataset is constructed by reformatting questions from four existing long video understanding MCQ benchmarks: Video-MME, MLVU, LVBench, and LongVideoBench into free-form questions. The paper can be found [here](https://huggingface.co/papers/2505.14640).
 
 The evaluation code and scripts are available at: [TIGER-AI-Lab/VideoEval-Pro](https://github.com/TIGER-AI-Lab/VideoEval-Pro)
 
@@ -140,4 +142,4 @@ Each example in the dataset contains:
        --num_frames 32 \
        --max_retries 10 \
        --num_threads 1
-   ```
+   ```