| --- |
| license: cc0-1.0 |
| task_categories: |
| - question-answering |
| - text-classification |
| - text-retrieval |
| language: |
| - en |
| tags: |
| - epstein |
| - jeffrey-epstein |
| - epstein-files |
| - epstein-case |
| - court-documents |
| - depositions |
| - unsealed-documents |
| - fbi-files |
| - legal |
| - flight-logs |
| - private-jet |
| - passenger-list |
| - island-visits |
| - us-law |
| - news |
| - politics |
| - corruption |
| - elite-networks |
| - power-networks |
| - social-graph |
| - network-analysis |
| - named-entities |
| - entity-linking |
| - relationship-extraction |
| - relation-extraction |
| - summarization |
| - investigative-journalism |
| - open-source-intelligence |
| - osint |
| - ocr |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Epstein Files — Complete OCR Dataset |
|
|
| > |
| > This is a comprehensive, structured publication of the Epstein Files OCR dataset, significantly expanding upon the earlier [Datasets 1-8 release](https://huggingface.co/datasets/ishumilin/epstein-files-ocr-datasets-1-8-early-release). |
| > |
| |
| ## Dataset Summary |
|
|
| This dataset contains **page-level OCR output** compiled from an extensive release of documents related to **Jeffrey Epstein / the Epstein case**. |
|
|
| Each row in this dataset represents **one scanned PDF document** from the original release using a proprietary automated OCR pipeline provided by [Wild Ma-Gässli](https://wildma.ch). |
|
|
| The dataset is designed for: |
| * Question answering |
| * Information retrieval |
| * Downstream NLP tasks such as named entity recognition (NER), entity linking, and relationship extraction. |
|
|
| ### Enhancements from Previous Versions |
|
|
| - **Scale:** This structured release covers **1,380,935 PDF documents**, comprising over **2,700,000 total pages**. |
| - **Format:** Restructured from individual `.md` files into a more efficient **Parquet** format. |
| - **Document Linking:** Each page retains its original `document_id` (e.g., `EFTA00000001`), resolving the limitation from earlier releases where pages could not be easily traced back to their source PDFs. |
|
|
| ## Supported Tasks |
|
|
| * Text retrieval / search (BM25, hybrid, dense retrieval) |
| * Question answering over retrieved context (RAG) |
| * Entity extraction (names, places, phone numbers, dates) from noisy OCR |
| * Social graph and network analysis |
|
|
| ## Languages |
|
|
| Primarily English (`en`). |
|
|
| ## Related Tools |
|
|
| This dataset is designed to be used with the **Epstein Chat** analysis tool, which provides a RAG (Retrieval-Augmented Generation) interface for querying these documents. |
|
|
| * **GitHub Repository**: [ishumilin/epstein-chat](https://github.com/ishumilin/epstein-chat) |
|
|
| ## Dataset Structure |
|
|
| The dataset is provided as a Parquet file, which works natively with Hugging Face's `datasets` library. |
|
|
| ### Data Fields |
|
|
| The schema contains the following fields: |
|
|
| - `document_id` (`string`): The identifier of the original document/page (e.g., `EFTA00146767`). |
| - `content` (`string`): The full OCR-extracted content for that specific document. |
|
|
| **Example Row:** |
| ```json |
| { |
| "document_id": "EFTA00146767", |
| "content": "Hey beautiful. Tried to call you back..." |
| } |
| ``` |
|
|
| ### Splits |
|
|
| No predefined train/validation/test splits. |
|
|
| ## Dataset Creation |
|
|
| ### Source Data |
|
|
| * **Primary source**: The upstream Epstein Files release hosted at: |
| * Torrent: https://github.com/yung-megafone/Epstein-Files/blob/main/Torrent%20Files/epstein-files-structured-full-20250204.tar.zst.torrent |
|
|
| **Coverage in this dataset:** All PDF files from the upstream release. |
|
|
| ### OCR / Preprocessing |
|
|
| OCR was performed on this dataset using a **proprietary model** provided by [Wild Ma-Gässli](https://wildma.ch). |
|
|
| ## Considerations for Using the Data |
|
|
| ### Personal / Sensitive Information |
|
|
| These documents contain **personal data** (names, phone numbers, addresses, emails) and/or information about alleged criminal activity. |
|
|
| **Redaction Policy:** |
| * This dataset is published as **verbatim OCR output** derived from the public source files. |
| * **No additional redaction** (masking/removal) has been applied beyond what was already redacted by the DOJ or the original releasing entity. |
|
|
| **Use Responsibly:** |
| * Comply with applicable laws and platform policies. |
| * Avoid doxxing or harassment. |
| * Do not treat OCR text as ground truth; always verify against the original page images/PDFs for high-stakes use. |
|
|
| ### Known Limitations |
|
|
| * **OCR noise**: While improved, automated extraction can produce recognition errors, incorrect formatting artifacts, or miss obscure characters (especially on poor-quality scans or handwriting). Some pages contain explicit placeholders such as `[hidden text]` reflecting original redactions made by DOJ. |
| * **Content variance**: Documents range from dense narrative text to unformatted tables and metadata tags. |
| * **Corrupted Source Files**: Three files from the original release were severely corrupted and their contents remain unknown and unextracted: |
| * `EFTA00645624.pdf` |
| * `EFTA01175426.pdf` |
| * `EFTA01220934.pdf` |
|
|
| ### Biases |
|
|
| This dataset reflects: |
|
|
| * The selection, redaction, and presentation choices of the original releasing institution. |
| * OCR model performance characteristics (better on clean text, worse on handwriting / low-quality scans). |
|
|
| ## Licensing |
|
|
| See [`LICENSE`](./LICENSE) for the full CC0 1.0 legal text. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
| 1. The original [public release](https://www.justice.gov/epstein/doj-disclosures). |
| 2. This [dataset](https://huggingface.co/datasets/ishumilin/epstein-files-ocr-complete). |
|
|
