Benchmarking Table Extraction from Heterogeneous Scientific Extraction Documents
Paper • 2511.16134 • Published
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End of preview. Expand in Data Studio
Benchmarking Table Extraction from Heterogeneous Scientific PDF Documents
Dataset Sources
- Repository: GitLab
Dataset Details
PubTables
- Subset of PubTables-Test dataset, enriched with HTML table ground truth
/images: 42,942 JPG files; one file for each page image/test: 42,942 XML files containing bounding boxes in PASCAL VOC format/pdfs: 23,567 PDF files from which images are taken from/html: 55,991 HTML files containing extracted tables with in HTML mark-up/word: 46,942 JSON files containing bounding boxes of tokens in images
Table-arXiv
- Dataset synthetically generated from LaTeX source files from arXiv preprints for ground truth generation.
/images: 36,869 JPG files; one file for each page image/test: 5,327 XML files containing bounding boxes in PASCAL VOC format/pdfs: 2,488 PDF files from which images are taken from/html: 6,441 HTML files containing extracted tables with in HTML mark-up/word: 40,261 JSON files containing bounding boxes of tokens in images
Table-BRGM
- Dataset manually annotated, domain-specific and comprises French and English geological reports sourced from a selection of BRGM
/images: 2003 JPG files; one file for each page image/test: 251 XML files containing bounding boxes in PASCAL VOC format/pdfs: 26 PDF files from which images are taken from/html: 346 HTML files containing extracted tables with in HTML mark-up/word: 2003 JSON files containing bounding boxes of tokens in images
ICDAR-2013
- Dataset manually corrected from the ICDAR-2013 competition, contains European Union and US Government PDF reports.
/images: 238 JPG files; one file for each page image/test: 135 XML files containing bounding boxes in PASCAL VOC format/pdfs: 67 PDF files from which images are taken from/html: 163 HTML files containing extracted tables with in HTML mark-up/word: 238 JSON files containing bounding boxes of tokens in images
Dataset Creation
For Table-arXiv, we provide the code to generate de dataset (input images and GT annotations) from .tex source code in Repo. We did not include the dataset used because of the license:
arXiv.org - Non-exclusive license to distribute.
Citation
@misc{soric2025benchmarkingtableextractionheterogeneous, title={Benchmarking Table Extraction from Heterogeneous Scientific Extraction Documents}, author={Marijan Soric and Cécile Gracianne and Ioana Manolescu and Pierre Senellart}, year={2025}, eprint={2511.16134}, archivePrefix={arXiv}, primaryClass={cs.DB}, url={https://arxiv.org/abs/2511.16134}, }
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