Add source: sejm_interpellations — 10th-term written Q&A

.agents/skills/source-rights-review/SKILL.md

@@ -1,242 +0,0 @@
----
-name: source-rights-review
-description: Copyright and licence review of a corpus source in polish-dynaword. Use before proposing or opening a PR for a new source, before cutting a release, when an upstream licence or terms page changes, when a source's licence label looks uniform or inherited from a platform, and when re-auditing existing sources. Covers chain of title, per-item licences, NC/ND and AI-training terms, public-domain claims under Polish law, official documents, sampling for third-party content, fail-closed licence parsing, and what to record. Not legal advice; it produces evidence and a verdict, and hands legal questions to a human.
----
-
-# Source rights review
-
-Purpose: decide whether a source may be admitted, and leave evidence another agent can re-check.
-`european_hplt_v3_pl` was released in v0.2.3-v0.2.5 on a CC0 label that covered only the
-packaging of crawled web pages. It was removed after v0.2.5. The 2026-10 audit found the
-same structure in five more shipped sources. This skill is the method that audit used.
-
-Reference audit: `artifacts/rights_audit_2026-10/` (`REVIEW.html` + `reports/*.md`).
-It must be committed for this link to work; if the path is missing, ask the maintainer.
-
-Read as needed (do not load all up front):
-- `references/worked-examples.md` — one case per failure class, with source keys and numbers.
-- `references/polish-law.md` — life+70, Art. 4, Art. 29, Open Data Act, EU reuse, Wikimedia licence versions.
-- `references/templates.md` — fail-closed check, sampling and Wilson CI code, evidence/decision-record skeletons.
-
-## Core rules
-
-1. **A licence on the packaging, platform or compilation is not a licence on the works inside.**
-   Find who wrote the text and what *they* granted. (HPLT: CC0 on the dataset, nothing on the pages.)
-2. **Unverified = not admitted.** A source may merge with `release: None`. It must never be released
-   on an unverified basis. "Probably fine" is not a basis.
-3. **Read the full terms, not the badge.** The licence badge, footer or foreword can say CC BY while
-   another block of the same site says NonCommercial or bans LLM training.
-4. **Record what you did NOT check.** A review that lists only what passed reads as complete.
-5. **Label every claim V or I.** V = verified against a file, parquet, API field or live page (give
-   the date). I = inferred. Keep that marking in evidence files and decision records; never promote I to V.
-6. **A fetcher reads the licence from upstream; it does not assert it.** See "Fail-closed parsing".
-7. **"Not sampled" and "0 found in 40" are results, not clean bills.** 0/40 still allows up to ~9% (Wilson 95%).
-8. **Do not copy another source's review status.** SAOS copied sejm_api's evidence list and the two
-   read as equally reviewed when they were not.
-
-## When to run
-
-- **Before proposing or opening a source PR:** the full procedure below.
-- **Before a release:** for every source about to get a `release` value, confirm its record exists
-  (see "Done when"), re-open the upstream licence/terms page, and compare it with the evidence hash.
-  A changed page is a stop-and-review signal.
-- **When an upstream licence or terms page changes** (a vote, a new ToU, a new licence version).
-- **Re-audit:** split by source group. If you can run parallel workers, give each one group
-  (literary, government web, official documents, academic, wikis/user content, one per pending PR)
-  and one output file with V/I markers; merge afterwards. Otherwise work group by group.
-
-## Failure classes
-
-Test each one explicitly. One line each; cases are in `references/worked-examples.md`.
-
-| # | Class | Test | Case |
-|---|-------|------|------|
-| 1 | Packaging licence != content licence | Did the party that issued the licence write the text? | HPLT |
-| 2 | Compilation licence over third-party works | Does the compiler hold rights in each item, or only in the selection? | 1000_novels |
-| 3 | Uniform label over per-item licences | Does upstream carry a per-item rights field the label ignores? | wolne_lektury, biblioteka_nauki |
-| 4 | NC / ND / AI-training / TDM terms | Does any page of the site, not just the badge, restrict use? Grep the deny list. | openstax_pl |
-| 5 | Platform-asserted licence over imported text | Where did the platform's text come from before it was uploaded? | common_voice_pl |
-| 6 | Operator footer over independent tenants | Is the footer signed by the operator, or by each author? | samorzad_gov_pl |
-| 7 | Partner republications | Does the licence scope say "content created by us" and does the corpus hold partner items? | global_voices |
-| 8 | Quotation-right content presented as licensed | Is the text a quote of someone else's work? Art. 29 quotation is purpose-bound, not a licence. | wikiquote, wiktionary_examples, fandom_pl |
-| 9 | Intermediary snapshot breaks chain of title | Is the source a third party's copy (SpeakLeash, HF user snapshot, WikiTeam) with `license: unknown`? | wikipedia, sejm_api, saos |
-| 10 | Licence version drift | Does the licence version depend on the revision/edit date? | Wikimedia 3.0 to 4.0, plwikinews 2.5 to 4.0 |
-| 11 | Wrong public-domain claim | Did every author, translator and protected-edition editor die in 1955 or earlier (2026)? | wikisource |
-| 12 | Official-document basis stretched | Is every speaker/author an official acting officially, and is no third-party material quoted inside? | parliamentary, sejm_committee_transcripts |
-
-## Procedure
-
-### 1. Map the chain of title, hop by hop
-
-Write one row per hop: author -> publisher/platform -> intermediary(ies) -> this repo.
-
-| hop | party | licence statement (verbatim, short) | URL | retrieved | sha256 or Wayback URL |
-|-----|-------|-------------------------------------|-----|-----------|----------------------|
-
-- The grantor must be the rights holder. A redistributor's "public domain" (IPI PAN's PPC statement
-  for `parliamentary`) or a platform label (Common Voice CC0) is a claim, not a grant. Say so.
-- Name every intermediary: SpeakLeash, HF user snapshots (`PiotrSty/...`, `dawidmajewski/...`),
-  WikiTeam dumps. Record the intermediary's own licence field (`license: unknown` is a finding).
-- Prefer the official dump or API over a snapshot. If you use a snapshot, spot-check a sample against
-  the live upstream and record the match rate (SAOS: 20 of 20 matched; snapshot covered 54.9% of live).
-- Hash or archive the terms page (sha256 of its text, or a Wayback snapshot). If no historical copy
-  exists, say so and archive it now (open_agh_chemistry_pl had none).
-
-### 2. Read the full terms and the per-item fields
-
-- Fetch the complete terms-of-use / copyright / reuse page and every page that governs the content
-  (citation block, ToU, API docs, CMS). Fetch raw text; a summarising fetch is not a verbatim quote,
-  so re-fetch before quoting in a record.
-- Per-item rights fields: MediaWiki `api.php?action=query&meta=siteinfo&siprop=rightsinfo` (per wiki),
-  DSpace `dc.rights` and `dc.rights.uri`, TEI `availability`, Wolne Lektury `dc:rights`,
-  Bibliotekanauki API licence name and version.
-- Check for scraping or bulk-download bans, TDM and AI-training reservations, and
-  "all rights reserved" banners. Run the deny list (below) over what you fetched.
-- Page unreachable (timeout, CAPTCHA, login)? Do not guess. Record "not read" and why.
-
-### 3. Decide whether rights are per item
-
-If upstream licenses item by item, the corpus needs a per-row `license` (and author/title/URL where
-available), built from the upstream field. One label over mixed rights is a defect even when every
-individual licence is open (wolne_lektury: PD, FAL 1.3 and CC BY-SA 3.0 PL/4.0 under one label).
-A licence version is part of the licence: 3.0 to 4.0 is not a free upgrade.
-
-### 4. Public-domain claims
-
-Polish term is life + 70. In 2026 the author **and** translator (and the editor of a protected
-edition) must have died in 1955 or earlier: death year <= current year - 71. PD in the US is not PD in
-Poland. Cite where each death year comes from; hand-curated years are I. Details: `references/polish-law.md`.
-
-### 5. Official documents
-
-Art. 4 of the Copyright Act covers normative acts and official documents/materials. It does **not**
-clearly cover private guests' statements in committee transcripts, third-party material quoted inside an
-official document, or expert opinions. Open Data Act reuse conditions apply (Art. 15 "processed data"
-notice; art. 6(4)(4) excludes material where non-public entities hold copyright). EU documents go
-under the EU reuse policy (Decision 2011/833/EU for Commission documents, the EUR-Lex/TED legal notices
-otherwise), not Art. 4.
-
-### 6. Sample to measure residual third-party content
-
-Do this for every source where the basis covers "the operator's own content" but the corpus may hold
-others' text (wikis, fan wikis, news, government sites, court rulings, committee transcripts).
-
-- Fixed random seed, recorded. Stratify (wiki, namespace, subsite, document type, speaker role).
-- >= 40 documents per stratum; ~200 for a headline number.
-- Wilson 95% interval, not just a point estimate. Report **token/char share**, not only document share.
-- Classify each sampled item: own/licensed, public domain, in-copyright third party, mixed, unknown.
-- Save the sample IDs and the per-item classification next to the evidence (CSV/JSON).
-- Heuristic classifiers (regex, length thresholds) give I-level numbers; hand-labelled ones give V.
-- Code: `references/templates.md`.
-
-### 7. Decide
-
-| Outcome | When | What to do |
-|---------|------|------------|
-| Admit | Basis verified, residual third-party content negligible and documented | Register with `release: None`, record |
-| Admit with filter | A separable slice is bad (a wiki, a namespace, a speaker role, cited lines) | Put the filter in the committed fetch/clean script, add a test, regenerate stats and datasheet |
-| Relabel | Content is fine, label is wrong (version, per-row licence, basis) | Fix registry, datasheet and per-row field together |
-| Withdraw | Basis is unverified or contradicted and no filter can fix it | Withdrawal pattern below |
-
-Filters live in `src/fetch_<key>.py`/`clean_<key>.py`, never in a hand-edited parquet. Rows pulled from
-SpeakLeash with `file_key: None` have no script: write one before changing rows. Whether a residual
-share is acceptable is the maintainer's call; the audit used "exclude a wiki over 5% of tokens" as a working bar.
-
-### 8. Record
-
-See "What to write down".
-
-## Fail-closed parsing
-
-A fetcher must **read** the licence from the upstream page or field, compare it with an allowlist, and
-raise (not skip silently) when it cannot find it, when it differs, or when a deny pattern matches.
-The bug in `openstax_pl`, `nkjp1m` and `fandom_pl` was a hard-coded licence string.
-
-Minimal deny list (case-insensitive; extend per source language; matches mean stop and review):
-
-```
-niekomercyjn | non-?commercial | by-nc | by-nd | no-?derivatives? | bez utworów zależnych
-modeli językowych | trenowani | large language model | \bLLM\b | AI training | machine learning
-text and data mining | \bTDM\b | data mining
-wszelkie prawa zastrzeżone | all rights reserved | dozwolony użytek
-scrap(e|ing) | automated (access|means) | bulk download
-```
-
-- Allowlist beats denylist: accept only the exact expected licence id/URI (open_icm_pl, rock_pollub_pl do).
-- Fetch every page that can restate the licence (foreword, citation block, CMS field), not only the one
-  with the badge.
-- Add a test with the live page text as a fixture; it must fail on the known-bad text.
-- Store the hash of the licence text in `license-evidence.json`. A different hash on re-fetch fails the run.
-- Shared checks go in one place (`src/rights.py` today holds only `rights_ok`/`spdx` for Europeana
-  `edm:rights` URIs). Extend it; do not paste a copy into each fetcher.
-
-## What to write down
-
-1. **Datasheet** `data/<key>/<key>.md`, rights section: licence and version; where the statement lives
-   (link to the exact page, API field or provision); the chain of title; each intermediary and its
-   licence field; what was filtered and why; what was not checked. Generate per-document licence
-   tables from builder output; do not hand-type them.
-2. **`data/<key>/<key>.license-evidence.json`**: licence + SPDX, statement URL and verbatim quote,
-   retrieval date, sha256 or Wayback URL, per-hop chain, `status`, `review_scope`, `finding`, V/I marks,
-   and a `not_checked` list. Existing files use differing keys: `common_voice_pl` has `license`, `spdx`, `status`,
-   `review_scope`, `finding`; `samorzad_gov_pl` has `evidence_url`, `checked_at`, `sha256`. Use both sets.
-3. **`src/sources.py`**: `license`, `license_spdx`, `traceable` (why the licence holds), `provenance`
-   (name the intermediary), `upstream`, `legal_note` (caveats, the withdrawal reason), `release`.
-   Use `MIXED` plus a per-row field for mixed rights; `LicenseRef-...` for non-SPDX bases.
-4. **Decision record** `polish-dynaword-v2/repo_patch_suggestions/decisions/<key>.yaml`, schema
-   `decision-record.schema.yaml` (`status: admitted | excluded | held_for_review`; evidence
-   in `polish-dynaword-v2/evidence/`). Example: `1000_novels.yaml`. There is no `partial` status: a partial
-   admission is `status: admitted` with the kept-out parts listed under `scope.withheld`. No sibling checkout: put the record text in the PR description and flag it.
-5. **Findings log** `artifacts/source_findings.md`: append an entry whether the answer is yes or no.
-
-### Done when
-
-- [ ] Chain of title written down, every hop with a statement, URL, date and hash/snapshot.
-- [ ] Full terms read; deny list run; per-item rights fields checked.
-- [ ] Rights per item? Then a per-row `license` exists and a test asserts none is empty.
-- [ ] Any filter is in the committed script, with a test; stats and datasheet regenerated.
-- [ ] Sample IDs, seed and classification saved; Wilson interval and token share reported.
-- [ ] `sources.py` fields and `legal_note` match the datasheet and the evidence file.
-- [ ] Decision record written (or flagged for the maintainer); findings-log entry added.
-- [ ] "Not checked" list present in the evidence file and the decision record.
-- [ ] `python3 -m pytest src/` passes; no hard-coded licence left in the fetcher.
-
-## Withdrawal pattern
-
-As done for HPLT (`european_hplt_v3_pl`, removed from main on 2026-09-16):
-
-1. Remove `data/<key>/` data files from main.
-2. Keep the `SOURCES` entry for history; add a `legal_note` with the reason and the clause URL. Keep its old
-   `release` value and set `removed` to the first release without it (`european_hplt_v3_pl`: `"0.2.3"` and
-   `"0.2.6"`). `verify_paper_claims.py` stops counting the source from `removed` on.
-3. Write a decision record (`status: excluded`, or `held_for_review` while a human decides).
-4. Run `python3 src/verify_paper_claims.py --tex ../polish-dynaword-v2/main.tex --ref worktree`. Its FAILs
-   are the paper's token, document and source counts that the removal breaks.
-5. `make_docs.py` skips sources with no data, so regenerated release totals undercount; see AGENTS.md
-   "Known drift" before touching the README tables.
-
-Removing files from main does not purge git/LFS history (inferred). If history must be purged, hand it
-to the maintainer.
-
-## Human-only steps
-
-Prepare the draft or the evidence list, then hand back. Do not do these yourself:
-
-- Writing or sending to rights holders (IPI PAN, OpenStax Poland, KPRM/MC, UZP, SN, KIO).
-- Legal opinions (SAOS needs a formal Polish opinion before release).
-- Accepting terms, cookie/consent banners, creating accounts, OAuth grants.
-- CAPTCHA- or login-gated sites; do not bypass.
-- Downloads that need permission (NKJP1M tarball, large archives).
-- Approving allowlists, withdraw-vs-filter decisions, acceptable residual shares.
-
-## Record what was not checked
-
-Examples from the 2026-10 audit; write the same kind of line for your source:
-
-- 1000_novels: the CLARIN-PL licence page was not read (fetch timed out); death years in
-  `scripts/novels_rights_screen.py` are hand-curated.
-- fandom_pl: the Fandom Terms of Use primary page was not read (scraping ban known from web search only).
-- nkjp1m: per-text TEI `availability` headers not checked (needs the tarball download).
-- studia_bas: the live journal site is behind a CAPTCHA; its own licence statement was not re-read.
-- saos: ~140 of 1,014 lines of `src/fetch_saos.py` reviewed; SN and KIO terms not found.
-- wikipedia, wikivoyage: not sampled for pasted copyrighted text.

.agents/skills/source-rights-review/references/polish-law.md

@@ -1,96 +0,0 @@
-# Polish and EU rules the review relies on
-
-Research aid, not legal advice. Everything here comes from the 2026-10 audit reports or the existing
-repo docs. Where a point is marked I (inferred) or "verify", the audit did not confirm it against a
-primary text. Read the statute on ISAP/ELI before quoting an article in a datasheet.
-
-## Term of protection (life + 70) and the death-year screen
-
-- Polish term is the author's life + 70 years. Rule of thumb used in the audit: a work is public domain in
-  Poland only if its author **and every translator** died in year <= current year - 71. In 2026: died in
-  1955 or earlier.
-- Check each contributor with an independent right: author, translator, and the editor of a protected
-  edition. Edition and critical-edition rights (Art. 99^1-99^2) were named in the 1000_novels decision
-  record but not assessed. Say so if you do not assess them.
-- Public domain in the US is not public domain in Poland. Wikisource footers state both:
-  "Prawa autorskie do tekstu wygasają: w 2045 roku w Polsce, w 2021 roku w USA" is a PD-US-only item
-  (`wikisource_1295016`). A year after the current year in the "w Polsce" slot means keep out.
-- Europeana's conservative US slice is records created/published before 1929 (`legal_note` in
-  `src/sources.py`); later records stay separately labelled or held pending legal review.
-- Death years need a cited source. Hand-curated years (`scripts/novels_rights_screen.py`) are I.
-
-## Art. 4 of the Copyright Act (official materials)
-
-- Art. 4 excludes from copyright normative acts and official documents/materials. Art. 4(1)-(2) is the
-  basis cited for `dziennik_ustaw`; Art. 4(2) for judgments and parliamentary records.
-- The majority of authors treat judgments and their reasons as official documents under Art. 4(2) (I:
-  Sobczak 2017, NSA 19.02.1997 I SA/Kr 1062/96; both acknowledge doubts; not re-verified).
-- Doctrine on "materiał urzędowy": SN 2001 IV CKN 458/00 reads it broadly, a narrower SN line from 2009
-  reads it restrictively; no source found addresses private experts' or guests' statements held by public
-  bodies (I; not checked against primary texts).
-- Where the basis is weakest: private guests in committee transcripts, third-party material quoted
-  inside an official document (party submissions, expert opinions, doctrine, lyrics), dissenting
-  opinions with individual authors (TK rows; ~450 TK documents carry one, I), constituents' letters quoted
-  in interpellations.
-- Sources whose basis is statutory (SAOS, sejm_*, uzp_orzeczenia_pl) are not HPLT-class, but they still
-  need per-record evidence and the third-party carve-out in the datasheet. Not confirmed.
-
-## Open Data Act (reuse of public-sector information)
-
-Text: `https://eli.gov.pl/api/acts/DU/2023/1524/text.html` (per the audit reports).
-
-- Art. 6(4)(4): excludes material in which non-public entities hold copyright. So citing the Act does
-  not cure guest statements or quoted third-party text.
-- Art. 15(1): reuse of processed data requires a notice that the data was processed (TK's reuse page
-  requires attribution plus that notice and a liability disclaimer). Put the notice in `NOTICE.md` and
-  the datasheet. Whether our normalisation counts as "processed" is I; state the notice to be safe.
-- `api.sejm.gov.pl/sejm.html` states no licence or terms of use (V). Do not invent one.
-
-## Art. 29 (quotation)
-
-- Quotation is permitted for a purpose (criticism, teaching, scholarly work). It is a defence for the
-  quoting party, not a licence the quoted author gave to anyone downstream. Applies to wikiquote
-  (1,000-char quote cap per Wikiquote policy), wiktionary example citations, fan-wiki in-game text and
-  lyrics, and quoted spans in court rulings.
-- A dataset that copies those quotes in bulk is redistributing the quoted works. Filter them out or
-  withdraw; do not label them with the site's licence.
-
-## EU documents
-
-- EUR-Lex: CC BY 4.0 covers editorial content, summaries, consolidated texts. For legal documents the legal
-  notice says they can be re-used commercially or non-commercially "unless otherwise specified", with
-  exceptions for special conditions of use, third-party works and industrial property
-  (`https://eur-lex.europa.eu/content/legal-notice/legal-notice.html`).
-- Decision 2011/833/EU covers Commission documents only; its Art. 2(2) excludes items where third-party IP
-  prevents reuse. Other institutions fall under the general notice (I).
-- Art. 4 of the Polish Act does not apply to EU acts. Proposed registry label for eurlex:
-  `LicenseRef-EU-Reuse-Policy`, caveats for ECB (~4%), state-aid notices (~2.5%), EESC, ETSI citations.
-- TED: procurement notices "can be freely reused" unless noted; CC BY 4.0 for SIMAP editorial content, CC0 for
-  metadata; exceptions for third-party works and identifiable individuals. The notice does not
-  separately address text written by member-state authorities, so it is not treated as a licence for
-  notice text. `ted_pl` keeps public-sector buyers only (TED buyer legal type) and records a status, not a
-  licence: art. 4 pkt 2 (a contested reading) and the Open Data Act where it applies, as our assessment
-  (`LicenseRef-TED-Notice-Status`).
-
-## Wikimedia licence versions
-
-- Wikimedia text was CC BY-SA 3.0 (and GFDL-dual before 2009) and is CC BY-SA 4.0 on the live sites today
-  (`rightsinfo`).
-- Audit helper rule: label a record CC-BY-SA-3.0 if its last revision is before 2023-06-01 (add GFDL if
-  before 2009), otherwise CC-BY-SA-4.0. **The 2023-06-01 cutoff is conservative. Verify the exact effective
-  date before relying on it.** If `src/` has no shared helper yet, write one and call it from every wiki
-  builder; do not hard-code a label per source.
-- Polish Wikinews: CC BY 2.5 until a 2024 community vote (2024-07-22 to 2024-08-20) moved it to 4.0. Its
-  own cutover date applies; confirm the effective date on the vote page. All 24,386 docs were labelled 2.5, which
-  is wrong for later edits. Label per revision date, not per source.
-- Wikisource policy admits in-copyright texts with consent shown on the talk page or via OTRS, licensed CC
-  BY-SA 4.0 or higher. The SpeakLeash-derived rows kept neither the consent nor the version.
-- Wikibooks GFDL-only text is incompatible with CC BY-SA unless dual-licensed or "or later" with an
-  eligible migration date.
-
-## Not analysed by the audit
-
-- Database right (Act of 27.07.2001): not analysed; inferred low risk for public-body sources.
-- Polish parody law for Nonsensopedia's Nonźródła, Gra and Forum content.
-- GDPR for named private persons in court rulings and interpellations (flagged as open in the datasheets;
-  NERGAL is the PII pass and a release gate wherever the card says so).

.agents/skills/source-rights-review/references/templates.md

@@ -1,145 +0,0 @@
-# Templates
-
-Starting points, not a framework. Copy the shape; keep the logic in the committed fetch/clean script
-and in `src/rights.py` (one shared copy, not one per fetcher).
-
-## Fail-closed licence check + sampling helpers
-
-Self-checking sketch (`python3 file.py` prints `ok`). Feed `check_licence_text` the text of **every**
-page that can restate the licence (foreword, citation block, ToU, CMS/API field), not only the badge page.
-Add a fixture test that loads the saved live page text and asserts `LicenceRejected`.
-
-```python
-import hashlib, random, re
-from math import sqrt
-
-DENY = re.compile(
-    r"niekomercyjn|non-?commercial|by-nc|by-nd|no-?derivatives?|bez utworów zależnych"
-    r"|modeli językowych|trenowani|large language model|\bLLM\b|AI training|machine learning"
-    r"|text and data mining|\bTDM\b|data mining"
-    r"|wszelkie prawa zastrzeżone|all rights reserved|dozwolony użytek"
-    r"|scrap(?:e|ing)|automated (?:access|means)|bulk download",
-    re.I,
-)
-
-
-class LicenceRejected(Exception):
-    pass
-
-
-def check_licence_text(text: str, allowed: tuple[str, ...]) -> str:
-    """Return the matched allowed licence id, else raise. `text` = every page that restates the licence."""
-    m = DENY.search(text)
-    if m:
-        raise LicenceRejected(f"deny pattern {m.group(0)!r}: ...{text[max(0, m.start()-60):m.end()+60]}...")
-    found = [a for a in allowed if a.lower() in text.lower()]
-    if len(found) != 1:
-        raise LicenceRejected(f"expected exactly one of {allowed}, found {found}")
-    return found[0]
-
-
-def sha256_text(text: str) -> str:
-    return hashlib.sha256(text.encode("utf-8")).hexdigest()
-
-
-def wilson(k: int, n: int, z: float = 1.96) -> tuple[float, float]:
-    p = k / n
-    d = 1 + z * z / n
-    c = (p + z * z / (2 * n)) / d
-    h = z * sqrt(p * (1 - p) / n + z * z / (4 * n * n)) / d
-    return max(0.0, c - h), min(1.0, c + h)
-
-
-def sample_ids(ids: list[str], n: int, seed: int) -> list[str]:
-    return random.Random(seed).sample(sorted(ids), n)
-
-
-if __name__ == "__main__":
-    ok = "Licencja: CC BY 4.0. Możesz ponownie wykorzystywać materiał."
-    bad = ok + " Ten podręcznik nie może być wykorzystywany do trenowania dużych modeli językowych."
-    assert check_licence_text(ok, ("CC BY 4.0",)) == "CC BY 4.0"
-    for t in (bad, "CC BY 4.0 wyłącznie w celach niekomercyjnych"):
-        try:
-            check_licence_text(t, ("CC BY 4.0",)); raise SystemExit("should have failed")
-        except LicenceRejected:
-            pass
-    lo, hi = wilson(158, 200); assert round(lo * 100) == 73 and round(hi * 100) == 84
-    assert sample_ids(list("abcdefghij"), 3, 1) == sample_ids(list("jihgfedcba"), 3, 1)
-    print("ok")
-```
-
-The deny list is a starting set. A match means stop and read; it is not a verdict. Extend per source
-language and per site. Prefer the allowlist argument: pass the exact licence id or URI you expect.
-
-## Sampling protocol
-
-1. Choose strata (wiki, namespace, subsite, document type, speaker role). Record the stratum definition.
-2. `sample_ids(ids, n, seed)` with `n >= 40` per stratum, ~200 for a headline figure. Write the seed and the
-   sorted ID list to `artifacts/<audit>/<source>_sample.json`.
-3. Classify every item: `own_licensed | public_domain | third_party_in_copyright | mixed | unknown`.
-   Save `id, class, evidence_url_or_note` as CSV next to the IDs.
-4. Report `k/n`, the Wilson interval, **and** the token or char share (weight by length), per stratum.
-5. Mark the number V if hand-labelled, I if produced by a regex or heuristic classifier.
-
-## `data/<key>/<key>.license-evidence.json` (shape; reuse keys already in the repo)
-
-```json
-{
-  "license": "CC BY-SA 4.0",
-  "spdx": "CC-BY-SA-4.0",
-  "status": "documented-statutory-basis-review-needed",
-  "review_scope": "what was and was not reviewed, in one paragraph",
-  "finding": "one sentence verdict",
-  "chain_of_title": [
-    {"hop": "author -> publisher", "party": "...", "statement": "verbatim, short",
-     "url": "https://...", "retrieved": "YYYY-MM-DD", "sha256": "..." , "wayback": null, "mark": "V"}
-  ],
-  "intermediary": {"name": "HF user/dataset@revision", "license_field": "unknown"},
-  "per_item_rights_field": "dc.rights | siprop=rightsinfo | TEI availability | none",
-  "not_checked": ["CLARIN-PL licence page (timeout)", "..."]
-}
-```
-
-`status` values seen in the repo: `reviewed-open-official-materials`, `documented-statutory-basis-review-needed`.
-Never copy another source's `status`.
-
-## Decision record (`polish-dynaword-v2/repo_patch_suggestions/decisions/<key>.yaml`)
-
-Schema: `decision-record.schema.yaml` (same directory). Do not add fields it does not have.
-
-```yaml
-source_id: <key>
-status: admitted | excluded | held_for_review   # the source as a whole; no "partial" status
-scope:
-  release: v0.2.6 | null
-  artifact_revision: <git sha> | null
-  withheld: []   # partial admission: status admitted + entries below; empty unless admitted
-  # - slice: "<reproducible selector: ids, filter, evidence-file column value>"
-  #   documents: <int> | null
-  #   status: excluded | held_for_review
-  #   reason: "<why>"
-evidence:
-  upstream_url: https://...
-  license_evidence:
-    - "V: <licence statement, where it lives, retrieval date>"
-    - "I: <inferred point, marked as such>"
-  provenance_evidence:
-    - "<chain of title; intermediary and its licence field>"
-decision:
-  date: "YYYY-MM-DD"
-  rationale: "<admit / filter / relabel / withdraw, and why; what stays out of the release>"
-  supersedes: null
-verification:
-  artifact_sha256: <sha256 of the shard the decision applies to> | null
-  notes: "<what was NOT checked; hand-curated inputs; open human steps>"
-```
-
-Per-text evidence (screens, sample classifications) goes in `polish-dynaword-v2/evidence/`
-(example: `1000_novels_rights_screen.csv`). If you have no checkout of that repo, paste the record into the
-PR description and say so.
-
-## `legal_note` shape (`src/sources.py`)
-
-One short paragraph: the basis, the caveat, the withdrawal reason if any, the clause URL. A withdrawn
-source's note names the clause that blocks it and the audit date. Existing notes: `europeana` (US-status
-caveat) and `european_hplt_v3_pl` (written when it was admitted; it must be updated with the withdrawal reason).

.agents/skills/source-rights-review/references/worked-examples.md

@@ -1,152 +0,0 @@
-# Worked examples (2026-10 audit)
-
-One case per failure class: source key, the one fact that shows the point, and how to detect it.
-V = verified against a file, parquet, API field or live page. I = inferred.
-Full evidence: `artifacts/rights_audit_2026-10/reports/*.md` and `REVIEW.html`.
-Verdicts below are the audit's proposals for the maintainer, not decisions.
-
-## 1. Packaging licence != content licence
-
-- **HPLT** (`european_hplt_v3_pl`). CC0 on the dataset package. It says nothing about the crawled
-  pages. Removed after v0.2.5. Decision record: `hplt_v3_pl.yaml`. Detect: ask "who wrote the page, and
-  did they grant anything?" If the only answer is the packager's licence, stop.
-
-## 2. Compilation licence over third-party works
-
-- **1000_novels**. CLARIN-PL's CC BY 4.0 covers the compilation. Per-text screen: 830 PD by term,
-  10 PD per Wolne Lektury, 17 in copyright, 143 unverified (V). The 17 (2 by Dąbrowska, 12 translated by
-  Michał Friedman, 3 by Hōjun) are CC BY-SA 3.0 PL on Wolne Lektury, not CC BY. All 1,000 parquet rows
-  still said CC-BY-4.0 with empty `author` (V). Not checked: the CLARIN-PL licence page (timeout) (I).
-- **nkjp1m**. The rationale for releasing NKJP1M is that fragments are short (NKJP book ch. 5.3, V).
-  That is a quotation-style argument, not a grant from the rights holders. Sources conflict on the licence
-  (CC-BY, CC-BY 4.0, GPL v3). Detect: does the compiler say *why* it may redistribute, and is that a grant?
-
-## 3. Uniform label over per-item licences
-
-- **wolne_lektury**. 6,141 rows under one label. Matched 5,604 rows to WL `dc:rights`: ~3,800 PD,
-  ~1,340 FAL 1.3 (living poets' own grants), ~58 CC BY-SA 3.0 PL/4.0 (V). Share-alike on PD texts
-  overclaims; 3.0 PL to 4.0 is not a free upgrade. The SpeakLeash export had stripped the per-text footers.
-- **biblioteka_nauki**. 583 records checked against the live API: 0 licence-type mismatches (V). But the
-  version collapsed to 4.0: BY = 170 at 4.0, 101 at 3.0 PL, 27 at 3.0 Unported, 2 at 2.0. Three "PD"
-  records were living authors' works carrying a platform PD Mark label (a label, not a grant).
-  Detect: compare the stored label with the upstream field per record, version included.
-
-## 4. NC / ND / AI-training / TDM terms
-
-- **openstax_pl**. The foreword body says CC BY 4.0. The "Cytowanie i udostępnianie" block on all 8
-  `/pages/przedmowa` pages says the book may not be used to train large language models without
-  OpenStax Poland's written consent, and allows reuse only non-commercially (V). The OpenStax CMS
-  lists all 8 books as CC BY-NC-SA 4.0 (V). The clause predates the snapshot (Wayback: 2025-02-17,
-  2025-10-09) (V). `license_evidence()` read only the foreword and hard-coded CC-BY-4.0 (V).
-  Detect: grep every page of the site for the deny list; check the CMS or API licence field.
-  Lesson: the page with the badge is not the page with the terms.
-
-## 5. Platform-asserted licence over imported text
-
-- **common_voice_pl**. CC0 is a platform assertion. 45,043 sentences matched against the Common Voice
-  server data: 24,709 (54.9%) are in `selected-europarl-v7-pl.txt`, 18,569 (41.2%) in
-  `sentence-collector.txt`, 37 in both, 1,802 (4.0%) in neither (V). The EP legal notice allows reuse
-  "provided that the entire item is reproduced and the source is acknowledged": a single sentence is not
-  the entire item (V). `sentence_domain` is "unspecified" for 45,035 rows, so per-sentence origin is
-  not exported (V). Detect: find the platform's own text-intake rules and match the data to the
-  upstream files they list, using the same normalisation (NFKC, collapse whitespace, strip final punctuation).
-
-## 6. Operator footer over independent tenants
-
-- **samorzad_gov_pl**. The CC BY-SA 4.0 footer is a platform template run by KPRM/MC over 247 independent
-  tenants (72,472 docs). The tenant agreements are not published; the onboarding PDF mentions no licence
-  grant (V). The grant comes from the operator, not the authors. Third-party subsets: 69 poetry-series
-  docs, 9 IMGW notices ("podlega ochronie prawnej"), 112 pupil/participant works, 810 docs with "Źródło:"
-  lines (V, regex). A 200-doc sample (seed 7) had ~2-3% real third-party material (I).
-  Proposed: filter the subsets, relabel "operator-declared platform licence", ask KPRM/MC in writing (human step).
-
-## 7. Partner republications
-
-- **global_voices**. The CC BY covers "content created by Global Voices". 64 of 2,040 docs (3.1%) were
-  republished from partners under content-sharing agreements (17 PRI/The World, plus Metamorphosis,
-  Irrawaddy, Nepali Times, Premium Times, HKFP, 350.org) (V). They are selected by the outlet name in
-  the sidecar `author` field plus a regex for the agreement wording.
-- **govpl**. Footer says CC BY-SA 4.0 for all text, but gov.pl's copyright page carves out third-party
-  works. 764 docs have "Źródło:" lines, ~154 name PAP. A 200-doc sample (seed 42) had 0 clear
-  third-party reprints. The parquet has no URL or subsite field, so screening needs a re-fetch.
-
-## 8. Quotation-right content presented as licensed
-
-- **wikiquote**. CC BY-SA covers the contributors' selection, not the quotes. Random 200-doc sample
-  (seed 1): 158 in copyright (79%, Wilson 73-84%), 20 PD, 13 mixed, 7 translation-only, 2 unknown (V).
-  Typical page: `wikiquote_2429270` (Alice Sebold, b. 1963, modern translation).
-- **wiktionary_examples**. Live sample of 74 entries / 111 example lines: lines citing an external source
-  hold 34% of chars (23% of lines); NKJP alone 21% of chars (V). The fetcher strips `{{źródło}}` and
-  `<ref>` (lines 126-127), so the dataset cannot be screened afterwards. Lesson: decide per line,
-  before cleaning, and keep a sidecar.
-- **fandom_pl** (per wiki, 40-doc samples): dragonage 22/40 (CI 40-69%), elderscrolls 17/40
-  (29-58%), wiedzmin 11/40 (16-43%), gothic 0/40 (0-9%), harrypotter 0/40; naruto full song lyrics
-  (4.1-4.4% of tokens); pokemon structurally a translation of Bulbapedia (CC BY-NC-SA 2.5, I);
-  creepypasta: 135 of 153 English-titled translations absent from the English Creepypasta Wiki (I).
-  starwars, fallout, sims, gta were not sampled.
-- **nonsa**. Site licence fine (CC BY-SA 3.0 via `rightsinfo`). Namespace 100 "Cytaty" (287 docs, 2.6%
-  of tokens) quotes film/TV dialogue and lyrics; 12 `<poem>` docs carry lyrics (V). A namespace-level filter
-  fixes it, so carry the namespace into each record.
-- **saos** (court rulings): ~1.1% of chars in long quoted spans that are not statutory text (I, heuristic).
-  Art. 29 is a defence for the court's use, not a grant to the dataset.
-
-## 9. Intermediary snapshots
-
-- **wikipedia, wikisource, wolne_lektury, 1000_novels, eurlex, parliamentary** came through SpeakLeash, which
-  strips per-item footers and documents no selection. Rows have `file_key: None` and no fetch script.
-- **PiotrSty/** HF snapshots (sejm_api, sejm_api_2011_2022, uzp_orzeczenia_pl, fandom_pl, nonsa,
-  edukacja_medialna_pl, saos) and **dawidmajewski/** (samorzad_gov_pl). `sejm_api` is
-  `PiotrSty/sejm-speeches-corpus@124557799608`, not the live API; its `source_url` is a day-level endpoint.
-- **saos**. `PiotrSty/saos-polish-court-judgments@736cba4` is `license: unknown`. 20 of 20 IDs matched live
-  text after the PR's normalisation; the snapshot covers 54.9% of live SAOS (296,692 of 540,726).
-  SAOS publishes no licence (`/regulamin` returns 404) and disclaims content responsibility. TK requires
-  a "processed data" notice (Open Data Act Art. 15(1)); SN and KIO terms were not found.
-- **nonsa**: WikiTeam item `wiki-nonsa.pl-20251009` plus HF `PiotrSty/nonsa-pl`; 100 pages (0.8%) were
-  deleted live after the dump. Honour deletions.
-
-## 10. Licence version drift
-
-- **wikipedia, wikivoyage, wikibooks, wikisource, wiktionary_examples**: labelled CC-BY-SA-3.0 while live
-  `rightsinfo` says 4.0. Rule used in the audit: label a record 3.0 if its last revision is before
-  2023-06-01 (add GFDL before 2009), else 4.0. The 2023-06-01 cutoff is conservative; verify the exact
-  effective date before relying on it.
-- **plwiki_talk / plwiki_user_talk**: labelled 4.0 per record while `created` is the last-revision date;
-  42% of talk docs (25% of tokens) and 64% of user-talk docs (42% of tokens) were last edited before
-  2023-06-01, so their content is 3.0 (V, from the parquet).
-- **wikinews**: Polish Wikinews voted 2024-07-22 to 2024-08-20 to move from CC BY 2.5 to 4.0. All 24,386
-  docs were labelled 2.5. Confirm the effective date on `Wikinews:Głosowania/Zmiana licencji na CC:BY 4.0`.
-- **wikibooks**: 24 docs (0.4% of tokens) mention GFDL, e.g. `wikibooks_3153`, `_3155`. GFDL-only
-  text is incompatible with CC BY-SA unless dual-licensed or "or later".
-
-## 11. Wrong public-domain claim
-
-- **wikisource**. 632,005 rows, uniform CC-BY-SA-3.0, no title/author/page id (V). The card said "underlying
-  texts are public-domain works": false. `wikisource_1295016` is a Conrad translation by J. B. Rychliński
-  (d. 1974); the Wikisource footer says protected in Poland until 2045, in the US until 2021, i.e. PD-US only (V).
-  Others: post-war editions (`wikisource_1799959`, `_1182398`, `_1185399`, `_1265054`, `_1280295`),
-  `_1800344` ("Copyright by Jerzy Kuliński", 1995), `_1802332` (2016 translation under CC BY 2.5).
-  Policy admits in-copyright texts with consent under CC BY-SA 4.0, but the dataset kept neither the
-  consent nor the version. Share unquantified (I); a crude filter flags 372 rows (1.7% of chars).
-- **eltec_pol (clean contrast)**: 100 Polish originals, latest author death Makuszyński 1953, every TEI
-  header carries CC BY 4.0, no translators (V).
-
-## 12. Official-document basis stretched
-
-- **parliamentary**. Chain Sejm -> IPI PAN PPC -> SpeakLeash -> us; the only statement is IPI PAN's "public
-  domain". Committee sittings are ~59% of chars with speaker labels stripped, so guests cannot be filtered (V).
-  Registry said CC-BY-4.0, the card said public-domain (V).
-- **sejm_committee_transcripts**. Non-official speakers ~5% of chars (1.8% of turns): Konfederacja Lewiatan,
-  Grupa Azoty S.A., Greenpeace, ClientEarth, universities; 3,097 "Głos z sali" turns (I; known false
-  positives NBP, Wody Polskie, IPN). Fix: allowlist of official roles, log dropped speakers to a sidecar.
-- **uzp_orzeczenia_pl**: 250-ruling sample: 71% recite party arguments, 50% quote 300+ chars, 4.4% cite an
-  expert opinion (V). **eurlex**: Art. 4 basis in the card does not apply to EU acts.
-
-## Clean patterns to copy
-
-- **open_icm_pl**: 85/85 records match live DSpace `dc.rights` and `dc.rights.uri`, versions included; the
-  fetcher uses an allowlist, so NC/ND and "Dozwolony użytek" are rejected.
-- **rock_pollub_pl**: keeps an item only if both the facet and the PDF bitstream `dc.rights` say BY-SA 4.0;
-  8 of 8 retained match live.
-- **open_agh_chemistry_pl**: 4/4 rights pages match recorded SHA-256; no Wayback copy exists, so archive it.
-- **wiadomosci_statystyczne_pl**: a per-article licence line is required (315 of 460 carry it, 169 shipped,
-  2022+); 21/21 live pages match.

