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YAML Metadata Warning: The task_categories "document-classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata Warning: The task_categories "text-recognition" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Turkish Documents Dataset (PDF)

This dataset contains a curated collection of Turkish-language documents in PDF format. The corpus includes books, research papers, news articles, educational materials, and public-domain government publications written in Turkish. It is designed to support AI research in OCR, multilingual document understanding, and text extraction.

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 Turkish
  • Supported Tasks:

    • Extraction of printed Turkish text from PDF files
    • Classification of documents by domain (academic, educational, literary, news)
    • OCR for Turkish diacritics and Latin-script variations
    • Benchmarking AI models for Turkish-language document parsing and understanding

Languages

  • Primary Language: Turkish
  • Secondary Presence: English and Arabic-origin words commonly used in Turkish text

Dataset Creation

Curation Rationale

The dataset was curated to improve AI systems’ ability to process Turkish-language documents with varied formatting, structure, and vocabulary. It supports multilingual OCR and research in digital archiving of Turkish text sources.

Source Data

  • Contributors: Public Turkish archives, educational repositories, and open-access digital libraries.
  • Collection Process: All PDFs were sourced from open-license or public-domain repositories that permit reuse for AI training and research.

Other Known Limitations

  • Bias: Primarily academic and formal Turkish; fewer informal or dialectal documents
  • Format Variation: Some PDFs contain scanned pages or mixed Turkish-English content
  • Regional Coverage: Focused on Standard Turkish; limited inclusion of Ottoman Turkish or regional dialects

Intended Uses

βœ… Direct Use

  • Training and evaluation of OCR models for Turkish text
  • Research in multilingual document understanding
  • Digitization of Turkish-language educational and governmental archives

❌ Out-of-Scope Use

  • Extracting or identifying personal or sensitive data
  • Commercial redistribution of copyrighted materials
  • Use in handwriting analysis, surveillance, or profiling

License

CC BY 4.0

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