Datasets:

lilbeee
/

ufo

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.