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Spanish Documents Dataset (PDF)

This dataset contains a curated collection of Spanish-language documents in PDF format. It includes books, educational materials, research papers, news articles, and government publications written in Spanish. The dataset supports AI research in OCR, multilingual document understanding, and text extraction for Latin-script languages.

Contact

For queries or collaborations related to this dataset, contact:

Supported Tasks

  • Task Categories:

    • Document Classification
    • OCR and Text Recognition
    • Layout and Structure Analysis
    • Language Modeling for Spanish
  • Supported Tasks:

    • Extraction of Spanish text from PDF documents
    • Classification of documents by domain (academic, legal, educational, literary)
    • OCR for printed Spanish text with diacritics and mixed-language layouts
    • Benchmarking AI systems for Spanish-language document parsing and understanding

Languages

  • Primary Language: Spanish
  • Secondary Presence: English, Portuguese, and regional dialectal variations (common in bilingual or Latin American documents)

Dataset Creation

Curation Rationale

This dataset was curated to help AI researchers and developers build and evaluate models capable of understanding Spanish-language PDFs, handling diverse fonts, layouts, and mixed multilingual text structures.

Source Data

  • Contributors: Public Spanish-language repositories, educational archives, and open-access document sources.
  • Collection Process: All PDFs were collected from open-license or public-domain sources to ensure legal and ethical reuse.

Other Known Limitations

  • Bias: Predominantly Standard Spanish from Spain and Latin America; limited dialectal or informal text representation
  • Format Variation: Includes both text-based and scanned PDF documents
  • Content Scope: Focused mainly on formal and educational content

Intended Uses

βœ… Direct Use

  • Training and evaluation of OCR models for Spanish-language text
  • Research in multilingual document understanding and digitization
  • AI-powered document archiving and content classification

❌ Out-of-Scope Use

  • Extracting or profiling individuals from document content
  • Commercial redistribution of copyrighted materials
  • Use in surveillance, handwriting identification, or behavioral analysis

License

CC BY 4.0

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