Link paper and GitHub repository, update task category

README.md

@@ -2,16 +2,19 @@
 language:
 - en
 - zh
-task_categories:
-- visual-question-answering
-pretty_name: OmniMapBench
 size_categories:
 - 1K<n<10K
+task_categories:
+- image-text-to-text
+pretty_name: OmniMapBench
 ---
 
 # OmniMapBench
 
-OmniMapBench is a map-centric visual question answering benchmark. This release contains 2096 QA samples over 1603 unique map images.
+OmniMapBench is a map-centric visual question answering benchmark. This release contains 2,096 QA samples over 1,603 unique map images.
+
+- **Paper:** [OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documents](https://huggingface.co/papers/2607.09068)
+- **Repository:** [SIGMME/OmniMapBench](https://github.com/SIGMME/OmniMapBench)
 
 ## Dataset Structure
 
@@ -25,14 +28,14 @@ data/
 images/
 ```
 
-Each row in metadata.jsonl contains:
-
-- image_path: relative image path inside this dataset repo.
-- id: original QA id.
-- question: question text.
-- choices: answer candidates.
-- answer: ground-truth answer.
-- qa_type: single_choice, multi_choice, or sort.
-- capability_level: level_1, level_2, or level_3.
-- language: en or zh.
-- type: map category.
+Each row in `metadata.jsonl` contains:
+
+- `image_path`: relative image path inside this dataset repo.
+- `id`: original QA id.
+- `question`: question text.
+- `choices`: answer candidates.
+- `answer`: ground-truth answer.
+- `qa_type`: single_choice, multi_choice, or sort.
+- `capability_level`: level_1, level_2, or level_3.
+- `language`: en or zh.
+- `type`: map category.