.gitattributes

@@ -35,6 +35,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.xz filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
+data/samorzad_gov_pl/*.jsonl filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 # Audio files - uncompressed
 *.pcm filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -5,17 +5,3 @@ data/european_hplt_pl_500m/
 data/european_hplt_pl_chunk_test*/
 data/european_hplt_pl_file_test/
 data/european_hplt_pl_parallel_500m*/
-__pycache__/
-*.pyc
-# Build inputs and scratch for the studia_bas source: the issue PDF cache, the
-# .jsonl.zst intermediate build_dynaword.py consumes, and one-off probe output.
-studia_bas_pdfs/
-artifacts/studia_bas*.jsonl
-artifacts/studia_bas*.jsonl.zst
-artifacts/studia_bas_download_test/
-artifacts/author_probe.txt
-artifacts/author_new.txt
-artifacts/probe_all.jsonl.zst
-artifacts/download_all.log
-artifacts/studia_bas_pii_audit.md
-artifacts/studia_bas_builder_review.md

AGENTS.md

@@ -4,27 +4,21 @@ Guidance for agents and contributors adding a source and cutting a release.
 Read this before opening a PR. Source PRs and releases are separate: a source PR
 adds one source with `release: None`; the maintainer later cuts one release that
 bumps the version and docs for every source merged since the last one.
-**Every source needs a recorded rights review before its PR and before its release:
-open `.agents/skills/source-rights-review/SKILL.md` and follow it** (see "Rights
-review" below; agents that don't auto-discover skills must open it by path).
 
 ## How the docs are actually maintained
 
-The README is hand-written. `src/make_docs.py` refreshes only its generated
-blocks: the stable line of the header, the counts in the current version's row of
-the releases table, the Sources and Excluded tables, and Results (from
-`artifacts/pattern_frequency_hf_snippet.md`). It fails if one of those blocks is
-missing, and `src/test_make_docs.py` checks that the committed README is what it
-renders. It also writes `LICENSE`, a `CHANGELOG` stub for a new version and the
-*template* datasheets. What it does not do:
+`src/make_docs.py` is a **scaffolding/assembly helper, not a round-trip source
+of truth.** It regenerates the README source table + release totals, `LICENSE`,
+a `CHANGELOG` stub, and *template* datasheets — but it does **not** reproduce the
+committed docs on its own:
 
 - It iterates `SOURCES` in `src/sources.py`; any source in `data/` but missing
   from `SOURCES` is silently dropped from the table and totals.
 - It stamps a regenerated datasheet's "Added" with the source's `added` field,
   falling back to the global `ADDED` constant when the entry has none — so a new
   entry without `added` still gets a wrong date.
-- It does not write README narrative: the releases text, version details,
-  contributors, changes, notices and policy sections are edited by hand.
+- It cannot reproduce hand-written README narrative (audit notes, policy notes,
+  the phrase-frequency section).
 
 So datasheets and the README narrative are **hand/contributor-maintained**.
 Never run `make_docs.py` and commit the result blind — `git diff` first and
@@ -37,31 +31,6 @@ the rejected ones and *why*. Check it before spending a day on a source someone
 already found to be blocked — and append your own finding there whether the
 answer was yes or no.
 
-## Rights review (required before a source PR and before a release)
-
-**Follow `.agents/skills/source-rights-review/SKILL.md`** — method, failure classes,
-templates. Do not rely on auto-discovery: open the file. HPLT was released on a
-CC0 label that covered only the packaging of crawled pages and was removed after
-v0.2.5; the 2026-10 audit (`artifacts/rights_audit_2026-10/`) found the same flaw
-in five more shipped sources. Rules:
-
-1. A licence on a platform, package or compilation is not a licence on the works
-   inside. Find who wrote the text and what *they* granted.
-2. Unverified = not admitted. Merge with `release: None`; never release.
-3. Read the full terms, not the badge: NC/ND, AI-training and scraping bans,
-   per-item rights fields. A fetcher reads the licence from upstream and fails on
-   NC/ND or AI-use clauses; it never hard-codes it.
-4. Rights per item → per-row `license`, not one label. "Public domain" means every
-   author and translator died in 1955 or earlier (2026; life + 70).
-5. Sample for third-party content (seed recorded, ≥40 docs per stratum, Wilson
-   interval, token share). Filters go in the committed fetch/clean script, with a test.
-6. Name every intermediary (HF snapshot, SpeakLeash, dump) in the datasheet and
-   `provenance`, and write down what you did not check.
-7. Record it: `license`/`license_spdx`/`legal_note` in `src/sources.py`,
-   `data/<key>/<key>.license-evidence.json`, a decision record, a findings-log entry.
-8. Never write to rights holders, accept terms, create accounts or get past a
-   CAPTCHA — hand those to the maintainer.
-
 ## Add a source
 
 1. Produce the artifact under `data/<key>/`:
@@ -84,8 +53,7 @@ in five more shipped sources. Rules:
    cut. Nothing is counted just because it has a `stats.json`.
 4. Add a contract test: `src/test_<key>_contract.py` (canonical schema, non-empty
    text, positive token counts, uniform source/license, stats-file consistency).
-   Run `python3 -m pytest src/` before committing; install the test dependencies
-   once with `pip install -r requirements-dev.txt`.
+   Run `python3 -m pytest src/` before committing.
 
 ### Keep the PR to your source
 
@@ -191,15 +159,11 @@ What a fetcher should do to `text` before writing the `.jsonl.zst`:
   hand-listed.
 - **Personal data**: do not keep a scrubber in this repo. Apply
   [`SlayerLab/NERGAL`](https://huggingface.co/SlayerLab/NERGAL) before the
-  parquet is written (frozen regex ∪ model; placeholders `[PII]` / `[PHONE]`,
-  and `[PERSON]` with names on). A phone mask is `[PHONE]`; the NERGAL pass
-  renames the legacy `[Telefon]`, so no shard ships it.
+  parquet is written (frozen regex ∪ model; placeholders `[PII]` / `[Telefon]`).
   Names of public officials acting in an official capacity are not PII and
   should stay — removing them would gut parliamentary and judicial sources.
   A source scrubbed some other way may still merge with `release: None`, but it
   is not admitted to a release until its shard has been re-run through NERGAL.
-  The one exception is v0.2.6, which shipped before the NERGAL pass; the pass
-  runs on every source before v0.2.7.
   Say in the datasheet which scrubber ran. Note that `main` is public on the Hub
   whether or not a source is released.
 
@@ -215,41 +179,22 @@ Two rules about all of the above:
 ## Cut the release (maintainer, one commit after the source PRs merge)
 
 0. In `src/sources.py`, set `release` on each merged source this release ships
-   (check its shard went through NERGAL first; v0.2.6 was the one exception), and
-   `removed` on each source it drops. A source is not released until its rights
-   review is recorded (see "Rights review").
-1. In `src/make_docs.py`: bump `VERSION` and `RELEASE_DATE`.
+   (check its shard went through NERGAL first).
+1. In `src/make_docs.py`: bump `VERSION` and `RELEASE_DATE`. Add a row for the new
+   version to the version table and a row for each new contributor to the
+   Contributors table (both are literal rows in the template).
 2. Regenerate the phrase-frequency report and charts (registry-independent — it
    globs `data/*/*.parquet`):
    ```bash
    python3 src/pattern_frequency_report.py
    ```
-   Writes `artifacts/pattern_frequency_hf_snippet.md` + 10 PNGs; step 3 splices
-   it into the README "Results" section.
-3. Edit `README.md` by hand: add a ``| `vX.Y.Z` | stable release | 0 | 0B |`` row
-   to the stable releases table (relabel the previous one), a Contributors row
-   for each new contributor, the version details and the main block of the
-   header. Then run `python3 src/make_docs.py`: it fills in the totals, the
-   header's stable line and the Sources and Excluded tables, from the
-   per-source `stats.json` files. `git diff` the result.
-4. Append the release to `VERSIONS`, `DOCUMENTS` and `TOKENS` in
-   `src/plot_version_growth.py`, using the same stats sums as step 3. Then check the
-   paper (polish-dynaword-v2) against the tree:
-   ```bash
-   python3 src/verify_paper_claims.py --tex ../polish-dynaword-v2/main.tex --ref worktree
-   ```
-   It exits 0 once the paper describes this release. Without `--ref`, it reads
-   every repository file at the revision the paper's `\snapshot` pins.
-5. Prepend the release notes to `CHANGELOG.md` under a new `## vX.Y.Z (date)`
+   Writes `artifacts/pattern_frequency_hf_snippet.md` + 10 PNGs. Splice the tables
+   and chart embeds into the README "Results" section by hand.
+3. Update `README.md` by hand: header totals, version table, source table row,
+   Contributors row. The document/token totals must equal the sum of the
+   per-source `stats.json` files.
+4. Prepend the release notes to `CHANGELOG.md` under a new `## vX.Y.Z (date)`
    heading. History is append-only — never rewrite earlier releases.
-6. Tag the commit where the docs and the artifacts agree, and push the tag:
-   ```bash
-   git tag -a vX.Y.Z <commit> -m "vX.Y.Z stable: <docs> documents / <tokens> tokens / <n> sources"
-   git push origin vX.Y.Z
-   ```
-   A release with no tag can only be cited by hash, and every later doc fix
-   makes that hash a worse citation than the one before it — which is how
-   `v0.2.5` ended up cited three different ways. Tag it once and cite the tag.
 
 ## Push to Hugging Face
 
@@ -306,14 +251,7 @@ before staging. `*.parquet` is LFS-tracked; commit the pointer, not the blob.
 
 ## Known drift / cleanup opportunities
 
-- `europeana` is in `SOURCES` but has no `data/` shard anywhere. make_docs
-  skips it with `! no stats`. Intentional placeholder or stale — confirm
-  before relying on `build_dynaword.py --all`.
-- make_docs computes the current release's totals from the `stats.json` files in
-  the tree. After a released source is rebuilt on main, rerunning it with the
-  same `VERSION` would move the released counts; bump `VERSION` first.
-- `uzp_orzeczenia_pl` is in `SOURCES` (`release: None`), but its data is held off
-  main until v0.2.8 (personal data). `src/build_uzp_orzeczenia_pl.py`, its
-  tests and `artifacts/uzp_orzeczenia_pl_ontology_manifest.json` stay, and the
-  legitimate-interest note is at `artifacts/uzp_orzeczenia_pl_legitimate_interest.md`
-  until the shard returns; make_docs skips it with `! no stats`.
+- `europeana` is in `SOURCES` but has no `data/` shard anywhere, and
+  `parlamint_pl` has one only in some working trees — it is not committed.
+  make_docs skips both with `! no stats`. Intentional placeholders or stale —
+  confirm before relying on `build_dynaword.py --all`.

BLOGPOST.md

@@ -0,0 +1,96 @@
+# Licensed to Train: a 100% openly-licensed Polish LLM stack
+
+*Draft — Slayer Labs. Doubles as the skeleton for a short tech report.*
+
+## TL;DR
+
+- We built **Polish DynaWord**, a Polish pre-training corpus where **every single token is openly licensed for model training**, with a documented legal basis per source.
+- **5.64B tokens · 2.38M documents · 6 sources** — larger than Danish Dynaword (4.8B), the reference edition in the family.
+- We trained a **dedicated 32k Polish BPE** that encodes Polish **1.75× tighter than Bielik's tokenizer** and **1.58× tighter than Llama-3** — at a quarter of Llama-3's vocabulary.
+- We are training a small LM **from scratch on this corpus** with a modern stack (modded-nanogpt: Muon, RoPE, RMSNorm, QK-norm, SwiGLU). The result is a model whose **entire provenance — data, tokenizer, and training — is legally defensible end-to-end.**
+- Everything is released: corpus, tokenizer, and reproducible build scripts.
+
+---
+
+## 1. The problem: clean data is the hard part
+
+Most "open" pre-training datasets ride on Common Crawl, whose underlying content carries ambiguous rights. That ambiguity is not academic: projects have been pulled or never released over exactly this (the Dynaword paper, [arXiv:2508.02271](https://arxiv.org/abs/2508.02271), cites a shut-down music generator, a withdrawn Danish encoder, and the never-released Nordic Pile).
+
+For Polish specifically, there was no openly-licensed, traceable, continuously-maintained corpus in the [Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword) family. Danish, Norwegian, Swedish, Icelandic — yes. Polish — no. That gap is the project.
+
+The interesting work is **not** downloading text. It is the licensing, deduplication, decontamination, and provenance — putting each source in the right place with the right paper trail. That is what takes time; the bytes are commodity.
+
+## 2. The corpus
+
+We follow the Dynaword guidelines literally:
+
+1. **Open & traceable licensing.** Not "this is public domain" but *why* — statutory basis or upstream license, documented per source.
+2. **Reproducibility.** A single script rebuilds the corpus from sources.
+3. **Documented.** A datasheet per source.
+4. **Extensibility.** Versioned; new sources by contribution.
+
+**Sources (v0.1):**
+
+| source | license | documents | tokens |
+|---|---|---:|---:|
+| Legal & official (EU law + parliamentary) | CC-BY-4.0 / official documents (art. 4) | 567k | 4.0B |
+| Encyclopedic & reference (Wikipedia + Wikisource) | CC-BY-SA-3.0 | 1.80M | 1.5B |
+| Literature & books (public-domain collections) | CC-BY-SA-4.0 / public domain | 6k | 0.1B |
+| **total** | | **2.38M** | **5.64B** |
+
+Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed data. Gates are deliberately minimal (drop short docs, non-Polish, exact duplicates, OCR garble); heavy quality filtering and mix-weighting belong downstream, in training, not in the released corpus.
+
+**What we excluded, and why** (transparency matters as much as inclusion):
+
+- **Movie/TV subtitles** — derivative of copyrighted dialogue; mostly unlicensed uploads. This is the exact lesson Danish Gigaword learned with OpenSubtitles. Out.
+- **A large cultural-heritage aggregate** — mixed per-record rights (public-domain *and* rights-reserved in one bucket). Needs per-record rights filtering before any inclusion.
+- **A "novels" corpus** — labelled permissive, but likely contains in-copyright contemporary works. Pending title-level verification.
+
+The data itself comes from an open redistribution of these upstream sources; the redistributor is credited, and each upstream license/attribution is preserved.
+
+### Sidebar: the download was its own little puzzle
+
+The source host caps throughput at **~1.5 MB/s per IP** (confirmed identical across three machines — it is per-IP policing, not our link). Single-stream TCP collapsed under packet loss; parallel connections plateaued at the per-IP ceiling. The fix was simply **more IPs**: we sharded the corpus — and byte-range-split the 8.9 GB long-pole file — across three machines in parallel, reassembling on the target box. A reminder that the ceiling is rarely where you first think it is.
+
+## 3. The tokenizer: a Polish BPE that beats Bielik
+
+nanoGPT-style stacks default to GPT-2's byte-level BPE — which is terrible on Polish. So we trained a **32k byte-level Polish BPE** on a domain-balanced ~1 GB sample (capping the 71%-legal skew so the tokenizer doesn't overfit to legalese). Training took **51 seconds**.
+
+Then we measured **fertility** (tokens per word) on held-out Polish, against the obvious baselines:
+
+![tokenizer fertility](polish_tokenizer_fertility.png)
+
+| tokenizer | vocab | tok/word | vs ours |
+|---|---:|---:|---:|
+| **Polish-32k (ours)** | 32,768 | **1.74** | 1.00× |
+| Llama-3 | 128,000 | 2.74 | 1.58× worse |
+| Bielik-11B-v3 | 32,000 | 3.04 | **1.75× worse** |
+| GPT-2 | 50,257 | 3.66 | 2.10× worse |
+
+The headline: **our 32k Polish BPE encodes Polish 1.75× more efficiently than Bielik's** — at the *same* vocabulary size. And Bielik is *worse than Llama-3*, despite Llama having a 4× larger vocab.
+
+Why? **Bielik-11B-v3 is built on Mistral and inherited Mistral's tokenizer** — a general multilingual 32k vocab, never trained on Polish. It never got a Polish-native tokenizer. A dedicated Polish BPE sees the same text roughly twice as densely.
+
+Practically this means: ~2× more text per context window, and the same FLOPs train on ~2× more Polish. (Caveat for the rigorous: the held-out sample is in-domain Wikipedia; all four tokenizers see identical text, and the 1.75× gap is too large to be a domain artifact, but a fully out-of-domain re-test strengthens the published number.)
+
+## 4. The model: clean provenance, end to end
+
+A model is only as "open" as its *entire* lineage. Continually pre-training someone else's checkpoint inherits that checkpoint's data-provenance questions. So we train **from scratch** on the clean corpus.
+
+We use **modded-nanogpt** (Keller Jordan's speedrun stack — Muon optimizer, RoPE, RMSNorm, QK-norm, SwiGLU, fp8): a modern 124M-scale architecture, already validated, far more FLOP-efficient than vanilla GPT-2. We swap in our Polish BPE and retokenize the corpus into training shards.
+
+Target: a 124M (and later ~350M) Polish LM trained entirely on openly-licensed data, in ~one night on a single H100.
+
+> **[Results pending]** — loss curves, held-out perplexity, and a Polish eval (PolNative) to go here. The claim we are validating, à la the Dynaword paper's training experiments: clean, openly-licensed data is enough to train a capable Polish LM.
+
+## 5. Why it matters
+
+Put together, this is a Polish language-model stack where you can point at **every** component — the data, the tokenizer, the training run — and trace it to a license that permits the use. No scraped text of unknown rights. No copyrighted media. That is the spirit of the Open Source AI definition, applied end-to-end, for a language that didn't have it.
+
+## 6. Release
+
+- **Corpus:** `SlayerLab/polish-dynaword` (HF dataset, CC-BY-SA-4.0; per-source datasheets).
+- **Tokenizer:** `polish_bpe_32k.json`.
+- **Code:** reproducible build + tokenization + training scripts.
+
+*Built on the shoulders of the Dynaword guidelines (Enevoldsen et al., 2025) and the open-data communities behind every source.*

CHANGELOG.md

@@ -2,251 +2,15 @@
 
 ## Unreleased (on main)
 
-On main but in no release yet (`release: None` in `src/sources.py`): 2 sources,
-25,957 documents / 28,307,638 cl100k-proxy tokens.
+- `wiktionary_examples` and `sejm_api` are built, documented and present on
+  the main branch but have never been admitted to a stable release.
+  They are excluded from every release total until a release entry admits them.
+  The registry records this as `release: None` in `src/sources.py`; release
+  totals count only sources whose `release` is set and not newer than the
+  version being documented.
 
-- `sejm_interpellations` by Paweł Puzio: 25,950 documents / 28,180,895 tokens
-  (Hub PR #24). It quotes letters from the public, some with health details,
-  and waits for the NERGAL personal-data pass; planned for v0.2.7.
-- `kultura_bez_barier_pl` by Piotr Styła: 7 documents / 126,743 tokens (Hub PR
-  #27). It waits for an answer on the scope of its licence.
+## v0.2.5 (2026-08-14)
 
-Release plan: v0.2.7 follows the NERGAL personal-data pass, which runs on every
-source. `uzp_orzeczenia_pl` and any re-admission of `samorzad_gov_pl` or
-`1000_novels` wait for v0.2.8 at the earliest.
-
-## v0.2.6 (2026-10-22)
-
-27 sources, 3,394,876 documents / 7,036,938,603 cl100k-proxy tokens. v0.2.6
-ships before the NERGAL personal-data pass: only each source's own filters
-apply (see its datasheet), and the pass runs on every source before v0.2.7.
-`sejm_interpellations` and `kultura_bez_barier_pl` are on main but not in this
-release (see Unreleased). The README's "Changes since v0.2.5" section at the
-`v0.2.6` tag has the per-source details.
-
-Added: 12 sources, 1,097,821 documents / 637,130,408 tokens.
-
-- `plwiki_user_talk` by Piotr Styła: 380,295 documents / 381,015,336 tokens (Hub PR #40).
-- `sejm_committee_transcripts` by Piotr Styła: 613,722 documents / 112,003,155 tokens (Hub PR #37).
-- `plwiki_talk` by Piotr Styła: 43,054 documents / 55,564,235 tokens (Hub PR #36).
-- `ted_pl` by Piotr Styła: 14,210 documents / 39,580,791 tokens (Hub PR #32;
-  rebuilt on 2026-10-22 to keep only notices whose TED buyer legal type is a
-  public authority, a body governed by public law or a public undertaking,
-  removing 1,320, and to remove 14 notices that reproduce third-party text:
-  5 sharing a textbook passage, then 9 found by a model screen of every notice,
-  two review passes per flag and a same-template search).
-- `sejm_api_2011_2022` by Piotr Styła: 33,930 documents / 26,868,517 tokens (Hub PR #18).
-- `nonsa` by Piotr Styła: 11,692 documents / 15,439,683 tokens (Hub PR #41).
-- `studia_bas` by gzawadzki (Hub PR #19, landed by Piotr Styła): 112 documents / 2,256,009 tokens (Hub PR #44).
-- `wiadomosci_statystyczne_pl` by Piotr Styła: 169 documents / 1,506,269 tokens (Hub PR #35).
-- `rock_pollub_pl` by Piotr Styła: 8 documents / 1,177,858 tokens (Hub PR #33).
-- `edukacja_medialna_pl` by Piotr Styła: 248 documents / 713,052 tokens (Hub PR #26).
-- `open_agh_chemistry_pl` by Piotr Styła: 370 documents / 564,028 tokens (Hub PR #25).
-- `open_icm_pl` by Piotr Styła: 11 documents / 441,475 tokens (Hub PR #34).
-
-Changed: the 15 v0.2.5 sources kept total 2,297,055 documents / 6,399,808,195
-tokens.
-
-- `eurlex` is relabelled `LicenseRef-EU-Reuse-Policy` (the EUR-Lex notice grants
-  CC BY 4.0 only for consolidated texts and editorial content); 572 documents
-  with third-party material are dropped, and `eurlex.attribution.jsonl` gives
-  each row its EUR-Lex link. 242,488 documents / 2,333,038,468 tokens (Hub PRs
-  #71, #82, #173, #177).
-- `parliamentary` is rebuilt from IPI PAN's speaker-labelled TEI dump: only
-  official speakers are kept in the sittings and exact copies are dropped. The
-  System Informacyjny Sejmu credit is given for its Sejm material as a
-  precaution. 329,863 documents / 1,504,127,614 tokens (Hub PRs #108, #111).
-- `wikipedia` is rebuilt from the official plwiki dump, replacing the
-  SpeakLeash snapshot; each record is labelled by its contribution dates, and 42
-  pages with a copyright-violation notice or deleted for one are dropped.
-  1,468,647 documents / 1,226,906,115 tokens (v0.2.5: 1,171,897 documents; Hub
-  PRs #68, #128, #148).
-- `biblioteka_nauki` records carry the licence version and basis the Biblioteka
-  Nauki API gives for each; 3 Public Domain Mark records and 4,142 rows are
-  dropped after review. 37,843 documents / 590,924,796 tokens (v0.2.5: 42,071;
-  Hub PRs #62, #81, #186).
-- `dziennik_ustaw` no longer claims Monitor Polski, gains an ELI-address
-  sidecar and gives the System Informacyjny Sejmu credit as a precaution; text
-  and counts are unchanged: 35,442 documents / 486,126,575 tokens (Hub PRs
-  #103, #160, #162).
-- `wolne_lektury` is relabelled per document from its book's own licence, with
-  credits in `wolne_lektury.attribution.jsonl`; 67 documents are dropped, 174
-  are held out until their books' contents are checked, and the author's and
-  translator's notes are added to 459 texts. 5,900 documents / 91,715,560
-  tokens (Hub PRs #67, #99, #184, #188, #190, #191).
-- `govpl` drops 188 PAP reprints, 186 other third-party texts and 12,870 press
-  releases of prosecutor's offices. 74,946 documents / 68,291,645 tokens
-  (v0.2.5: 88,190; Hub PRs #63, #170, #214).
-- `sejm_api` cuts the "Przebieg posiedzenia" trailers, puts the 2,466
-  statements they appended into rows of their own and drops 123 rows by
-  speakers outside its allowlist. 39,776 documents / 30,637,660 tokens
-  (v0.2.5: 38,812; Hub PRs #83, #158).
-- `eltec_pol` adds author metadata and an attribution sidecar and restores the
-  chapter titles. 100 documents / 21,504,056 tokens (Hub PR #187).
-- `wikibooks` withholds 54 pages; each record is labelled by its contribution
-  dates and the licence of imported text, and markup residue is removed. 9,041
-  documents / 15,220,800 tokens (v0.2.5: 9,112; Hub PRs #127, #134, #139, #142,
-  #147).
-- `wikivoyage` withholds 6,330 pages, 6,326 of them text from Wikitravel; each
-  record is labelled by its contribution dates, and markup residue is removed.
-  7,312 documents / 14,084,102 tokens (v0.2.5: 13,645; Hub PRs #125, #133,
-  #138, #141).
-- `wikinews` withholds 1 page; each record is labelled by its contribution
-  dates and the licence of imported text, and markup residue is removed. 23,572
-  documents / 10,968,504 tokens (v0.2.5: 24,386; Hub PRs #77, #130, #132, #137,
-  #146).
-- `global_voices` drops 114 posts republished from partner outlets. 1,926
-  documents / 3,453,918 tokens (v0.2.5: 2,040; Hub PR #66).
-- `nkjp1m` is relabelled `CC-BY-4.0` per the NKJP Consortium, with an agreed
-  `ATTRIBUTION.md`; text unchanged. 18,381 documents / 2,601,201 tokens (Hub PR
-  #51).
-- `wiktionary_examples` drops the lines quoting third-party works and is
-  relabelled per record `CC-BY-SA-3.0`, `CC-BY-SA-4.0` or both, by contribution
-  date. 1,818 documents / 207,181 tokens (v0.2.5: 8,639; Hub PR #50).
-
-Withdrawn: 5 v0.2.5 sources, removed from main and, on 2026-10-21, from every
-release tag that held them.
-
-- `european_hplt_v3_pl` (1,603,974 documents / 2,555,525,652 tokens in
-  v0.2.4 and v0.2.5) was removed by Arkadiusz Słota because its licence is
-  unverified; it will not be re-added. The registry keeps its
-  `release: "0.2.3"` entry and `make_docs.py` skips it (no stats file).
-- `wikiquote` (30,363 documents / 31,896,591 tokens in v0.2.0-v0.2.5) was
-  removed on 2026-10-05. The October rights audit labelled 158 of 200 randomly
-  sampled pages as quoting works still in copyright; CC BY-SA covers the
-  contributors' selection, not the quotes, which rest on the Art. 29 quotation
-  right. As with HPLT, the registry keeps its `release: "0.2.0"` entry (with a
-  `legal_note`) and `make_docs.py` skips it; `plwikiquote` was dropped from
-  `src/fetch_wikimedia.py`.
-- `wikisource` (632,005 documents / 801,947,427 tokens in v0.2.0-v0.2.5) was
-  removed on 2026-10-05. Every row carries one CC-BY-SA-3.0 label, but the
-  October rights audit found in-copyright post-war imprints among 12 checked
-  rows, each released by its rights holder under its own per-page licence (CC
-  BY 3.0 PL, CC BY-SA 3.0 PL, CC BY-SA 3.0, GFDL, CC BY 4.0) and needing
-  attribution the rows lack. The data came through SpeakLeash with an
-  undocumented selection and no title, author or page id, so it cannot be
-  screened. The registry keeps its `release: "0.2.0"` entry with a
-  `legal_note`, and its `traceable` text no longer claims every text is public
-  domain. A rebuild from the official dump with per-page licences is planned
-  for a later release.
-- `samorzad_gov_pl` (Dawid Majewski, Hub PR #15, rebuilt as #46; 72,771
-  documents / 41,154,506 tokens in v0.2.5) was removed on 2026-10-17 (Hub PR
-  #123). Its CC BY-SA 4.0 is declared by the platform operator (KPRM) in the
-  shared footer, but the texts are written by 247 publishing institutions. The
-  operator's agreements with them are unpublished, no grant from them was
-  found, and KPRM has not answered the question sent on 2026-10-06. Main held
-  72,328 documents / 39,890,244 tokens. The registry keeps its
-  `release: "0.2.5"` entry with a `legal_note`, and
-  `src/clean_samorzad_gov_pl.py` stays for a re-admission.
-- `1000_novels` (1,000 documents / 60,517,363 tokens in v0.2.5; released from
-  v0.2.1) was removed on 2026-10-17 (Hub PR #124). The per-text screen shows
-  each author and translator died in 1955 or earlier, but no row records the
-  edition its text follows, so a protected preface, abridgement or editor's
-  corrections cannot be ruled out. Main held 221 documents / 10,759,728
-  tokens, what was left after the rights screen (Hub PRs #49, #55) and the
-  dedup against `wolne_lektury` and `eltec_pol`. The registry keeps its
-  `release: "0.2.1"` entry with a `legal_note`, and `src/clean_1000_novels.py`
-  stays for a re-admission.
-
-Removed from main before this release, never released:
-
-- `fandom_pl` (Piotr Styła, Hub PR #48; 50,653 documents / 45,790,009 tokens
-  from 12 wikis) was removed on 2026-10-05. Fandom's Terms of Use (revision
-  2025-12-19) bar scraping, bypassing robot exclusion and AI training without
-  written consent; the pages were fetched live from the wikis' APIs on
-  2026-10-02. Samples also showed game text, lyrics and translated third-party
-  stories under the CC BY-SA label. The registry entry, builder, test and
-  ontology manifest were removed with the data.
-- `openstax_pl` (Piotr Styła, Hub PR #23; 1,422 documents / 4,632,374 tokens)
-  was removed on 2026-10-05. OpenStax Poland's live prefaces allow only
-  non-commercial reuse and bar LLM training without its written consent, and
-  its CMS lists the eight books as CC BY-NC-SA 4.0; the fetcher had hard-coded
-  CC BY 4.0. The registry entry, fetcher, test and ontology manifest were
-  removed with the data.
-- `common_voice_pl` (Piotr Styła, Hub PR #22; 45,043 documents / 994,922
-  tokens) was removed on 2026-10-05. CC0 is Common Voice's platform-level
-  label: 24,709 of the sentences come from Europarl, whose European Parliament
-  reuse notice requires source acknowledgement, which CC0 cannot carry, and the
-  Sentence Collector sentences have no recorded sources. The registry entry,
-  fetcher, contract test, ontology manifest and language audit were removed
-  with the data.
-- `uzp_orzeczenia_pl` (Piotr Styła, Hub PR #39) was removed from main on
-  2026-10-21 until v0.2.8. Main held 34,715 rulings / 420,753,012 tokens after
-  the G1 personal-data pass (Hub PR #193). That pass leaves part of the sole
-  traders' firm names and addresses unmasked, and its second round of rules
-  has not met its bar on the held-out sample. The registry keeps its
-  `release: None` entry, and `src/build_uzp_orzeczenia_pl.py`, its tests and
-  the ontology manifest stay for v0.2.8; the legitimate-interest note moves to
-  `artifacts/uzp_orzeczenia_pl_legitimate_interest.md`. All three versions of
-  the shard were then deleted from the repository's storage on 2026-10-21, so
-  downloading it at any older revision fails with HTTP 403.
-
-Documentation:
-
-- `LICENSE` now says the collection licence (CC BY-SA 4.0) covers the
-  selection, arrangement and our metadata, to the extent of our rights, and
-  that each document keeps the licence or status in its `license` field.
-- Token counts are a tiktoken (cl100k) proxy; the datasheets no longer claim a
-  Llama-3 count.
-- SpeakLeash is credited where text still comes through its redistribution
-  (`eurlex`, `wolne_lektury`, `biblioteka_nauki`), not as the source of the
-  whole collection.
-
-Tooling and process:
-
-- PII scrubbing moved out of the repo to SlayerLab/NERGAL (Hub PR #38);
-  contextual PII masking improvements (Hub PR #28).
-- Releases are tagged (Hub PR #31).
-- Source PRs are separate from releases; `src/render_sample.py` renders PR data
-  samples (Hub PR #42).
-- `build_dynaword.py` gained `preserve_id` / `preserve_created` flags (Hub PR
-  #45).
-- `src/make_docs.py` no longer renders the README from a template. It
-  refreshes the generated blocks of the hand-written README (the stable line of
-  the header, the current release's counts, the Sources and Excluded tables
-  and Results) and fails if one is missing; `src/test_make_docs.py` checks that
-  the committed README is what it renders.
-- The `v0.2.5` tag was re-pointed on 2026-09-29 from 02bcb0b to f71cc09, which
-  corrects the v0.2.5 documentation to 20 sources, and on 2026-10-01 to
-  7ae4ac7, which moves the 1000 Novels rights warning into its datasheet.
-  Every Parquet file is byte-identical between the three commits.
-- On 2026-10-21 every release tag was re-pointed to a new commit: its previous
-  target minus the data folders of the sources withdrawn from main since
-  (`wikiquote` and `wikisource` from v0.2.0, `1000_novels` from v0.2.1,
-  `european_hplt_v3_pl` from v0.2.3, `samorzad_gov_pl` from v0.2.5). Every
-  other file is byte-identical, so each tag's README and stats files still
-  describe the release as published. Previous targets: v0.2.0 0538a97, v0.2.1
-  7f60607, v0.2.2 87f5bc4, v0.2.3 79dc2b0, v0.2.4 11dcb9f, v0.2.5 7ae4ac7; each
-  tag's message records its previous target and message. The withdrawn
-  sources' LFS files (32 files, 7.78 GB, 5 of them held only by merged pull
-  requests) were then deleted from the repository's storage, so downloading
-  one at any older revision fails with HTTP 403.
-- On 2026-10-22 main's history was squashed into one commit with the same
-  tree, and the open pull requests were rebuilt on it. Commit ids from before
-  then that no release tag reaches are no longer in a clone (some stay
-  reachable only through the refs of closed pull requests); the tags
-  v0.2.0-v0.2.5 are unchanged. The ontology manifests (`target_revision`,
-  `VALIDATED_AGAINST`, `payload_uri`), the findings and the audit logs keep
-  such ids as records, as do the two `src/licence_basis_*.py` scripts, whose
-  bytes the manifests pin. The other scripts and datasheets now restore their
-  inputs from a release tag or `main`; where the input was only in main's
-  history, it predates the October 2026 rights audit and is no longer
-  published, and the pins record which files a rerun needs.
-
-## v0.2.5 (2026-08-14; tagged 2026-09-07)
-
-- The v0.2.5 release has 20 sources (the tag holds 15 since 2026-10-21; see
-  v0.2.6): `samorzad_gov_pl`, `sejm_api` and
-  `wiktionary_examples` were added in this release. `sejm_api` and
-  `wiktionary_examples` were previously documented as built but not released
-  (`release: None` in `src/sources.py`); that was a documentation error, and
-  the registry now sets `release: "0.2.5"` for both.
-- Added `sejm_api` by Piotr Styła: 38,812 parliamentary-speech documents
-  (2023 onward) / 36,335,587 cl100k-proxy tokens from the official Sejm API,
-  `public-domain (official documents)` (Hub PR #16).
-- Added `wiktionary_examples` by Katarzyna Majzel-Pośpiech: 8,639 Polish
-  Wiktionary usage-example documents / 1,115,820 cl100k-proxy tokens,
-  `CC-BY-SA-3.0` (Hub PR #14).
 - Added the community contribution `samorzad_gov_pl` by Dawid Majewski
   (`dawidmajewski`): 72,771 Polish articles / 41,154,506 cl100k-proxy tokens
   from 246 local public institutions and one central platform tenant using the
@@ -263,10 +27,8 @@ Tooling and process:
   script, contract tests, source datasheet, NOTICE and release-time license
   evidence. The live shared footer script matched the audited SHA-256
   `b36ec507901ed443195479d8d8009386159ae59d7486ce266bfb3308043e99aa`.
-- Recomputed complete-corpus totals: 4,366,651 documents and 9,676,513,980
-  cl100k-proxy tokens across 20 sources (earlier drafts of this entry gave
-  4,319,200 documents / 9,639,062,573 tokens across 18 sources, before
-  `sejm_api` and `wiktionary_examples` were counted).
+- Recomputed complete-corpus totals: 4,319,200 documents and 9,639,062,573
+  cl100k-proxy tokens across 18 sources.
 
