Add Hugging Face paper link and refine task categories (#2)

- Add Hugging Face paper link and refine task categories (950a7bb7d2c518b1e03eb959db56ea61fd54db01)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,17 +1,18 @@
 ---
-license: apache-2.0
-task_categories:
-- visual-question-answering
-- question-answering
 language:
 - ko
+license: apache-2.0
 size_categories:
 - n<1K
+task_categories:
+- visual-question-answering
+- question-answering
+- image-text-to-text
 ---
 
 # About this data
-[KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language](https://arxiv.org/abs/2503.23730)
+[KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language](https://huggingface.co/papers/2503.23730)
 
 KOFFVQA is a general-purpose VLM benchmark in the Korean language. For more information, refer to [our leaderboard page](https://huggingface.co/spaces/maum-ai/KOFFVQA-Leaderboard) and the official [evaluation code](https://github.com/maum-ai/KOFFVQA).
 
-This contains the data for the benchmark consisting of images, their corresponding questions, and response grading criteria.
+This contains the data for the benchmark consisting of images, their corresponding questions, and response grading criteria.  The benchmark focuses on free-form visual question answering, evaluating the ability of large vision-language models to generate comprehensive and accurate text responses to questions about images.