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UFO/UAP corpus — plan & storyboard

Built on the production ingest pipeline — the same pipeline, same rigor — against the recently-released UAP/UFO datasets. Branch ufo-corpus off main. The infra/, ingest/, qa/, and report generators are reused unchanged; only the source corpus, the two question sets, and the dataset/version tags change.

Datasets to download — the recent OFFICIAL Pentagon disclosure

Focus: the Department of War PURSUE rolling declassification (war.gov/UFO) plus the official AARO/DoD reports. Four PURSUE releases so far: 01 (May 8 2026), 02, 03 (Jun 12 2026), 04 (Jul 10 2026 — the latest).

# Dataset Source Notes
1 PURSUE Releases 01–04 — declassified DoW/agency UAP records, transcripts, witness accounts, report cards (1944→2025) war.gov/UFO (browser-UA scrape on the pod); The Black Vault 2.0 GB zip mirrors Release 01 The core corpus. ~334 files across the 4 releases
2 AARO — Case Resolution Reports, Historical Record Report Vol 1, Information Papers, Reporting Trends aaro.mil Per-PDF
3 ODNI/DoD Annual UAP Reports — FY2021 Preliminary Assessment, FY2023, FY2024 (757 cases) media.defense.gov / dni.gov Direct PDFs
4 NASA UAP Independent Study Team Report (2023) science.nasa.gov Direct PDF
5 NARA UAP electronic records (ODNI, OSD, FAA, NRC) — supporting archives.gov S3 bulk (~180 MB text zips only) Text/electronic only; image + microfilm sets excluded

Known direct URLs (verified): NASA report science.nasa.gov/wp-content/uploads/2023/09/uap-independent-study-team-final-report.pdf; AARO HRR Vol 1 media.defense.gov/2024/Mar/08/2003409233/-1/-1/0/DOPSR-2024-0263-AARO-HISTORICAL-RECORD-REPORT-VOLUME-1-2024.PDF; FY24 report media.defense.gov/2024/Nov/14/2003583603/-1/-1/0/FY24-CONSOLIDATED-ANNUAL-REPORT-ON-UAP-508.PDF; ODNI 2021 dni.gov/files/ODNI/documents/assessments/Prelimary-Assessment-UAP-20210625.pdf; Black Vault Release 01 zip documents3.theblackvault.com/documents/UFOFiles/UFOFiles-Release1.zip (2.0 GB); NARA S3 s3.amazonaws.com/NARAprodstorage/lz/bulk-downloads/uaps/zips/electronic-records/{493468580 OSD, 493468575 FAA, 493468579 ODNI, 488808322 NRC}.zip.

Estimated 2.5–3 GB, a few thousand dense official pages. Excluded (huge, image/microfilm, not the recent Pentagon text release): NARA still-pictures (Blue Book photos 36 GB) + microfilm (379 GB).

Question storyboard (two sets + refusal probes)

  • RAG-rigor (11): qa/questions.txt — aggregation/counts across annual reports, AARO establishment timeline, per-case object+evidence, sensor modalities, HRR Vol 1 reverse- engineering conclusions, recurring regions/installations, sightings near sensitive sites, the evolving "UAP" definition, most-cited object characteristics, NASA study recommendations, cumulative report counts / yearly trend.
  • Community-demand (10): qa/questions_community.txt — evidence of non-human intelligence (or explicit absence), sightings near nuclear sites, unresolved cases, astronaut transcripts, performance beyond known tech, contributing agencies, civilian-aircraft incidents, Blue Book vs AARO, whistleblower/secret-program allegations, most-recent incident.
  • Refusal probes (2): in-domain-unsupported ("home planet/species of the entities") + out-of-corpus (the 2019 UEFA final). Both must be declined.

Pipeline (reused)

Same v3.1 stack: xberg + pdf_oxide 0.3.74 extraction → Qwen3-Embedding-8B → LanceDB → parquet/jsonl. Answerer Mistral-Large-2411 (chosen on the Vectara grounded-faithfulness evidence), judge Opus 4.8 (independent family). Retrieval on the merged #508 pipeline (feat/kreuzberg-5), served with the ready-env.tar engine.

Artifacts

  • parquet + jsonl → HF dataset repo beeberg/ufo (https://huggingface.co/datasets/beeberg/ufo), version-tagged. All UFO artifacts (parquet/jsonl, reports, trace/profile/flamegraph) go here.
  • Extraction + defect report (native-vs-OCR split, latency, pdf_oxide defect scan).
  • Resource profile + py-spy flamegraph.
  • Graded Q&A report (report2-qa-mistral.{md,pdf}) + capture + graded JSON, in reports/ufo/.

Phases

  1. Setup (this commit): branch, plan, UFO question sets, refusal probes, download scripts.
  2. Stage corpus (cheap CPU pod): download all five sources to the network volume → manifest (sizes, file counts, page counts). CHECKPOINT — review before any GPU spend.
  3. Ingest (GPU pod): full ingest → publish parquet/jsonl + extraction/defect report + profile/flamegraph.
  4. QA (GPU pod): serve + capture 23 questions → grade with Opus → graded report.