 ## v0.2.4 (2026-08-07)
 

LICENSE

@@ -1,9 +1,5 @@
-The Polish DynaWord collection (selection, arrangement and our metadata) is
-released under Creative Commons Attribution-ShareAlike 4.0 International
-(CC BY-SA 4.0), to the extent of our rights:
-https://creativecommons.org/licenses/by-sa/4.0/
+Polish DynaWord is released under Creative Commons Attribution-ShareAlike 4.0
+International (CC-BY-SA-4.0): https://creativecommons.org/licenses/by-sa/4.0/
 
-Each document keeps the licence or status in its `license` field; the
-collection licence does not change it. Per-source licences, publication
-bases and attribution are documented in each data/<source>/<source>.md
-datasheet.
+Per-source upstream licenses and attribution are documented in each
+data/<source>/<source>.md datasheet.

NOTICE.md

@@ -1,196 +0,0 @@
-# NOTICE: official Polish sources
-
-This file covers six sources built from Polish official publications:
-`parliamentary`, `sejm_api_2011_2022`, `sejm_api`, `sejm_interpellations`,
-`sejm_committee_transcripts` and `dziennik_ustaw`. Counts,
-statistics and processing details are in each source's datasheet
-(`data/<source>/<source>.md`), not here. Other sources have their own notices in
-`data/<source>/`. The dataset-level licence, disclaimer and takedown statements are in
-the [README](README.md#license--attribution); this file does not change them.
-
-## Legal status (our assessment)
-
-We consider these texts excluded from copyright under Art. 4 of the Polish Copyright Act
-(Act of 4 February 1994, consolidated text Dz. U. 2025 poz. 24): pkt 2 for official
-documents, materials, signs and symbols, and, for the normative acts in `dziennik_ustaw`,
-also pkt 1. That is a statement of Polish law only. Their status may differ in other
-jurisdictions.
-
-The label `public-domain (official documents)` is a descriptive term for this status. It is
-not a licence. No Creative Commons public-domain mark (CC0, Public Domain Mark) is applied
-to these texts or implied by the label, and no institution below attached a Creative
-Commons licence to the texts themselves. IPI PAN's consent to the inclusion of the
-parliamentary resource in a collection tagged CC BY-SA 4.0 is described under
-`parliamentary`; it is a consent about IPI PAN's own rights. The permission on the Sejm's
-terms page is described separately below.
-
-The statement does not extend to:
-
-- third-party fragments inside the documents, for example quotations, letters from private
-  persons, standards, maps and illustrations;
-- personal data, which is a separate matter (see each datasheet's privacy section and the
-  personal-data passes it describes).
-
-This is our assessment, not legal advice.
-
-## Reuse framework
-
-The Polish Open Data and Reuse of PSI Act (Dz. U. 2023 poz. 1524) is cited as the framework
-for reusing the institutions' own public-sector information (arts. 2(12), 5, 6, 14, 15, 17).
-It is not cited as a basis for reusing third-party works that appear in that information;
-the Act itself leaves material in which other parties hold copyright outside its scope
-(art. 6). Art. 15 ust. 1 lists the conditions an institution may attach to reuse; in our
-reading a bar on commercial use is not among them.
-
-## Sejm sources and the System Informacyjny Sejmu
-
-Applies to `sejm_api`, `sejm_api_2011_2022`, `sejm_interpellations` and
-`sejm_committee_transcripts`. As a precaution we also give the credit for the Sejm material
-in `parliamentary` and for `dziennik_ustaw`, where it is not clear that the note applies;
-see those entries below.
-
-**Source note.** The terms page of the Sejm's information system (System Informacyjny
-Sejmu, SIS) asks that material taken from www.sejm.gov.pl carry a note naming its source, and
-gives the source as "System Informacyjny Sejmu". The Regulamin Sejmu places committee
-transcripts and interpellations, replies and written questions in SIS. We do not know whether
-output served by api.sejm.gov.pl is part of SIS: the API states no terms of its own, and the
-SIS terms page ends with a link to it ("API dla systemów sejmowych") without saying that its
-terms cover the API. As a precaution we give the requested credit:
-
-> Źródło: System Informacyjny Sejmu (Kancelaria Sejmu RP)
-
-**Terms page, read 2026-10-19.** The page allows free use of SIS material with limits. One of
-them is the source note above. Another is a clause that SIS material, in particular live
-streams and archive material produced by iTV Sejm, "nie mogą być elementem komercyjnej oferty
-żadnej agencji, stacji telewizyjnej, portalu ani innego podmiotu". We report the clause for
-information. We do not offer it as a licence term of this dataset. We have not verified whether
-it reaches the text sources here or binds a re-user; users who plan a commercial use should read
-the page and decide for themselves. The page also says that clubs, circles, teams and MPs
-answer for their own pages; we did not take material from those pages.
-
-Archive: a verbatim copy of the terms block, with its date and SHA-256
-(`cb4d21a44f5b09d50cdf95518aad77632b2750b5df6535c1d8aa894152b80469`), is kept as
-`evidence/sis_copyright_2026-10-19.md` (and its `.content.html` and `.meta.json`) in
-[polish-dynaword-v2](https://github.com/slayerlabs/polish-dynaword-v2/pull/121). The page's
-URL is https://www.sejm.gov.pl/Sejm10.nsf/page.xsp/copyright. An earlier capture of the same
-page by the Internet Archive, 2026-06-03, carries the same source note and clause:
-http://web.archive.org/web/20260603115729/https://sejm.gov.pl/Sejm10.nsf/page.xsp/copyright
-
-## Sources
-
-Dates are those we can document. "Acquired" means the date the text was fetched from the
-upstream service, when known; a date in the registry (`added`) is when the shard was added
-here and is not an acquisition date.
-
-### parliamentary
-
-- **Upstream chain:** the Chancelleries of the Sejm and the Senate (stenographic reports,
-  committee transcripts, interpellations), then the Polish Parliamentary Corpus (PPC) of IPI
-  PAN, then this shard.
-- **Route:** the per-term TEI dump of 2025-05-21, downloaded directly from IPI PAN's server
-  (`https://kdp.ipipan.waw.pl/static/ppcdump-tei/<term>-tei.zip`; 28 zips, 26,409,547,075
-  bytes) and pinned by size and SHA-256 in `src/fetch_parliamentary.py`. Nothing was fetched
-  from the Chancelleries' own sites. The shard shipped up to v0.2.5 came from SpeakLeash's
-  `PPC_corpus` instead; the datasheet describes the difference.
-- **Acquired:** 2026-10-07 (the TEI dump).
-- **Terms:** the only rights statement we found is IPI PAN's on its PPC page: "The
-  parliamentary data is public domain." It is a redistributor's statement, not the
-  institutions'. We read the page on 2026-10-18 and archived it in polish-dynaword-v2 (pull
-  request 120). We record the sentence as provenance, not as our legal basis.
-- **IPI PAN's confirmation, 2026-10-19:** by email, IPI PAN confirmed that its statement also
-  covers its right as producer of the database, and agreed to the resource's inclusion in this
-  collection under the collection's CC BY-SA 4.0 tag. That is IPI PAN's consent about its own
-  rights and about the collection-level tag; it does not give the texts a licence and does not
-  speak for the Sejm or the Senate. The reply is archived as
-  `evidence/ipipan_reply_2026-10-19.md` in polish-dynaword-v2. IPI PAN also confirmed the
-  citation (Ogrodniczuk 2018) as correct for now and said a book on the corpus is in
-  preparation, so the preferred citation may change.
-- **Credit:** IPI PAN; the speaker turns, speaker ids, roles and dates this source is cut and
-  filtered by come from IPI PAN's TEI markup. PPC's CC BY licence covers its annotations; none
-  of the annotation layers is shipped. Cite Maciej Ogrodniczuk (2018), "Polish Parliamentary
-  Corpus", Proceedings of the LREC 2018 Workshop ParlaCLARIN.
-- **SIS credit:** Źródło: System Informacyjny Sejmu (Kancelaria Sejmu RP), for the Sejm
-  material in this source. We give it as a precaution: the source is a copy from IPI PAN's
-  server, not from the Sejm's system, and whether the note applies is open. It does not
-  cover the Senate material.
-
-### sejm_api_2011_2022 and sejm_api
-
-- **Upstream:** API Sejmu, https://api.sejm.gov.pl/ (Kancelaria Sejmu RP): speeches in plenary
-  sittings, 2011-2022 (`sejm_api_2011_2022`) and from 2023 (`sejm_api`).
-- **Terms:** api.sejm.gov.pl states no licence or terms of use; no disclaimer was found. See
-  the SIS section above.
-- **Route:** the API, then Piotr Styła's corpus on the Hub,
-  `PiotrSty/sejm-speeches-corpus@v1.0.1` (commit `124557799608ce4212cf22fa90ca7904618de1b6`),
-  then these shards. We did not re-fetch the text from the API. The snapshot is a
-  contributor's copy: its compiler may hold a database right of his own in it, and this
-  file does not rely on one being waived or licensed.
-- **Acquired:** not recorded in the snapshot's metadata that we hold. `sejm_api` was added on
-  2026-08-22 and `sejm_api_2011_2022` on 2026-08-31.
-- **Credit:** Kancelaria Sejmu RP, SIS (above); compiled by Piotr Styła. The speaker and the
-  day-level API URL of each record are in `<source>.attribution.jsonl`.
-- **Not implied:** endorsement by the Kancelaria Sejmu RP.
-
-### sejm_interpellations
-
-- **Release:** on main, not in v0.2.6; planned for v0.2.7.
-- **Upstream:** API Sejmu, https://api.sejm.gov.pl/ (Kancelaria Sejmu RP): interpellations,
-  written questions and the replies served as HTML, 10th term. Replies are written by
-  ministries and other bodies, not by the Kancelaria.
-- **Terms:** none at the API; no disclaimer found. See the SIS section above.
-- **Route:** the API directly, with `src/fetch_sejm_interpellations.py` (`/body` endpoints).
-  No intermediary; this repository names no copy of the data held by a third party.
-- **Acquired:** the fetch date is not recorded. The raw output file
-  `~/speakleash/sejm_interpellations.jsonl.zst` (26,503 lines, SHA-256
-  `cc06156352220b653cdab20a694560bb1e9e958af576526395ffcf10d7c14a09`) has the file time
-  2026-09-05 19:42 CEST and the latest record is dated 2026-09-03, so the fetch ended
-  between those days. The registry's `added` date, 2026-09-05, is not an acquisition date. The
-  raw file is not in this repository.
-- **Credit:** Kancelaria Sejmu RP, SIS (above). Each row's source URL, number, kind and date
-  are in the shard's attribution sidecar (see the datasheet).
-- **Not implied:** endorsement by the Kancelaria Sejmu RP or the ministries.
-
-### sejm_committee_transcripts
-
-- **Upstream:** API Sejmu, https://api.sejm.gov.pl/ (Kancelaria Sejmu RP): full transcripts
-  ("pełny zapis przebiegu posiedzenia") of committee sittings, terms 9-10, as PDFs
-  (`/sejm/term{n}/committees/{code}/sittings/{num}/pdf`).
-- **Terms:** none at the API; no disclaimer found. See the SIS section above.
-- **Route:** the API, with `src/fetch_sejm_committee_transcripts.py`, assembled from the
-  contributor's pipeline `PiotrSty/sejm-committee-transcripts` at commit `9efc4e2`; text with
-  `pdftotext -layout`. The script downloads the PDFs from the API; this repository names no
-  intermediary copy of the data and does not record who ran the download. The shard was
-  re-cut and re-filtered from the stored pre-filter release (Hub PR 37), because the PDF
-  cache is not kept.
-- **Acquired:** no exact download date is recorded. The latest sitting is dated 2026-09-03
-  and the pre-filter release reached the Hub on 2026-09-29, so the download falls between
-  those dates. The registry's `added` date, 2026-09-18, is not an acquisition date.
-- **Credit:** Kancelaria Sejmu RP, SIS (above). Each record's source PDF endpoint and the
-  sitting's `content_sha1` are in `sejm_committee_transcripts.attribution.jsonl`.
-- **Not implied:** endorsement by the Kancelaria Sejmu RP.
-
-### dziennik_ustaw
-
-- **Upstream:** ELI interface of the Kancelaria Sejmu, https://api.sejm.gov.pl/eli/acts, which
-  serves the texts of acts published in Dziennik Ustaw (Journal of Laws).
-- **Terms:** the ELI documentation (`/eli.html`) states no licence or terms of use; no
-  disclaimer was found. The texts are normative acts and other official documents (Art. 4
-  pkt 1 and 2, above).
-- **Contents:** Dziennik Ustaw only. Monitor Polski is not included. The datasheet gives the
-  measured scope: statutes, regulations, announcements (mostly consolidated texts), rulings
-  of the Constitutional Tribunal, government statements on international agreements, treaties
-  and their foreign-language texts, and three EU Council decisions. Foreign-language texts,
-  such as treaty appendices, are part of the official publication; their status under foreign
-  law is outside the statement above.
-- **Route:** the ELI API directly, with `src/fetch_eli.py` (HTML text of each act). No
-  intermediary.
-- **Acquired:** not recorded. The shard was added on 2026-06-15.
-- **Credit:** Dziennik Ustaw; Kancelaria Sejmu RP for the ELI interface. As a precaution
-  we also give the System Informacyjny Sejmu note, "Źródło: System Informacyjny Sejmu
-  (Kancelaria Sejmu RP)". The terms page does not mention the ELI interface, so whether the
-  note applies is open.
-
-## Takedown and contact
-
-Material is removed on a substantiated request, as described in the README and in
-[takedown/PROCEDURE.md](takedown/PROCEDURE.md).

PAPER.md

@@ -0,0 +1,240 @@
+# Polish DynaWord: An Openly-Licensed, Traceable, Continuously-Developed Pretraining Corpus for Polish
+
+**Kacper Wikieł**
+SlayerLab · `k.wikiel@gmail.com`
+
+---
+
+## Abstract
+
+We present **Polish DynaWord**, an openly-licensed, human-authored text corpus for
+Polish, built as a Polish edition of the *Dynaword* family (Enevoldsen et al.,
+2025, arXiv:2508.02271). The corpus follows four principles inherited from
+Dynaword — **open and traceable licensing, reproducibility, per-source
+documentation, and versioned extensibility** — and explicitly treats *curation*,
+not raw text collection, as its contribution. Version 0.2.0 comprises **2,490,773
+documents and ≈6.22 billion tokens** (tiktoken `cl100k` proxy) drawn from eleven
+openly-licensed Polish sources, each vetted for a *documented* legal basis rather
+than a vague "public domain" claim. Five sources are openly-licensed corpora
+redistributed via SpeakLeash; the remaining six are fetched *directly* from
+upstream — Polish primary legislation (Dziennik Ustaw / Monitor Polski) via the
+Sejm ELI API, four Wikimedia sibling projects (Wikinews, Wikivoyage, Wikibooks,
+Wikiquote) via the official dumps, and the ELTeC-pol literary collection via
+GitHub — each with full per-document provenance. Beyond scale, this broadens the
+*register* coverage from encyclopedic/legal/literary-classic text toward
+news, travel, instructional and quotation prose. We report the construction
+pipeline, the per-source legal review (including the sources we deliberately
+*exclude* and why), and the dataset statistics. The corpus exceeds the 4.8B-token
+Danish Dynaword in scale while maintaining a comparably conservative licensing
+posture.
+
+---
+
+## 1. Introduction
+
+Large-language-model pretraining for languages other than English is constrained
+less by modeling technique than by the availability of **legally clean** text.
+Many widely-used corpora are assembled from web crawls of uncertain provenance,
+mixing public-domain works, openly-licensed material, and in-copyright content
+without per-document accounting. The *Dynaword* project (Enevoldsen et al., 2025)
+proposed an alternative: a continuously-developed corpus where every source is
+*openly licensed* and that license is *traceable* to a documented legal basis,
+with the whole pipeline reproducible and each source individually documented as a
+datasheet (Gebru et al., 2021).
+
+Polish is comparatively well-served for raw text — the SpeakLeash project has
+aggregated 800+ Polish datasets — but most of that material carries "conditional"
+licensing (web-crawl or non-commercial terms) that is unsuitable for an
+openly-licensed release. **Polish DynaWord** addresses this gap. Its contribution
+is not the collection of new text but the *curation*: a per-source license
+review, a uniform minimal-filtering pipeline, transparent documentation of both
+included and excluded sources, and a reproducible build.
+
+## 2. Related work
+
+**Dynaword and the Danish lineage.** Polish DynaWord directly adapts the Danish
+Dynaword (Enevoldsen et al., 2025), itself a successor to the Danish Gigaword
+project. A key lesson carried over is the treatment of *derivative* content: the
+Danish effort excluded OpenSubtitles because subtitle text is a derivative work of
+copyrighted film/TV dialogue. We apply the same reasoning (§6).
+
+**SpeakLeash / Bielik.** SpeakLeash is the principal open aggregator of Polish
+text and the redistribution channel for most of our included sources. We use
+SpeakLeash as an *intermediate aggregator* and preserve upstream
+license/attribution; SpeakLeash is credited accordingly. Crucially, SpeakLeash's
+redistribution does not itself confer a license — the right to redistribute flows
+from each source's upstream license, which we document per source.
+
+**Datasheets for Datasets.** Following Gebru et al. (2021), each source ships a
+datasheet recording provenance, licensing basis, domain, time range, and the
+filters applied.
+
+## 3. Design principles
+
+1. **Open & traceable licensing.** Every source must be openly licensed *and*
+   carry a documented legal basis (statutory exemption or explicit upstream
+   license), not an unexplained "public domain" assertion.
+2. **Reproducibility.** A single command rebuilds the corpus from source archives
+   (`src/build_dynaword.py`).
+3. **Documented.** One datasheet per source; aggregate statistics in the dataset
+   card.
+4. **Extensibility.** Versioned; new sources and removals are tracked in a
+   changelog, and sources can be added via native fetchers (§8).
+
+## 4. Sources and licensing
+
+Version 0.2.0 includes eleven sources. For each we record the upstream origin and
+the *traceable basis* for its license.
+
+| Source | Domain | License | Traceable basis |
+|---|---|---|---|
+| Polish Wikipedia | encyclopedic | CC-BY-SA-3.0 | Wikimedia dumps released under CC-BY-SA 3.0; attribution + share-alike preserved |
+| Polish Wikisource | source texts | CC-BY-SA-3.0 | Wikimedia dumps; underlying works public-domain, community-transcribed |
+| EUR-Lex (PL) | EU legislation | CC-BY-4.0 | Commission Decision 2011/833/EU; normative acts outside copyright (PL art. 4 *pr. aut.*) |
+| Polish Parliamentary Corpus (Sejm/Senat) | political/spoken | public-domain / CC-BY-4.0 | Official documents outside copyright (PL art. 4 *pr. aut.*); redistributed by IPI PAN |
+| Wolne Lektury | literature | CC-BY-SA-4.0 / Wolna Sztuka 1.3 | Published under CC-BY-SA 4.0 or Free Art License; PD classics + cleared works |
+| Polish Wikinews | news | CC-BY-2.5 | Wikinews released under CC-BY 2.5; attribution preserved |
+| Polish Wikivoyage | travel | CC-BY-SA-3.0 | Wikivoyage released under CC-BY-SA 3.0 |
+| Polish Wikibooks | instructional | CC-BY-SA-3.0 | Wikibooks released under CC-BY-SA 3.0 |
+| Polish Wikiquote | quotations | CC-BY-SA-3.0 | Wikiquote released under CC-BY-SA 3.0 |
+| ELTeC-pol | literature (1840–1920) | CC-BY-4.0 | COST Action CA16204 release under CC-BY 4.0 |
+| Dziennik Ustaw + Monitor Polski | national legislation | public-domain (CC0) | Normative acts not subject to copyright (PL art. 4 *pr. aut.*); fetched directly from the Sejm ELI API |
+
+Because two included sources (Wikipedia/Wikisource, Wolne Lektury) are
+share-alike, the **aggregate corpus is released under CC-BY-SA-4.0**, with
+attribution due to each upstream source and to SpeakLeash as the aggregator.
+
+## 5. Construction methodology
+
+**Provenance.** Source archives are obtained from SpeakLeash's public
+redistribution bucket (`speakleash-ds-pub`) in `jsonl.zst` form. The build streams
+each archive, applies gates, and writes one Parquet file per source.
+
+**Filters (intentionally minimal).** Consistent with Dynaword guidelines, heavy
+quality filtering and mixture-weighting are deferred to downstream training; the
+build applies only:
+
+- drop documents shorter than 200 characters;
+- drop non-Polish text (diacritic-to-letter ratio threshold);
+- exact cross-source deduplication (SHA-1 over normalized text), with earlier
+  sources winning duplicates;
+- for OCR-bearing sources, an alpha-character-ratio gate against OCR garble.
+
+**Schema.** Every document is stored as
+`(id, text, source, added, created, token_count)`. Token counts are a fast
+tiktoken `cl100k` proxy (within ≈1% of a Llama-3 tokenizer); a canonical Llama-3
+recount is planned for a tagged release.
+
+## 6. Statistics
+
+| Source | Documents | Characters | Tokens (proxy) |
+|---|---:|---:|---:|
+| Polish Wikipedia | 1,171,897 | 1.85 B | 707.2 M |
+| Polish Wikisource | 632,005 | 1.97 B | 801.9 M |
+| EUR-Lex (PL) | 243,060 | 5.98 B | 2,378.1 M |
+| Polish Parliamentary Corpus | 324,622 | 4.49 B | 1,646.8 M |
+| Wolne Lektury | 6,141 | 0.26 B | 103.0 M |
+| Polish Wikinews | 24,386 | 0.03 B | 12.1 M |
+| Polish Wikivoyage | 13,645 | 0.05 B | 17.1 M |
+| Polish Wikibooks | 9,112 | 0.04 B | 15.6 M |
+| Polish Wikiquote | 30,363 | 0.08 B | 31.9 M |
+| ELTeC-pol | 100 | 0.05 B | 21.5 M |
+| Dziennik Ustaw + Monitor Polski | 35,442 | 1.23 B | 486.1 M |
+| **Total (v0.2.0)** | **2,490,773** | **16.0 B** | **6.22 B** |
+
+For comparison, the Danish Dynaword reports ≈4.8 B tokens; Polish DynaWord v0.2.0
+is larger while remaining within a strictly openly-licensed source set. The full
+build completes in ≈4 minutes on 14 CPU cores. The five sources added in v0.2.0
+contribute modest volume (≈98 M tokens) but broaden register coverage — news,
+travel, instructional, quotation and modern literary prose — addressing the
+encyclopedic/legal skew of the earlier versions.
+
+## 7. Excluded sources (curation as contribution)
+
+Transparency about what is *left out* is part of the editorial contribution. Each
+exclusion records a stated legal reason:
+
+- **OpenSubtitles (PL)** — subtitle text is a derivative work of copyrighted
+  film/TV dialogue and largely unlicensed; excluded on the Danish Gigaword
+  precedent.
+- **Europeana (PL)** — an aggregation of items with *mixed per-record rights*
+  (PD / CC-BY-NC / rights-reserved). The SpeakLeash redistribution does not carry
+  the `edm:rights` field, so per-record filtering is impossible without external
+  enrichment; excluded pending that work (≈203k docs / ≈5.2B tokens forgone).
+- **1000 Novels (CLARIN-PL)** — labelled CC-BY-4.0, but the collection likely
+  includes in-copyright contemporary works; excluded pending per-title verification.
+- **Project Gutenberg (PL)** — only 31 Polish books (4.3 MB), near-redundant with
+  Wikisource/Wolne Lektury, and claiming public domain *in the US only*; dropped
+  to avoid a per-work PD-in-EU check for negligible token gain.
+
+## 8. Native sources fetched directly from upstream
+
+Beyond the SpeakLeash-redistributed corpora, six sources are fetched *directly*
+from their publishers. Direct sourcing strengthens provenance (each document
+records its upstream URL/identifier), keeps the data fresh, and distinguishes the
+corpus from a mirror of any single aggregator. Each is implemented as a small,
+reproducible fetcher under `src/`.
+
+**Polish primary legislation** (`src/fetch_eli.py`). We fetch **Dziennik Ustaw**
+and **Monitor Polski** from the Sejm ELI API (`api.sejm.gov.pl/eli/acts`),
+retrieving each act's HTML and converting it to plain text. For v0.2.0 we include
+acts marked in force over 1990–2025: **35,442 documents (≈486 M tokens)**.
+Normative acts and their official drafts are **not subject to copyright** under
+Polish law (art. 4 of the Act on Copyright and Related Rights). This adds Polish
+*national* law, complementing the EU law present via EUR-Lex.
+
+**Wikimedia sibling projects** (`src/fetch_wikimedia.py`). We fetch the Polish
+**Wikinews**, **Wikivoyage**, **Wikibooks** and **Wikiquote** from the official
+Wikimedia dumps, keeping mainspace pages and stripping wikitext to plain text with
+`mwparserfromhell`. These contribute the **news, travel, instructional and
+quotation** registers (≈77 k documents, ≈77 M tokens combined) under CC-BY /
+CC-BY-SA, compatible with the aggregate license.
+
+**ELTeC-pol** (`src/fetch_eltec.py`). We fetch the Polish part of the European
+Literary Text Collection (COST Action CA16204) from GitHub — **100 novels**
+(1840–1920, ≈21.5 M tokens) released CC-BY-4.0 — adding modern narrative literary
+prose distinct from the older texts in Wikisource and Wolne Lektury.
+
+## 9. Ethics, licensing and limitations
+
+**Personal data.** The corpus contains only text its sources already published
+openly or as official record; it therefore includes names and statements of
+public figures acting in a public capacity (parliamentary speakers, authorities
+named in legislation, people described in encyclopedic articles). No private,
+non-public personal data is collected. A notice-and-takedown procedure allows
+data subjects and rightsholders to request removal from subsequent versions.
+
+**License compliance.** The release is CC-BY-SA-4.0; downstream users must satisfy
+attribution and share-alike obligations for derivatives, and attribute the
+upstream sources and SpeakLeash. Per-source licenses are reproduced in good faith
+as documented by upstream and by SpeakLeash; we make no independent legal warranty
+about any individual document's copyright status.
+
+**Limitations.** (i) Token counts are a tiktoken proxy pending a canonical Llama-3
+recount. (ii) Evaluation-set decontamination (n-gram overlap against Polish
+benchmarks) is *not yet applied* and is required before the corpus is used to
+train models reported on those benchmarks. (iii) Deduplication is exact-match
+only; near-duplicate removal is left to downstream use. (iv) Gutenberg-style
+PD-in-EU edge cases are handled by exclusion rather than per-work adjudication.
+
+## 10. Availability
+
+The dataset, per-source datasheets, build/fetch code, and documentation are
+released at `huggingface.co/datasets/SlayerLab/polish-dynaword` (CC-BY-SA-4.0).
+The corpus is versioned; this paper describes v0.2.0.
+
+## References
+
+- Enevoldsen, K. et al. (2025). *Dynaword: A Continuously Developed, Openly
+  Licensed Corpus.* arXiv:2508.02271.
+- Gebru, T. et al. (2021). *Datasheets for Datasets.* Communications of the ACM.
+- SpeakLeash / Bielik project. *Open Polish text datasets.* speakleash.org.
+- Strømberg-Derczynski, L. et al. (2021). *The Danish Gigaword Corpus.* NoDaLiDa.
+- Sejm RP. *ELI API — Internetowy System Aktów Prawnych.* api.sejm.gov.pl/eli.
+- Ustawa z dnia 4 lutego 1994 r. o prawie autorskim i prawach pokrewnych, art. 4.
+
+---
+
+*Draft — generated alongside the v0.2.0 corpus release. Numbers reflect the
+eleven-source build (five SpeakLeash-redistributed + six fetched directly from
+upstream). Evaluation-set decontamination (§9) is still pending.*

README.md

@@ -11,33 +11,21 @@ tags:
 - polish
 - pretraining
 - dynaword
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/*/*.parquet
 ---
 
 # Polish DynaWord
 
-A continuously developed corpus of human-written Polish text, **openly licensed
-or official**, a Polish edition in the [Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword)
+A continuously developed, **openly-licensed**, human-text Polish corpus — a Polish
+edition in the [Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword)
 family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271)).
 
-> **v0.2.6 stable** · 3,394,876 documents · **7.04B tokens**
-> (tiktoken proxy) · 27 sources
-> Updated: **2026-10-22**. v0.2.6 ships before the NERGAL personal-data pass;
-> the pass runs on every source before v0.2.7
-> ([Personal & sensitive data](#personal--sensitive-data)).
-
-> **main, not a release (2026-10-22)** · 29 sources · 3,420,833 documents ·
-> **7.07B tokens**: the 27 v0.2.6 sources plus `sejm_interpellations` and
-> `kultura_bez_barier_pl` ([On main, not in v0.2.6](#on-main-not-in-v026)).
-> Cite the `v0.2.6` tag, not main.
+> **v0.2.5 stable** · 4,319,200 documents · **9.64B tokens**
+> (tiktoken proxy; canonical Llama-3 count at release) · 18 sources
+> Updated: **2026-08-14**
 
 > **v0.3-dev experimental track** · quality/diversity workflow, source-gate
 > validation and candidate-data audits. This is development work, not a released
-> corpus version, and it does not replace the v0.2.6 stable parquets.
+> corpus version, and it does not replace the v0.2.5 stable parquets.
 
 > **Europeana validation artifact (2026-07-10)** · a separate reproducible
 > 810-document direct-ingestion sample stored under the legacy path
@@ -49,33 +37,13 @@ family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271))
 
 | version | status | documents | tokens | notes |
 |---|---|---:|---:|---|
-| `v0.2.6` | stable release | 3,394,876 | 7.04B | Adds 12 sources and withdraws five; the 15 v0.2.5 sources it keeps are relabelled, filtered or rebuilt. Ships before the NERGAL personal-data pass. |
-| `v0.2.5` | previous stable | 4,366,651 | 9.68B | Adds community-contributed `samorzad_gov_pl` (institution-level author attribution and a URL-bearing attribution sidecar), `sejm_api` and `wiktionary_examples`. |
+| `v0.2.5` | stable release | 4,319,200 | 9.64B | Adds community-contributed `samorzad_gov_pl` with institution-level author attribution and a URL-bearing attribution sidecar. |
 | `v0.2.4` | previous stable | 4,246,429 | 9.60B | Expanded `european_hplt_v3_pl` to WDS bins 10-5 (+1.49M docs / 2.04B tok); phone PII-scrub hardening (independent dual-lens) + cross-source dedup (zero-overlap). |
 | `v0.2.3` | previous stable | 2,710,974 | 6.88B | Adds community-contributed `european_hplt_v3_pl`, `global_voices` and `nkjp1m`. |
 | `v0.2.2` | previous stable | 2,579,963 | 6.36B | Added community-contributed `govpl`: 88,190 docs / 80.7M tokens. |
 | `v0.2.1` | previous stable | 2,491,773 | 6.28B | 12-source corpus with `license` and `author` metadata columns; added `1000_novels`. |
 | `v0.2.0` | previous stable | 2,490,773 | 6.22B | Provenance-first corpus from 11 open/official sources. |
 
-The figures above are the releases as published. On 2026-10-21 each tag up to
-`v0.2.5` was re-pointed to its release commit minus the sources withdrawn from
-main since, so `revision="v0.2.x"` now loads:
-
-| tag | documents | tokens | sources | removed from the tag |
-|---|---:|---:|---:|---|
-| `v0.2.5` | 2,026,538 | 6.19B | 15 | `european_hplt_v3_pl`, `wikiquote`, `wikisource`, `1000_novels`, `samorzad_gov_pl` |
-| `v0.2.4` | 1,979,087 | 6.15B | 13 | `european_hplt_v3_pl`, `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.3` | 1,937,016 | 5.47B | 12 | `european_hplt_v3_pl`, `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.2` | 1,916,595 | 5.47B | 10 | `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.1` | 1,828,405 | 5.39B | 9 | `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.0` | 1,828,405 | 5.39B | 9 | `wikiquote`, `wikisource` |
-
-Every other file in a tag is unchanged, so its README and stats files still
-describe the release as published; each tag's message records its previous
-target. The withdrawn sources' data files were then deleted from the
-repository's storage, so downloading one at any older revision fails with
-HTTP 403.
-
 ![Stable dataset size by version](artifacts/dataset_size_by_version.png)
 
 ### Development and validation artifacts
@@ -87,50 +55,13 @@ HTTP 403.
 
 ### Version details
 
-#### v0.2.6 — current stable
-
-**27 sources, 3,394,876 documents / 7,036,938,603 cl100k-proxy tokens:**
-
-- adds 12 sources, 1,097,821 documents / 637,130,408 tokens:
-  `plwiki_user_talk`, `sejm_committee_transcripts`, `plwiki_talk`, `ted_pl`,
-  `sejm_api_2011_2022`, `nonsa`, `studia_bas`, `wiadomosci_statystyczne_pl`,
-  `rock_pollub_pl`, `edukacja_medialna_pl`, `open_agh_chemistry_pl` and
-  `open_icm_pl`;
-- keeps 15 of the 20 v0.2.5 sources, 2,297,055 documents / 6,399,808,195
-  tokens, each relabelled, filtered or rebuilt
-  ([Changes since v0.2.5](#changes-since-v025));
-- withdraws five v0.2.5 sources: `european_hplt_v3_pl`, `wikisource`,
-  `1000_novels`, `samorzad_gov_pl` and `wikiquote`
-  ([Withdrawn since v0.2.5](#withdrawn-since-v025));
-- leaves out `sejm_interpellations` and `kultura_bez_barier_pl`, which are on
-  main ([On main, not in v0.2.6](#on-main-not-in-v026)).
-
-v0.2.6 ships before the NERGAL personal-data pass. Only each source's own
-filters apply (see its datasheet); the pass runs on every source before v0.2.7.
-
-#### v0.2.5 — previous stable
-
-Added three sources, bringing the complete release to **20 sources,
-4,366,651 documents / 9,676,513,980 cl100k-proxy tokens**:
-
-- `samorzad_gov_pl`: **72,771 documents / 41,154,506 cl100k-proxy
-  tokens** from 246 Polish local public institutions and one central platform
-  tenant. The contribution preserves the publishing institution as `author`,
-  discovered and fetched article URLs in an attribution sidecar and the verified
-  platform-wide CC-BY-SA-4.0 basis.
-- `sejm_api`: **38,812 documents / 36,335,587 cl100k-proxy tokens** of
-  parliamentary speeches (2023 onward) from the official Sejm API,
-  `public-domain (official documents)`
-  ([PR #16](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/16)).
-- `wiktionary_examples`: **8,639 documents / 1,115,820 cl100k-proxy tokens**
-  of Polish Wiktionary usage examples, one document per headword,
-  `CC-BY-SA-3.0`
-  ([PR #14](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/14)).
-
-Documentation correction: the v0.2.5 release has all 20 sources (since
-2026-10-21 the tag holds 15 of them; see the table above). Earlier
-copies of this card counted only 18 (4,319,200 documents / 9,639,062,573
-tokens) and listed `sejm_api` and `wiktionary_examples` as not released.
+#### v0.2.5 — current stable
+
+Added `samorzad_gov_pl`: **72,771 documents / 41,154,506 cl100k-proxy
+tokens** from 246 Polish local public institutions and one central platform
+tenant. The contribution preserves the publishing institution as `author`,
+discovered and fetched article URLs in an attribution sidecar and the verified
+platform-wide CC-BY-SA-4.0 basis.
 
 #### v0.2.4 — previous stable
 
@@ -188,16 +119,14 @@ rights and creator metadata. It does not change stable-release totals.
 `v0.3.1-preview` remains only as the legacy storage-path label.
 
 ## What this dataset contributes
-The raw texts come from upstream publishers, official sources and existing open
-corpora; `eurlex`, `wolne_lektury` and `biblioteka_nauki` come from SpeakLeash's
-redistribution. **The value added here is the curation, not the bytes**,
-following the Dynaword methodology:
-
-1. **License review per source** — each source vetted for a *traceable* legal
-   basis (a licence, the public domain or official-document status, documented
-   in its datasheet); sources that fail the review are **excluded with a stated
-   reason** (see table below), not silently kept. This is the core editorial
-   work.
+The raw texts come from existing open corpora (redistributed via SpeakLeash and,
+where applicable, fetched from upstream). **The value added here is the curation,
+not the bytes**, following the Dynaword methodology:
+
+1. **License review per source** — each source vetted for an *openly-licensed,
+   traceable* legal basis (documented in its datasheet); sources that fail the
+   review are **excluded with a stated reason** (see table below), not silently
+   kept. This is the core editorial work.
 2. **Filtering & normalization** — minimal, reproducible gates (short-doc,
    non-Polish, exact cross-source dedup, OCR garble) applied uniformly to one
    clean schema: `id, text, source, added, created, token_count, license, author`.
@@ -206,10 +135,9 @@ following the Dynaword methodology:
 4. **Reproducibility & versioning** — `src/` rebuilds the corpus from sources;
    new sources and removals are tracked in the CHANGELOG.
 
-Credit for the underlying texts belongs to their authors and upstream sources,
-and to SpeakLeash as the redistributor of `eurlex`, `wolne_lektury` and
-`biblioteka_nauki`; this release does not claim ownership of them (see
-Disclaimer).
+Credit for the underlying texts belongs to the upstream sources and to SpeakLeash
+as the redistributing aggregator; this release does not claim ownership of them
+(see Disclaimer).
 
