epstein-files-ocr-complete

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README.md ADDED Viewed

	@@ -0,0 +1,159 @@

+---
+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).

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