README.md

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license: mit
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# FBI Jeffrey Epstein Documents – OCR Text Dataset

## Introduction

The FBI has released **22 files related to Jeffrey Epstein** through its public records system.  
This dataset was created by extracting textual content from all released documents using an **OCR-based model**.

- **OCR model used:** https://mistral.ai/news/mistral-ocr  
- **Original document source:** https://vault.fbi.gov/jeffrey-epstein  

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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## Dataset Overview

- **Total files processed:** 22  
- **Total rows:** 1,413  
- **Extraction method:** OCR-based text extraction  
- **Dataset format:** CSV  

### Columns

| Column Name    | Description |
|---------------|-------------|
| `pagenumber`  | Page number within the source document |
| `textcontents`| Textual content extracted using the OCR model |
| `filename`    | Name of the file from which the text was extracted |

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## Dataset Structure

- **File format:** CSV  
- **Granularity:** Page-level text extraction  
- Each row represents the OCR text extracted from a single page of a source document.

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## Original Source

- **FBI Vault – Jeffrey Epstein:** https://vault.fbi.gov/jeffrey-epstein  

The original underlying documents were released through U.S. government sources and remain subject to their original terms and conditions.

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## Legal and Copyright Status (Non-Authoritative)

The original documents were created by various private individuals and entities, not by the dataset maintainer.

The documents are sourced from releases published by the **U.S. House Committee on Oversight and Government Reform** and **FBI**.  
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.

This dataset:

- Does **not** assert ownership over the underlying documents  
- 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)  
- Is provided solely as an OCR-extracted text corpus for research and exploratory analysis  

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**.

Nothing in this dataset card constitutes legal advice.  
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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## Ethical and Content Warning

This dataset contains **highly sensitive material**, including references to:

- Sexual abuse and exploitation  
- Human trafficking  
- Violence and other traumatic subject matter  
- Unverified allegations, opinions, or speculation  

Users should handle this content with appropriate care and sensitivity.

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## Intended and Prohibited Uses

### Intended Uses

- Academic research  
- Exploratory text analysis  
- Transparency and accountability research  
- Journalism support and document review  

### Not Intended For

- Fine-tuning or training language models  
- Harassment, doxing, or targeted attacks on any individual or group  
- Attempts to deanonymize redacted information or circumvent existing redactions  
- Presenting unverified allegations as established facts  

All use must comply with applicable laws, institutional policies, and the terms of the original document releases.

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**Reminder:** This dataset contains sensitive content. Use responsibly and ethically.