D2I-CUHK-Shenzhen/FormStruct-Bench
FormStruct-Bench Dataset Description FormStruct-Bench is a multilingual benchmark for extracting the semantic and spatial structure of forms from document images. The repository combines a 7,000-page main benchmark, a controlled visual-degradation set, and template-level layout annotations. It supports evaluation of vision-language models and document AI systems on hierarchical key-value extraction, document structure recovery, region localization, table and… See the full description on the dataset page: https://huggingface.co/datasets/D2I-CUHK-Shenzhen/FormStruct-Bench.
17.3k
1{2 "sample_name": "ja_2",3 "index": "34",4 "image_path": "datasets/ja_2/34/ja_2-34.png",5 "answer_path": "datasets/ja_2/34/answer.json",6 "answer_verifier_path": "datasets/ja_2/34/answer_verifier.json",7 "model": "gpt-5.5",8 "temperature": 0.0,9 "status": "succeeded",10 "summary": {11 "field_em": 1.0,12 "matched_fields": 33,13 "expected_fields": 33,14 "actual_fields": 33,15 "diff_count": 0,16 "missing_count": 0,17 "mismatch_count": 0,18 "extra_count": 0,19 "status": "ok"20 },21 "problem_fields": []22}23 