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  1. README.md +85 -0
  2. eval-iabooks.parquet +3 -0
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README.md ADDED
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+ ---
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+ license: odc-by
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+ configs:
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+ - config_name: 00_documents
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+ data_files:
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+ - split: train_s2pdf
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+ path:
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+ - "train-s2pdf.parquet"
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+ - split: eval_s2pdf
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+ path:
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+ - "eval-s2pdf.parquet"
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+ - config_name: 01_books
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+ data_files:
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+ - split: train_iabooks
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+ path:
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+ - "train-iabooks.parquet"
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+ - split: eval_iabooks
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+ path:
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+ - "eval-iabooks.parquet"
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+ ---
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+
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+ # olmOCR-mix-0225
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+ olmOCR-mix-0225 is a dataset of ~250,000 PDF pages which have been OCRed into plain-text in a natural reading order using gpt-4o-2024-08-06 and a special
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+ prompting strategy that preserves any born-digital content from each page.
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+
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+ This dataset can be used to train, fine-tune, or evaluate your own OCR document pipeline.
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+
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+ Quick links:
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+ - 📃 [Paper](https://olmocr.allenai.org/papers/olmocr.pdf)
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+ - 🤗 [Model](https://huggingface.co/allenai/olmOCR-7B-0225-preview)
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+ - 🛠️ [Code](https://github.com/allenai/olmocr)
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+ - 🎮 [Demo](https://olmocr.allenai.org/)
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+
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+ ## Data Mix
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+
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+ ## Table 1: Training set composition by source
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+ | Source | Unique docs | Total pages |
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+ |--------|-------------|-------------|
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+ | Web crawled PDFs | 99,903 | 249,332 |
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+ | Internet Archive books | 5,601 | 16,803 |
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+ | **Total** | **105,504** | **266,135** |
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+
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+ Web crawled PDFs are sampled from a set of over 240 million documents crawled from public websites. Books in the Internet Archive set are in the public domain.
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+
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+ ## Table 2: Web PDFs breakdown by document type
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+ | Document type | Fraction |
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+ |---------------|----------|
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+ | Academic | 60% |
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+ | Brochure | 12% |
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+ | Legal | 11% |
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+ | Table | 6% |
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+ | Diagram | 5% |
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+ | Slideshow | 2% |
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+ | Other | 4% |
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+
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+ Distribution is estimating by sampling 707 pages, which are classified using *gpt-4o-2024-11-20*.
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+
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+ ## Data Format
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+
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+ Each row in the dataset corresponds to a single page, extracted at random, from a source PDF and transformed into plain text.
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+
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+ No source PDF has had more than 3 random pages extracted from it.
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+
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+ Each extracted page is available as a standalone .pdf file, under the `pdf_tarballs/` directory.
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+
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+ ### Features:
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+ ```python
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+ {
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+ 'url': string, # Original URL of the PDF document
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+ 'page_number': int, # Page number within the document, 1-indexed
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+ 'id': string, # ID into /pdfs files folder
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+ 'response': { # OCRed Page information as JSON blob
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+ 'primary_language': string,
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+ 'is_rotation_valid': bool,
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+ 'rotation_correction': int,
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+ 'is_table': bool,
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+ 'is_diagram': bool,
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+ 'natural_text': str # The actual text of the PDF is here
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+ }
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+ }
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+ ```
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+
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+ ## License
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+ This dataset is licensed under ODC-BY-1.0. It is intended for research and educational use in accordance with AI2's [Responsible Use Guidelines](https://allenai.org/responsible-use).
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+ The responses were generated from GPT-4o and GPT-4o is subject to OpenAI's [terms of use](https://openai.com/policies/row-terms-of-use).
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