---
license: other
task_categories:
- question-answering
- text-retrieval
language:
- en
tags:
- uap
- ufo
- government-records
- rag
- ocr
pretty_name: Official UAP Disclosure Corpus (OCR / native, page-level)
size_categories:
- 1K<n<10K
---

# Official UAP Disclosure Corpus

Page-level text of the recent **official U.S. government UAP (Unidentified Anomalous Phenomena)
disclosure**, extracted two ways and published side by side for comparison. 789 documents,
**7,288 pages**, drawn only from official releases — no third-party or speculative material.

## Two extraction variants

| directory | how it was extracted |
|---|---|
| `data-ocr/` | **forced OCR** — the GLM-OCR vision model re-reads every page |
| `data-no-ocr/` | **native** text-layer extraction (xberg + pdf_oxide 0.3.74), OCR only as a scan fallback |

Each variant ships a **global** file (`all.parquet`, `all.jsonl.gz`) covering the whole corpus,
**and one file per source dataset** (`<dataset>.parquet`, `<dataset>.jsonl.gz`), plus `SHA256SUMS`.

**Schema** (per row = one page): `source` (dataset/relative-path), `page` (int), `text` (str),
`content_type` (`pdf` | `image`).

## Source datasets

| dataset | records | docs | pages |
|---|---|--:|--:|
| `pursue-01` | war.gov PURSUE declassified release 01 | 129 | 4,179 |
| `pursue-02` | PURSUE release 02 (May 22 2026) | 6 | 128 |
| `pursue-03` | PURSUE release 03 (Jun 12 2026) | 24 | 1,302 |
| `pursue-04` | PURSUE release 04 (Jul 10 2026 — latest) | 13 | 554 |
| `aaro` | AARO Historical Record Report Vol. 1 (2024) | 1 | 63 |
| `odni-reports` | ODNI/DoD annual UAP reports (FY21 prelim, FY23, FY24) | 3 | 43 |
| `nasa` | NASA UAP Independent Study Team report (2023) | 1 | 36 |
| `nara-osd` / `nara-faa` / `nara-odni` / `nara-nrc` | NARA UAP electronic records | 612 | 983 |

## OCR vs native — the headline finding

Forced OCR recovers **1.39× more text overall** (14.5M vs 10.4M characters), almost entirely from
the scanned PURSUE releases where native extraction sees little. On the born-digital reports (AARO,
ODNI, NASA, most NARA) native extraction is marginally richer and OCR is redundant. Because this
corpus is scan-dominated, `data-ocr` is the more complete version. See `reports/ocr-vs-no-ocr.md`.

## Reports (`reports/`)

- `full-run-report.md` — corpus, pipeline, and results overview.
- `ocr-vs-no-ocr.md` — per-dataset extraction comparison.
- `defect-scan.md` — pdf_oxide structural defect scan (45 / 7,288 pages flagged).
- `ufo-qa-ocr.pdf` / `ufo-qa-no-ocr.pdf` — graded retrieval-augmented Q&A over each index
  (Mistral-Large answerer, independent Opus 4.8 judge), with verbatim answers and cited sources.
  data-ocr: faithfulness 0.96 / context precision 0.68; data-no-ocr: 0.94 / 0.78.

## Provenance

Every document traces to an official government release. Acquisition method (the war.gov
`uap-data.csv` manifest and Wayback-Machine recovery for host-blocked files) is in
`reports/corpus-provenance.md`. One release-04 document (`CIA-UAP-D021`) is not archived anywhere
reachable and is noted as a known gap.