 ## Contributors
 
@@ -217,22 +145,18 @@ Disclaimer).
 |---|---|---|
 | [Kacper Wikieł](https://huggingface.co/kacperwikiel) | Project maintainer; corpus curation, source and license review, release engineering, documentation, validation and reproducible build workflow. | all releases |
 | [Bart Kobyliński](https://huggingface.co/bartoszkobylinski1) | Added `1000_novels`; expanded Biblioteka Nauki and Europeana ingestion with per-document license and author metadata. | `v0.2.1`, [PR #1](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/1) |
-| [Paweł Puzio](https://huggingface.co/ppuzio) | Built `govpl`: subsite discovery, direct ingestion pipeline, dataset artifact, contract tests and documentation. Added `sejm_interpellations` (on main, not yet released); contributor guidance, PII scrubbing and its move to SlayerLab/NERGAL; registry-driven release totals, release tags and the source-PR/release split. | `v0.2.2`, [PR #9](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/9); [#17](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/17), [#20](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/20), [#24](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/24), [#28](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/28)–[#31](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/31), [#38](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/38), [#42](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/42) |
+| [Paweł Puzio](https://huggingface.co/ppuzio) | Built `govpl`: subsite discovery, direct ingestion pipeline, dataset artifact, contract tests and documentation. | `v0.2.2`, [PR #9](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/9) |
 | [Arkadiusz Słota](https://huggingface.co/Maggio33) | Built & expanded `european_hplt_v3_pl`: HPLT v3 WDS 10+9 (PR #5) then WDS 10-5 expansion (+1,493,384 docs / 2.04B tok), modular cleaning pipeline, phone-recall PII-scrub (v12b, independent dual-lens), cross-source dedup-vs-base (zero-overlap), validation and documentation. | `v0.2.3` (PR #5), `v0.2.4` |
-| [Dawid Majewski](https://huggingface.co/dawidmajewski) | Added the reviewed Global Voices Polish corpus; built `samorzad_gov_pl` with direct acquisition, institution attribution, licensing evidence, release artifact and reproducible conversion; prepared its de-identified upstream v0.2. | `v0.2.3`, [PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7); `v0.2.5`, [PR #13](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/13); [PR #15](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/15) (merged via [#46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46)) |
+| [Dawid Majewski](https://huggingface.co/dawidmajewski) | Added the reviewed Global Voices Polish corpus; built `samorzad_gov_pl` with direct acquisition, institution attribution, licensing evidence, release artifact and reproducible conversion. | `v0.2.3`, [PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7); `v0.2.5` |
 | [1am](https://huggingface.co/1am) | Added `nkjp1m`: the manually annotated 1-million-word NKJP subcorpus, direct fetch/build pipeline, source documentation and release artifact. | `v0.2.3`, [PR #8](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/8) |
-| [Piotr Styła](https://huggingface.co/PiotrSty) | Corpus preparation and contribution of `sejm_api`: parliamentary speeches from the official Sejm API with speaker attribution and immutable `PiotrSty/sejm-speeches-corpus` v1.0.1 provenance. Added 11 sources released in v0.2.6 (`sejm_api_2011_2022`, `open_agh_chemistry_pl`, `edukacja_medialna_pl`, `ted_pl`, `rock_pollub_pl`, `open_icm_pl`, `wiadomosci_statystyczne_pl`, `plwiki_talk`, `sejm_committee_transcripts`, `plwiki_user_talk`, `nonsa`) and `kultura_bez_barier_pl` (on main, not yet released); `uzp_orzeczenia_pl`, held off main until v0.2.8; landed `studia_bas` and the `samorzad_gov_pl` v0.2 update; `build_dynaword` `preserve_id`/`preserve_created` flags. | `v0.2.5`, [PR #16](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/16); `v0.2.6`, [#18](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/18), [#25](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/25)–[#27](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/27), [#32](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/32)–[#37](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/37), [#39](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/39)–[#41](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/41), [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)–[#46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46) |
-| [Katarzyna Majzel-Pośpiech](https://huggingface.co/KateMajzel) | Added `wiktionary_examples`: usage examples extracted from the Polish Wiktionary dump, one document per headword. | `v0.2.5`, [PR #14](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/14) |
-| [gzawadzki](https://huggingface.co/gzawadzki) | Added `studia_bas`: peer-reviewed socioeconomic and public-policy articles from Studia BAS. | `v0.2.6`, [PR #19](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/19) (merged via [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)) |
 
 Contributions are credited when they add a verifiable dataset artifact, pipeline,
 validation, documentation or release work. A merged discussion with no resulting
 files is not listed as a data contribution.
 
 ## Guiding principles
-1. **Open & traceable licensing** — every source is *openly licensed* or outside copyright, with a
-   documented legal basis (see each datasheet's "traceable basis"), not a vague "public domain".
-   A few sources have a contested legal status rather than a licence; their datasheets describe it.
+1. **Open & traceable licensing** — every source is *openly licensed* with a documented
+   legal basis (see each datasheet's "traceable basis"), not a vague "public domain".
 2. **Reproducibility** — `src/build_dynaword.py` rebuilds the corpus from sources.
 3. **Documented** — a datasheet per source under `data/<source>/`.
 4. **Extensibility** — versioned; new sources via PR.
@@ -240,132 +164,33 @@ files is not listed as a data contribution.
 ## Sources
 | source | description | license | documents | tokens |
 |---|---|---|---:|---:|
-| [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `LicenseRef-EU-Reuse-Policy` | 242,488 | 2,333.0M |
-| [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 329,863 | 1,504.1M |
-| [wikipedia](data/wikipedia/wikipedia.md) | Polish Wikipedia | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 1,468,647 | 1,226.9M |
-| [biblioteka_nauki](data/biblioteka_nauki/biblioteka_nauki.md) | Biblioteka Nauki | `per-record upstream license` | 37,843 | 590.9M |
-| [dziennik_ustaw](data/dziennik_ustaw/dziennik_ustaw.md) | Dziennik Ustaw (Polish primary legislation) | `public-domain (official documents)` | 35,442 | 486.1M |
-| [plwiki_user_talk](data/plwiki_user_talk/plwiki_user_talk.md) | Polish Wikipedia user-talk pages (ns 3) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 380,295 | 381.0M |
-| [sejm_committee_transcripts](data/sejm_committee_transcripts/sejm_committee_transcripts.md) | Sejm committee transcripts (terms 9-10) | `public-domain (official documents)` | 613,722 | 112.0M |
-| [wolne_lektury](data/wolne_lektury/wolne_lektury.md) | Wolne Lektury (school readings) | `per-record Wolne Lektury licence (public domain, LAL 1.3, CC BY-SA 3.0 PL/3.0/4.0)` | 5,900 | 91.7M |
-| [govpl](data/govpl/govpl.md) | gov.pl — Polish government press releases | `CC-BY-SA-4.0` | 74,946 | 68.3M |
-| [plwiki_talk](data/plwiki_talk/plwiki_talk.md) | Polish Wikipedia talk pages (ns 1+5) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 43,054 | 55.6M |
-| [ted_pl](data/ted_pl/ted_pl.md) | TED Polish public-procurement notices | `TED notice status, no licence granted` | 14,210 | 39.6M |
-| [sejm_api](data/sejm_api/sejm_api.md) | Sejm API parliamentary speeches (2023 onward) | `public-domain (official documents)` | 39,776 | 30.6M |
-| [sejm_api_2011_2022](data/sejm_api_2011_2022/sejm_api_2011_2022.md) | Sejm speeches 2011-2022 (terms VII-IX, attributed) | `public-domain (official documents)` | 33,930 | 26.9M |
+| [european_hplt_v3_pl](data/european_hplt_v3_pl/european_hplt_v3_pl.md) | HPLT v3.0 Polish (web, top WDS bins 10-5) | `CC0-1.0` | 1,603,974 | 2,555.5M |
+| [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `CC-BY-4.0` | 243,060 | 2,378.1M |
+| [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 324,622 | 1,646.8M |
+| [wikisource](data/wikisource/wikisource.md) | Polish Wikisource | `CC-BY-SA-3.0` | 632,005 | 801.9M |
+| [wikipedia](data/wikipedia/wikipedia.md) | Polish Wikipedia | `CC-BY-SA-3.0` | 1,171,897 | 707.2M |
+| [biblioteka_nauki](data/biblioteka_nauki/biblioteka_nauki.md) | Biblioteka Nauki | `per-record upstream license` | 42,071 | 673.5M |
+| [dziennik_ustaw](data/dziennik_ustaw/dziennik_ustaw.md) | Dziennik Ustaw + Monitor Polski (Polish primary legislation) | `public-domain (official documents)` | 35,442 | 486.1M |
+| [wolne_lektury](data/wolne_lektury/wolne_lektury.md) | Wolne Lektury (school readings) | `CC-BY-SA-4.0 / Wolna Sztuka 1.3` | 6,141 | 103.0M |
+| [govpl](data/govpl/govpl.md) | gov.pl — Polish government press releases | `CC-BY-SA-4.0` | 88,190 | 80.7M |
+| [1000_novels](data/1000_novels/1000_novels.md) | 1000 Novels Corpus (CLARIN-PL) | `CC-BY-4.0` | 1,000 | 60.5M |
+| [samorzad_gov_pl](data/samorzad_gov_pl/samorzad_gov_pl.md) | samorzad.gov.pl — Polish public-sector institutions | `CC-BY-SA-4.0` | 72,771 | 41.2M |
+| [wikiquote](data/wikiquote/wikiquote.md) | Polish Wikiquote (quotations) | `CC-BY-SA-3.0` | 30,363 | 31.9M |
 | [eltec_pol](data/eltec_pol/eltec_pol.md) | ELTeC-pol (European Literary Text Collection, Polish) | `CC-BY-4.0` | 100 | 21.5M |
-| [nonsa](data/nonsa/nonsa.md) | Nonsensopedia (Polish satirical wiki, content namespaces) | `CC BY-SA 3.0` | 11,692 | 15.4M |
-| [wikibooks](data/wikibooks/wikibooks.md) | Polish Wikibooks (open textbooks) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date, plus the licence of imported text)` | 9,041 | 15.2M |
-| [wikivoyage](data/wikivoyage/wikivoyage.md) | Polish Wikivoyage (travel guides) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 7,312 | 14.1M |
-| [wikinews](data/wikinews/wikinews.md) | Polish Wikinews | `CC BY (2.5, 4.0 or both per record, by contribution date, plus the licence of imported text)` | 23,572 | 11.0M |
-| [global_voices](data/global_voices/global_voices.md) | Global Voices Polish | `CC-BY-3.0` | 1,926 | 3.5M |
-| [nkjp1m](data/nkjp1m/nkjp1m.md) | The manually annotated 1-million word subcorpus of the National Corpus of Polish | `CC-BY-4.0` | 18,381 | 2.6M |
-| [studia_bas](data/studia_bas/studia_bas.md) | Studia BAS — peer-reviewed socioeconomic and public-policy articles | `CC-BY-3.0-PL` | 112 | 2.3M |
-| [wiadomosci_statystyczne_pl](data/wiadomosci_statystyczne_pl/wiadomosci_statystyczne_pl.md) | Wiadomosci Statystyczne. The Polish Statistician (GUS) | `CC BY-SA 4.0` | 169 | 1.5M |
-| [rock_pollub_pl](data/rock_pollub_pl/rock_pollub_pl.md) | ROCK Politechnika Lubelska - Polish academic books | `CC-BY-SA-4.0` | 8 | 1.2M |
-| [edukacja_medialna_pl](data/edukacja_medialna_pl/edukacja_medialna_pl.md) | Edukacja Medialna - Polish media-literacy lessons | `CC-BY-SA-3.0` | 248 | 0.7M |
-| [open_agh_chemistry_pl](data/open_agh_chemistry_pl/open_agh_chemistry_pl.md) | Open AGH - four Polish chemistry textbooks | `CC-BY-SA-4.0` | 370 | 0.6M |
-| [open_icm_pl](data/open_icm_pl/open_icm_pl.md) | OPEN ICM Polish open-access publications pilot | `per-record CC BY or CC BY-SA` | 11 | 0.4M |
-| [wiktionary_examples](data/wiktionary_examples/wiktionary_examples.md) | Polish Wiktionary usage examples | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 1,818 | 0.2M |
-| **total** | | | **3,394,876** | **7,036.9M** |
-
-Each document's `license` field gives its own licence or status; the label above
-summarises the source.
-
-### Withdrawn since v0.2.5
-
-These v0.2.5 sources are not in v0.2.6, and they were removed from every earlier
-release tag ([Releases](#releases)).
-
-| source | v0.2.5 documents | v0.2.5 tokens | reason |
-|---|---:|---:|---|
-| `european_hplt_v3_pl` | 1,603,974 | 2,555.5M | Licence unverified: HPLT's CC0 covers its packaging, not the crawled pages. It will not be re-added. |
-| `wikisource` | 632,005 | 801.9M | Its single CC BY-SA 3.0 label also covered in-copyright post-war imprints that carry their own per-page licences. A rebuild from the official dump is planned for a later release. |
-| `1000_novels` | 1,000 | 60.5M | Its rights screen ([PR #49](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/49), [PR #55](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/55)) kept the public-domain texts, but no row records the edition its text follows, so a protected preface, abridgement or editor's corrections cannot be ruled out. Withdrawn on 2026-10-17 ([PR #124](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/124)). |
-| `samorzad_gov_pl` | 72,771 | 41.2M | Its CC BY-SA 4.0 is the platform operator's footer, not a grant from the 247 institutions that wrote the texts. Withdrawn on 2026-10-17 ([PR #123](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/123)). |
-| `wikiquote` | 30,363 | 31.9M | Most of its pages quote works still in copyright, and its CC BY-SA label covers only the contributors' selection. |
-
-### Changes since v0.2.5
-
-The 15 v0.2.5 sources in v0.2.6 total 2,297,055 documents / 6,399.8M tokens.
-
-- `eurlex` is relabelled `LicenseRef-EU-Reuse-Policy`: v0.2.5 labelled it
-  `CC-BY-4.0`, but the EUR-Lex notice grants CC BY 4.0 only for consolidated
-  texts and editorial content, not the acts themselves, and excludes
-  third-party material. The 92 documents carrying the IASB notice and
-  480 more found by a row review (third-party credits, UN ECE regulations,
-  European Parliament stubs) are dropped, and `eurlex.attribution.jsonl` gives
-  each row its EUR-Lex link. 242,488 documents / 2,333.0M tokens
-  ([PR #71](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/71), [PR #82](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/82), [PR #173](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/173), [PR #177](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/177)).
-- `parliamentary` was rebuilt from IPI PAN's speaker-labelled TEI dump: only
-  official speakers are kept in the sittings and exact copies are dropped. The
-  System Informacyjny Sejmu credit is given for its Sejm material as a
-  precaution. 329,863 documents / 1,504.1M tokens
-  ([PR #108](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/108), [PR #111](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/111)).
-- `wikipedia` was rebuilt from the official plwiki dump, replacing the SpeakLeash
-  snapshot. Each record is labelled CC BY-SA 3.0, 4.0 or both by its
-  contribution dates. The 35 pages that carry plwiki's copyright-violation notice
-  are dropped, and so are 7 pages that plwiki deleted for a copyright
-  violation. 1,171,897 → 1,468,647 documents, 707.2M → 1,226.9M tokens
-  ([PR #68](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/68), [PR #128](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/128), [PR #148](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/148)).
-- `biblioteka_nauki` keeps its text from the SpeakLeash redistribution. Each
-  record now carries the licence version and licence basis the Biblioteka Nauki
-  API gives for it. 3 records under the Public Domain Mark and 4,142 further
-  rows were dropped after review. 42,071 → 37,843 documents, 673.5M → 590.9M tokens
-  ([PR #62](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/62), [PR #81](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/81), [PR #186](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/186)).
-- `dziennik_ustaw` no longer claims Monitor Polski, which it never included. A
-  sidecar gives each row its ELI address, and the System Informacyjny Sejmu
-  credit is given as a precaution. Its text and counts are unchanged:
-  35,442 documents / 486.1M tokens ([PR #103](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/103), [PR #160](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/160), [PR #162](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/162)).
-- `wolne_lektury` is relabelled per document: v0.2.5 labelled every document
-  `CC-BY-SA-4.0 / Wolna Sztuka 1.3`, which is wrong. Each now carries the
-  licence its own Wolne Lektury book states (4,383 public domain, 1,467 LAL 1.3,
-  50 CC BY-SA 3.0 PL, 3.0 or 4.0), with its credits in
-  `wolne_lektury.attribution.jsonl`. 67 documents are dropped (63 eltec_pol
-  novels, 2 with no usable licence, 2 whose translation is not free), 174
-  printed in two later editors' selections are held out until the books'
-  contents are checked, and the author's and translator's notes are added at
-  the end of 459 texts.
-  5,900 documents / 91.7M tokens
-  ([PR #67](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/67), [PR #99](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/99), [PR #184](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/184), [PR #188](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/188), [PR #190](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/190), [PR #191](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/191)).
-- `govpl` drops 188 PAP reprints, 186 other third-party texts and 12,870 press
-  releases of prosecutor's offices. 88,190 → 74,946 documents, 80.7M → 68.3M tokens
-  ([PR #63](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/63), [PR #170](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/170), [PR #214](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/214)).
-- `sejm_api` cuts the "Przebieg posiedzenia" trailers, puts the 2,466
-  statements they appended into rows of their own and drops 123 rows by speakers
-  outside its allowlist. 38,812 → 39,776 documents, 36.3M → 30.6M tokens ([PR #83](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/83), [PR #158](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/158)).
-- `eltec_pol` adds author metadata and an attribution sidecar and restores the
-  chapter titles: 100 documents / 21.5M tokens ([PR #187](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/187)).
-- `wikibooks` withholds 54 pages: 51 by the rights review and 3 with
-  `{{GFDL-tekst}}`. Each record is labelled by its contribution dates and the
-  licence of imported text, and markup residue is removed. 9,112 → 9,041
-  documents, 15.6M → 15.2M tokens ([PR #127](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/127), [PR #134](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/134), [PR #139](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/139), [PR #142](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/142), [PR #147](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/147)).
-- `wikivoyage` withholds 6,330 pages: 6,326 with `{{Atrybucja}}` (text from
-  Wikitravel), 2 with `{{Import}}` and 2 by the rights review. Each record is
-  labelled by its contribution dates, and markup residue is removed.
-  13,645 → 7,312 documents, 17.1M → 14.1M tokens ([PR #125](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/125), [PR #133](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/133), [PR #138](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/138), [PR #141](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/141)).
-- `wikinews` withholds 1 page. Each record is labelled by its contribution
-  dates and the licence of imported text, and markup residue is removed.
-  24,386 → 23,572 documents, 12.1M → 11.0M tokens
-  ([PR #77](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/77), [PR #130](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/130), [PR #132](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/132), [PR #137](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/137), [PR #146](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/146)).
-- `global_voices` drops 114 posts republished from partner outlets.
-  2,040 → 1,926 documents, 3.7M → 3.5M tokens ([PR #66](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/66)).
-- `nkjp1m` is relabelled `CC-BY-4.0` per the NKJP Consortium and ships an
-  agreed attribution file; its text is unchanged ([PR #51](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/51)).
-- `wiktionary_examples` dropped the lines quoting third-party works and is
-  relabelled per record `CC-BY-SA-3.0`, `CC-BY-SA-4.0` or both, by contribution
-  date. 8,639 → 1,818 documents, 1.1M → 0.2M tokens ([PR #50](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/50)).
-
-## On main, not in v0.2.6
-These sources are on main but not in the `v0.2.6` tag. Only the main figures at
-the top count them.
-
-| source | documents | tokens | status |
-|---|---:|---:|---|
-| `sejm_interpellations` | 25,950 | 28.2M | Quotes letters from the public, some with health details. Held for the NERGAL pass; planned for v0.2.7. |
-| `kultura_bez_barier_pl` | 7 | 0.1M | Waits for an answer on the scope of its licence. |
-
-`uzp_orzeczenia_pl` is held off main until v0.2.8 (see `CHANGELOG.md`).
+| [wikivoyage](data/wikivoyage/wikivoyage.md) | Polish Wikivoyage (travel guides) | `CC-BY-SA-3.0` | 13,645 | 17.1M |
+| [wikibooks](data/wikibooks/wikibooks.md) | Polish Wikibooks (open textbooks) | `CC-BY-SA-3.0` | 9,112 | 15.6M |
+| [wikinews](data/wikinews/wikinews.md) | Polish Wikinews | `CC-BY-2.5` | 24,386 | 12.1M |
+| [global_voices](data/global_voices/global_voices.md) | Global Voices Polish | `CC-BY-3.0` | 2,040 | 3.7M |
+| [nkjp1m](data/nkjp1m/nkjp1m.md) | The manually annotated 1-million word subcorpus of the National Corpus of Polish | `CC-BY` | 18,381 | 2.6M |
+| **total** | | | **4,319,200** | **9,639.1M** |
+
+## Sources on main, not yet released
+Built and documented, but **not** part of v0.2.5 and excluded from every total above. They join a release when a CHANGELOG entry admits them.
+
+| source | description | license | documents | tokens |
+|---|---|---|---:|---:|
+| [sejm_api](data/sejm_api/sejm_api.md) | Sejm API parliamentary speeches (2023 onward) | `public-domain (official documents)` | 38,812 | 36.3M |
+| [wiktionary_examples](data/wiktionary_examples/wiktionary_examples.md) | Polish Wiktionary usage examples | `CC-BY-SA-3.0` | 8,639 | 1.1M |
 
 ## Method
 Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
@@ -376,13 +201,6 @@ Evaluation-set decontamination is applied/marked separately. Schema:
 and `author` columns are per-document metadata when upstream exposes them; older
 sources use the source-level license and an empty author field.
 
-Cross-source deduplication covers some pairs of sources only. Wolne Lektury
-drops a document when at least 0.9 of its 5-word shingles are in one ELTeC
-novel; below that, both copies stay. Both tomes of Helena Mniszek's
-*Trędowata* (0.7588 and 0.6473 against the same, shorter ELTeC text) are
-therefore in both `wolne_lektury` and `eltec_pol`; the pairs are listed in
-`data/wolne_lektury/wolne_lektury.eltec_pairs.tsv`.
-
 ## v0.3 quality roadmap and current status
 
 The v0.2.x raw corpus is intentionally provenance-first, but its token mix is too
@@ -403,22 +221,18 @@ workflow therefore separates **source inclusion** from **training mix**:
 
 Current v0.3 source-ingestion status:
 
-- `biblioteka_nauki`: included with its text from SpeakLeash's redistribution
-  and each document's licence and author from the Biblioteka Nauki API.
+- `biblioteka_nauki`: included from the direct-upstream rebuild with
+  per-document license and author metadata.
 - `europeana`: prepared in the source registry as a direct-upstream rebuild
   target with per-record rights statements and creator metadata; raw SpeakLeash
   Europeana remains excluded.
 - Europeana release policy: split conservatively at pre-1929 records for
   US-sensitive downstream reuse, and keep later/unknown records separately
-  labeled or held until their US rights status is checked.
-- `european_hplt_v3_pl`: WDS bins 10-5 shipped in v0.2.4 and v0.2.5, then the
-  data was removed from main because its licence is unverified: HPLT packaging
-  is CC0, but the underlying crawled web documents can carry independent rights.
-  It will not be re-added.
-- `1000_novels`: a per-text rights screen kept the texts in the public domain in
-  Poland, but no row records the edition its text follows, so the source was
-  withdrawn from main on 2026-10-17. Re-admission, per text with the edition
-  identified, is tracked for v0.2.8.
+  labeled or held until legal review.
+- `european_hplt_v3_pl`: WDS bins 10-5 are included in v0.2.5 after contract
+  validation. HPLT packaging is CC0, while underlying crawled web documents can
+  carry independent rights; downstream near-dedup and web-content review remain
+  recommended before training.
 
 Current review artifacts:
 
@@ -436,178 +250,44 @@ Sources we reviewed and **deliberately left out** — part of the curation:
 |---|---|
 | `open_subtitles_corpus` | Derivative of copyrighted film/TV dialogue; OpenSubtitles uploads largely unlicensed. Same copyright lesson as Danish Gigaword's OpenSubtitles (paper 2508.02271). Not openly licensed. |
 | `europeana_eu_pl_corpus_raw_speakleash` | Aggregated items with mixed per-record rights (PD / CC-BY-NC / rights-reserved). The raw SpeakLeash redistribution is excluded; only a direct rebuild preserving per-record rights metadata may be included. |
-| `project_gutenberg_pl_corpus` | Only 31 PL books (4.3MB) — PG is ~99% English; Polish PD literature already covered by wolne_lektury (so near-redundant after dedup). Dropped to avoid the PD-in-EU per-work check (PG claims PD-in-US only) for negligible token gain. |
+| `1000_novels_corpus_CLARIN-PL` | CC-BY-4.0 label, but 'novels' likely include in-copyright contemporary works; verify titles/years on CLARIN handle 11321/312 before inclusion. |
+| `project_gutenberg_pl_corpus` | Only 31 PL books (4.3MB) — PG is ~99% English; Polish PD literature already covered by wolne_lektury + wikisource (so near-redundant after dedup). Dropped to avoid the PD-in-EU per-work check (PG claims PD-in-US only) for negligible token gain. |
 
 ## Personal & sensitive data
-The corpus is built from text that its upstream sources already published under
-open licences or as official public record. It names **public figures acting in
-a public capacity**, for example:
-- parliamentary speakers, from [PPC](https://clip.ipipan.waw.pl/PPC) (the Polish
-  Parliamentary Corpus) and the Sejm API;
-- authorities named in legal acts (EUR-Lex);
-- people described in encyclopedic articles (Wikipedia).
-
-The corpus can also hold personal data about private persons, which our filters
-do not fully remove.
-
-**v0.2.6 ships before the NERGAL pass.** Only each source's own filters apply
-(see its datasheet). The [NERGAL](https://huggingface.co/SlayerLab/NERGAL)
-personal-data pass runs on every source before v0.2.7.
-
-**Your rights.** If the corpus holds data about you, you can ask us to:
-- tell you what it holds (GDPR Art. 15);
-- correct it (Art. 16);
-- remove it (Art. 17);
-- restrict its use (Art. 18).
-
-You can also object to its processing (Art. 21).
-
-Write to **takedown@fabryka.ai**. Name the record by its source and record id,
-by a link, or by a phrase from its text.
-- We answer within one month. For complex or numerous requests we may extend
-  this by two months, and we tell you why within the first month.
-- We ask for proof of identity only when we cannot otherwise tell that the
-  request is yours.
-- You can also complain to the President of the Personal Data Protection Office
-  (UODO).
-
-Removal follows the notice-and-takedown procedure below.
+This corpus contains **only** text that its upstream sources already published
+under open licenses or as official public-domain record. It therefore includes
+names and statements of **public figures acting in a public capacity** — e.g.
+parliamentary speakers (PPC), authorities named in legal acts (EUR-Lex), and
+people described in encyclopedic articles (Wikipedia/Wikisource). No private,
+non-public personal data was collected or added. If you are a data subject and
+want content concerning you removed, contact **k.wikiel@gmail.com** — it will be dropped
+from the next version (see retroactive-removal policy below).
 
 ## Disclaimer & legal
-- **Provenance in good faith.** Per-source licences are reproduced *as documented
-  by the upstream sources*, to the best of our knowledge. We make no independent
-  legal warranty about the copyright status of any individual document.
-- **Publication basis.** Each source is published on its own basis, given in its
-  datasheet: a licence, the public domain, the status of an official document or
-  another basis the datasheet states.
-  We do not rely on the text-and-data-mining exception to publish any source.
-- **Acquisition dates.** Datasheets give the date a source was fetched where we
-  recorded it; it is not recorded for every source.
+- **Provenance in good faith.** Per-source licenses are reproduced *as documented
+  by the upstream sources and by SpeakLeash* (the intermediate aggregator), to the
+  best of our knowledge. We make no independent legal warranty about the copyright
+  status of any individual document.
 - **No ownership claim.** This release is a *curated, license-reviewed, documented
   aggregation*. We claim no ownership of the underlying texts; rights remain with
   the original authors/rightsholders under their respective licenses.
 - **Provided "as is"**, without warranty of any kind, express or implied. This is
   not legal advice.
-- **Your compliance is yours.** Downstream users must satisfy the licence of each
-  document themselves, as its `license` field and its source's datasheet give
-  it, including attribution. See
-  [Training models on this dataset](#training-models-on-this-dataset).
-- **Copied text in Wikipedia.** The Wikipedia build drops pages that carry
-  plwiki's copyright-violation notice, but it cannot detect a paste without one.
-  In a hand-checked sample of 80 pages, 2 contained text copied or closely
-  paraphrased from a copyrighted source: about 2.5%, with a 95% upper bound of
-  12.9% for each licence label. Both pages are dropped; others like them remain
-  and are removed on notice (below). Method and sample:
-  [data/wikipedia/wikipedia.md](data/wikipedia/wikipedia.md).
-- **Notice-and-takedown.** Anyone can ask us to remove a record: a rightsholder,
-  a source, or a person the text is about. Write to **takedown@fabryka.ai**. Name
-  the record by its source and record id, by a link, or by a phrase from its
-  text, and give the reason.
-  - We acknowledge the request within 5 working days.
-  - We **disable** a substantiated request **within 7 days**. The record leaves
-    `main`. Its id and text hash go on a blocklist, so no later build brings it
-    back.
-  - We then **remove it from every earlier public revision** on the Hub,
-    including tagged releases. We aim to finish within 30 days, with Hugging
-    Face's help where history has to be rewritten. Old commits and tags stay,
-    but the removed files can no longer be downloaded from them. We cannot
-    reach copies that were downloaded before.
-  - We record each removal in [takedown/register.md](takedown/register.md),
-    without personal data.
-  - The procedure is in [takedown/PROCEDURE.md](takedown/PROCEDURE.md).
+- **Your compliance is yours.** Downstream users must satisfy each upstream
+  license themselves — in particular **CC-BY-SA-4.0 attribution and share-alike**
+  for derivatives of this dataset, and attribution to the upstream sources and to
+  SpeakLeash.
+- **Notice-and-takedown.** Any source or rightsholder raising a substantiated
+  objection can have material removed: contact **k.wikiel@gmail.com**; it is dropped from
+  the next version and recorded in the CHANGELOG. Removal is retroactive
+  going-forward (prior immutable snapshots/commits may persist).
 
 ## License & attribution
-The collection (selection, arrangement and our metadata) is released under
-**CC BY-SA 4.0**, to the extent of our rights. Each document keeps the licence or
-status in its `license` field; the collection licence does not change it, and it
-does not cover third-party works in official documents or third-party statements
-in parliamentary texts. Attribution is due to each upstream source (see the
-datasheets). A source withdrawn after an objection is recorded in the CHANGELOG.
-A single record removed on request is listed in
-[takedown/register.md](takedown/register.md); see Notice-and-takedown above.
-
-### Training models on this dataset
-CC licenses apply only to uses that require permission under copyright or related
-rights; they do not restrict uses permitted by statutory exceptions. The ShareAlike
-condition applies when adapted material is shared publicly, and including a work
-unchanged in a collection does not by itself create adapted material. In our
-understanding, and in the view of several commentators, training a model does not
-by itself make the model adapted material of the training texts, so ShareAlike
-does not apply to model weights or adapters merely because they were trained on
-such texts; this has not been tested in court. The assessment may differ where a
-model or adapter contains and can reproduce protected portions of training texts,
-or where an output reproduces protected expression from them, literally or in
-recognisably adapted or translated form; sharing such a model or output then
-requires a basis (the license of the reproduced text, with its conditions, or a
-statutory exception), and whether ShareAlike also applies in that case is
-unsettled. Creative Commons has published guidance for those who choose to comply
-with CC licenses in all cases, stating that it does not take a position on whether
-and when copyright applies; it recommends that models and outputs based on
-ShareAlike material be shared under the same license, while noting that this will
-almost certainly lead to overcompliance. The Free Art License 1.3 has its own
-copyleft conditions, for derived works (§ 2.3) and for incorporation into a larger
-work (§ 4), and their application to models is likewise unsettled. Datasets
-derived from individual documents (paraphrased, summarised or machine-translated
-versions) and retrieval datastores containing the texts are outside this
-assessment: sharing them may amount to sharing the texts or adaptations of them;
-embedding indexes and new databases built from this dataset may need a separate
-assessment.
-
-If you want to minimise licensing risk for a model trained on this dataset, you
-can exclude documents whose license field indicates CC BY-SA or the Free Art
-License. If you include them and ShareAlike or the Free Art License's copyleft
-does apply to what you share, it is not enough to share it on terms that merely
-do not restrict the rights granted: CC BY-SA requires a Creative Commons license
-with the same License Elements (this version or later) or a BY-SA Compatible
-License, and the Free Art License requires the same or a compatible license.
-Attribution obligations attach to the individual licensed texts (creator,
-copyright and license notices, indication of changes); crediting the dataset (for
-example "Training data: Polish DynaWord, <link>") helps only if the link leads to
-a resource that actually contains the information required for each text. Check
-what the dataset provides for each document: the license and source fields may
-not include every required notice (for example, author names are missing for
-some older sources). License metadata may contain errors; filtering reduces, but
-does not eliminate, this risk.
-
-Models may reproduce portions of training texts, literally or in recognisably
-adapted or translated form. Where an output reproduces protected expression from
-a text and sharing it requires permission, it is subject to that text's license
-(including attribution); facts, ideas, commonplace phrases without original
-expression and uses covered by statutory exceptions (such as quotation) are not;
-shortness alone does not make a fragment unprotected.
-
-Removing a text from the corpus does not remove it from models already trained.
-
-## For general-purpose model providers
-What a provider of a general-purpose AI model may need for its copyright policy
-and its public summary of training content (AI Act, Art. 53(1)(c) and (d)). Those
-obligations rest with the model provider. This card is not a compliance
-guarantee.
-
-- **Name and version:** Polish DynaWord `v0.2.6`,
-  <https://huggingface.co/datasets/SlayerLab/polish-dynaword>, loaded with
-  `revision="v0.2.6"`.
-- **Size and acquisition:** documents and tokens per source in [Sources](#sources).
-  Each datasheet under `data/<source>/` gives the date the source was fetched
-  where we recorded it; it is not recorded for every source.
-- **Content:** human-written Polish text under open licences (Creative Commons,
-  the Free Art License), public-domain works and official documents
-  (legislation, parliamentary records, public-procurement notices). It contains
-  personal data from public sources
-  ([Personal & sensitive data](#personal--sensitive-data)).
-- **Licence per document:** the machine-readable `license` field. Each
-  datasheet gives the source's basis for publication.
-- **Text-and-data-mining reservations:** we did not check machine-readable
-  reservations (for example in robots.txt) systematically, and the corpus does
-  not record them per document.
-- **Filters and personal data:** the gates in [Method](#method) and each
-  source's own filters, described in its datasheet. v0.2.6 has not had the
-  NERGAL personal-data pass; it runs on every source before v0.2.7.
-- **Withdrawn sources and change history:**
-  [Withdrawn since v0.2.5](#withdrawn-since-v025) and `CHANGELOG.md`.
-- **Removal requests:** the notice-and-takedown procedure under
-  [Disclaimer & legal](#disclaimer--legal), with the public register in
-  [takedown/register.md](takedown/register.md).
+Released under **CC-BY-SA-4.0** (copyleft inherited from CC-BY-SA sources such as
+Wikipedia/Wikisource/Wolne Lektury). Attribution due to each upstream (see datasheets)
+and to **SpeakLeash** as the intermediate aggregator. Retroactive-removal policy: a
+source that raises an objection is dropped from subsequent versions, recorded in the
+CHANGELOG.
 
