Datasets:

TheFinAI
/

es-ocr-source-pdfs

pretty_name: MultiFinBen Spanish OCR source documents
license: other
license_name: third-party-source-documents
language:
  - es
  - en
task_categories:
  - image-to-text
tags:
  - finance
  - ocr
  - raw-documents
  - thefinai
  - multifinben
extra_gated_heading: Request access (manual review)
extra_gated_description: >-
  These are third-party source documents collected to build the MultiFinBen OCR
  benchmarks. Requests are reviewed manually; please use your institutional
  email and describe your research use.
extra_gated_button_content: Submit request
extra_gated_prompt: >-
  This repository contains documents published by the respective regulators /
  filers. The Fin AI does not own these documents and grants no license to them.
  By requesting access you agree to: (1) use them only for non-commercial
  research; (2) not redistribute them; (3) comply with the publishers' terms;
  (4) delete your copy upon request by The Fin AI or a rights holder.
extra_gated_fields:
  Full name: text
  Affiliation (university / institute): text
  Institutional email: text
  Country: country
  Research purpose: text
  I will use these documents for non-commercial research only: checkbox
  I will not redistribute these documents: checkbox
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MultiFinBen Spanish OCR source documents

📄 Paper · 💻 Code · 🌐 The Fin AI

Raw source documents behind the OCR tasks of MultiFinBen — MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application (arXiv:2506.14028). Formerly TheFinAI/MultiFinBen_OCR_Task (the old name redirects here).

This is not an evaluation set. For the curated OCR benchmarks use en-ocr, es-ocr, gr-ocr and jp-ocr.

Sources: Peruvian financial regulatory documents and some U.S. SEC EDGAR filings.
Layout: Spanish/Peru/ PDFs and spanish_images/Peru/ page images; downloads_2025_onwards/ SEC filings; root-level *.json files are OCR outputs of several models (e.g. GPT-4o, Gemma-3n, Llama-4-Scout) kept for reference.

License and terms

The documents remain the property of the respective regulators / filers; they are provided here only to support research reproducibility. The Fin AI grants no license to the documents themselves. Access is reviewed manually.

Citation

@misc{peng2025multifinbenbenchmarkinglargelanguage,
      title={MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application}, 
      author={Xueqing Peng and Lingfei Qian and Yan Wang and Ruoyu Xiang and Yueru He and Yang Ren and Mingyang Jiang and Vincent Jim Zhang and Yuqing Guo and Jeff Zhao and Huan He and Yi Han and Yun Feng and Yuechen Jiang and Yupeng Cao and Haohang Li and Yangyang Yu and Xiaoyu Wang and Penglei Gao and Shengyuan Lin and Keyi Wang and Shanshan Yang and Yilun Zhao and Zhiwei Liu and Peng Lu and Jerry Huang and Suyuchen Wang and Triantafillos Papadopoulos and Polydoros Giannouris and Efstathia Soufleri and Nuo Chen and Zhiyang Deng and Heming Fu and Yijia Zhao and Mingquan Lin and Meikang Qiu and Kaleb E Smith and Arman Cohan and Xiao-Yang Liu and Jimin Huang and Guojun Xiong and Alejandro Lopez-Lira and Xi Chen and Junichi Tsujii and Jian-Yun Nie and Sophia Ananiadou and Qianqian Xie},
      year={2025},
      eprint={2506.14028},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2506.14028}, 
}

MultiFinBen Spanish OCR source documents

Contents

License and terms

Citation