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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.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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verifier_report.json23 linesDownload Raw Back to 34
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 
D2I-CUHK-Shenzhen/FormStruct-Bench · CoolFace