 ## Reproduce
 ```bash
@@ -621,33 +301,42 @@ python3 src/make_docs.py
 
 Raw counts and token-normalized shares are regenerated from the current Parquet files with `src/pattern_frequency_report.py`.
 
-- Total token count (tiktoken proxy): **7,036,938,603**
+- Total token count (tiktoken proxy): **9,639,062,573**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 457,031 | 0.0065% |
-| `klasyfikacji` | 169,748 | 0.0024% |
-| `ustawa` | 664,616 | 0.0094% |
-| `artykuł` | 3,423,411 | 0.0486% |
-| `parlament` | 1,284,768 | 0.0183% |
-| `rozporządzenie` | 1,515,578 | 0.0215% |
-| `w pobliżu` | 81,258 | 0.0012% |
-| `mieszkańców` | 337,033 | 0.0048% |
-| `Dz.U.` | 979,489 | 0.0139% |
+| `w roku` | 585,072 | 0.0061% |
+| `klasyfikacji` | 164,757 | 0.0017% |
+| `ustawa` | 659,103 | 0.0068% |
+| `artykuł` | 2,416,361 | 0.0251% |
+| `parlament` | 1,285,792 | 0.0133% |
+| `rozporządzenie` | 1,527,456 | 0.0158% |
+| `w pobliżu` | 127,784 | 0.0013% |
+| `mieszkańców` | 476,710 | 0.0049% |
+| `Dz.U.` | 987,048 | 0.0102% |
 
 ### Per-source shares
 
 | source | pattern | count | share of source tokens |
 |---|---|---:|---:|
-| `biblioteka_nauki` | `w roku` | 24,639 | 0.00417% |
-| `biblioteka_nauki` | `klasyfikacji` | 7,192 | 0.00122% |
-| `biblioteka_nauki` | `ustawa` | 45,001 | 0.00762% |
-| `biblioteka_nauki` | `artykuł` | 84,189 | 0.01425% |
-| `biblioteka_nauki` | `parlament` | 29,217 | 0.00494% |
-| `biblioteka_nauki` | `rozporządzenie` | 18,331 | 0.00310% |
-| `biblioteka_nauki` | `w pobliżu` | 2,783 | 0.00047% |
-| `biblioteka_nauki` | `mieszkańców` | 30,702 | 0.00520% |
-| `biblioteka_nauki` | `Dz.U.` | 31,913 | 0.00540% |
+| `1000_novels` | `w roku` | 659 | 0.00109% |
+| `1000_novels` | `klasyfikacji` | 14 | 0.00002% |
+| `1000_novels` | `ustawa` | 656 | 0.00108% |
+| `1000_novels` | `artykuł` | 729 | 0.00120% |
+| `1000_novels` | `parlament` | 240 | 0.00040% |
+| `1000_novels` | `rozporządzenie` | 65 | 0.00011% |
+| `1000_novels` | `w pobliżu` | 1,262 | 0.00209% |
+| `1000_novels` | `mieszkańców` | 868 | 0.00143% |
+| `1000_novels` | `Dz.U.` | 0 | 0.00000% |
+| `biblioteka_nauki` | `w roku` | 28,728 | 0.00427% |
+| `biblioteka_nauki` | `klasyfikacji` | 9,045 | 0.00134% |
+| `biblioteka_nauki` | `ustawa` | 48,791 | 0.00724% |
+| `biblioteka_nauki` | `artykuł` | 91,241 | 0.01355% |
+| `biblioteka_nauki` | `parlament` | 32,868 | 0.00488% |
+| `biblioteka_nauki` | `rozporządzenie` | 19,594 | 0.00291% |
+| `biblioteka_nauki` | `w pobliżu` | 3,378 | 0.00050% |
+| `biblioteka_nauki` | `mieszkańców` | 34,392 | 0.00511% |
+| `biblioteka_nauki` | `Dz.U.` | 33,098 | 0.00491% |
 | `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
 | `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
 | `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
@@ -657,51 +346,51 @@ Raw counts and token-normalized shares are regenerated from the current Parquet
 | `dziennik_ustaw` | `w pobliżu` | 1,087 | 0.00022% |
 | `dziennik_ustaw` | `mieszkańców` | 8,025 | 0.00165% |
 | `dziennik_ustaw` | `Dz.U.` | 158 | 0.00003% |
-| `edukacja_medialna_pl` | `w roku` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `klasyfikacji` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `ustawa` | 31 | 0.00435% |
-| `edukacja_medialna_pl` | `artykuł` | 167 | 0.02342% |
-| `edukacja_medialna_pl` | `parlament` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `w pobliżu` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `mieszkańców` | 10 | 0.00140% |
-| `edukacja_medialna_pl` | `Dz.U.` | 0 | 0.00000% |
 | `eltec_pol` | `w roku` | 108 | 0.00050% |
 | `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
 | `eltec_pol` | `ustawa` | 153 | 0.00071% |
-| `eltec_pol` | `artykuł` | 174 | 0.00081% |
+| `eltec_pol` | `artykuł` | 173 | 0.00081% |
 | `eltec_pol` | `parlament` | 95 | 0.00044% |
 | `eltec_pol` | `rozporządzenie` | 35 | 0.00016% |
 | `eltec_pol` | `w pobliżu` | 246 | 0.00114% |
 | `eltec_pol` | `mieszkańców` | 214 | 0.00100% |
 | `eltec_pol` | `Dz.U.` | 0 | 0.00000% |
-| `eurlex` | `w roku` | 39,642 | 0.00170% |
-| `eurlex` | `klasyfikacji` | 57,321 | 0.00246% |
-| `eurlex` | `ustawa` | 30,329 | 0.00130% |
-| `eurlex` | `artykuł` | 1,774,561 | 0.07606% |
-| `eurlex` | `parlament` | 779,474 | 0.03341% |
-| `eurlex` | `rozporządzenie` | 1,200,341 | 0.05145% |
-| `eurlex` | `w pobliżu` | 5,754 | 0.00025% |
-| `eurlex` | `mieszkańców` | 9,389 | 0.00040% |
-| `eurlex` | `Dz.U.` | 914,962 | 0.03922% |
-| `global_voices` | `w roku` | 146 | 0.00423% |
-| `global_voices` | `klasyfikacji` | 4 | 0.00012% |
-| `global_voices` | `ustawa` | 148 | 0.00428% |
-| `global_voices` | `artykuł` | 913 | 0.02643% |
-| `global_voices` | `parlament` | 348 | 0.01008% |
-| `global_voices` | `rozporządzenie` | 23 | 0.00067% |
-| `global_voices` | `w pobliżu` | 90 | 0.00261% |
-| `global_voices` | `mieszkańców` | 463 | 0.01341% |
+| `eurlex` | `w roku` | 40,009 | 0.00168% |
+| `eurlex` | `klasyfikacji` | 59,428 | 0.00250% |
+| `eurlex` | `ustawa` | 30,368 | 0.00128% |
+| `eurlex` | `artykuł` | 1,774,958 | 0.07464% |
+| `eurlex` | `parlament` | 780,286 | 0.03281% |
+| `eurlex` | `rozporządzenie` | 1,202,658 | 0.05057% |
+| `eurlex` | `w pobliżu` | 6,088 | 0.00026% |
+| `eurlex` | `mieszkańców` | 9,441 | 0.00040% |
+| `eurlex` | `Dz.U.` | 915,707 | 0.03851% |
+| `european_hplt_v3_pl` | `w roku` | 113,501 | 0.00444% |
+| `european_hplt_v3_pl` | `klasyfikacji` | 24,675 | 0.00097% |
+| `european_hplt_v3_pl` | `ustawa` | 16,067 | 0.00063% |
+| `european_hplt_v3_pl` | `artykuł` | 283,875 | 0.01111% |
+| `european_hplt_v3_pl` | `parlament` | 45,516 | 0.00178% |
+| `european_hplt_v3_pl` | `rozporządzenie` | 11,841 | 0.00046% |
+| `european_hplt_v3_pl` | `w pobliżu` | 44,108 | 0.00173% |
+| `european_hplt_v3_pl` | `mieszkańców` | 172,896 | 0.00677% |
+| `european_hplt_v3_pl` | `Dz.U.` | 9,487 | 0.00037% |
+| `global_voices` | `w roku` | 160 | 0.00431% |
+| `global_voices` | `klasyfikacji` | 5 | 0.00013% |
+| `global_voices` | `ustawa` | 157 | 0.00423% |
+| `global_voices` | `artykuł` | 1,047 | 0.02818% |
+| `global_voices` | `parlament` | 366 | 0.00985% |
+| `global_voices` | `rozporządzenie` | 26 | 0.00070% |
+| `global_voices` | `w pobliżu` | 105 | 0.00283% |
+| `global_voices` | `mieszkańców` | 508 | 0.01367% |
 | `global_voices` | `Dz.U.` | 1 | 0.00003% |
-| `govpl` | `w roku` | 3,228 | 0.00473% |
-| `govpl` | `klasyfikacji` | 514 | 0.00075% |
-| `govpl` | `ustawa` | 4,562 | 0.00668% |
-| `govpl` | `artykuł` | 1,659 | 0.00243% |
-| `govpl` | `parlament` | 3,611 | 0.00529% |
-| `govpl` | `rozporządzenie` | 4,024 | 0.00589% |
-| `govpl` | `w pobliżu` | 649 | 0.00095% |
-| `govpl` | `mieszkańców` | 12,715 | 0.01862% |
-| `govpl` | `Dz.U.` | 2,921 | 0.00428% |
+| `govpl` | `w roku` | 3,372 | 0.00418% |
+| `govpl` | `klasyfikacji` | 526 | 0.00065% |
+| `govpl` | `ustawa` | 4,727 | 0.00586% |
+| `govpl` | `artykuł` | 2,417 | 0.00300% |
+| `govpl` | `parlament` | 3,967 | 0.00492% |
+| `govpl` | `rozporządzenie` | 4,102 | 0.00509% |
+| `govpl` | `w pobliżu` | 892 | 0.00111% |
+| `govpl` | `mieszkańców` | 13,105 | 0.01625% |
+| `govpl` | `Dz.U.` | 3,114 | 0.00386% |
 | `nkjp1m` | `w roku` | 109 | 0.00419% |
 | `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
 | `nkjp1m` | `ustawa` | 79 | 0.00304% |
@@ -711,177 +400,87 @@ Raw counts and token-normalized shares are regenerated from the current Parquet
 | `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
 | `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
 | `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
-| `nonsa` | `w roku` | 522 | 0.00338% |
-| `nonsa` | `klasyfikacji` | 100 | 0.00065% |
-| `nonsa` | `ustawa` | 70 | 0.00045% |
-| `nonsa` | `artykuł` | 3,009 | 0.01949% |
-| `nonsa` | `parlament` | 307 | 0.00199% |
-| `nonsa` | `rozporządzenie` | 14 | 0.00009% |
-| `nonsa` | `w pobliżu` | 316 | 0.00205% |
-| `nonsa` | `mieszkańców` | 1,167 | 0.00756% |
-| `nonsa` | `Dz.U.` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w roku` | 6 | 0.00106% |
-| `open_agh_chemistry_pl` | `klasyfikacji` | 9 | 0.00160% |
-| `open_agh_chemistry_pl` | `ustawa` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `artykuł` | 3 | 0.00053% |
-| `open_agh_chemistry_pl` | `parlament` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w pobliżu` | 17 | 0.00301% |
-| `open_agh_chemistry_pl` | `mieszkańców` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `Dz.U.` | 0 | 0.00000% |
-| `open_icm_pl` | `w roku` | 19 | 0.00430% |
-| `open_icm_pl` | `klasyfikacji` | 9 | 0.00204% |
-| `open_icm_pl` | `ustawa` | 30 | 0.00680% |
-| `open_icm_pl` | `artykuł` | 121 | 0.02741% |
-| `open_icm_pl` | `parlament` | 34 | 0.00770% |
-| `open_icm_pl` | `rozporządzenie` | 4 | 0.00091% |
-| `open_icm_pl` | `w pobliżu` | 0 | 0.00000% |
-| `open_icm_pl` | `mieszkańców` | 27 | 0.00612% |
-| `open_icm_pl` | `Dz.U.` | 14 | 0.00317% |
-| `parliamentary` | `w roku` | 174,916 | 0.01163% |
-| `parliamentary` | `klasyfikacji` | 10,872 | 0.00072% |
-| `parliamentary` | `ustawa` | 444,839 | 0.02957% |
-| `parliamentary` | `artykuł` | 176,400 | 0.01173% |
-| `parliamentary` | `parlament` | 297,729 | 0.01979% |
-| `parliamentary` | `rozporządzenie` | 104,305 | 0.00693% |
-| `parliamentary` | `w pobliżu` | 4,584 | 0.00030% |
-| `parliamentary` | `mieszkańców` | 73,641 | 0.00490% |
-| `parliamentary` | `Dz.U.` | 23,615 | 0.00157% |
-| `plwiki_talk` | `w roku` | 2,632 | 0.00474% |
-| `plwiki_talk` | `klasyfikacji` | 630 | 0.00113% |
-| `plwiki_talk` | `ustawa` | 1,365 | 0.00246% |
-| `plwiki_talk` | `artykuł` | 75,408 | 0.13571% |
-| `plwiki_talk` | `parlament` | 1,241 | 0.00223% |
-| `plwiki_talk` | `rozporządzenie` | 464 | 0.00084% |
-| `plwiki_talk` | `w pobliżu` | 421 | 0.00076% |
-| `plwiki_talk` | `mieszkańców` | 2,297 | 0.00413% |
-| `plwiki_talk` | `Dz.U.` | 289 | 0.00052% |
-| `plwiki_user_talk` | `w roku` | 2,439 | 0.00064% |
-| `plwiki_user_talk` | `klasyfikacji` | 1,213 | 0.00032% |
-| `plwiki_user_talk` | `ustawa` | 1,379 | 0.00036% |
-| `plwiki_user_talk` | `artykuł` | 1,211,479 | 0.31796% |
-| `plwiki_user_talk` | `parlament` | 2,043 | 0.00054% |
-| `plwiki_user_talk` | `rozporządzenie` | 618 | 0.00016% |
-| `plwiki_user_talk` | `w pobliżu` | 568 | 0.00015% |
-| `plwiki_user_talk` | `mieszkańców` | 2,755 | 0.00072% |
-| `plwiki_user_talk` | `Dz.U.` | 234 | 0.00006% |
-| `rock_pollub_pl` | `w roku` | 22 | 0.00187% |
-| `rock_pollub_pl` | `klasyfikacji` | 150 | 0.01273% |
-| `rock_pollub_pl` | `ustawa` | 21 | 0.00178% |
-| `rock_pollub_pl` | `artykuł` | 173 | 0.01469% |
-| `rock_pollub_pl` | `parlament` | 25 | 0.00212% |
-| `rock_pollub_pl` | `rozporządzenie` | 19 | 0.00161% |
-| `rock_pollub_pl` | `w pobliżu` | 4 | 0.00034% |
-| `rock_pollub_pl` | `mieszkańców` | 3 | 0.00025% |
-| `rock_pollub_pl` | `Dz.U.` | 12 | 0.00102% |
-| `sejm_api` | `w roku` | 2,002 | 0.00653% |
-| `sejm_api` | `klasyfikacji` | 125 | 0.00041% |
-| `sejm_api` | `ustawa` | 10,937 | 0.03570% |
-| `sejm_api` | `artykuł` | 749 | 0.00244% |
-| `sejm_api` | `parlament` | 14,159 | 0.04621% |
-| `sejm_api` | `rozporządzenie` | 1,088 | 0.00355% |
-| `sejm_api` | `w pobliżu` | 85 | 0.00028% |
-| `sejm_api` | `mieszkańców` | 2,689 | 0.00878% |
-| `sejm_api` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_api_2011_2022` | `w roku` | 2,592 | 0.00965% |
-| `sejm_api_2011_2022` | `klasyfikacji` | 50 | 0.00019% |
-| `sejm_api_2011_2022` | `ustawa` | 8,934 | 0.03325% |
-| `sejm_api_2011_2022` | `artykuł` | 1,079 | 0.00402% |
-| `sejm_api_2011_2022` | `parlament` | 11,246 | 0.04186% |
-| `sejm_api_2011_2022` | `rozporządzenie` | 689 | 0.00256% |
-| `sejm_api_2011_2022` | `w pobliżu` | 71 | 0.00026% |
-| `sejm_api_2011_2022` | `mieszkańców` | 2,109 | 0.00785% |
-| `sejm_api_2011_2022` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_committee_transcripts` | `w roku` | 6,980 | 0.00623% |
-| `sejm_committee_transcripts` | `klasyfikacji` | 282 | 0.00025% |
-| `sejm_committee_transcripts` | `ustawa` | 19,420 | 0.01734% |
-| `sejm_committee_transcripts` | `artykuł` | 13,837 | 0.01235% |
-| `sejm_committee_transcripts` | `parlament` | 18,245 | 0.01629% |
-| `sejm_committee_transcripts` | `rozporządzenie` | 5,255 | 0.00469% |
-| `sejm_committee_transcripts` | `w pobliżu` | 146 | 0.00013% |
-| `sejm_committee_transcripts` | `mieszkańców` | 4,129 | 0.00369% |
-| `sejm_committee_transcripts` | `Dz.U.` | 73 | 0.00007% |
-| `studia_bas` | `w roku` | 87 | 0.00386% |
-| `studia_bas` | `klasyfikacji` | 85 | 0.00377% |
-| `studia_bas` | `ustawa` | 312 | 0.01383% |
-| `studia_bas` | `artykuł` | 272 | 0.01206% |
-| `studia_bas` | `parlament` | 154 | 0.00683% |
-| `studia_bas` | `rozporządzenie` | 180 | 0.00798% |
-| `studia_bas` | `w pobliżu` | 8 | 0.00035% |
-| `studia_bas` | `mieszkańców` | 359 | 0.01591% |
-| `studia_bas` | `Dz.U.` | 476 | 0.02110% |
-| `ted_pl` | `w roku` | 3,586 | 0.00906% |
-| `ted_pl` | `klasyfikacji` | 311 | 0.00079% |
-| `ted_pl` | `ustawa` | 2,236 | 0.00565% |
-| `ted_pl` | `artykuł` | 1,342 | 0.00339% |
-| `ted_pl` | `parlament` | 691 | 0.00175% |
-| `ted_pl` | `rozporządzenie` | 4,275 | 0.01080% |
-| `ted_pl` | `w pobliżu` | 18 | 0.00005% |
-| `ted_pl` | `mieszkańców` | 487 | 0.00123% |
-| `ted_pl` | `Dz.U.` | 4,202 | 0.01062% |
-| `wiadomosci_statystyczne_pl` | `w roku` | 52 | 0.00345% |
-| `wiadomosci_statystyczne_pl` | `klasyfikacji` | 122 | 0.00810% |
-| `wiadomosci_statystyczne_pl` | `ustawa` | 38 | 0.00252% |
-| `wiadomosci_statystyczne_pl` | `artykuł` | 322 | 0.02138% |
-| `wiadomosci_statystyczne_pl` | `parlament` | 29 | 0.00193% |
-| `wiadomosci_statystyczne_pl` | `rozporządzenie` | 54 | 0.00359% |
-| `wiadomosci_statystyczne_pl` | `w pobliżu` | 2 | 0.00013% |
-| `wiadomosci_statystyczne_pl` | `mieszkańców` | 227 | 0.01507% |
-| `wiadomosci_statystyczne_pl` | `Dz.U.` | 46 | 0.00305% |
-| `wikibooks` | `w roku` | 311 | 0.00204% |
+| `parliamentary` | `w roku` | 198,192 | 0.01203% |
+| `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
+| `parliamentary` | `ustawa` | 459,179 | 0.02788% |
+| `parliamentary` | `artykuł` | 182,038 | 0.01105% |
+| `parliamentary` | `parlament` | 309,695 | 0.01881% |
+| `parliamentary` | `rozporządzenie` | 113,547 | 0.00689% |
+| `parliamentary` | `w pobliżu` | 4,964 | 0.00030% |
+| `parliamentary` | `mieszkańców` | 78,048 | 0.00474% |
+| `parliamentary` | `Dz.U.` | 23,809 | 0.00145% |
+| `samorzad_gov_pl` | `w roku` | 3,661 | 0.00890% |
+| `samorzad_gov_pl` | `klasyfikacji` | 520 | 0.00126% |
+| `samorzad_gov_pl` | `ustawa` | 1,823 | 0.00443% |
+| `samorzad_gov_pl` | `artykuł` | 1,269 | 0.00308% |
+| `samorzad_gov_pl` | `parlament` | 1,218 | 0.00296% |
+| `samorzad_gov_pl` | `rozporządzenie` | 1,409 | 0.00342% |
+| `samorzad_gov_pl` | `w pobliżu` | 401 | 0.00097% |
+| `samorzad_gov_pl` | `mieszkańców` | 14,450 | 0.03511% |
+| `samorzad_gov_pl` | `Dz.U.` | 1,380 | 0.00335% |
+| `wikibooks` | `w roku` | 319 | 0.00205% |
 | `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
-| `wikibooks` | `ustawa` | 164 | 0.00108% |
-| `wikibooks` | `artykuł` | 721 | 0.00474% |
-| `wikibooks` | `parlament` | 281 | 0.00185% |
-| `wikibooks` | `rozporządzenie` | 131 | 0.00086% |
-| `wikibooks` | `w pobliżu` | 122 | 0.00080% |
-| `wikibooks` | `mieszkańców` | 199 | 0.00131% |
-| `wikibooks` | `Dz.U.` | 16 | 0.00011% |
-| `wikinews` | `w roku` | 449 | 0.00409% |
-| `wikinews` | `klasyfikacji` | 638 | 0.00582% |
-| `wikinews` | `ustawa` | 389 | 0.00355% |
-| `wikinews` | `artykuł` | 2,462 | 0.02245% |
-| `wikinews` | `parlament` | 2,064 | 0.01882% |
-| `wikinews` | `rozporządzenie` | 168 | 0.00153% |
-| `wikinews` | `w pobliżu` | 455 | 0.00415% |
-| `wikinews` | `mieszkańców` | 1,011 | 0.00922% |
-| `wikinews` | `Dz.U.` | 27 | 0.00025% |
-| `wikipedia` | `w roku` | 157,059 | 0.01280% |
-| `wikipedia` | `klasyfikacji` | 79,082 | 0.00645% |
-| `wikipedia` | `ustawa` | 15,755 | 0.00128% |
-| `wikipedia` | `artykuł` | 43,982 | 0.00358% |
-| `wikipedia` | `parlament` | 80,390 | 0.00655% |
-| `wikipedia` | `rozporządzenie` | 9,008 | 0.00073% |
-| `wikipedia` | `w pobliżu` | 55,953 | 0.00456% |
-| `wikipedia` | `mieszkańców` | 179,796 | 0.01465% |
-| `wikipedia` | `Dz.U.` | 515 | 0.00004% |
-| `wikivoyage` | `w roku` | 460 | 0.00327% |
-| `wikivoyage` | `klasyfikacji` | 15 | 0.00011% |
-| `wikivoyage` | `ustawa` | 29 | 0.00021% |
-| `wikivoyage` | `artykuł` | 616 | 0.00437% |
-| `wikivoyage` | `parlament` | 154 | 0.00109% |
-| `wikivoyage` | `rozporządzenie` | 31 | 0.00022% |
-| `wikivoyage` | `w pobliżu` | 5,865 | 0.04164% |
-| `wikivoyage` | `mieszkańców` | 2,883 | 0.02047% |
-| `wikivoyage` | `Dz.U.` | 0 | 0.00000% |
-| `wiktionary_examples` | `w roku` | 7 | 0.00338% |
-| `wiktionary_examples` | `klasyfikacji` | 1 | 0.00048% |
-| `wiktionary_examples` | `ustawa` | 3 | 0.00145% |
-| `wiktionary_examples` | `artykuł` | 12 | 0.00579% |
-| `wiktionary_examples` | `parlament` | 1 | 0.00048% |
-| `wiktionary_examples` | `rozporządzenie` | 1 | 0.00048% |
-| `wiktionary_examples` | `w pobliżu` | 6 | 0.00290% |
-| `wiktionary_examples` | `mieszkańców` | 4 | 0.00193% |
-| `wiktionary_examples` | `Dz.U.` | 0 | 0.00000% |
-| `wolne_lektury` | `w roku` | 1,921 | 0.00209% |
-| `wolne_lektury` | `klasyfikacji` | 79 | 0.00009% |
-| `wolne_lektury` | `ustawa` | 1,016 | 0.00111% |
-| `wolne_lektury` | `artykuł` | 1,835 | 0.00200% |
-| `wolne_lektury` | `parlament` | 676 | 0.00074% |
-| `wolne_lektury` | `rozporządzenie` | 117 | 0.00013% |
-| `wolne_lektury` | `w pobliżu` | 1,931 | 0.00211% |
-| `wolne_lektury` | `mieszkańców` | 1,573 | 0.00172% |
-| `wolne_lektury` | `Dz.U.` | 5 | 0.00001% |
+| `wikibooks` | `ustawa` | 165 | 0.00106% |
+| `wikibooks` | `artykuł` | 732 | 0.00470% |
+| `wikibooks` | `parlament` | 283 | 0.00182% |
+| `wikibooks` | `rozporządzenie` | 131 | 0.00084% |
+| `wikibooks` | `w pobliżu` | 125 | 0.00080% |
+| `wikibooks` | `mieszkańców` | 204 | 0.00131% |
+| `wikibooks` | `Dz.U.` | 16 | 0.00010% |
+| `wikinews` | `w roku` | 449 | 0.00370% |
+| `wikinews` | `klasyfikacji` | 639 | 0.00526% |
+| `wikinews` | `ustawa` | 407 | 0.00335% |
+| `wikinews` | `artykuł` | 2,474 | 0.02038% |
+| `wikinews` | `parlament` | 2,530 | 0.02084% |
+| `wikinews` | `rozporządzenie` | 168 | 0.00138% |
+| `wikinews` | `w pobliżu` | 455 | 0.00375% |
+| `wikinews` | `mieszkańców` | 1,014 | 0.00835% |
+| `wikinews` | `Dz.U.` | 27 | 0.00022% |
+| `wikipedia` | `w roku` | 143,023 | 0.02022% |
+| `wikipedia` | `klasyfikacji` | 46,043 | 0.00651% |
+| `wikipedia` | `ustawa` | 9,536 | 0.00135% |
+| `wikipedia` | `artykuł` | 28,165 | 0.00398% |
+| `wikipedia` | `parlament` | 57,863 | 0.00818% |
+| `wikipedia` | `rozporządzenie` | 5,637 | 0.00080% |
+| `wikipedia` | `w pobliżu` | 41,915 | 0.00593% |
+| `wikipedia` | `mieszkańców` | 122,766 | 0.01736% |
+| `wikipedia` | `Dz.U.` | 232 | 0.00003% |
+| `wikiquote` | `w roku` | 608 | 0.00191% |
+| `wikiquote` | `klasyfikacji` | 15 | 0.00005% |
+| `wikiquote` | `ustawa` | 357 | 0.00112% |
+| `wikiquote` | `artykuł` | 606 | 0.00190% |
+| `wikiquote` | `parlament` | 1,271 | 0.00398% |
+| `wikiquote` | `rozporządzenie` | 27 | 0.00008% |
+| `wikiquote` | `w pobliżu` | 207 | 0.00065% |
+| `wikiquote` | `mieszkańców` | 527 | 0.00165% |
+| `wikiquote` | `Dz.U.` | 6 | 0.00002% |
+| `wikisource` | `w roku` | 16,571 | 0.00207% |
+| `wikisource` | `klasyfikacji` | 166 | 0.00002% |
+| `wikisource` | `ustawa` | 8,156 | 0.00102% |
+| `wikisource` | `artykuł` | 16,230 | 0.00202% |
+| `wikisource` | `parlament` | 6,119 | 0.00076% |
+| `wikisource` | `rozporządzenie` | 1,651 | 0.00021% |
+| `wikisource` | `w pobliżu` | 13,921 | 0.00174% |
+| `wikisource` | `mieszkańców` | 14,335 | 0.00179% |
+| `wikisource` | `Dz.U.` | 5 | 0.00000% |
+| `wikivoyage` | `w roku` | 609 | 0.00356% |
+| `wikivoyage` | `klasyfikacji` | 21 | 0.00012% |
+| `wikivoyage` | `ustawa` | 46 | 0.00027% |
+| `wikivoyage` | `artykuł` | 657 | 0.00384% |
+| `wikivoyage` | `parlament` | 249 | 0.00145% |
+| `wikivoyage` | `rozporządzenie` | 34 | 0.00020% |
+| `wikivoyage` | `w pobliżu` | 6,480 | 0.03783% |
+| `wikivoyage` | `mieszkańców` | 4,100 | 0.02394% |
+| `wikivoyage` | `Dz.U.` | 1 | 0.00001% |
+| `wolne_lektury` | `w roku` | 1,898 | 0.00184% |
+| `wolne_lektury` | `klasyfikacji` | 80 | 0.00008% |
+| `wolne_lektury` | `ustawa` | 1,060 | 0.00103% |
+| `wolne_lektury` | `artykuł` | 1,824 | 0.00177% |
+| `wolne_lektury` | `parlament` | 672 | 0.00065% |
+| `wolne_lektury` | `rozporządzenie` | 128 | 0.00012% |
+| `wolne_lektury` | `w pobliżu` | 2,073 | 0.00201% |
+| `wolne_lektury` | `mieszkańców` | 1,658 | 0.00161% |
+| `wolne_lektury` | `Dz.U.` | 5 | 0.00000% |
 
 ![Overall pattern counts](artifacts/pattern_frequency_overall.png)
 

artifacts/common_voice_pl_language_audit.json

@@ -0,0 +1,57 @@
+{
+  "protocol": "langid.py constrained to pl,en,de,cs,sk,uk,ru,fr",
+  "interpretation_limit": "Short and archaic Polish sentences can be misclassified; this audit is evidence, not an automatic exclusion rule.",
+  "population_rows": 45043,
+  "sample_method": "lowest sha256(language-audit:<id>)",
+  "sample_rows": 5000,
+  "language_counts": {
+    "de": 2,
+    "en": 13,
+    "pl": 4985
+  },
+  "polish_share": 0.997,
+  "high_confidence_non_polish_examples": [
+    {
+      "id": "common_voice_pl_1da2469d4482c5a8b7451bcefcd11524c01c1a75af6b7524fae159e38c107afc",
+      "language": "en",
+      "confidence": 0.9869612260680103,
+      "text": "Co Jurand na to powie?"
+    },
+    {
+      "id": "common_voice_pl_c7075bcb641111707f91fd1320141b7f38eab6f81c84d53e231b96b7ce91b1dd",
+      "language": "en",
+      "confidence": 0.9594204784447719,
+      "text": "Diana Wallis"
+    },
+    {
+      "id": "common_voice_pl_bf1385eddd5da209a9d2f7318c405ba6e34418af4da756fb27415d83e9194311",
+      "language": "en",
+      "confidence": 0.998238339390609,
+      "text": "- Buruburu, ten stary portier."
+    },
+    {
+      "id": "common_voice_pl_d2504e622883977b5ca1d43e384908038931314af890df209dd0854826c5abba",
+      "language": "de",
+      "confidence": 0.9997776236889044,
+      "text": "Nie denerwuj mnie."
+    }
+  ],
+  "character_length": {
+    "min": 12,
+    "p10": 25.0,
+    "p50": 56.0,
+    "p90": 95.0,
+    "p99": 119.0,
+    "max": 153,
+    "mean": 58.54627800102125
+  },
+  "token_count": {
+    "min": 3,
+    "p10": 10.0,
+    "p50": 21.0,
+    "p90": 35.0,
+    "p99": 44.0,
+    "max": 59,
+    "mean": 22.088271207512822
+  }
+}

artifacts/common_voice_pl_ontology_manifest.json

@@ -0,0 +1,463 @@
+{
+  "actors": [
+    {
+      "id": "hf:PiotrSty",
+      "identifiers": {
+        "github": "PiotrStyla",
+        "hugging_face": "PiotrSty"
+      },
+      "identity": "Piotr Styła",
+      "kind": "human"
+    },
+    {
+      "id": "org:mozilla-data-collective",
+      "identifiers": {
+        "dataset_id": "cmqinmu2a00winq07gyrtri0q"
+      },
+      "identity": "Mozilla Data Collective",
+      "kind": "organization"
+    },
+    {
+      "id": "agent:codex",
+      "identifiers": {},
+      "identity": "OpenAI Codex",
+      "kind": "agent"
+    }
+  ],
+  "attestations": [
+    {
+      "actor_id": "hf:PiotrSty",
+      "created_at": "2026-09-05T12:00:00Z",
+      "id": "slayer://attestation/common_voice_pl/schema_valid@sha256:3d798daf66ef446b3acf626dce26ad3434f789e105b5a83e2942cad4a6b4f1f3",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "supported_by": [
+        "slayer://evidence/common_voice_pl/schema_validation@sha256:d931b5710b6b58dc8dc8a0f46e9b3cf8b7652d2d6a339c1d9c2e28cf02eaf844",
+        "slayer://evidence/common_voice_pl/artifact_checksums@sha256:a750f1356bf04f1c45047d5fabe7331b5bc8c7060f8ac2e3a69d7945e26648b2"
+      ],
+      "type": "schema_valid",
+      "value": true
+    },
+    {
+      "actor_id": "hf:PiotrSty",
+      "created_at": "2026-09-05T12:00:00Z",
+      "id": "slayer://attestation/common_voice_pl/license_status@sha256:0577a1236ade031e6b1f80d49d80cc4254222307c40366b6eda43fe05473f0f7",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "supported_by": [
+        "slayer://evidence/common_voice_pl/license_metadata@sha256:9d2ca832386649731f552f1721ff8c0e9811cea6a45f1eac5fa65d455ea49cf8"
+      ],
+      "type": "license_status",
+      "value": "documented_cc0_1_0"
+    },
+    {
+      "actor_id": "hf:PiotrSty",
+      "created_at": "2026-09-05T12:00:00Z",
+      "id": "slayer://attestation/common_voice_pl/cross_source_deduplication@sha256:f06e8ea90508754266d0aabae688e6a418cd897c489491bd6cae286163e44e85",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "supported_by": [
+        "slayer://evidence/common_voice_pl/target_registry_check@sha256:8897861e9a850e239f08e098759adb1f5a8c36bc6e9bc15782e86b6509321578"
+      ],
+      "type": "cross_source_deduplication",
+      "value": "pending_target_integration"
+    }
+  ],
+  "claim_evidence": [
+    {
+      "claim_id": "slayer://claim/common_voice_pl@sha256:ad1af527fc2ff42895293153486ae7f25efd75d7e75fcd8a9d7f6fefd4954beb",
+      "evidence_id": "slayer://evidence/common_voice_pl/dataset_record_counts@sha256:05d20035652774e58d383e259ffc155afa6d7fc9934d283955ca34d5f10d13d8",
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "relation": "SUPPORTS"
+    },
+    {
+      "claim_id": "slayer://claim/common_voice_pl@sha256:ad1af527fc2ff42895293153486ae7f25efd75d7e75fcd8a9d7f6fefd4954beb",
+      "evidence_id": "slayer://evidence/common_voice_pl/schema_validation@sha256:d931b5710b6b58dc8dc8a0f46e9b3cf8b7652d2d6a339c1d9c2e28cf02eaf844",
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "relation": "SUPPORTS"
+    },
+    {
+      "claim_id": "slayer://claim/common_voice_pl@sha256:df7da8964a490434eeeccc6994fabaaea2340047d82d8d50e60558fa7bf26c9f",
+      "evidence_id": "slayer://evidence/common_voice_pl/license_metadata@sha256:9d2ca832386649731f552f1721ff8c0e9811cea6a45f1eac5fa65d455ea49cf8",
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "relation": "SUPPORTS"
+    },
+    {
+      "claim_id": "slayer://claim/common_voice_pl@sha256:f9b072f22fb89c277b6ccecc170669b442f60b756338052344fac6801ee1a5b0",
+      "evidence_id": "slayer://evidence/common_voice_pl/direct_metadata_exclusion@sha256:428ce405d4434ba0388ce312d26ec6b3d2a8a94fbc2237c50d71e68247f1e932",
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "relation": "SUPPORTS"
+    },
+    {
+      "claim_id": "slayer://claim/common_voice_pl@sha256:f9b072f22fb89c277b6ccecc170669b442f60b756338052344fac6801ee1a5b0",
+      "evidence_id": "slayer://evidence/common_voice_pl/schema_validation@sha256:d931b5710b6b58dc8dc8a0f46e9b3cf8b7652d2d6a339c1d9c2e28cf02eaf844",
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "relation": "SUPPORTS"
+    },
+    {
+      "claim_id": "slayer://claim/common_voice_pl@sha256:2149a11a99e9585180e9c5776fe8589dc54e535511fb31a2687c18cec69c51a7",
+      "evidence_id": "slayer://evidence/common_voice_pl/target_registry_check@sha256:8897861e9a850e239f08e098759adb1f5a8c36bc6e9bc15782e86b6509321578",
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "relation": "SUPPORTS"
+    }
+  ],
+  "claims": [
+    {
+      "asserted_by": "hf:PiotrSty",
+      "falsification_condition": "A retained normalized key occurs more than once or an accepted key is absent without a recorded rejection.",
+      "id": "slayer://claim/common_voice_pl@sha256:ad1af527fc2ff42895293153486ae7f25efd75d7e75fcd8a9d7f6fefd4954beb",
+      "scope": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "statement": "The artifact contains one retained row per within-source normalized sentence after the recorded filters.",
+      "supported_by": [
+        "slayer://evidence/common_voice_pl/dataset_record_counts@sha256:05d20035652774e58d383e259ffc155afa6d7fc9934d283955ca34d5f10d13d8",
+        "slayer://evidence/common_voice_pl/schema_validation@sha256:d931b5710b6b58dc8dc8a0f46e9b3cf8b7652d2d6a339c1d9c2e28cf02eaf844"
+      ]
+    },
+    {
+      "asserted_by": "hf:PiotrSty",
+      "falsification_condition": "The pinned records or official dataset terms identify a conflicting license.",
+      "id": "slayer://claim/common_voice_pl@sha256:df7da8964a490434eeeccc6994fabaaea2340047d82d8d50e60558fa7bf26c9f",
+      "scope": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "statement": "The pinned source records and official dataset page identify the selected material as CC0-1.0.",
+      "supported_by": [
+        "slayer://evidence/common_voice_pl/license_metadata@sha256:9d2ca832386649731f552f1721ff8c0e9811cea6a45f1eac5fa65d455ea49cf8"
+      ]
+    },
+    {
+      "asserted_by": "hf:PiotrSty",
+      "falsification_condition": "A forbidden direct-source metadata field is present in the Parquet or attribution sidecar.",
+      "id": "slayer://claim/common_voice_pl@sha256:f9b072f22fb89c277b6ccecc170669b442f60b756338052344fac6801ee1a5b0",
+      "scope": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "statement": "No source client identifier, demographic field, path or audio payload is included in the published projection.",
+      "supported_by": [
+        "slayer://evidence/common_voice_pl/direct_metadata_exclusion@sha256:428ce405d4434ba0388ce312d26ec6b3d2a8a94fbc2237c50d71e68247f1e932",
+        "slayer://evidence/common_voice_pl/schema_validation@sha256:d931b5710b6b58dc8dc8a0f46e9b3cf8b7652d2d6a339c1d9c2e28cf02eaf844"
+      ]
+    },
+    {
+      "asserted_by": "hf:PiotrSty",
+      "falsification_condition": "The source key exists in the pinned pre-contribution registry or this contribution asserts completed cross-source deduplication.",
+      "id": "slayer://claim/common_voice_pl@sha256:2149a11a99e9585180e9c5776fe8589dc54e535511fb31a2687c18cec69c51a7",
+      "scope": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "statement": "The source key was absent from the pinned DynaWord registry before this contribution; corpus-wide novelty is not asserted.",
+      "supported_by": [
+        "slayer://evidence/common_voice_pl/target_registry_check@sha256:8897861e9a850e239f08e098759adb1f5a8c36bc6e9bc15782e86b6509321578"
+      ]
+    }
+  ],
+  "evidence": [
+    {
+      "id": "slayer://evidence/common_voice_pl/dataset_record_counts@sha256:05d20035652774e58d383e259ffc155afa6d7fc9934d283955ca34d5f10d13d8",
+      "observation_type": "dataset_record_counts",
+      "observed_at": "2026-09-05T12:00:00Z",
+      "payload": {
+        "accepted_source_sentence_ids": 45136,
+        "added": "2026-09-05",
+        "authors_with_value": 45043,
+        "by_sentence_domain": {
+          "agriculture_food": 2,
+          "finance": 3,
+          "finance,technology_robotics": 1,
+          "general": 2,
+          "unspecified": 45035
+        },
+        "chars": 2637100,
+        "collapsed_accepted_rows": 91198,
+        "created_max": "2026-06-12",
+        "created_min": "2026-06-12",
+        "cross_source_exact_dedup_completed": false,
+        "cross_source_near_dedup_completed": false,
+        "drop_by_reason_source_rows": {
+          "too_long": 19,
+          "too_short": 2538
+        },
+        "kept": 45043,
+        "license": "CC0-1.0",
+        "licenses": {
+          "CC0-1.0": 45043
+        },
+        "normalized_unique_sentences": 45043,
+        "rejected_source_rows": 2557,
+        "source": "common_voice_pl",
+        "source_parquet_path": "data/validated/common_voice_scripted_speech_26_0__pl__cmqinmu2a00winq07gyrtri0q.parquet",
+        "source_parquet_sha256": "abd846a0411d04cf88920161100625e9cbe64a111d17474ac49375f490dafb3a",
+        "source_parquet_size": 4481707510,
+        "source_repository": "Peacockery/common-voice-scripted-speech-26",
+        "source_revision": "b4d8b94d43831475de59a455345acf6945cfd66e",
+        "source_rows": 138798,
+        "stats_recomputed_from_output_rows": true,
+        "target_base_revision": "a916edecabc2be8832e08fb2bd9dfafcc1d2dd71",
+        "tokens": 994922,
+        "upstream_dataset_id": "cmqinmu2a00winq07gyrtri0q",
+        "upstream_version": "26.0",
+        "whitespace_words": 379819
+      },
+      "run_id": "common-voice-pl-v26-20260905T120000Z",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+    },
+    {
+      "id": "slayer://evidence/common_voice_pl/artifact_checksums@sha256:a750f1356bf04f1c45047d5fabe7331b5bc8c7060f8ac2e3a69d7945e26648b2",
+      "observation_type": "artifact_checksums",
+      "observed_at": "2026-09-05T12:00:00Z",
+      "payload": {
+        "attribution_sha256": "9988cdaaf406193ec07d5936ee875f640212fc78599e615b497a3fbf3a66867d",
+        "language_audit_sha256": "3f4a645fc79a7a9f8bec3affee76745ebe5cd58bc8c17f8c971a2f9aed805926",
+        "license_evidence_sha256": "5053b342b18733a8d5871299e947bbb88206acf8d31b97784352b9b67977fcde",
+        "parquet_sha256": "2c22fb1be8badb75f55c0f1f6719360ab50dc798054a7673d67b2780c41858b2",
+        "sample_sha256": "73a1a35319744c9c125c51599520a01b467c304a4c6f313d2bb6a7ca696fe474",
+        "stats_sha256": "a98e21f6ecc4d71afda11e184afad67db13b141d0e2ec65f1d484ae17a301b5a"
+      },
+      "run_id": "common-voice-pl-v26-20260905T120000Z",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+    },
+    {
+      "id": "slayer://evidence/common_voice_pl/license_metadata@sha256:9d2ca832386649731f552f1721ff8c0e9811cea6a45f1eac5fa65d455ea49cf8",
+      "observation_type": "license_metadata",
+      "observed_at": "2026-09-05T12:00:00Z",
+      "payload": {
+        "artifact": "data/common_voice_pl/common_voice_pl.license-evidence.json",
+        "license": "CC0-1.0",
+        "mirror_revision": "b4d8b94d43831475de59a455345acf6945cfd66e",
+        "official_dataset": "https://mozilladatacollective.com/datasets/cmqinmu2a00winq07gyrtri0q",
+        "source_parquet_sha256": "abd846a0411d04cf88920161100625e9cbe64a111d17474ac49375f490dafb3a",
+        "source_parquet_size": 4481707510
+      },
+      "run_id": "common-voice-pl-v26-20260905T120000Z",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+    },
