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- license: mit
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+ ---
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+ license: mit
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+ ---
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+
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+ # FBI Jeffrey Epstein Documents – OCR Text Dataset
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+
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+ ## Introduction
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+
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+ The FBI has released **22 files related to Jeffrey Epstein** through its public records system.
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+ This dataset was created by extracting textual content from all released documents using an **OCR-based model**.
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+ - **OCR model used:** https://mistral.ai/news/mistral-ocr
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+ - **Original document source:** https://vault.fbi.gov/jeffrey-epstein
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+ The final dataset contains **1,413 rows**, where each row corresponds to OCR-extracted text from a specific page of a document, along with its page number and filename.
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+ ---
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+
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+ ## Dataset Overview
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+ - **Total files processed:** 22
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+ - **Total rows:** 1,413
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+ - **Extraction method:** OCR-based text extraction
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+ - **Dataset format:** CSV
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+
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+ ### Columns
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+ | Column Name | Description |
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+ |---------------|-------------|
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+ | `pagenumber` | Page number within the source document |
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+ | `textcontents`| Textual content extracted using the OCR model |
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+ | `filename` | Name of the file from which the text was extracted |
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+
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+ ---
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+
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+ ## Dataset Structure
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+
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+ - **File format:** CSV
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+ - **Granularity:** Page-level text extraction
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+ - Each row represents the OCR text extracted from a single page of a source document.
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+
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+ ---
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+
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+ ## Original Source
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+ - **FBI Vault – Jeffrey Epstein:** https://vault.fbi.gov/jeffrey-epstein
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+ The original underlying documents were released through U.S. government sources and remain subject to their original terms and conditions.
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+
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+ ---
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+
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+ ## Legal and Copyright Status (Non-Authoritative)
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+ The original documents were created by various private individuals and entities, not by the dataset maintainer.
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+ The documents are sourced from releases published by the **U.S. House Committee on Oversight and Government Reform**.
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+ The release webpages themselves carry standard copyright notices (© 2025 Committee on Oversight and Government Reform), and many individual documents may be protected by copyright held by their original authors or rights holders.
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+ This dataset:
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+ - Does **not** assert ownership over the underlying documents
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+ - Does **not** grant any license to reproduce, distribute, or create derivative works from the underlying texts beyond what may already be permitted by law (e.g., fair use or similar doctrines)
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+ - Is provided solely as an OCR-extracted text corpus for research and exploratory analysis
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+ Users are solely responsible for ensuring that their use of this dataset complies with applicable **copyright law, privacy law, institutional policies, and the terms of the original releases**.
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+ Nothing in this dataset card constitutes legal advice.
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+ If you plan to use this corpus in a public-facing product, for model training, or at scale, you should seek independent legal counsel.
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+
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+ ---
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+
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+ ## Ethical and Content Warning
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+ This dataset contains **highly sensitive material**, including references to:
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+ - Sexual abuse and exploitation
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+ - Human trafficking
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+ - Violence and other traumatic subject matter
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+ - Unverified allegations, opinions, or speculation
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+ Users should handle this content with appropriate care and sensitivity.
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+
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+ ---
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+ ## Intended and Prohibited Uses
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+ ### Intended Uses
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+ - Academic research
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+ - Exploratory text analysis
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+ - Transparency and accountability research
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+ - Journalism support and document review
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+
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+ ### Not Intended For
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+ - Fine-tuning or training language models
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+ - Harassment, doxing, or targeted attacks on any individual or group
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+ - Attempts to deanonymize redacted information or circumvent existing redactions
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+ - Presenting unverified allegations as established facts
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+ All use must comply with applicable laws, institutional policies, and the terms of the original document releases.
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+ ---
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+ **Reminder:** This dataset contains sensitive content. Use responsibly and ethically.