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polocrbench-train-pool-v1
A single self-contained training pool for Polish document understanding, assembled for work toward PolOCRBench (PolEval 2026 — transcription, table extraction, KIE). Community-assembled training material — not the official organizer release.
3 551 pages (3 346 train / 205 development) from five open-licensed sources:
| source | pages | license | labels |
|---|---|---|---|
docatlas-pl-clean (repo) |
1 713 | CC BY 4.0 (Heakl et al. 2026, arXiv:2605.12623) | full-page Markdown |
impact-hist-train (repo) |
298 | CC BY 3.0 (IMPACT Centre of Competence / PSNC) | page texts joined from 1 987 line transcriptions |
polocrbench-synth (project-authored, seed 20260922) |
1 200 | CC BY 4.0 | Markdown + HTML tables + KIE fields (faktura/umowa/pismo_urzedowe/formularz) |
polocrbench-synth-photo (project-authored, seed 20261018, photo recipe) |
300 | CC BY 4.0 | same, with phone-photo degradations: perspective warp, directional shadow ramp, blur 0.8–2.0, downscale + JPEG |
handwriting-notes (author self-licensed: Piotr Styła, 2026-10-17) |
40 | CC BY 4.0 | full-page transcription incl. bracketed drawing descriptions; 16 pages orientation-normalized (rot. 180°) |
Synthetic pages carry the subtask-B and C annotations: tables.jsonl
(1 072 HTML tables) and kie.jsonl (1 500 field-level JSON records), keyed by
page_id. kie-real.jsonl adds precision-first KIE on 45 real contemporary
pages (29 checksum-valid NIP values, 6 labeled dates, 20 labeled amounts;
deterministic extraction, ISO dates / dot-decimal amounts, spec-aligned) —
the contemporary corpus is genuinely sparse in these identifiers, so this is
an honest thin auxiliary layer, not a substitute for the synthetic KIE mass.
Historical pages are out of KIE scope (the spec's KIE types are
invoice/contract/official letter/form). Together the synthetic sources cover the task's planned training
composition (~1 200 synthetic) including the photo-degradation family the spec
asks for; real pages (2 011) exceed the planned ~800 — an intentional,
documented deviation.
Quality gates
- Cross-union dedup on file-sha256 and text-sha256: 1 dropped (ledger
dropped-dedup.jsonl). - Deterministic PII label scan (e-mail, +48 phone, checksummed PL PESEL,
mod-97 PL accounts) on real sources only — synthetic identities are
generated data and PESEL/NIP fields are legitimate training signal:
0 removed (
dropped-pii.jsonl). - Overlap screening vs four frozen local eval manifests: 0 against
IMPACT Test A staged, full-page dev v4 and EHRI printed replay. The 208
flags against
qwen3vl-hist-corpus-v2hit only its TRAIN pages (same source works; 65 pages intentionally shared via the psnc subset) — zero flags against its validation/test splits. Seeoverlap-report.json. - Splits are document-consistent: docatlas development rows (205 pages) carried over from the source manifests; synthetic and historical are train-only; frozen eval collections are excluded by construction.
Boundaries
- Nothing is human-verified or gold. Labels are automated (DocAtlas, IMPACT ground truth joined per page), generator-produced, or AI pre-annotations of the author's handwritten notes (drawings described in brackets; the author may verify against his own notes).
- The official PolOCRBench Train/Test A/Test B, evaluator and schemas come from the organizers (poleval/2026-polocrbench); this pool is independent training material.
- Historical page JPEGs are format-converted derivatives of the IMPACT dLibra TIFFs (see the source repo for the acquisition audit).
Files
images/— 3 511 page images, named by pool id (da<batch>_<row>,hist_<work>__<doc>,syn_<id>,synph_<id>).manifest.jsonl— one row per page: id, source, image/text hashes, split, license, provenance flags.tables.jsonl,kie.jsonl— subtask B/C annotations for synthetic pages.kie-real.jsonl,kie-real-report.json— deterministic KIE mining on real pages (mine_kie_real.py).dropped-*.jsonl,overlap-report.json,report.json,checksums.json— evidence;assemble_train_pool_v1.py— deterministic assembly script.
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