+    {
+      "id": "slayer://evidence/common_voice_pl/direct_metadata_exclusion@sha256:428ce405d4434ba0388ce312d26ec6b3d2a8a94fbc2237c50d71e68247f1e932",
+      "observation_type": "direct_metadata_exclusion",
+      "observed_at": "2026-09-05T12:00:00Z",
+      "payload": {
+        "excluded_columns": [
+          "audio",
+          "client_id",
+          "age",
+          "gender",
+          "accents",
+          "variant",
+          "path"
+        ],
+        "selected_direct_identifiers": 0,
+        "text_filter_drop_counts": {
+          "too_long": 19,
+          "too_short": 2538
+        }
+      },
+      "run_id": "common-voice-pl-v26-20260905T120000Z",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+    },
+    {
+      "id": "slayer://evidence/common_voice_pl/target_registry_check@sha256:8897861e9a850e239f08e098759adb1f5a8c36bc6e9bc15782e86b6509321578",
+      "observation_type": "target_registry_check",
+      "observed_at": "2026-09-05T12:00:00Z",
+      "payload": {
+        "cross_source_exact_dedup_completed": false,
+        "cross_source_near_dedup_completed": false,
+        "source_key_absent_before_contribution": true,
+        "target": "hf://datasets/SlayerLab/polish-dynaword@a916edecabc2be8832e08fb2bd9dfafcc1d2dd71"
+      },
+      "run_id": "common-voice-pl-v26-20260905T120000Z",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+    },
+    {
+      "id": "slayer://evidence/common_voice_pl/schema_validation@sha256:d931b5710b6b58dc8dc8a0f46e9b3cf8b7652d2d6a339c1d9c2e28cf02eaf844",
+      "observation_type": "schema_validation",
+      "observed_at": "2026-09-05T12:00:00Z",
+      "payload": {
+        "records": 45043,
+        "schema": [
+          "id",
+          "text",
+          "source",
+          "added",
+          "created",
+          "token_count",
+          "license",
+          "author"
+        ],
+        "valid": true
+      },
+      "run_id": "common-voice-pl-v26-20260905T120000Z",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+    },
+    {
+      "id": "slayer://evidence/common_voice_pl/language_audit@sha256:f1184203a8049961d2c5a57c13564f7cb5ac3a32c84e1c1f7b3681e51c6837c9",
+      "observation_type": "language_audit",
+      "observed_at": "2026-09-05T12:00:00Z",
+      "payload": {
+        "artifact": "artifacts/common_voice_pl_language_audit.json",
+        "interpretation_limit": "Short and archaic Polish sentences can be misclassified; this audit is evidence, not an automatic exclusion rule.",
+        "polish_share": 0.997,
+        "sample_rows": 5000,
+        "sha256": "3f4a645fc79a7a9f8bec3affee76745ebe5cd58bc8c17f8c971a2f9aed805926"
+      },
+      "run_id": "common-voice-pl-v26-20260905T120000Z",
+      "subject_version": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+    }
+  ],
+  "object": {
+    "id": "slayer://object/dataset-source/common_voice_pl",
+    "kind": "dataset_source",
+    "metadata": {
+      "domain": "spoken/scripted",
+      "language": "pl",
+      "provider": "Mozilla Data Collective"
+    },
+    "name": "common_voice_pl"
+  },
+  "ontology_version": "slayer.ai/research-ontology/v0.1",
+  "protocol": {
+    "id": "slayer://object/protocol/common_voice_pl-text-projection",
+    "kind": "dataset_filtering",
+    "name": "common_voice_pl-text-projection",
+    "specification": {
+      "deduplication": "casefolded punctuation-insensitive exact key within source",
+      "entrypoint": "python src/fetch_common_voice_pl.py",
+      "normalization": "Unicode NFKC and whitespace collapse",
+      "quality_filters": [
+        "length",
+        "control characters",
+        "HTML",
+        "URL",
+        "email",
+        "phone-like",
+        "PESEL-like",
+        "letter ratio"
+      ],
+      "selection": {
+        "columns_excluded": [
+          "audio",
+          "client_id",
+          "age",
+          "gender",
+          "accents",
+          "variant",
+          "path"
+        ],
+        "language": "Polish",
+        "locale": "pl",
+        "split": "validated"
+      },
+      "source_path": "src/fetch_common_voice_pl.py",
+      "tokenizer": "cl100k_base"
+    },
+    "version": {
+      "code_sha256": "f448649c52e947e5cdbf0ca0bc7e9502dc1427405d78c944c08d2fa2810fc842",
+      "created_at": "2026-09-05T12:00:00Z",
+      "created_by": "hf:PiotrSty",
+      "digest": "sha256:8d74ca15c0a1584b8ba094ae8926fbeddfbd0490fb1b096a25d21acda1912d05",
+      "id": "slayer://version/protocol/common_voice_pl-text-projection@sha256:8d74ca15c0a1584b8ba094ae8926fbeddfbd0490fb1b096a25d21acda1912d05",
+      "object_id": "slayer://object/protocol/common_voice_pl-text-projection",
+      "payload_uri": "hf://datasets/PiotrSty/common-voice-pl-text@2e3e62d374df8cad50e443a356e2c2bec86e10b4/src/fetch_common_voice_pl.py",
+      "schema_version": "slayer.ai/protocol/v1"
+    }
+  },
+  "relations": [
+    {
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "predicate": "DERIVED_FROM",
+      "source_version_id": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "target_version_id": "hf://datasets/Peacockery/common-voice-scripted-speech-26@b4d8b94d43831475de59a455345acf6945cfd66e"
+    },
+    {
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "predicate": "MIRRORS",
+      "source_version_id": "hf://datasets/Peacockery/common-voice-scripted-speech-26@b4d8b94d43831475de59a455345acf6945cfd66e",
+      "target_version_id": "mdc://dataset/cmqinmu2a00winq07gyrtri0q@26.0"
+    },
+    {
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "predicate": "FILTERED_BY",
+      "source_version_id": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "target_version_id": "slayer://version/protocol/common_voice_pl-text-projection@sha256:8d74ca15c0a1584b8ba094ae8926fbeddfbd0490fb1b096a25d21acda1912d05"
+    },
+    {
+      "introduced_by_run": "common-voice-pl-v26-20260905T120000Z",
+      "predicate": "COMPATIBLE_WITH",
+      "source_version_id": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+      "target_version_id": "hf://datasets/SlayerLab/polish-dynaword@a916edecabc2be8832e08fb2bd9dfafcc1d2dd71"
+    }
+  ],
+  "run": {
+    "actor_id": "hf:PiotrSty",
+    "config": {
+      "deduplication": "casefolded punctuation-insensitive exact key within source",
+      "entrypoint": "python src/fetch_common_voice_pl.py",
+      "normalization": "Unicode NFKC and whitespace collapse",
+      "quality_filters": [
+        "length",
+        "control characters",
+        "HTML",
+        "URL",
+        "email",
+        "phone-like",
+        "PESEL-like",
+        "letter ratio"
+      ],
+      "selection": {
+        "columns_excluded": [
+          "audio",
+          "client_id",
+          "age",
+          "gender",
+          "accents",
+          "variant",
+          "path"
+        ],
+        "language": "Polish",
+        "locale": "pl",
+        "split": "validated"
+      },
+      "source_path": "src/fetch_common_voice_pl.py",
+      "tokenizer": "cl100k_base"
+    },
+    "environment": {
+      "determinism": {
+        "sampling": "hash-ranked sample only",
+        "seed": "sha256(sample:id)"
+      },
+      "machine": "AMD64",
+      "packages": {
+        "duckdb": "1.5.5",
+        "pyarrow": "25.0.1",
+        "tiktoken": "0.14.0"
+      },
+      "platform": "Windows-10-10.0.26200-SP0",
+      "python": "3.11.9 (tags/v3.11.9:de54cf5, Apr  2 2024, 10:12:12) [MSC v.1938 64 bit (AMD64)]"
+    },
+    "finished_at": "2026-09-05T12:00:00Z",
+    "git_commit": "2e3e62d374df8cad50e443a356e2c2bec86e10b4",
+    "id": "common-voice-pl-v26-20260905T120000Z",
+    "inputs": [
+      {
+        "role": "official_upstream",
+        "version_id": "mdc://dataset/cmqinmu2a00winq07gyrtri0q@26.0"
+      },
+      {
+        "role": "access_mirror",
+        "version_id": "hf://datasets/Peacockery/common-voice-scripted-speech-26@b4d8b94d43831475de59a455345acf6945cfd66e"
+      },
+      {
+        "role": "target_base",
+        "version_id": "hf://datasets/SlayerLab/polish-dynaword@a916edecabc2be8832e08fb2bd9dfafcc1d2dd71"
+      }
+    ],
+    "outputs": [
+      {
+        "role": "dataset_source",
+        "version_id": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545"
+      }
+    ],
+    "protocol_version_id": "slayer://version/protocol/common_voice_pl-text-projection@sha256:8d74ca15c0a1584b8ba094ae8926fbeddfbd0490fb1b096a25d21acda1912d05",
+    "started_at": "2026-09-05T12:00:00Z"
+  },
+  "schema_version": "slayer.ai/dataset-source-contribution/v1",
+  "version": {
+    "created_at": "2026-09-05T12:00:00Z",
+    "created_by": "hf:PiotrSty",
+    "digest": "sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+    "id": "slayer://version/dataset-source/common_voice_pl@sha256:097ceddeda1333d9a400bbfcbfac885cc9b9b62760c752da1bfd3f8f41225545",
+    "object_id": "slayer://object/dataset-source/common_voice_pl",
+    "payload_uri": "hf://datasets/PiotrSty/common-voice-pl-text@2e3e62d374df8cad50e443a356e2c2bec86e10b4/data/train-00000-of-00001.parquet",
+    "schema_version": "slayer.ai/dataset-source/v1"
+  }
+}

artifacts/edukacja_medialna_pl_ontology_manifest.json

@@ -1,484 +0,0 @@
-{
-  "actors": [
-    {
-      "id": "hf:PiotrSty",
-      "name": "Piotr Styla",
-      "type": "human"
-    },
-    {
-      "id": "agent:codex",
-      "name": "OpenAI Codex",
-      "type": "agent"
-    },
-    {
-      "id": "org:fnp",
-      "name": "Fundacja Nowoczesna Polska",
-      "type": "organization"
-    }
-  ],
-  "attestations": [
-    {
-      "type": "cross_source_deduplication",
-      "value": "pending_target_integration"
-    },
-    {
-      "type": "benchmark_overlap",
-      "value": "pending"
-    }
-  ],
-  "claims": [
-    {
-      "falsification_condition": "A retained record lacks either required license signal.",
-      "id": "claim:licensed-records",
-      "statement": "Every retained record passed the explicit page and XML CC BY-SA 3.0 gate.",
-      "supported_by": [
-        "evidence:checksums:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
-        "evidence:qa:31651600f3fdbd7fead125374f64ed1bd689a5f7fa14389f4d888b858cbeb8f5"
-      ]
-    },
-    {
-      "falsification_condition": "Controlled mix ablations show no relevant improvement or harmful style contamination.",
-      "id": "claim:diversity-hypothesis",
-      "statement": "This instructional media-literacy source may diversify a legal-heavy Polish pretraining mix.",
-      "status": "untested",
-      "supported_by": []
-    }
-  ],
-  "evidence": [
-    {
-      "append_only": true,
-      "id": "evidence:checksums:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
-      "observation_type": "checksums",
-      "payload": {
-        "NOTICE.md": "ca0ab465674b4d8b2e5db4a1c6d25a5565893b2e48803cf36b319bac3f3461fd",
-        "README.md": "4efd1ded246566b38668f1e6617dd1692d9f7f1bf7a8cbf0a1d2abdb73b47198",
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-        "exact_normalized_dedup": true,
-        "license_gate": "explicit CC BY-SA 3.0 required in lesson page and source XML",
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-          "remaining inline third-party excerpts require review",
-          "pattern checks are not comprehensive de-identification"
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-        }
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-        ]
-      },
-      "started_at": "2026-09-06T15:33:10.477789+00:00",
-      "stats": {
-        "acquired": 255,
-        "added": "2026-09-06",
-        "author_coverage": 1.0,
-        "characters": 2033576,
-        "discovered": 255,
-        "kept": 252,
-        "rejected": 3,
-        "sample_count": 12,
-        "tokens": 728987
-      },
-      "success": true
-    },
-    {
-      "code_sha256": "79fcbb1d7018cac395e3dd405ad907e5043482c6e4cf6f1d1b4611f05fc05f78",
-      "finished_at": "2026-09-06T15:45:04.834732+00:00",
-      "id": "run:validation:0bfcd53334db42b0c23eaeac7485ee45a055ac45dd51288de45206c2259f5b08",
-      "result": "local contract validation passed",
-      "started_at": "2026-09-06T15:45:04.834732+00:00",
-      "success": true
-    }
-  ],
-  "schema_version": "slayer-research-ontology/0.1-profile",
-  "versions": [
-    {
-      "digest": "sha256:9bca86eeedc6f04b29ecab5e704112aecd70eb88426b3b676ea7ee8101254a69",
-      "id": "version:source:9bca86eeedc6f04b29ecab5e704112aecd70eb88426b3b676ea7ee8101254a69",
-      "immutable": true,
-      "object_id": "object:edukacja-medialna-source"
-    },
-    {
-      "digest": "sha256:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
-      "id": "version:data:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
-      "immutable": true,
-      "object_id": "object:edukacja-medialna-derived"
-    }
-  ]
-}

artifacts/kultura_bez_barier_pl_ontology_manifest.json

@@ -1,334 +0,0 @@
-{
-  "actors": [
-    {
-      "id": "actor:piotrsty",
-      "type": "Contributor"
-    },
-    {
-      "id": "actor:fundacja-kultury-bez-barier",
-      "type": "Organization"
-    },
-    {
-      "id": "actor:codex",
-      "type": "Agent"
-    }
-  ],
-  "claims": [
-    {
-      "falsification_condition": "A published checksum differs or the builder cannot reproduce retained text from the pinned raw PDFs.",
-      "id": "claim:replayable",
-      "statement": "The retained dataset files replay from the pinned catalogue and PDF snapshot under the published protocol.",
-      "supported_by": [
-        "evidence:checksums:a03df6c651c3b37cd2d9d6264f5edf2194f8d47cfd63b1b2b2f507558a8a28a8"
-      ]
-    },
-    {
-      "falsification_condition": "The pinned catalogue lacks that declaration or a selected file is outside its demonstrated scope.",
-      "id": "claim:rights-qualified",
-      "statement": "The official catalogue presents the linked foundation-authored publications as CC BY-SA 3.0; per-PDF embedded licensing is not asserted.",
-      "supported_by": [
-        "evidence:qa:5c3b4f16abc604614e14388f5c11dd051c4452ff815f79cdb8365f687ecc290e"
-      ]
-    }
-  ],
-  "evidence": [
-    {
-      "id": "evidence:checksums:99aefe134f168e718b685ddd6c7b7cd722ff56b66afa3ed27742fc827c02a922",
-      "observation_type": "checksums",
-      "payload": {
-        "NOTICE.md": "69db282ba649ab9d7dee2d52cee24005b046fdf3371198642ecbb15f6d110d12",
-        "README.md": "04ff8ca176daa3b7a5ca926c1ee9c0f9aa481d05c9f7b68e074ca91c98cb1d77",
-        "artifacts/attribution.jsonl": "4e592737d4d9c93a67c6437d5ad3881e92f8fb9aec62064eaaa84625144cf538",
-        "artifacts/catalog.html": "7bc2a7c995dd67a58e592e63311a53f5bebe0c2c580ca403574437a3254253bf",
-        "artifacts/decisions.jsonl": "edc18820ed6819721650d59d530375246daa32e86fd7ff6e66d8bcada08ea16e",
-        "artifacts/inventory.json": "496bd4655b15e9573e346fc6322b42a59b40739580fc249c9b318e0c91d9acc5",
-        "artifacts/qa.json": "3946eb001b0f43248a54256099ff98021cf14eec4e9e94c402210f88563ead58",
-        "artifacts/raw/abc_gosc_niepelnosprawny.pdf": "8918966789ed103efca9c2272363ff7ea51e703bb90585633f16e6198dbe6ff6",
-        "artifacts/raw/abc_gosc_niepelnosprawny_cz2.pdf": "ad16b7ed02fb1aebd03c640d52c1baf664b6f7e77e013230985e5902c4dffcf1",
-        "artifacts/raw/audiodeskrypcja_obrazow.pdf": "ee6b90bf064f3ab9affc5a2568bc28a89a519a9a1cf87506ed1e0b877cba0664",
-        "artifacts/raw/audiodeskrypcja_zasady.pdf": "ada6db63e05aa2f4dd3474d1f7c7a41b74fd10c19de335015d40eb814ecba97f",
-        "artifacts/raw/checklisty_warsztaty_kulinarne.pdf": "ca8b0adbe3142fdad18bac76b35e1406b3ed020a556c26a3187efdc1d5f31095",
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artifacts/open_agh_chemistry_pl_ontology_manifest.json

@@ -1,677 +0,0 @@
-{
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-      "identity": "OpenAI Codex",
-      "kind": "agent"
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-      "kind": "human"
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-      "kind": "organization"
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-      "relation": "SUPPORTS"
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-      "statement": "Every discovered module has a selection decision and each retained text and token count replay from the snapshot.",
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-      "id": "slayer://claim/open_agh_chemistry_pl@sha256:5dc442db888e5aee35391cbf45c5830b779eca4a052ab79985c6b997d12fece7",
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-      "statement": "A dedicated AGH registration/proposal was not identified in the audited registry and discussion titles; textual novelty remains untested.",
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-      "observation_type": "checksums",
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artifacts/open_icm_pl_ontology_manifest.json

@@ -1,190 +0,0 @@
-{
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-      "supported_by": [
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-      "id": "claim:open-icm-licence-basis",
-      "statement": "Every record of the slice carries a licence basis: the text prints the licence (file_note) or a publisher page states it (publisher, read 2026-10-20).",
-      "supported_by": [
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-      "observation_type": "checksums",
-      "payload": {
-        "data/open_icm_pl/open_icm_pl.attribution.jsonl": "4b490d4505f226317435dd11069c0b071a5e58d497e42e151818439a62c4dfa3",
-        "data/open_icm_pl/open_icm_pl.licence-basis.json": "1f3df27ad104feac062fc4264c5393dbcd5f6abc8502ddacd0690fff2fbca6cb",
-        "data/open_icm_pl/open_icm_pl.parquet": "8a5e2cdbd3bb5575907d2d14e740316b1df010fd24d8c230bf779b5a6f9aa399",
-        "data/open_icm_pl/open_icm_pl.publisher-check.json": "df988ed8ee92db30c8d39babebf513faa795eed3b902a876e60d65bdf7394039",
-        "data/open_icm_pl/open_icm_pl.review.csv": "f98a7dc73181b746e91a6033291a944599fc88cb69ce51a2c235c35cf647873a",
-        "data/open_icm_pl/open_icm_pl.sample.jsonl": "8f79168ad93142aefeb159f0d527a89ad55e1c21971a0320222c51bdbf839ce0",
-        "data/open_icm_pl/open_icm_pl.stats.json": "cbee968cc2368b2185dd56fa661fb2e10c29634bac51d46a0ed2d82e38321f14",
-        "src/licence_basis_open_icm_pl.py": "2f94bea5e89b14223f76fadcb23a37f1a9bb68462821f910a9e26253b666f242",
-        "src/test_licence_basis_open_icm_pl.py": "75a97c39ea3b85ea32363665660df24b7531e04076c5c5292e358921b5d03577"
-      },
-      "produced_by": "run:open-icm-licence-basis:cac1f127d9ed0a35c0a39fcb3dfade7ee7a3387274eab224fb0add3894352777"
-    }
-  ],
-  "objects": [
-    {
-      "id": "object:dataset:open-icm-pl-pilot",
-      "type": "Dataset"
-    },
-    {
-      "id": "object:dataset:open-icm-pl-dynaword-slice",
-      "type": "Dataset"
-    }
-  ],
-  "pending": [
-    "cross-source text deduplication",
-    "benchmark contamination check",
-    "review of quoted third-party text",
-    "controlled training ablation",
-    "licence at the time of publication for the 9 publisher-basis records: the statements were read on 2026-10-20 and a publisher may have applied them to back issues later; 3 are journal-level; 1 names no version (v2#111)"
-  ],
-  "protocols": [
-    {
-      "id": "protocol:open-icm-dynaword-integration-v1",
-      "procedure": "exclude source-QA failures and exact normalized-title or DOI overlaps with pinned biblioteka_nauki; preserve attribution and pending text-level gates"
-    },
-    {
-      "id": "protocol:licence-basis-v1",
-      "procedure": "src/licence_basis_open_icm_pl.py: drop the records the pinned review table marks (printed NC/ND licence; no publisher statement found, readable or CC), set `license` to the publisher's statement where it differs, add licence_basis per kept record; recompute Parquet, sidecar, sample, stats, evidence file, checksums and manifest"
-    }
-  ],
-  "relations": [
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:open-icm-pl-dynaword:11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31",
-      "target": "hf:dataset:PiotrSty/open-icm-pl-publications@c4a20022e6947f55f82c3354bb5c86609ba681b8"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:open-icm-pl-dynaword:11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31",
-      "target": "run:open-icm-dynaword-integration:49bfaa6003187e9089ef804aa5ca1bd196bf75925443fab1f352fe0cef19ea0c"
-    },
-    {
-      "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:open-icm-pl-dynaword:11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31",
-      "target": "hf:dataset:SlayerLab/polish-dynaword@fe44303ea2db290c7a195264226477f724973357"
-    },
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:open-icm-pl-dynaword:8a5e2cdbd3bb5575907d2d14e740316b1df010fd24d8c230bf779b5a6f9aa399",
-      "target": "version:dataset:open-icm-pl-dynaword:11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:open-icm-pl-dynaword:8a5e2cdbd3bb5575907d2d14e740316b1df010fd24d8c230bf779b5a6f9aa399",
-      "target": "run:open-icm-licence-basis:cac1f127d9ed0a35c0a39fcb3dfade7ee7a3387274eab224fb0add3894352777"
-    }
-  ],
-  "runs": [
-    {
-      "actor": "actor:codex",
-      "finished_at": "2026-09-10T16:47:55.647670+00:00",
-      "id": "run:open-icm-dynaword-integration:49bfaa6003187e9089ef804aa5ca1bd196bf75925443fab1f352fe0cef19ea0c",
-      "protocol": "protocol:open-icm-dynaword-integration-v1",
-      "started_at": "2026-09-10T16:47:55.647670+00:00",
-      "stats": {
-        "added": "2026-09-10",
-        "author_coverage": 1.0,
-        "characters": 6219019,
-        "kept": 85,
-        "license_counts": {
-          "CC-BY-3.0-PL": 32,
-          "CC-BY-4.0": 7,
-          "CC-BY-SA-3.0": 1,
-          "CC-BY-SA-3.0-PL": 38,
-          "CC-BY-SA-4.0": 7
-        },
-        "sample_count": 12,
-        "source_pilot_acquired": 100,
-        "source_pilot_kept": 95,
-        "target_overlap_excluded": 10,
-        "target_revision": "fe44303ea2db290c7a195264226477f724973357",
-        "tokens": 2358174
-      },
-      "success": true
-    },
-    {
-      "finished_at": "2026-10-20T11:02:44.313957+00:00",
-      "id": "run:open-icm-licence-basis:cac1f127d9ed0a35c0a39fcb3dfade7ee7a3387274eab224fb0add3894352777",
-      "protocol": "protocol:licence-basis-v1",
-      "started_at": "2026-10-20T11:02:43.869085+00:00",
-      "success": true
-    }
-  ],
-  "schema": "slayer-research-ontology-profile-v1",
-  "versions": [
-    {
-      "content_address": "c4a20022e6947f55f82c3354bb5c86609ba681b8",
-      "id": "hf:dataset:PiotrSty/open-icm-pl-publications@c4a20022e6947f55f82c3354bb5c86609ba681b8",
-      "object": "object:dataset:open-icm-pl-pilot"
-    },
-    {
-      "content_address": "11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31",
-      "id": "version:dataset:open-icm-pl-dynaword:11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31",
-      "object": "object:dataset:open-icm-pl-dynaword-slice"
-    },
-    {
-      "content_address": "8a5e2cdbd3bb5575907d2d14e740316b1df010fd24d8c230bf779b5a6f9aa399",
-      "id": "version:dataset:open-icm-pl-dynaword:8a5e2cdbd3bb5575907d2d14e740316b1df010fd24d8c230bf779b5a6f9aa399",
-      "object": "object:dataset:open-icm-pl-dynaword-slice"
-    }
-  ]
-}

artifacts/pattern_frequency_hf_snippet.md

@@ -1,32 +1,41 @@
 ## Phrase frequency in corpus (token-normalized)
 
-- Total token count (tiktoken proxy): **7,036,938,603**
+- Total token count (tiktoken proxy): **9,639,062,573**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 457,031 | 0.0065% |
-| `klasyfikacji` | 169,748 | 0.0024% |
-| `ustawa` | 664,616 | 0.0094% |
-| `artykuł` | 3,423,411 | 0.0486% |
-| `parlament` | 1,284,768 | 0.0183% |
-| `rozporządzenie` | 1,515,578 | 0.0215% |
-| `w pobliżu` | 81,258 | 0.0012% |
-| `mieszkańców` | 337,033 | 0.0048% |
-| `Dz.U.` | 979,489 | 0.0139% |
+| `w roku` | 585,072 | 0.0061% |
+| `klasyfikacji` | 164,757 | 0.0017% |
+| `ustawa` | 659,103 | 0.0068% |
+| `artykuł` | 2,416,361 | 0.0251% |
+| `parlament` | 1,285,792 | 0.0133% |
+| `rozporządzenie` | 1,527,456 | 0.0158% |
+| `w pobliżu` | 127,784 | 0.0013% |
+| `mieszkańców` | 476,710 | 0.0049% |
+| `Dz.U.` | 987,048 | 0.0102% |
 
 ### Per-source shares
 
 | source | pattern | count | share of source tokens |
 |---|---|---:|---:|
-| `biblioteka_nauki` | `w roku` | 24,639 | 0.00417% |
-| `biblioteka_nauki` | `klasyfikacji` | 7,192 | 0.00122% |
-| `biblioteka_nauki` | `ustawa` | 45,001 | 0.00762% |
-| `biblioteka_nauki` | `artykuł` | 84,189 | 0.01425% |
-| `biblioteka_nauki` | `parlament` | 29,217 | 0.00494% |
-| `biblioteka_nauki` | `rozporządzenie` | 18,331 | 0.00310% |
-| `biblioteka_nauki` | `w pobliżu` | 2,783 | 0.00047% |
-| `biblioteka_nauki` | `mieszkańców` | 30,702 | 0.00520% |
-| `biblioteka_nauki` | `Dz.U.` | 31,913 | 0.00540% |
+| `1000_novels` | `w roku` | 659 | 0.00109% |
+| `1000_novels` | `klasyfikacji` | 14 | 0.00002% |
+| `1000_novels` | `ustawa` | 656 | 0.00108% |
+| `1000_novels` | `artykuł` | 729 | 0.00120% |
+| `1000_novels` | `parlament` | 240 | 0.00040% |
+| `1000_novels` | `rozporządzenie` | 65 | 0.00011% |
+| `1000_novels` | `w pobliżu` | 1,262 | 0.00209% |
+| `1000_novels` | `mieszkańców` | 868 | 0.00143% |
+| `1000_novels` | `Dz.U.` | 0 | 0.00000% |
+| `biblioteka_nauki` | `w roku` | 28,728 | 0.00427% |
+| `biblioteka_nauki` | `klasyfikacji` | 9,045 | 0.00134% |
+| `biblioteka_nauki` | `ustawa` | 48,791 | 0.00724% |
+| `biblioteka_nauki` | `artykuł` | 91,241 | 0.01355% |
+| `biblioteka_nauki` | `parlament` | 32,868 | 0.00488% |
+| `biblioteka_nauki` | `rozporządzenie` | 19,594 | 0.00291% |
+| `biblioteka_nauki` | `w pobliżu` | 3,378 | 0.00050% |
+| `biblioteka_nauki` | `mieszkańców` | 34,392 | 0.00511% |
+| `biblioteka_nauki` | `Dz.U.` | 33,098 | 0.00491% |
 | `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
 | `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
 | `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
@@ -36,51 +45,51 @@
 | `dziennik_ustaw` | `w pobliżu` | 1,087 | 0.00022% |
 | `dziennik_ustaw` | `mieszkańców` | 8,025 | 0.00165% |
 | `dziennik_ustaw` | `Dz.U.` | 158 | 0.00003% |
-| `edukacja_medialna_pl` | `w roku` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `klasyfikacji` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `ustawa` | 31 | 0.00435% |
-| `edukacja_medialna_pl` | `artykuł` | 167 | 0.02342% |
-| `edukacja_medialna_pl` | `parlament` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `w pobliżu` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `mieszkańców` | 10 | 0.00140% |
-| `edukacja_medialna_pl` | `Dz.U.` | 0 | 0.00000% |
 | `eltec_pol` | `w roku` | 108 | 0.00050% |
 | `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
 | `eltec_pol` | `ustawa` | 153 | 0.00071% |
-| `eltec_pol` | `artykuł` | 174 | 0.00081% |
+| `eltec_pol` | `artykuł` | 173 | 0.00081% |
 | `eltec_pol` | `parlament` | 95 | 0.00044% |
 | `eltec_pol` | `rozporządzenie` | 35 | 0.00016% |
 | `eltec_pol` | `w pobliżu` | 246 | 0.00114% |
 | `eltec_pol` | `mieszkańców` | 214 | 0.00100% |
 | `eltec_pol` | `Dz.U.` | 0 | 0.00000% |
-| `eurlex` | `w roku` | 39,642 | 0.00170% |
-| `eurlex` | `klasyfikacji` | 57,321 | 0.00246% |
-| `eurlex` | `ustawa` | 30,329 | 0.00130% |
-| `eurlex` | `artykuł` | 1,774,561 | 0.07606% |
-| `eurlex` | `parlament` | 779,474 | 0.03341% |
-| `eurlex` | `rozporządzenie` | 1,200,341 | 0.05145% |
-| `eurlex` | `w pobliżu` | 5,754 | 0.00025% |
-| `eurlex` | `mieszkańców` | 9,389 | 0.00040% |
-| `eurlex` | `Dz.U.` | 914,962 | 0.03922% |
-| `global_voices` | `w roku` | 146 | 0.00423% |
-| `global_voices` | `klasyfikacji` | 4 | 0.00012% |
-| `global_voices` | `ustawa` | 148 | 0.00428% |
-| `global_voices` | `artykuł` | 913 | 0.02643% |
-| `global_voices` | `parlament` | 348 | 0.01008% |
-| `global_voices` | `rozporządzenie` | 23 | 0.00067% |
-| `global_voices` | `w pobliżu` | 90 | 0.00261% |
-| `global_voices` | `mieszkańców` | 463 | 0.01341% |
+| `eurlex` | `w roku` | 40,009 | 0.00168% |
+| `eurlex` | `klasyfikacji` | 59,428 | 0.00250% |
+| `eurlex` | `ustawa` | 30,368 | 0.00128% |
+| `eurlex` | `artykuł` | 1,774,958 | 0.07464% |
+| `eurlex` | `parlament` | 780,286 | 0.03281% |
+| `eurlex` | `rozporządzenie` | 1,202,658 | 0.05057% |
+| `eurlex` | `w pobliżu` | 6,088 | 0.00026% |
+| `eurlex` | `mieszkańców` | 9,441 | 0.00040% |
+| `eurlex` | `Dz.U.` | 915,707 | 0.03851% |
+| `european_hplt_v3_pl` | `w roku` | 113,501 | 0.00444% |
+| `european_hplt_v3_pl` | `klasyfikacji` | 24,675 | 0.00097% |
+| `european_hplt_v3_pl` | `ustawa` | 16,067 | 0.00063% |
+| `european_hplt_v3_pl` | `artykuł` | 283,875 | 0.01111% |
+| `european_hplt_v3_pl` | `parlament` | 45,516 | 0.00178% |
+| `european_hplt_v3_pl` | `rozporządzenie` | 11,841 | 0.00046% |
+| `european_hplt_v3_pl` | `w pobliżu` | 44,108 | 0.00173% |
+| `european_hplt_v3_pl` | `mieszkańców` | 172,896 | 0.00677% |
+| `european_hplt_v3_pl` | `Dz.U.` | 9,487 | 0.00037% |
+| `global_voices` | `w roku` | 160 | 0.00431% |
+| `global_voices` | `klasyfikacji` | 5 | 0.00013% |
+| `global_voices` | `ustawa` | 157 | 0.00423% |
+| `global_voices` | `artykuł` | 1,047 | 0.02818% |
+| `global_voices` | `parlament` | 366 | 0.00985% |
+| `global_voices` | `rozporządzenie` | 26 | 0.00070% |
+| `global_voices` | `w pobliżu` | 105 | 0.00283% |
+| `global_voices` | `mieszkańców` | 508 | 0.01367% |
 | `global_voices` | `Dz.U.` | 1 | 0.00003% |
-| `govpl` | `w roku` | 3,228 | 0.00473% |
-| `govpl` | `klasyfikacji` | 514 | 0.00075% |
-| `govpl` | `ustawa` | 4,562 | 0.00668% |
-| `govpl` | `artykuł` | 1,659 | 0.00243% |
-| `govpl` | `parlament` | 3,611 | 0.00529% |
-| `govpl` | `rozporządzenie` | 4,024 | 0.00589% |
-| `govpl` | `w pobliżu` | 649 | 0.00095% |
-| `govpl` | `mieszkańców` | 12,715 | 0.01862% |
-| `govpl` | `Dz.U.` | 2,921 | 0.00428% |
+| `govpl` | `w roku` | 3,372 | 0.00418% |
+| `govpl` | `klasyfikacji` | 526 | 0.00065% |
+| `govpl` | `ustawa` | 4,727 | 0.00586% |
+| `govpl` | `artykuł` | 2,417 | 0.00300% |
+| `govpl` | `parlament` | 3,967 | 0.00492% |
+| `govpl` | `rozporządzenie` | 4,102 | 0.00509% |
+| `govpl` | `w pobliżu` | 892 | 0.00111% |
+| `govpl` | `mieszkańców` | 13,105 | 0.01625% |
+| `govpl` | `Dz.U.` | 3,114 | 0.00386% |
 | `nkjp1m` | `w roku` | 109 | 0.00419% |
 | `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
 | `nkjp1m` | `ustawa` | 79 | 0.00304% |
@@ -90,177 +99,87 @@
 | `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
 | `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
 | `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
-| `nonsa` | `w roku` | 522 | 0.00338% |
-| `nonsa` | `klasyfikacji` | 100 | 0.00065% |
-| `nonsa` | `ustawa` | 70 | 0.00045% |
-| `nonsa` | `artykuł` | 3,009 | 0.01949% |
-| `nonsa` | `parlament` | 307 | 0.00199% |
-| `nonsa` | `rozporządzenie` | 14 | 0.00009% |
-| `nonsa` | `w pobliżu` | 316 | 0.00205% |
-| `nonsa` | `mieszkańców` | 1,167 | 0.00756% |
-| `nonsa` | `Dz.U.` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w roku` | 6 | 0.00106% |
-| `open_agh_chemistry_pl` | `klasyfikacji` | 9 | 0.00160% |
-| `open_agh_chemistry_pl` | `ustawa` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `artykuł` | 3 | 0.00053% |
-| `open_agh_chemistry_pl` | `parlament` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w pobliżu` | 17 | 0.00301% |
-| `open_agh_chemistry_pl` | `mieszkańców` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `Dz.U.` | 0 | 0.00000% |
-| `open_icm_pl` | `w roku` | 19 | 0.00430% |
-| `open_icm_pl` | `klasyfikacji` | 9 | 0.00204% |
-| `open_icm_pl` | `ustawa` | 30 | 0.00680% |
-| `open_icm_pl` | `artykuł` | 121 | 0.02741% |
-| `open_icm_pl` | `parlament` | 34 | 0.00770% |
-| `open_icm_pl` | `rozporządzenie` | 4 | 0.00091% |
-| `open_icm_pl` | `w pobliżu` | 0 | 0.00000% |
-| `open_icm_pl` | `mieszkańców` | 27 | 0.00612% |
-| `open_icm_pl` | `Dz.U.` | 14 | 0.00317% |
-| `parliamentary` | `w roku` | 174,916 | 0.01163% |
-| `parliamentary` | `klasyfikacji` | 10,872 | 0.00072% |
-| `parliamentary` | `ustawa` | 444,839 | 0.02957% |
-| `parliamentary` | `artykuł` | 176,400 | 0.01173% |
-| `parliamentary` | `parlament` | 297,729 | 0.01979% |
-| `parliamentary` | `rozporządzenie` | 104,305 | 0.00693% |
-| `parliamentary` | `w pobliżu` | 4,584 | 0.00030% |
-| `parliamentary` | `mieszkańców` | 73,641 | 0.00490% |
-| `parliamentary` | `Dz.U.` | 23,615 | 0.00157% |
-| `plwiki_talk` | `w roku` | 2,632 | 0.00474% |
-| `plwiki_talk` | `klasyfikacji` | 630 | 0.00113% |
-| `plwiki_talk` | `ustawa` | 1,365 | 0.00246% |
-| `plwiki_talk` | `artykuł` | 75,408 | 0.13571% |
-| `plwiki_talk` | `parlament` | 1,241 | 0.00223% |
-| `plwiki_talk` | `rozporządzenie` | 464 | 0.00084% |
-| `plwiki_talk` | `w pobliżu` | 421 | 0.00076% |
-| `plwiki_talk` | `mieszkańców` | 2,297 | 0.00413% |
-| `plwiki_talk` | `Dz.U.` | 289 | 0.00052% |
-| `plwiki_user_talk` | `w roku` | 2,439 | 0.00064% |
-| `plwiki_user_talk` | `klasyfikacji` | 1,213 | 0.00032% |
-| `plwiki_user_talk` | `ustawa` | 1,379 | 0.00036% |
-| `plwiki_user_talk` | `artykuł` | 1,211,479 | 0.31796% |
-| `plwiki_user_talk` | `parlament` | 2,043 | 0.00054% |
-| `plwiki_user_talk` | `rozporządzenie` | 618 | 0.00016% |
-| `plwiki_user_talk` | `w pobliżu` | 568 | 0.00015% |
-| `plwiki_user_talk` | `mieszkańców` | 2,755 | 0.00072% |
-| `plwiki_user_talk` | `Dz.U.` | 234 | 0.00006% |
-| `rock_pollub_pl` | `w roku` | 22 | 0.00187% |
-| `rock_pollub_pl` | `klasyfikacji` | 150 | 0.01273% |
-| `rock_pollub_pl` | `ustawa` | 21 | 0.00178% |
-| `rock_pollub_pl` | `artykuł` | 173 | 0.01469% |
-| `rock_pollub_pl` | `parlament` | 25 | 0.00212% |
-| `rock_pollub_pl` | `rozporządzenie` | 19 | 0.00161% |
-| `rock_pollub_pl` | `w pobliżu` | 4 | 0.00034% |
-| `rock_pollub_pl` | `mieszkańców` | 3 | 0.00025% |
-| `rock_pollub_pl` | `Dz.U.` | 12 | 0.00102% |
-| `sejm_api` | `w roku` | 2,002 | 0.00653% |
