Datasets:
metadata
language:
- en
- zh
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 2,096 QA samples over 1,603 unique map images.
- Paper: OmniMapBench: Benchmarking Visual-Centric Reasoning on Diverse Map Documents
- Repository: SIGMME/OmniMapBench
Dataset Structure
The repository is organized as:
README.md
dataset_infos.json
metadata.jsonl
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.