README.md

---
license: other
license_name: us-public-record
pretty_name: Epstein Files Corpus — OCR'd & Cleaned
task_categories:
  - feature-extraction
  - text-retrieval
tags:
  - ocr
  - legal
  - court-records
  - foia
  - public-records
  - epstein
  - efta
size_categories:
  - 10K<n<100K
---

# Epstein Files Corpus — OCR'd & Cleaned

Machine-readable text of the publicly released Jeffrey Epstein–related document
collections: the DOJ "EFTA" disclosures (Data Sets 1–12), House Oversight
releases, court records (Maxwell, Doe v. Epstein/Indyke, Florida v. Epstein,
USVI v. JPMorgan, and others), and FOIA productions (FBI, BOP, CBP, Florida).
All content is public-record material released by the U.S. Department of
Justice, federal/state courts, and FOIA respondents.

This is a **living dataset**: this snapshot publishes 32,172 documents — including the full House Oversight estate releases of Oct 17 (8,718 pages) and Nov 12 (22,903 pages);
roughly 33,000 source PDFs are downloaded and mid-OCR at snapshot time,
with over 1.3M catalog entries identified across 73 source datasets.

## Repository layout

```
cleaned/<dataset>/<document_id>.md     # 32,172 cleaned OCR markdown documents
  (house-oversight-nov is sharded into per-1000 subdirs: cleaned/house-oversight-nov/<NN>/house-oversight-NNxxxx.md — Hugging Face caps directories at 10,000 files)
extracted/summaries/<dataset>/<id>.txt # 30,888 extractive summaries
extracted/embeddings.csv               # chunk embeddings (document_id, chunk, vector)
extracted/entities.json                # extracted entity index
catalogs/freeze-manifest-2026-08-27.json  # acquisition freeze: per-dataset locator counts
catalogs/clean-manifest.json           # cleaning-stage stats
catalogs/delineation-manifest.json     # document-id -> source mapping, page/char counts
catalogs/summaries-manifest.json       # summary index
catalogs/acquisition-plan-2026-08-27.md   # how sources are enumerated & fetched
```

Datasets represented in this snapshot: `court-papers`, `efta-ds1/2/3/4/5/6/7/12`,
`flight-logs`, `foia-bop/cbp/fbi/florida`, `house-oversight-oct` (the House
Oversight October 17 estate release), `maxwell-proffer`, `memoranda`,
`phase-1`.

## Provenance

- **DOJ EFTA releases** — [justice.gov/epstein/doj-disclosures](https://www.justice.gov/epstein/doj-disclosures),
  Data Sets 1–12, EFTA-numbered PDFs.
- **Court records** — SDNY/SDFL and other dockets: *US v. Maxwell*,
  *Doe v. Epstein*, *Doe v. Indyke*, *Florida v. Epstein* (2006/2008),
  *USVI v. JPMorgan*, grand jury materials, proffer transcripts.
- **FOIA** — FBI, Bureau of Prisons, CBP, and Florida state releases.
- **House Oversight** — phase-1 document production, plus the October 17
  estate release (`house-oversight-oct`, 8,718 documents).

Each cleaned document traces to a source locator (URL + sha256) via the
freeze manifest and the delineation manifest.

## OCR pipeline

1. **Acquire** — source PDFs cataloged from official release pages
   (`catalogs/freeze-manifest-*.json`), downloaded with sha256 verification,
   mirrored to object storage (DigitalOcean Spaces, `epstein-index-files/raw/`).
2. **OCR** — [marker-pdf](https://github.com/datalab-to/marker) converts PDFs
   to markdown; low-confidence pages get a vision mop-up pass with
   Qwen2.5-VL.
3. **Delineate** — multi-document OCR outputs are split into per-document
   files (9,269 documents in this snapshot).
4. **Clean** — running headers, Bates stamps, disclaimers, and redaction
   artifacts normalized (see `catalogs/clean-manifest.json`).
5. **Extract** — extractive summaries, chunk embeddings, and entity index.

## Quality caveats

This corpus is machine-OCR'd and **not human-proofread**. The 2026-08-15
quality battery (11 sensor families, 63 sensors, 80 of 117 documents sampled)
produced **2,435 findings**; 100% of sampled documents had at least one
finding. Severity: 158 critical, 1,801 major, 275 minor, 201 info. The
dominant issue classes:

- `delineation.page-number-restart` — 1,066 findings (page numbering resets
  across concatenated filings)
- `furniture.running-header` — 369 (residual running headers)
- `repetition.inline-loop` / `low-entropy-window` — 355 (OCR repetition loops)
- `legal.*` family — 280 (Bates-number gaps, stamp artifacts, transcript line
  numbers, foreign-text regions)

Findings were measured against the *original* OCR tier; the `cleaned/` tier
published here has had the mechanical artifact classes (headers, stamps,
Bates furniture) addressed, but repetition-loop and delineation issues remain.
**Verify quotations against the source PDF before citing.** Reference-family
sensors (PDF text-layer cross-checks) could not run, so measured findings are
a floor, not a ceiling.

## Raw PDFs

Source PDFs (~33 GB downloaded so far, of ~1.4 TB cataloged) are **not**
included in this snapshot. They currently live on DigitalOcean Spaces
(`epstein-index-files`, `raw/` prefix) with sha256 manifests in the freeze
catalog. They may be added here later as a separate `raw/` tree or a sibling
dataset repo once OCR coverage settles, to keep this repo fast to clone for
text-only consumers.

## Update cadence

This repo is re-published incrementally as the OCR fleet processes the
backlog (~32k PDFs in flight). Expect snapshot commits as new document
batches clear delineation + cleaning; manifests are regenerated per batch.
Consumers should pin a commit SHA for reproducibility.

## License

The underlying documents are U.S. public records (federal court filings, DOJ
releases, FOIA productions). The OCR/cleaning/extraction work product in this
repo is released to the public domain to the extent permitted; no rights are
asserted over the underlying documents. Note that released material may still
contain redactions, privacy-sensitive third-party information, and
sealing-related gaps as produced by the releasing agencies.