-| `sejm_api` | `klasyfikacji` | 125 | 0.00041% |
-| `sejm_api` | `ustawa` | 10,937 | 0.03570% |
-| `sejm_api` | `artykuł` | 749 | 0.00244% |
-| `sejm_api` | `parlament` | 14,159 | 0.04621% |
-| `sejm_api` | `rozporządzenie` | 1,088 | 0.00355% |
-| `sejm_api` | `w pobliżu` | 85 | 0.00028% |
-| `sejm_api` | `mieszkańców` | 2,689 | 0.00878% |
-| `sejm_api` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_api_2011_2022` | `w roku` | 2,592 | 0.00965% |
-| `sejm_api_2011_2022` | `klasyfikacji` | 50 | 0.00019% |
-| `sejm_api_2011_2022` | `ustawa` | 8,934 | 0.03325% |
-| `sejm_api_2011_2022` | `artykuł` | 1,079 | 0.00402% |
-| `sejm_api_2011_2022` | `parlament` | 11,246 | 0.04186% |
-| `sejm_api_2011_2022` | `rozporządzenie` | 689 | 0.00256% |
-| `sejm_api_2011_2022` | `w pobliżu` | 71 | 0.00026% |
-| `sejm_api_2011_2022` | `mieszkańców` | 2,109 | 0.00785% |
-| `sejm_api_2011_2022` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_committee_transcripts` | `w roku` | 6,980 | 0.00623% |
-| `sejm_committee_transcripts` | `klasyfikacji` | 282 | 0.00025% |
-| `sejm_committee_transcripts` | `ustawa` | 19,420 | 0.01734% |
-| `sejm_committee_transcripts` | `artykuł` | 13,837 | 0.01235% |
-| `sejm_committee_transcripts` | `parlament` | 18,245 | 0.01629% |
-| `sejm_committee_transcripts` | `rozporządzenie` | 5,255 | 0.00469% |
-| `sejm_committee_transcripts` | `w pobliżu` | 146 | 0.00013% |
-| `sejm_committee_transcripts` | `mieszkańców` | 4,129 | 0.00369% |
-| `sejm_committee_transcripts` | `Dz.U.` | 73 | 0.00007% |
-| `studia_bas` | `w roku` | 87 | 0.00386% |
-| `studia_bas` | `klasyfikacji` | 85 | 0.00377% |
-| `studia_bas` | `ustawa` | 312 | 0.01383% |
-| `studia_bas` | `artykuł` | 272 | 0.01206% |
-| `studia_bas` | `parlament` | 154 | 0.00683% |
-| `studia_bas` | `rozporządzenie` | 180 | 0.00798% |
-| `studia_bas` | `w pobliżu` | 8 | 0.00035% |
-| `studia_bas` | `mieszkańców` | 359 | 0.01591% |
-| `studia_bas` | `Dz.U.` | 476 | 0.02110% |
-| `ted_pl` | `w roku` | 3,586 | 0.00906% |
-| `ted_pl` | `klasyfikacji` | 311 | 0.00079% |
-| `ted_pl` | `ustawa` | 2,236 | 0.00565% |
-| `ted_pl` | `artykuł` | 1,342 | 0.00339% |
-| `ted_pl` | `parlament` | 691 | 0.00175% |
-| `ted_pl` | `rozporządzenie` | 4,275 | 0.01080% |
-| `ted_pl` | `w pobliżu` | 18 | 0.00005% |
-| `ted_pl` | `mieszkańców` | 487 | 0.00123% |
-| `ted_pl` | `Dz.U.` | 4,202 | 0.01062% |
-| `wiadomosci_statystyczne_pl` | `w roku` | 52 | 0.00345% |
-| `wiadomosci_statystyczne_pl` | `klasyfikacji` | 122 | 0.00810% |
-| `wiadomosci_statystyczne_pl` | `ustawa` | 38 | 0.00252% |
-| `wiadomosci_statystyczne_pl` | `artykuł` | 322 | 0.02138% |
-| `wiadomosci_statystyczne_pl` | `parlament` | 29 | 0.00193% |
-| `wiadomosci_statystyczne_pl` | `rozporządzenie` | 54 | 0.00359% |
-| `wiadomosci_statystyczne_pl` | `w pobliżu` | 2 | 0.00013% |
-| `wiadomosci_statystyczne_pl` | `mieszkańców` | 227 | 0.01507% |
-| `wiadomosci_statystyczne_pl` | `Dz.U.` | 46 | 0.00305% |
-| `wikibooks` | `w roku` | 311 | 0.00204% |
+| `parliamentary` | `w roku` | 198,192 | 0.01203% |
+| `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
+| `parliamentary` | `ustawa` | 459,179 | 0.02788% |
+| `parliamentary` | `artykuł` | 182,038 | 0.01105% |
+| `parliamentary` | `parlament` | 309,695 | 0.01881% |
+| `parliamentary` | `rozporządzenie` | 113,547 | 0.00689% |
+| `parliamentary` | `w pobliżu` | 4,964 | 0.00030% |
+| `parliamentary` | `mieszkańców` | 78,048 | 0.00474% |
+| `parliamentary` | `Dz.U.` | 23,809 | 0.00145% |
+| `samorzad_gov_pl` | `w roku` | 3,661 | 0.00890% |
+| `samorzad_gov_pl` | `klasyfikacji` | 520 | 0.00126% |
+| `samorzad_gov_pl` | `ustawa` | 1,823 | 0.00443% |
+| `samorzad_gov_pl` | `artykuł` | 1,269 | 0.00308% |
+| `samorzad_gov_pl` | `parlament` | 1,218 | 0.00296% |
+| `samorzad_gov_pl` | `rozporządzenie` | 1,409 | 0.00342% |
+| `samorzad_gov_pl` | `w pobliżu` | 401 | 0.00097% |
+| `samorzad_gov_pl` | `mieszkańców` | 14,450 | 0.03511% |
+| `samorzad_gov_pl` | `Dz.U.` | 1,380 | 0.00335% |
+| `wikibooks` | `w roku` | 319 | 0.00205% |
 | `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
-| `wikibooks` | `ustawa` | 164 | 0.00108% |
-| `wikibooks` | `artykuł` | 721 | 0.00474% |
-| `wikibooks` | `parlament` | 281 | 0.00185% |
-| `wikibooks` | `rozporządzenie` | 131 | 0.00086% |
-| `wikibooks` | `w pobliżu` | 122 | 0.00080% |
-| `wikibooks` | `mieszkańców` | 199 | 0.00131% |
-| `wikibooks` | `Dz.U.` | 16 | 0.00011% |
-| `wikinews` | `w roku` | 449 | 0.00409% |
-| `wikinews` | `klasyfikacji` | 638 | 0.00582% |
-| `wikinews` | `ustawa` | 389 | 0.00355% |
-| `wikinews` | `artykuł` | 2,462 | 0.02245% |
-| `wikinews` | `parlament` | 2,064 | 0.01882% |
-| `wikinews` | `rozporządzenie` | 168 | 0.00153% |
-| `wikinews` | `w pobliżu` | 455 | 0.00415% |
-| `wikinews` | `mieszkańców` | 1,011 | 0.00922% |
-| `wikinews` | `Dz.U.` | 27 | 0.00025% |
-| `wikipedia` | `w roku` | 157,059 | 0.01280% |
-| `wikipedia` | `klasyfikacji` | 79,082 | 0.00645% |
-| `wikipedia` | `ustawa` | 15,755 | 0.00128% |
-| `wikipedia` | `artykuł` | 43,982 | 0.00358% |
-| `wikipedia` | `parlament` | 80,390 | 0.00655% |
-| `wikipedia` | `rozporządzenie` | 9,008 | 0.00073% |
-| `wikipedia` | `w pobliżu` | 55,953 | 0.00456% |
-| `wikipedia` | `mieszkańców` | 179,796 | 0.01465% |
-| `wikipedia` | `Dz.U.` | 515 | 0.00004% |
-| `wikivoyage` | `w roku` | 460 | 0.00327% |
-| `wikivoyage` | `klasyfikacji` | 15 | 0.00011% |
-| `wikivoyage` | `ustawa` | 29 | 0.00021% |
-| `wikivoyage` | `artykuł` | 616 | 0.00437% |
-| `wikivoyage` | `parlament` | 154 | 0.00109% |
-| `wikivoyage` | `rozporządzenie` | 31 | 0.00022% |
-| `wikivoyage` | `w pobliżu` | 5,865 | 0.04164% |
-| `wikivoyage` | `mieszkańców` | 2,883 | 0.02047% |
-| `wikivoyage` | `Dz.U.` | 0 | 0.00000% |
-| `wiktionary_examples` | `w roku` | 7 | 0.00338% |
-| `wiktionary_examples` | `klasyfikacji` | 1 | 0.00048% |
-| `wiktionary_examples` | `ustawa` | 3 | 0.00145% |
-| `wiktionary_examples` | `artykuł` | 12 | 0.00579% |
-| `wiktionary_examples` | `parlament` | 1 | 0.00048% |
-| `wiktionary_examples` | `rozporządzenie` | 1 | 0.00048% |
-| `wiktionary_examples` | `w pobliżu` | 6 | 0.00290% |
-| `wiktionary_examples` | `mieszkańców` | 4 | 0.00193% |
-| `wiktionary_examples` | `Dz.U.` | 0 | 0.00000% |
-| `wolne_lektury` | `w roku` | 1,921 | 0.00209% |
-| `wolne_lektury` | `klasyfikacji` | 79 | 0.00009% |
-| `wolne_lektury` | `ustawa` | 1,016 | 0.00111% |
-| `wolne_lektury` | `artykuł` | 1,835 | 0.00200% |
-| `wolne_lektury` | `parlament` | 676 | 0.00074% |
-| `wolne_lektury` | `rozporządzenie` | 117 | 0.00013% |
-| `wolne_lektury` | `w pobliżu` | 1,931 | 0.00211% |
-| `wolne_lektury` | `mieszkańców` | 1,573 | 0.00172% |
-| `wolne_lektury` | `Dz.U.` | 5 | 0.00001% |
+| `wikibooks` | `ustawa` | 165 | 0.00106% |
+| `wikibooks` | `artykuł` | 732 | 0.00470% |
+| `wikibooks` | `parlament` | 283 | 0.00182% |
+| `wikibooks` | `rozporządzenie` | 131 | 0.00084% |
+| `wikibooks` | `w pobliżu` | 125 | 0.00080% |
+| `wikibooks` | `mieszkańców` | 204 | 0.00131% |
+| `wikibooks` | `Dz.U.` | 16 | 0.00010% |
+| `wikinews` | `w roku` | 449 | 0.00370% |
+| `wikinews` | `klasyfikacji` | 639 | 0.00526% |
+| `wikinews` | `ustawa` | 407 | 0.00335% |
+| `wikinews` | `artykuł` | 2,474 | 0.02038% |
+| `wikinews` | `parlament` | 2,530 | 0.02084% |
+| `wikinews` | `rozporządzenie` | 168 | 0.00138% |
+| `wikinews` | `w pobliżu` | 455 | 0.00375% |
+| `wikinews` | `mieszkańców` | 1,014 | 0.00835% |
+| `wikinews` | `Dz.U.` | 27 | 0.00022% |
+| `wikipedia` | `w roku` | 143,023 | 0.02022% |
+| `wikipedia` | `klasyfikacji` | 46,043 | 0.00651% |
+| `wikipedia` | `ustawa` | 9,536 | 0.00135% |
+| `wikipedia` | `artykuł` | 28,165 | 0.00398% |
+| `wikipedia` | `parlament` | 57,863 | 0.00818% |
+| `wikipedia` | `rozporządzenie` | 5,637 | 0.00080% |
+| `wikipedia` | `w pobliżu` | 41,915 | 0.00593% |
+| `wikipedia` | `mieszkańców` | 122,766 | 0.01736% |
+| `wikipedia` | `Dz.U.` | 232 | 0.00003% |
+| `wikiquote` | `w roku` | 608 | 0.00191% |
+| `wikiquote` | `klasyfikacji` | 15 | 0.00005% |
+| `wikiquote` | `ustawa` | 357 | 0.00112% |
+| `wikiquote` | `artykuł` | 606 | 0.00190% |
+| `wikiquote` | `parlament` | 1,271 | 0.00398% |
+| `wikiquote` | `rozporządzenie` | 27 | 0.00008% |
+| `wikiquote` | `w pobliżu` | 207 | 0.00065% |
+| `wikiquote` | `mieszkańców` | 527 | 0.00165% |
+| `wikiquote` | `Dz.U.` | 6 | 0.00002% |
+| `wikisource` | `w roku` | 16,571 | 0.00207% |
+| `wikisource` | `klasyfikacji` | 166 | 0.00002% |
+| `wikisource` | `ustawa` | 8,156 | 0.00102% |
+| `wikisource` | `artykuł` | 16,230 | 0.00202% |
+| `wikisource` | `parlament` | 6,119 | 0.00076% |
+| `wikisource` | `rozporządzenie` | 1,651 | 0.00021% |
+| `wikisource` | `w pobliżu` | 13,921 | 0.00174% |
+| `wikisource` | `mieszkańców` | 14,335 | 0.00179% |
+| `wikisource` | `Dz.U.` | 5 | 0.00000% |
+| `wikivoyage` | `w roku` | 609 | 0.00356% |
+| `wikivoyage` | `klasyfikacji` | 21 | 0.00012% |
+| `wikivoyage` | `ustawa` | 46 | 0.00027% |
+| `wikivoyage` | `artykuł` | 657 | 0.00384% |
+| `wikivoyage` | `parlament` | 249 | 0.00145% |
+| `wikivoyage` | `rozporządzenie` | 34 | 0.00020% |
+| `wikivoyage` | `w pobliżu` | 6,480 | 0.03783% |
+| `wikivoyage` | `mieszkańców` | 4,100 | 0.02394% |
+| `wikivoyage` | `Dz.U.` | 1 | 0.00001% |
+| `wolne_lektury` | `w roku` | 1,898 | 0.00184% |
+| `wolne_lektury` | `klasyfikacji` | 80 | 0.00008% |
+| `wolne_lektury` | `ustawa` | 1,060 | 0.00103% |
+| `wolne_lektury` | `artykuł` | 1,824 | 0.00177% |
+| `wolne_lektury` | `parlament` | 672 | 0.00065% |
+| `wolne_lektury` | `rozporządzenie` | 128 | 0.00012% |
+| `wolne_lektury` | `w pobliżu` | 2,073 | 0.00201% |
+| `wolne_lektury` | `mieszkańców` | 1,658 | 0.00161% |
+| `wolne_lektury` | `Dz.U.` | 5 | 0.00000% |
 
 ![Overall pattern counts](artifacts/pattern_frequency_overall.png)
 

artifacts/plwiki_talk_ontology_manifest.json

@@ -1,128 +0,0 @@
-{
-  "actors": [
-    {
-      "id": "actor:piotrsty",
-      "type": "Contributor"
-    },
-    {
-      "id": "actor:wikimedia",
-      "type": "Organization"
-    },
-    {
-      "id": "actor:devin",
-      "type": "Agent"
-    }
-  ],
-  "claims": [
-    {
-      "falsification_condition": "The pinned Parquet or decisions do not reproduce this count.",
-      "id": "claim:plw-talk-target-retention",
-      "statement": "The proposed DynaWord slice contains 43054 records.",
-      "supported_by": [
-        "evidence:plw-talk-target-stats:d2af18f1b2618d8ac166cc110976992e97052b28e2647c2143063aaf2ff5e1b4"
-      ]
-    },
-    {
-      "falsification_condition": "Target-wide text deduplication and controlled ablations establish those properties.",
-      "id": "claim:plw-talk-training-value-untested",
-      "statement": "Net text novelty and training benefit remain untested hypotheses; quoted-fragment overlap vs wikipedia is untested.",
-      "supported_by": [
-        "evidence:plw-talk-target-overlap:af980dd0047c9251573be63a6dcb28bc51a6eafa77d614d19e1be25b447cefca"
-      ]
-    }
-  ],
-  "evidence": [
-    {
-      "artifact": "data/plwiki_talk/plwiki_talk.stats.json",
-      "content_address": "d2af18f1b2618d8ac166cc110976992e97052b28e2647c2143063aaf2ff5e1b4",
-      "id": "evidence:plw-talk-target-stats:d2af18f1b2618d8ac166cc110976992e97052b28e2647c2143063aaf2ff5e1b4",
-      "observation_type": "target_slice_counts",
-      "produced_by": "run:plwiki-talk-dynaword-integration:d2af18f1b2618d8ac166cc110976992e97052b28e2647c2143063aaf2ff5e1b4"
-    },
-    {
-      "artifact": "data/plwiki_talk/plwiki_talk.overlap_audit.json",
-      "content_address": "af980dd0047c9251573be63a6dcb28bc51a6eafa77d614d19e1be25b447cefca",
-      "id": "evidence:plw-talk-target-overlap:af980dd0047c9251573be63a6dcb28bc51a6eafa77d614d19e1be25b447cefca",
-      "observation_type": "namespace_overlap_audit",
-      "produced_by": "run:plwiki-talk-dynaword-integration:d2af18f1b2618d8ac166cc110976992e97052b28e2647c2143063aaf2ff5e1b4"
-    }
-  ],
-  "objects": [
-    {
-      "id": "object:dataset:plwiki-talk",
-      "type": "Dataset"
-    },
-    {
-      "id": "object:dataset:plwiki-talk-dynaword-slice",
-      "type": "Dataset"
-    }
-  ],
-  "pending": [
-    "quoted-fragment dedup vs wikipedia shard",
-    "cross-source text deduplication",
-    "benchmark contamination check",
-    "abuse/vandalism screening",
-    "controlled training ablation"
-  ],
-  "protocols": [
-    {
-      "id": "protocol:plwiki-talk-dynaword-integration-v1",
-      "procedure": "carry over the source slice verbatim; namespace disjointness already audited vs wikipedia shard"
-    }
-  ],
-  "relations": [
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:plwiki-talk-dynaword:32e8100276998f8a1c9a531968ec554cc1372e3797c4f3b21532dc45f4629a59",
-      "target": "hf:dataset:PiotrSty/plwiki-talk-pages@20c74a6da0cbaef5d2a644d0accf7e90262ea24c"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:plwiki-talk-dynaword:32e8100276998f8a1c9a531968ec554cc1372e3797c4f3b21532dc45f4629a59",
-      "target": "run:plwiki-talk-dynaword-integration:d2af18f1b2618d8ac166cc110976992e97052b28e2647c2143063aaf2ff5e1b4"
-    },
-    {
-      "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:plwiki-talk-dynaword:32e8100276998f8a1c9a531968ec554cc1372e3797c4f3b21532dc45f4629a59",
-      "target": "hf:dataset:SlayerLab/polish-dynaword@fe44303ea2db290c7a195264226477f724973357"
-    }
-  ],
-  "runs": [
-    {
-      "actor": "actor:devin",
-      "finished_at": "2026-09-11T18:35:14.234988+00:00",
-      "id": "run:plwiki-talk-dynaword-integration:d2af18f1b2618d8ac166cc110976992e97052b28e2647c2143063aaf2ff5e1b4",
-      "protocol": "protocol:plwiki-talk-dynaword-integration-v1",
-      "started_at": "2026-09-11T18:35:14.234988+00:00",
-      "stats": {
-        "added": "2026-09-11",
-        "boilerplate_lines_removed": 1,
-        "characters": 144604697,
-        "dump_date": "20260901",
-        "kept": 43054,
-        "license_counts": {
-          "CC-BY-SA-4.0": 43054
-        },
-        "sample_count": 12,
-        "source_slice_kept": 43054,
-        "talk_pages": 544591,
-        "target_revision": "fe44303ea2db290c7a195264226477f724973357",
-        "tokens": 55568733
-      },
-      "success": true
-    }
-  ],
-  "schema": "slayer-research-ontology-profile-v1",
-  "versions": [
-    {
-      "content_address": "20c74a6da0cbaef5d2a644d0accf7e90262ea24c",
-      "id": "hf:dataset:PiotrSty/plwiki-talk-pages@20c74a6da0cbaef5d2a644d0accf7e90262ea24c",
-      "object": "object:dataset:plwiki-talk"
-    },
-    {
-      "content_address": "32e8100276998f8a1c9a531968ec554cc1372e3797c4f3b21532dc45f4629a59",
-      "id": "version:dataset:plwiki-talk-dynaword:32e8100276998f8a1c9a531968ec554cc1372e3797c4f3b21532dc45f4629a59",
-      "object": "object:dataset:plwiki-talk-dynaword-slice"
-    }
-  ]
-}

artifacts/plwiki_user_talk_ontology_manifest.json

@@ -1,128 +0,0 @@
-{
-  "actors": [
-    {
-      "id": "actor:piotrsty",
-      "type": "Contributor"
-    },
-    {
-      "id": "actor:wikimedia",
-      "type": "Organization"
-    },
-    {
-      "id": "actor:devin",
-      "type": "Agent"
-    }
-  ],
-  "claims": [
-    {
-      "falsification_condition": "The pinned Parquet or decisions do not reproduce this count.",
-      "id": "claim:plw-usertalk-target-retention",
-      "statement": "The proposed DynaWord slice contains 380527 records.",
-      "supported_by": [
-        "evidence:plw-usertalk-target-stats:905b95a96a242d4c4c292493cf80c4ff1cf67881548759ebe840dc1993f2a9dc"
-      ]
-    },
-    {
-      "falsification_condition": "Target-wide text deduplication and controlled ablations establish those properties.",
-      "id": "claim:plw-talk-training-value-untested",
-      "statement": "Net text novelty and training benefit remain untested hypotheses; quoted-fragment overlap vs wikipedia is untested.",
-      "supported_by": [
-        "evidence:plw-usertalk-target-overlap:07646d3e103fb1d39f119448102893683112e9cb83c4d638694b51e64fe1d0b4"
-      ]
-    }
-  ],
-  "evidence": [
-    {
-      "artifact": "data/plwiki_user_talk/plwiki_user_talk.stats.json",
-      "content_address": "905b95a96a242d4c4c292493cf80c4ff1cf67881548759ebe840dc1993f2a9dc",
-      "id": "evidence:plw-usertalk-target-stats:905b95a96a242d4c4c292493cf80c4ff1cf67881548759ebe840dc1993f2a9dc",
-      "observation_type": "target_slice_counts",
-      "produced_by": "run:plwiki-usertalk-dynaword-integration:905b95a96a242d4c4c292493cf80c4ff1cf67881548759ebe840dc1993f2a9dc"
-    },
-    {
-      "artifact": "data/plwiki_user_talk/plwiki_user_talk.overlap_audit.json",
-      "content_address": "07646d3e103fb1d39f119448102893683112e9cb83c4d638694b51e64fe1d0b4",
-      "id": "evidence:plw-usertalk-target-overlap:07646d3e103fb1d39f119448102893683112e9cb83c4d638694b51e64fe1d0b4",
-      "observation_type": "namespace_overlap_audit",
-      "produced_by": "run:plwiki-usertalk-dynaword-integration:905b95a96a242d4c4c292493cf80c4ff1cf67881548759ebe840dc1993f2a9dc"
-    }
-  ],
-  "objects": [
-    {
-      "id": "object:dataset:plwiki-user-talk",
-      "type": "Dataset"
-    },
-    {
-      "id": "object:dataset:plwiki-usertalk-dynaword-slice",
-      "type": "Dataset"
-    }
-  ],
-  "pending": [
-    "quoted-fragment dedup vs wikipedia shard",
-    "cross-source text deduplication",
-    "benchmark contamination check",
-    "abuse/vandalism screening",
-    "controlled training ablation"
-  ],
-  "protocols": [
-    {
-      "id": "protocol:plwiki-usertalk-dynaword-integration-v1",
-      "procedure": "carry over the source slice verbatim; namespace disjointness already audited vs wikipedia shard"
-    }
-  ],
-  "relations": [
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:plwiki-usertalk-dynaword:88a7d272937660976f5e8f6f86f833d6298432d77f4941248eb873bc7e305628",
-      "target": "hf:dataset:PiotrSty/plwiki-user-talk-pages@8d12dbc8134dcfe777937e75e562e1b58033f20a"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:plwiki-usertalk-dynaword:88a7d272937660976f5e8f6f86f833d6298432d77f4941248eb873bc7e305628",
-      "target": "run:plwiki-usertalk-dynaword-integration:905b95a96a242d4c4c292493cf80c4ff1cf67881548759ebe840dc1993f2a9dc"
-    },
-    {
-      "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:plwiki-usertalk-dynaword:88a7d272937660976f5e8f6f86f833d6298432d77f4941248eb873bc7e305628",
-      "target": "hf:dataset:SlayerLab/polish-dynaword@1564cb054434ba049cbd0d355a9bfaf044b6a852"
-    }
-  ],
-  "runs": [
-    {
-      "actor": "actor:devin",
-      "finished_at": "2026-09-28T06:30:03.288867+00:00",
-      "id": "run:plwiki-usertalk-dynaword-integration:905b95a96a242d4c4c292493cf80c4ff1cf67881548759ebe840dc1993f2a9dc",
-      "protocol": "protocol:plwiki-usertalk-dynaword-integration-v1",
-      "started_at": "2026-09-28T06:30:03.288867+00:00",
-      "stats": {
-        "added": "2026-09-11",
-        "boilerplate_lines_removed": 83,
-        "characters": 1020728459,
-        "dump_date": "20260901",
-        "kept": 380527,
-        "license_counts": {
-          "CC-BY-SA-4.0": 380527
-        },
-        "sample_count": 12,
-        "source_slice_kept": 380527,
-        "talk_pages": 450867,
-        "target_revision": "1564cb054434ba049cbd0d355a9bfaf044b6a852",
-        "tokens": 381445111
-      },
-      "success": true
-    }
-  ],
-  "schema": "slayer-research-ontology-profile-v1",
-  "versions": [
-    {
-      "content_address": "8d12dbc8134dcfe777937e75e562e1b58033f20a",
-      "id": "hf:dataset:PiotrSty/plwiki-user-talk-pages@8d12dbc8134dcfe777937e75e562e1b58033f20a",
-      "object": "object:dataset:plwiki-user-talk"
-    },
-    {
-      "content_address": "88a7d272937660976f5e8f6f86f833d6298432d77f4941248eb873bc7e305628",
-      "id": "version:dataset:plwiki-usertalk-dynaword:88a7d272937660976f5e8f6f86f833d6298432d77f4941248eb873bc7e305628",
-      "object": "object:dataset:plwiki-usertalk-dynaword-slice"
-    }
-  ]
-}

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-</style>
-
-<div class="wrap">
-
-<header style="display:flex;flex-direction:column;gap:14px">
-  <h1>Polish Dynaword rights audit</h1>
-  <div class="meta">
-    <span><b>Audited</b> 2026-10-04</span>
-    <span><b>main</b> <span class="mono">a108c2e</span> (37 sources with data)</span>
-    <span><b>v0.2.5</b> tag <span class="mono">7ae4ac7</span> (20 sources)</span>
-    <span><b>PR #21</b> <span class="mono">bd16dda</span> (<span class="mono">saos</span>)</span>
-    <span><b>Citations</b> <a href="reports/citations.md">reports/citations.md</a> (primary sources, 2026-10-05)</span>
-  </div>
-  <p class="lede prose">Every source on <code>main</code> and the pending SAOS PR, checked for the problem that removed HPLT: a licence that covers the packaging but not the underlying works. Each entry has the evidence, the fix, and a check that tells an agent when the fix is done.</p>
-</header>
-
-<section>
-  <h2>Why this audit</h2>
-  <div class="prose" style="display:flex;flex-direction:column;gap:12px">
-    <p>The paper (<code>polish-dynaword-v2/main.tex:46</code>) says:</p>
-    <blockquote>No source carries a NonCommercial licence, but the rights to HPLT's underlying web pages and to some 1000 Novels texts are unresolved</blockquote>
-    <p>That sentence is false for both <code>main</code> and v0.2.5. <code>openstax_pl</code> carries NonCommercial terms and an explicit ban on LLM training. Five sources already shipped in v0.2.5 have the HPLT problem: <code>wikisource</code>, <code>wikiquote</code>, <code>wiktionary_examples</code>, <code>1000_novels</code> and <code>nkjp1m</code>.</p>
-    <p><b>Failure classes tested.</b></p>
-    <ul>
-      <li>A packaging licence that doesn't cover the content (HPLT).</li>
-      <li>A compilation licence over third-party works (1000 Novels).</li>
-      <li>A uniform label over per-item licences.</li>
-      <li>NC/ND terms.</li>
-      <li>Intermediary snapshots with no chain of title.</li>
-      <li>Quotation-right content (Art. 29) presented as licensed.</li>
-      <li>Authors who died after 1955. Their works are still protected in Poland in 2026 (life + 70).</li>
-    </ul>
-    <p><span class="tag">V</span> verified against files, parquet or live upstream. <span class="tag">I</span> inferred. <span class="rel">v0.2.5</span> marks sources already in the published release.</p>
-  </div>
-</section>
-
-<section>
-  <h2>Decisions for the session</h2>
-  <p class="note">Ticks are local to your browser and not shared.</p>
-  <ol class="decide">
-    <li><label><input type="checkbox" id="d1">v0.2.5 ships five HPLT-class sources. Cut v0.2.6 without them, as was done for HPLT, or fix forward with rebuilds?</label></li>
-    <li><label><input type="checkbox" id="d2"><code>openstax_pl</code>: pull, or ask OpenStax Poland for written permission?</label></li>
-    <li><label><input type="checkbox" id="d3"><code>common_voice_pl</code>: withdraw, or keep the non-Europarl sentences?</label></li>
-    <li><label><input type="checkbox" id="d4"><code>nkjp1m</code>: remove, or write to IPI PAN first?</label></li>
-    <li><label><input type="checkbox" id="d5"><code>wikiquote</code>: drop, or screen per page by death year?</label></li>
-    <li><label><input type="checkbox" id="d6"><code>wikisource</code>, <code>wiktionary_examples</code>: withdraw now and re-add after the rebuild, or keep until the rebuild lands?</label></li>
-    <li><label><input type="checkbox" id="d7"><code>fandom_pl</code>: which wikis survive? Does the Fandom Terms of Use ban on scraping block the whole source?</label></li>
-    <li><label><input type="checkbox" id="d8"><code>parliamentary</code>: drop the committee docs or the whole source? The newer Sejm sources cover the same ground.</label></li>
-    <li><label><input type="checkbox" id="d9">SAOS PR #21: merge with <code>release: None</code> after the two notice fixes?</label></li>
-    <li><label><input type="checkbox" id="d10">Who writes to rights holders: IPI PAN, OpenStax Poland, KPRM/MC, UZP, SN and KIO? Agents can't send these.</label></li>
-    <li><label><input type="checkbox" id="d11">New wording for <code>main.tex:46</code> and the admission section.</label></li>
-  </ol>
-</section>
-
-<section>
-  <h2>Register</h2>
-  <div class="tablewrap">
-  <table>
-    <thead><tr><th>Source</th><th>v0.2.5</th><th>Registry licence</th><th>Proposed action</th></tr></thead>
-    <tbody>
-      <tr class="grp"><td colspan="4"><span class="pill p-hplt">HPLT-class</span>&nbsp; unresolved rights in the underlying works · 8</td></tr>
-      <tr><td><a href="#wikisource">wikisource</a></td><td>yes</td><td class="mono">CC-BY-SA-3.0</td><td>Rebuild from dump with death-year screen, or withdraw</td></tr>
-      <tr><td><a href="#wikiquote">wikiquote</a></td><td>yes</td><td class="mono">CC-BY-SA-3.0</td><td>Drop, or screen per page</td></tr>
-      <tr><td><a href="#wiktionary_examples">wiktionary_examples</a></td><td>yes</td><td class="mono">CC-BY-SA-3.0</td><td>Rebuild keeping uncited examples only</td></tr>
-      <tr><td><a href="#1000_novels">1000_novels</a></td><td>yes</td><td class="mono">CC-BY-4.0</td><td>Drop 17 + 143 rows, or relabel 17 and withhold 143</td></tr>
-      <tr><td><a href="#nkjp1m">nkjp1m</a></td><td>yes</td><td class="mono">CC-BY-4.0</td><td>Remove, or get written confirmation from IPI PAN</td></tr>
-      <tr><td><a href="#openstax_pl">openstax_pl</a></td><td>no</td><td class="mono">CC-BY-4.0</td><td>Pull: NonCommercial and LLM-training ban</td></tr>
-      <tr><td><a href="#common_voice_pl">common_voice_pl</a></td><td>no</td><td class="mono">CC0-1.0</td><td>Withdraw, or drop the 24,709 Europarl sentences</td></tr>
-      <tr><td><a href="#fandom_pl">fandom_pl</a></td><td>no</td><td class="mono">CC-BY-SA-3.0</td><td>Drop 6 wikis, sample 4, review Fandom ToU</td></tr>
-      <tr class="grp"><td colspan="4"><span class="pill p-part">Partial</span>&nbsp; remove a slice · 4</td></tr>
-      <tr><td><a href="#parliamentary">parliamentary</a></td><td>yes</td><td class="mono">CC-BY-4.0</td><td>Drop committee docs (59% of chars) or the source</td></tr>
-      <tr><td><a href="#samorzad_gov_pl">samorzad_gov_pl</a></td><td>yes</td><td class="mono">CC-BY-SA-4.0</td><td>Drop third-party subsets; get confirmation from KPRM/MC</td></tr>
-      <tr><td><a href="#sejm_committee_transcripts">sejm_committee_transcripts</a></td><td>no</td><td class="mono">LicenseRef-Polish-Official-Documents</td><td>Keep only official speakers</td></tr>
-      <tr><td><a href="#nonsa">nonsa</a></td><td>no</td><td class="mono">CC-BY-SA-3.0</td><td>Drop ns100 "Cytaty" and the <code>&lt;poem&gt;</code> docs</td></tr>
-      <tr class="grp"><td colspan="4"><span class="pill p-minor">Minor</span>&nbsp; labelling or provenance · 17</td></tr>
-      <tr><td><a href="#wikipedia">wikipedia</a></td><td>yes</td><td class="mono">CC-BY-SA-3.0</td><td>Rebuild from official dump; label 3.0/4.0</td></tr>
-      <tr><td><a href="#wikinews">wikinews</a></td><td>yes</td><td class="mono">CC-BY-2.5</td><td>Label 2.5/4.0 by edit date</td></tr>
-      <tr><td><a href="#wikivoyage">wikivoyage</a></td><td>yes</td><td class="mono">CC-BY-SA-3.0</td><td>Label 3.0/4.0 by revision date</td></tr>
-      <tr><td><a href="#wikibooks">wikibooks</a></td><td>yes</td><td class="mono">CC-BY-SA-3.0</td><td>Label 3.0/4.0; review 24 GFDL docs</td></tr>
-      <tr><td><a href="#plwiki_talk">plwiki_talk</a></td><td>no</td><td class="mono">CC-BY-SA-4.0</td><td>Label per record by revision date</td></tr>
-      <tr><td><a href="#plwiki_user_talk">plwiki_user_talk</a></td><td>no</td><td class="mono">CC-BY-SA-4.0</td><td>Label per record by revision date</td></tr>
-      <tr><td><a href="#wolne_lektury">wolne_lektury</a></td><td>yes</td><td class="mono">CC-BY-SA-4.0</td><td>Per-row licence from WL metadata</td></tr>
-      <tr><td><a href="#biblioteka_nauki">biblioteka_nauki</a></td><td>yes</td><td class="mono">MIXED</td><td>Keep licence versions; drop 3 "PD" records</td></tr>
-      <tr><td><a href="#eurlex">eurlex</a></td><td>yes</td><td class="mono">CC-BY-4.0</td><td>Relabel as EU reuse policy</td></tr>
-      <tr><td><a href="#govpl">govpl</a></td><td>yes</td><td class="mono">CC-BY-SA-4.0</td><td>Restore third-party carve-out; drop PAP docs; add URLs</td></tr>
-      <tr><td><a href="#global_voices">global_voices</a></td><td>yes</td><td class="mono">CC-BY-3.0</td><td>Drop 64 partner-republished docs</td></tr>
-      <tr><td><a href="#sejm_api">sejm_api</a></td><td>yes</td><td class="mono">LicenseRef-Polish-Official-Documents</td><td>State the intermediary snapshot</td></tr>
-      <tr><td><a href="#sejm_api_2011_2022">sejm_api_2011_2022</a></td><td>no</td><td class="mono">LicenseRef-Polish-Official-Documents</td><td>As sejm_api; dedup; NERGAL</td></tr>
-      <tr><td><a href="#sejm_interpellations">sejm_interpellations</a></td><td>no</td><td class="mono">LicenseRef-Polish-Official-Documents</td><td>Add evidence file; NERGAL</td></tr>
-      <tr><td><a href="#uzp_orzeczenia_pl">uzp_orzeczenia_pl</a></td><td>no</td><td class="mono">LicenseRef-Polish-Official-Documents</td><td>State review status; dedup with SAOS</td></tr>
-      <tr><td><a href="#ted_pl">ted_pl</a></td><td>no</td><td class="mono">LicenseRef-TED-Notice-Reuse</td><td>Cite both bases; full name/email scan</td></tr>
-      <tr><td><a href="#kultura_bez_barier_pl">kultura_bez_barier_pl</a></td><td>no</td><td class="mono">CC-BY-SA-3.0</td><td>Note version gap; PII in one PDF</td></tr>
-      <tr class="grp"><td colspan="4"><span class="pill p-clean">Clean</span>&nbsp; small notes only · 8</td></tr>
-      <tr><td><a href="#dziennik_ustaw">dziennik_ustaw</a></td><td>yes</td><td class="mono">CC0-1.0</td><td>Fix card date range</td></tr>
-      <tr><td><a href="#eltec_pol">eltec_pol</a></td><td>yes</td><td class="mono">CC-BY-4.0</td><td>Add authors to card; dedup vs wolne_lektury</td></tr>
-      <tr><td><a href="#studia_bas">studia_bas</a></td><td>no</td><td class="mono">CC-BY-3.0-PL</td><td>Check live site manually (CAPTCHA); resolve 3.0 vs 4.0</td></tr>
-      <tr><td><a href="#edukacja_medialna_pl">edukacja_medialna_pl</a></td><td>no</td><td class="mono">CC-BY-SA-3.0</td><td>Optionally drop 3 quotes</td></tr>
-      <tr><td><a href="#open_icm_pl">open_icm_pl</a></td><td>no</td><td class="mono">MIXED</td><td>None</td></tr>
-      <tr><td><a href="#open_agh_chemistry_pl">open_agh_chemistry_pl</a></td><td>no</td><td class="mono">CC-BY-SA-4.0</td><td>Archive the rights pages</td></tr>
-      <tr><td><a href="#rock_pollub_pl">rock_pollub_pl</a></td><td>no</td><td class="mono">CC-BY-SA-4.0</td><td>None</td></tr>
-      <tr><td><a href="#wiadomosci_statystyczne_pl">wiadomosci_statystyczne_pl</a></td><td>no</td><td class="mono">CC-BY-SA-4.0</td><td>None</td></tr>
-      <tr class="grp"><td colspan="4"><span class="pill p-minor">Pending PR</span>&nbsp; not on main</td></tr>
-      <tr><td><a href="#saos">saos</a> (PR #21)</td><td>no</td><td class="mono">LicenseRef-Polish-Official-Documents</td><td>Merge after 2 notice fixes; 7 pre-release items</td></tr>
-    </tbody>
-  </table>
-  </div>
-</section>
-
-<section>
-  <h2>For agents: how to work on this</h2>
-  <div class="cols">
-    <div class="box">
-      <h4>Where things live (repo <code>polish-dynaword</code>)</h4>
-      <ul>
-        <li><b>Registry:</b> <code>src/sources.py</code>. Edit the fields <code>license</code>, <code>license_spdx</code>, <code>traceable</code>, <code>provenance</code>, <code>upstream</code>, <code>legal_note</code> and <code>release</code>. <code>release: None</code> means the source is on main but unreleased.</li>
-        <li><b>Per source:</b> <code>data/&lt;src&gt;/&lt;src&gt;.md</code> (card), <code>NOTICE.md</code>, <code>&lt;src&gt;.license-evidence.json</code>, <code>&lt;src&gt;.attribution.jsonl</code>, <code>&lt;src&gt;.stats.json</code>, <code>qa.json</code>.</li>
-        <li><b>Decision records:</b> <code>polish-dynaword-v2/repo_patch_suggestions/decisions/&lt;src&gt;.yaml</code> (schema <code>decision-record.schema.yaml</code>). Per-text evidence goes in <code>polish-dynaword-v2/evidence/</code>.</li>
-        <li><b>Paper check:</b> <code>src/verify_paper_claims.py</code> checks token and source counts. Run it after any removal.</li>
-      </ul>
-    </div>
-    <div class="box">
-      <h4>Conventions</h4>
-      <ul>
-        <li><b>Withdrawal:</b> HPLT was removed by deleting the <code>data/&lt;src&gt;/</code> files on HF (commits <code>23e883a</code>, <code>1802420</code>, <code>bade8e7</code>). The registry entry stays for history. Do the same, and record the reason in <code>legal_note</code> and a decision record.</li>
-        <li><b>Rows with <code>file_key: None</code>:</b> these are SpeakLeash pulls with no fetch script: <code>wikipedia</code>, <code>wikisource</code>, <code>wolne_lektury</code>, <code>1000_novels</code>, <code>eurlex</code>, <code>parliamentary</code>. Any row-level fix needs a script, so write one; don't hand-edit the parquet.</li>
-        <li><b>Cards:</b> regenerate them; don't hand-edit the per-document licence tables.</li>
-        <li><b>PII:</b> NERGAL is the PII pass and a release gate wherever noted.</li>
-        <li><b>Tests:</b> every builder has a <code>src/test_*</code> contract. Update it whenever filtering changes.</li>
-      </ul>
-    </div>
-    <div class="box">
-      <h4>Evidence from this audit</h4>
-      <ul>
-        <li><code>artifacts/rights_audit_2026-10/</code>: <code>reports/*.md</code> holds the six full audit reports; <code>reports/citations.md</code> tabulates the 2026-10-05 primary-source citation pass by release, with per-claim tables in <code>reports/citations/</code>.</li>
-        <li><code>literary/wl_map.json</code> maps each wolne_lektury row to its WL slugs.</li>
-        <li><code>wikis/nonsa_ns.json</code> maps nonsa page ids to namespaces.</li>
-        <li><code>wikis/wq_sample.json</code> and <code>wq_summ.txt</code> hold the 200-doc wikiquote sample.</li>
-        <li><code>wikis/wk_pages.json</code> is the wiktionary sample.</li>
-        <li><code>wikis/encpw_*.json</code> holds the English Creepypasta Wiki lookups.</li>
-        <li><code>official/committee_roles.csv</code> holds speaker-role shares.</li>
-        <li><code>official/ppc_classify.py</code> is the parliamentary document classifier.</li>
-        <li>Run the scripts from the repo root. Some read or write their JSON and pickle files relative to the working directory.</li>
-      </ul>
-    </div>
-  </div>
-  <div class="box">
-    <h4>Suggested workstreams</h4>
-    <p class="note">Each workstream can run as its own agent. H waits for the session decisions and the A–G results.</p>
-    <div class="tablewrap" style="border:0">
-    <table>
-      <thead><tr><th>WS</th><th>Sources</th><th>Shared work</th></tr></thead>
-      <tbody>
-        <tr><td>A</td><td>openstax_pl, common_voice_pl, nkjp1m</td><td>Withdrawal pattern, decision records, card notes</td></tr>
-        <tr><td>B</td><td>wikipedia, wikisource, wikiquote, wiktionary_examples, wikinews, wikivoyage, wikibooks, plwiki_talk, plwiki_user_talk</td><td>Extend <code>src/fetch_wikimedia.py</code> to plwiki and plwikisource from pinned dumps. Write one helper that labels the licence from the last-revision date, and reuse it in every wiki builder.</td></tr>
-        <tr><td>C</td><td>1000_novels, wolne_lektury, eltec_pol</td><td>Per-row licence column. Cross-source dedup of the same novels.</td></tr>
-        <tr><td>D</td><td>parliamentary, sejm_committee_transcripts, sejm_api, sejm_api_2011_2022, sejm_interpellations, uzp_orzeczenia_pl, saos, eurlex, ted_pl, dziennik_ustaw</td><td>Dedup set: sejm_api_2011_2022 vs parliamentary vs parlamint_pl, and saos KIO vs uzp_orzeczenia_pl. NERGAL runs.</td></tr>
-        <tr><td>E</td><td>govpl, samorzad_gov_pl, global_voices, kultura_bez_barier_pl, edukacja_medialna_pl</td><td>Third-party subset filters ("Źródło:", PAP, partner outlets)</td></tr>
-        <tr><td>F</td><td>fandom_pl, nonsa</td><td>Per-wiki and per-namespace filters; Fandom ToU decision</td></tr>
-        <tr><td>G</td><td>biblioteka_nauki, studia_bas</td><td>Record licence versions per row</td></tr>
-        <tr><td>H</td><td>Paper and registry</td><td>Fix <code>main.tex:46</code>, decision records, the <code>sources.py</code> docstring, and <code>verify_paper_claims.py</code>.</td></tr>
-      </tbody>
-    </table>
-    </div>
-  </div>
-</section>
-
-<!-- ============ HPLT-CLASS ============ -->
-<section>
-  <h2>HPLT-class: unresolved rights in the underlying works</h2>
-
-  <article class="src hplt" id="wikisource">
-    <header><h3>wikisource</h3><span class="pill p-hplt">HPLT-class</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-SA-3.0</code> · SpeakLeash pull, no fetch script</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>632,005 rows (1.97G chars), all labelled <code>CC-BY-SA-3.0</code>. The rows have no title, author or page id, and mix single pages with whole books. Which pages were selected came from SpeakLeash and is undocumented. The card sentence "underlying texts are public-domain works" is false.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> <code>wikisource_1295016</code>: a Conrad translation by J. B. Rychliński (d. 1974). The Wikisource footer says it is protected in Poland until 2045.</li>
-        <li><span class="tag">V</span> Post-war editions: <code>wikisource_1799959</code> (1962), <code>_1182398</code> and <code>_1185399</code> (1971–72), <code>_1265054</code> (1966), <code>_1280295</code> (1974), and the cluster <code>_1264778</code>–<code>_1265031</code>.</li>
-        <li><span class="tag">V</span> <code>_1800344</code> carries "Copyright by Jerzy Kuliński" (1995). <code>_1802332</code> is a 2016 translation under CC BY 2.5. 1990s press: <code>_1802484</code>, <code>_1241134</code>.</li>
-        <li><span class="tag">V</span> The <a href="https://pl.wikisource.org/wiki/Wikiźródła:Prawa_autorskie">policy</a> admits in-copyright texts with consent, under CC BY-SA 4.0. The dataset keeps neither the consent nor the version.</li>
-        <li><span class="tag">I</span> The share is unknown. A crude filter flags 372 rows (32.8M chars, 1.7%).</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Add <code>plwikisource</code> to <code>src/fetch_wikimedia.py</code> from a pinned dump. Keep page id, title, URL and revision timestamp.</li>
-        <li>For each page, collect its authors and translators (from the <code>Autor:</code> pages and the page header templates) with their death years.</li>
-        <li>Keep a page only if all of them died in 1955 or earlier, or if it carries an explicit CC licence or consent template. Label the consent pages <code>CC-BY-SA-4.0</code>.</li>
-        <li>Drop PD-US-only pages. Their footer reads "Prawa autorskie do tekstu wygasają: w 20xx roku w Polsce" with a year after 2025.</li>
-        <li>Add a per-row <code>license</code> and the source URL. Regenerate the card and remove the false sentence.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>None of the IDs above survive. Every row has a page URL and a death-year basis or licence template. The rights-screen CSV is in <code>polish-dynaword-v2/evidence/</code>.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Decide whether to withdraw from v0.2.6 until the rebuild lands. Death years for translators may need manual curation.</p></div>
-    </div>
-  </article>
-
-  <article class="src hplt" id="wikiquote">
-    <header><h3>wikiquote</h3><span class="pill p-hplt">HPLT-class</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-SA-3.0</code> · <code>fetch_wikimedia.py</code> (plwikiquote)</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Most of the text is quotations of copyrighted works. CC BY-SA covers only the contributors' selection and framing. The quotes themselves rest on the quotation exception (Art. 29), which applies only for a purpose and is not a licence to us. Wikiquote caps each quote at 1,000 chars (<a href="https://pl.wikiquote.org/wiki/Wikicytaty:Maksymalna_długość_cytatu">policy</a>).</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> Random 200-doc sample (seed 1): 158 in copyright (79%, Wilson CI 73–84%), 20 PD, 13 mixed, 7 translation-only, 2 unknown.</li>
-        <li><span class="tag">V</span> A typical page is <code>wikiquote_2429270</code> (Alice Sebold, b. 1963, in a modern translation).</li>
-        <li>Sample: <code>artifacts/rights_audit_2026-10/wikis/wq_sample.json</code>, <code>wq_summ.txt</code>.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Recommended: withdraw the source.</li>
-        <li>Alternative: rebuild per page. Pages are mostly about one person. Keep a page only if the quoted author, and any credited translator ("tłum."), died in 1955 or earlier. Keep contributor-written intros. Drop everything else.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>The source is withdrawn, or a per-page screen CSV exists and a fresh 200-doc sample shows no in-copyright quotes.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Decide between dropping and screening. Screening keeps maybe 10–20% of the text.</p></div>
-    </div>
-  </article>
-
-  <article class="src hplt" id="wiktionary_examples">
-    <header><h3>wiktionary_examples</h3><span class="pill p-hplt">HPLT-class</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.5 · <code>CC-BY-SA-3.0</code> · <code>src/fetch_wiktionary_examples.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>A large share of the example sentences are cited quotations from corpora and books (NKJP above all). The fetcher strips the citations, so the dataset can't be screened afterwards.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> Live sample of 74 entries and 111 example lines. Lines citing an external source hold 34% of chars (23% of lines); NKJP alone is 21% of chars. 34% of entries have at least one cited example.</li>
-        <li><span class="tag">I</span> In 70 dataset lines checked by eye, about 55% look like in-copyright corpus quotes.</li>
-        <li><span class="tag">V</span> <code>clean()</code> strips <code>&lt;ref&gt;</code> (lines 126–127). <code>examples_and_citations()</code> (around line 150) moves <code>{{źródło}}</code> into a per-page citation list but still keeps the cited sentence. That sidecar isn't committed, and it can't be mapped back to individual lines.</li>
-        <li>Sample: <code>wikis/wk_pages.json</code>.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>In <code>examples_and_citations()</code>, skip any example line whose raw text contains a <code>{{źródło</code> or <code>{{zrodlo</code> template or a <code>&lt;ref</code>. Decide this per line, before <code>clean()</code>.</li>
-        <li>Also skip lines that name NKJP or a bibliographic source in plain text. Collect the patterns from <code>wk_pages.json</code>.</li>
-        <li>Add a sidecar with the headword, page id and revision id. Label rows <code>CC-BY-SA-4.0</code> if the last revision is on or after 2023-06-01, otherwise <code>3.0</code>; use the WS-B helper.</li>
-        <li>Add a test with one cited and one uncited example.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>No output line comes from a line that had a citation. A 100-line sample has no corpus quotes. Card stats are regenerated.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>None beyond the withdraw-or-rebuild timing.</p></div>
-    </div>
-  </article>
-
-  <article class="src hplt" id="1000_novels">
-    <header><h3>1000_novels</h3><span class="pill p-hplt">HPLT-class</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.1 · <code>CC-BY-4.0</code> · SpeakLeash <code>1000_novels_corpus_CLARIN-PL</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>CLARIN-PL's CC BY 4.0 covers only the compilation. The card on main now has a rights note, but the parquet is unchanged: all 1,000 rows say <code>CC-BY-4.0</code> and author is empty.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> Per-text screen <code>polish-dynaword-v2/evidence/1000_novels_rights_screen.csv</code>: 830 PD by term, 10 PD per Wolne Lektury, 17 in copyright, 143 unverified.</li>
-        <li><span class="tag">V</span> The 17 are 2 by Dąbrowska, 12 translated by Michał Friedman and 3 translated by Hōjun. Wolne Lektury publishes them under CC BY-SA 3.0 PL; 5 still carry that footer.</li>
-        <li><span class="tag">V</span> Row <em>i</em> of the parquet is the <em>i</em>-th file in the CLARIN listing, which is how rows map to the screen (decision record <code>1000_novels.yaml</code>).</li>
-        <li><span class="tag">I</span> The CLARIN-PL licence page wasn't read (timeout). Death years in <code>scripts/novels_rights_screen.py</code> are hand-curated.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Write a builder (there isn't one) that joins the parquet to the screen CSV by row index.</li>
-        <li>Drop the 143 unverified rows. Either drop the 17 or relabel them <code>CC-BY-SA-3.0</code> with Wolne Lektury attribution. That leaves 840 or 857 rows.</li>
-        <li>Add per-row author and title from the CLARIN file names.</li>
-        <li>Dedup against <code>wolne_lektury</code> and <code>eltec_pol</code> (same novels).</li>
-        <li>Update the decision record: keep <code>status: admitted</code>, list the removed texts under <code>scope.withheld</code>, and set the new <code>artifact_sha256</code>.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>The parquet has 840 or 857 rows with per-row licence and author. The card's per-document licence table matches.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Choose between dropping and relabelling the 17. Optionally research the 143 to recover some.</p></div>
-    </div>
-  </article>
-
-  <article class="src hplt" id="nkjp1m">
-    <header><h3>nkjp1m</h3><span class="pill p-hplt">HPLT-class</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.3 · <code>CC-BY-4.0</code> · <code>src/fetch_njkp.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>18,381 rows of newspapers, books, web pages and transcripts. The licence statements conflict. The rationale for releasing the subcorpus is that its fragments are short, which is not a grant from the rights holders.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> <code>fetch_njkp.py</code> hard-codes <code>CC-BY</code> with the comment "stated on the NKJP download page".</li>
-        <li><span class="tag">V</span> The sources disagree:
-          <ul>
-            <li>clip.ipipan.waw.pl says CC-BY.</li>
-            <li>nkjp.pl says CC-BY 4.0.</li>
-            <li>The old LRT page and the 2012 NKJP book say GPL v3.</li>
-          </ul>
-        </li>
-        <li><span class="tag">V</span> NKJP book, ch. 5.3: the full corpus can't be released for copyright reasons; the 1M subset is released because it consists of short fragments.</li>
-        <li><span class="tag">I</span> The per-text TEI <code>availability</code> headers were not checked, because that needs the tarball download.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Recommended: withdraw, using the HPLT pattern, and add <code>legal_note</code>.</li>
-        <li>Optionally, with approval, download the NKJP1M tarball and grep each <code>header.xml</code> for <code>availability</code>/<code>licence</code>. Attach the result to the decision record.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>The data is removed from the next release and the decision record is updated, or IPI PAN's written confirmation is filed in <code>evidence/</code>.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Write to IPI PAN (Zespół Inżynierii Lingwistycznej) asking whether CC BY applies to the texts themselves.</p></div>
-    </div>
-  </article>
-
-  <article class="src hplt" id="openstax_pl">
-    <header><h3>openstax_pl</h3><span class="pill p-hplt">HPLT-class</span><span class="reg">unreleased · <code>CC-BY-4.0</code> · <code>src/fetch_openstax_pl.py</code> · 1,422 docs, 4.6M tokens</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The rights holder licenses the books NonCommercial and share-alike, and explicitly prohibits LLM training without written consent. Our label says CC BY 4.0. This alone falsifies "No source carries a NonCommercial licence".</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> All 8 live <code>/pages/przedmowa</code> pages, in the "Cytowanie i udostępnianie" block: "nie może być wykorzystywany do trenowania dużych modeli językowych … bez uprzedniej pisemnej zgody OpenStax Poland" and "wyłącznie w celach niekomercyjnych … na tej samej licencji".</li>
-        <li><span class="tag">V</span> The clause is older than our snapshot. Wayback shows it on Psychologia (2025-02-17) and Żywienie (2025-10-09).</li>
-        <li><span class="tag">V</span> The OpenStax CMS lists all 8 Polish books as CC BY-NC-SA 4.0.</li>
-        <li><span class="tag">V</span> <code>license_evidence()</code> reads only the foreword body, which says "CC BY 4.0", and hard-codes <code>CC-BY-4.0</code>.</li>
-        <li><span class="tag">I</span> An earlier CC BY grant may be irrevocable for text already released. That doesn't make shipping it defensible.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Remove <code>data/openstax_pl/</code> from what we publish (HPLT pattern) and set <code>legal_note</code> to the clause and its URL.</li>
-        <li>Harden the fetcher. Parse the "Cytowanie i udostępnianie" block and the CMS licence field, and fail closed on <code>niekomercyjn</code>, <code>modeli językowych</code> or any NC/ND licence. Add a fixture test from the live page.</li>
-        <li>Add the same fail-closed check to <code>src/rights.py</code> if other fetchers parse free-text licence lines.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>No openstax data is in the build. The fetcher test fails on the current live page text.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Optionally request permission through OpenStax Poland.</p></div>
-    </div>
-  </article>
-
-  <article class="src hplt" id="common_voice_pl">
-    <header><h3>common_voice_pl</h3><span class="pill p-hplt">HPLT-class</span><span class="reg">unreleased · <code>CC0-1.0</code> · <code>src/fetch_common_voice_pl.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>CC0 is a platform-level assertion. Most of the sentences come from Europarl, whose reuse terms require reproducing the entire item with attribution, which is not CC0. Most of the rest are Wolne Lektury excerpts whose translators were never checked.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> 45,043 sentences matched against <code>common-voice/common-voice</code> <code>server/data/pl/</code> (main), after normalising text:
-          <ul>
-            <li>24,709 (54.9%) are in <code>selected-europarl-v7-pl.txt</code> (added 2021-04-14).</li>
-            <li>18,569 (41.2%) are in <code>sentence-collector.txt</code>.</li>
-            <li>37 are in both, and 1,802 (4.0%) in neither.</li>
-          </ul>
-        </li>
-        <li><span class="tag">V</span> The EP legal notice allows reuse "provided that the entire item is reproduced and the source is acknowledged". Europarl itself says only that it is "not aware of any copyright restrictions".</li>
-        <li><span class="tag">V</span> The card already offers withdrawal: no document reaches 200 chars, because sentences are single units.</li>
-        <li><span class="tag">I</span> <code>sentence_domain</code> is "unspecified" for 45,035 rows, so the source of each sentence isn't exported.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Recommended: withdraw, with <code>legal_note</code>, a decision record and an updated <code>test_common_voice_pl_contract.py</code>.</li>
-        <li>If kept: drop every sentence found in the Europarl file. Matching must use the same normalisation as the audit (NFKC, collapse whitespace, strip final punctuation).</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>The source is withdrawn, or 0 Europarl matches remain and the card states the Sentence Collector caveat.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Withdraw or keep the partial set.</p></div>
-    </div>
-  </article>
-
-  <article class="src hplt" id="fandom_pl">
-    <header><h3>fandom_pl</h3><span class="pill p-hplt">HPLT-class (per wiki)</span><span class="reg">unreleased · <code>CC-BY-SA-3.0</code> · <code>src/build_fandom_pl.py</code> via snapshot <code>PiotrSty/fandom-pl</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Several wikis consist mostly of verbatim game text, book text, song lyrics or translated third-party stories. Fandom's CC BY-SA can't license those. The Fandom Terms of Use reportedly bar automated scraping. The data comes through an intermediary snapshot.</p></div>
-      <div><h4>Evidence by wiki (40-doc samples)</h4>
-        <div class="tablewrap"><table>
-          <thead><tr><th>Wiki</th><th>Docs affected</th><th>Token share</th><th>What</th></tr></thead>
-          <tbody>
-            <tr><td>dragonage</td><td class="num">22/40 (40–69%)</td><td class="num">~52%</td><td>codex, letters, poems</td></tr>
-            <tr><td>elderscrolls</td><td class="num">17/40 (29–58%)</td><td class="num">14–22%</td><td>in-game books and notes, including English "Oryginał="</td></tr>
-            <tr><td>wiedzmin</td><td class="num">11/40 (16–43%)</td><td class="num">~14%</td><td>in-game documents, quest log</td></tr>
-            <tr><td>naruto</td><td>n/a</td><td class="num">4.1–4.4%</td><td>full song lyrics</td></tr>
-            <tr><td>pokemon</td><td>structural</td><td>n/a</td><td>translation of Bulbapedia, CC BY-NC-SA 2.5 <span class="tag">I</span></td></tr>
-            <tr><td>creepypasta</td><td class="num">240 strict / 301 broad</td><td class="num">~0.75M tok</td><td>labelled translations; 135 of 153 English-titled ones are not on the English Creepypasta Wiki, so they likely come from r/nosleep and similar</td></tr>
-            <tr><td>gothic</td><td class="num">0/40</td><td>n/a</td><td>clean in sample</td></tr>
-            <tr><td>harrypotter</td><td class="num">0/40</td><td class="num">0.055%</td><td>clean in sample</td></tr>
-            <tr><td>starwars, fallout, sims, gta</td><td colspan="3">not sampled</td></tr>
-          </tbody>
-        </table></div>
-      </div>
-      <div class="full"><h4>More evidence</h4><ul>
-        <li><span class="tag">V</span> <code>build_fandom_pl.py</code>: <code>OWN_REPO = "PiotrSty/fandom-pl"</code>. The licence URL is a Wayback copy of fandom.com/licensing. The siteinfo query asks only for <code>general|statistics</code>, so no per-wiki <code>rightsinfo</code> is recorded.</li>
-        <li><span class="tag">V</span> <code>qa.json</code> license gate: "third-party notices still require review". The card says pages "may quote or copy official game materials".</li>
-        <li><span class="tag">I</span> The Fandom ToU scraping ban comes from web search only; the primary page wasn't read. Only one creepypasta origin is confirmed (HiggsThunder, r/nosleep).</li>
-        <li>Lookups: <code>wikis/encpw_found.json</code>, <code>encpw_res.json</code>.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Exclude the creepypasta, pokemon, elderscrolls, dragonage, wiedzmin and naruto wikis in <code>build_fandom_pl.py</code>, filtering on the per-record <code>wiki</code> field. Add a test.</li>
-        <li>Sample starwars, fallout, sims and gta with the same 40-doc protocol: verbatim in-universe text, lyrics, translations. Exclude any over 5% of tokens.</li>
-        <li>Add <code>siprop=rightsinfo</code> to the siteinfo query and store the result per wiki in <code>license-evidence.json</code>.</li>
-        <li>Read the Fandom Terms of Use and record the clause in the decision record.</li>
-        <li>Update the card, <code>NOTICE.md</code>, <code>qa.json</code>, the registry <code>provenance</code> (12 wikis) and <code>overlap_audit.json</code>.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>Only cleared wikis remain. Per-wiki rightsinfo is recorded. The ToU decision is recorded.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Decide on the ToU: if it bans bulk reuse, drop the whole source.</p></div>
-    </div>
-  </article>
-</section>
-
-<!-- ============ PARTIAL ============ -->
-<section>
-  <h2>Partial: remove a slice</h2>
-
-  <article class="src part" id="parliamentary">
-    <header><h3>parliamentary</h3><span class="pill p-part">Partial</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · registry <code>CC-BY-4.0</code>, card <code>public-domain</code> · SpeakLeash <code>PPC_corpus</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The chain is Sejm, then IPI PAN PPC, then SpeakLeash, then us. IPI PAN's "public domain" is a redistributor's claim with no stated basis. The Sejm website's own SIS terms (since early 2016) ask for a source note and bar SIS material from the commercial offer of an agency, TV station or portal. Committee sittings dominate the text and have speaker labels stripped, so guests can't be filtered out. The registry and the card disagree on the licence.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> 324,622 docs, by heuristic classification:
-          <ul>
-            <li>Interpellations and replies: 79% of docs, 22% of chars.</li>
-            <li>Committee sittings: 11% of docs, ~59% of chars.</li>
-            <li>Plenary: ~14% of chars.</li>
-          </ul>
-        </li>
-        <li><span class="tag">V</span> Samples quote constituents by name. Some items predate 1991 and some have mojibake. There are no per-doc dates.</li>
-        <li><span class="tag">V</span> SIS terms: SIS material "nie mogą być elementem komercyjnej oferty żadnej agencji, stacji telewizyjnej, portalu ani innego podmiotu". Wayback shows only a permissive sentence on 2015-11-21; the clause first appears on 2016-02-04. SIS is the www.sejm.gov.pl system (Regulamin Sejmu art. 201a).</li>
-        <li><span class="tag">I</span> The clause is narrower than a commercial-use ban and says nothing about datasets. Open Data Act art. 15 ust. 1 lists the conditions a public body may set, and a commercial bar is not among them. PPC crawl dates are unknown, so some text predates the clause. Details: <a href="reports/citations/sejm_sis.md">sejm_sis.md</a>.</li>
-        <li>Classifier: <code>official/ppc_classify.py</code>.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Option A: withdraw. <code>sejm_api*</code>, <code>sejm_committee_transcripts</code> and <code>sejm_interpellations</code> cover the recent period with attribution.</li>
-        <li>Option B: write a builder that applies <code>ppc_classify.py</code> and drops committee docs. Dedup against <code>sejm_api_2011_2022</code> and <code>parlamint_pl</code>.</li>
-        <li>Either way, make the registry and card agree. Use "PPC public-domain statement (unverified)", not "official documents".</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>No committee docs remain, the licence label matches across registry and card, and the dedup report is attached.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Choose A or B.</p></div>
-    </div>
-  </article>
-
-  <article class="src part" id="samorzad_gov_pl">
-    <header><h3>samorzad_gov_pl</h3><span class="pill p-part">Partial</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.5 · <code>CC-BY-SA-4.0</code> · <code>src/clean_samorzad_gov_pl.py</code> via HF <code>dawidmajewski/samorzad-gov-pl-articles</code> v0.2</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The CC BY-SA 4.0 footer is a platform template run by KPRM/MC over content written by 247 independent tenants. The tenant agreements aren't published. The grant comes from the operator, not the authors, which is the HPLT structure.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> 72,472 docs. The footer script's sha256 <code>b36ec507…</code> is in <code>license-evidence.json</code>. The <a href="https://www.gov.pl/attachment/63b42fcd-6638-46d3-8dd5-83f085b2ecc1">onboarding PDF</a> mentions no licence grant.</li>
-        <li><span class="tag">V</span> Third-party subsets:
-          <ul>
-            <li>69 docs: the "Piątek z poezją" series (Powiat Sokołowski).</li>
-            <li>9 docs: IMGW notices ("podlega ochronie prawnej").</li>
-            <li>112 docs: pupil, participant and poem works.</li>
-            <li>810 docs (1.1%): "Źródło:" lines.</li>
-          </ul>
-        </li>
-        <li><span class="tag">I</span> A 200-doc sample (seed 7) has about 2–3% real third-party material.</li>
-        <li>Regexes: <code>govweb/s1.py</code>–<code>s5.py</code>. Publishers: <code>src/samorzad_gov_pl_publishers.json</code>.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>In <code>clean_samorzad_gov_pl.py</code>, drop the poetry series, IMGW notices, contest and pupil entries, and "Źródło:" docs that name a non-governmental source.</li>
-        <li>Relabel the basis as "operator-declared platform licence". Add the carve-out from gov.pl's copyright page to the card.</li>
-        <li>Update <code>test_samorzad_gov_pl_contract.py</code>.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>All four subsets are 0. The card states the operator-declared basis.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Ask KPRM / Ministerstwo Cyfryzacji to confirm in writing that tenants authorise the footer licence.</p></div>
-    </div>
-  </article>
-
-  <article class="src part" id="sejm_committee_transcripts">
-    <header><h3>sejm_committee_transcripts</h3><span class="pill p-part">Partial</span><span class="reg">unreleased · <code>LicenseRef-Polish-Official-Documents</code> · <code>src/fetch_sejm_committee_transcripts.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Art. 4(2) and the Open Data Act cover official speakers. Private guests (companies, NGOs, academics) are not clearly covered. Open Data Act art. 6(4)(4) excludes material in which non-public entities hold copyright.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">I</span> 653,411 turns. By speaker:
-          <ul>
-            <li>Non-official speakers: ~5% of chars (1.8% of turns).</li>
-            <li>Unclassified: ~2.7%.</li>
-            <li>State bodies: ~18%.</li>
-            <li>MPs and the chair: ~70%.</li>
-          </ul>
-        </li>
-        <li><span class="tag">V</span> Non-official examples include Konfederacja Lewiatan, Grupa Azoty S.A., Greenpeace, ClientEarth, HFPC, Związek Miast Polskich and university professors. There are 3,097 "Głos z sali" (voice from the floor) turns.</li>
-        <li><span class="tag">I</span> Regulamin Sejmu art. 166 ust. 4 puts the full record of committee sittings in SIS, so the SIS source-note and commercial-offer terms may apply. Scope and enforceability: <a href="reports/citations/sejm_sis.md">sejm_sis.md</a>.</li>
-        <li>Role shares: <code>official/committee_roles.csv</code>. Classifier: <code>committee_speakers.py</code>. Known false positives: NBP, Wody Polskie, IPN (all state bodies).</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Filter turns on the <code>author</code> field with an allowlist: Poseł, Przewodniczący, Minister, Sekretarz/Podsekretarz stanu, Prezes [state body], Sejm and Senate staff (BAS, BEOS), and the named state agencies.</li>
-        <li>Drop "Głos z sali" and anything not on the allowlist. Re-assemble the documents. Log dropped speakers to a sidecar.</li>
-        <li>Add a test and regenerate stats.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>Non-official and "Głos z sali" turns are 0. The dropped-speaker list is reviewed for false negatives.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Approve the allowlist.</p></div>
-    </div>
-  </article>
-
-  <article class="src part" id="nonsa">
-    <header><h3>nonsa</h3><span class="pill p-part">Partial</span><span class="reg">unreleased · <code>CC-BY-SA-3.0</code> · <code>src/build_nonsa_pl.py</code> via WikiTeam <code>wiki-nonsa.pl-20251009</code> and HF <code>PiotrSty/nonsa-pl</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The site licence is fine. One namespace and a few pages quote film and TV dialogue and song lyrics. The card itself says "Embedded third-party quotations have not been reviewed".</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> Live rightsinfo is CC BY-SA 3.0, and <code>Nonsensopedia:Prawa autorskie</code> requires contributors' own or compatible text. No NC licence applies to text.</li>
-        <li><span class="tag">V</span> 12,204 of 12,304 page ids resolved to a namespace (<code>wikis/nonsa_ns.json</code>).</li>
-        <li><span class="tag">V</span> ns100 "Cytaty": 287 docs, 2.6% of tokens. It quotes Miś, Rejs, Kiler, Wiedźmin 3 and Shrek, plus lyrics.</li>
-        <li><span class="tag">V</span> 12 docs with <code>&lt;poem&gt;</code> lyrics, 0.5% of tokens, e.g. <code>nonsa_202491</code> and <code>nonsa_221845</code>.</li>
-        <li><span class="tag">V</span> 100 docs were deleted live after the dump.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Carry <code>namespace</code> through <code>build_nonsa_pl.py</code> into each record and exclude ns100.</li>
-        <li>Exclude pages whose raw wikitext has <code>&lt;poem&gt;</code> blocks quoting third-party lyrics. To be safe, drop all of them.</li>
-        <li>Drop the 100 pages deleted live, so the dataset honours the deletions.</li>
-        <li>Run NERGAL. Update <code>test_build_nonsa_pl.py</code>.</li>
-      </ol></div>
-      <div><h4>Done when</h4><p>ns100 and <code>&lt;poem&gt;</code> docs are 0, a namespace field is present, and NERGAL has run.</p></div>
-      <div class="human"><h4>Needs a human</h4><p>Optional: check the Nonźródła, Gra and Forum parody content against Polish parody law (not done).</p></div>
-    </div>
-  </article>
-</section>
-
-<!-- ============ MINOR ============ -->
-<section>
-  <h2>Minor: labelling and provenance</h2>
-  <p class="note prose">One shared helper for WS-B: label a record <code>CC-BY-SA-3.0</code> if its last revision is before 2023-06-01 (adding GFDL if before 2009), otherwise <code>CC-BY-SA-4.0</code>. Wikinews uses its own cutover. Agents should use this helper in every wiki builder instead of hard-coding a licence per source.</p>
-
-  <article class="src minor" id="wikipedia">
-    <header><h3>wikipedia</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-SA-3.0</code> · SpeakLeash <code>plwiki</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Live Wikipedia is CC BY-SA 4.0 (<a href="https://pl.wikipedia.org/w/api.php?action=query&amp;meta=siteinfo&amp;siprop=rightsinfo">rightsinfo</a>), but the label says 3.0. The card's upstream URL is dumps.wikimedia.org, but the data actually came through SpeakLeash.</p></div>
-      <div><h4>Fix</h4><ol>
-        <li>Add plwiki to <code>fetch_wikimedia.py</code> from a pinned dump.</li>
-        <li>Keep page id, title, URL and revision timestamp.</li>
-        <li>Apply the revision-date licence helper.</li>
-        <li>Replace the SpeakLeash provenance text.</li>
-      </ol></div>
-      <div class="full note">Not done: sampling for pasted copyrighted text.</div>
-    </div>
-  </article>
-
-  <article class="src minor" id="wikinews">
-    <header><h3>wikinews</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-2.5</code> · <code>fetch_wikimedia.py</code> (plwikinews)</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Polish Wikinews voted between 2024-07-22 and 2024-08-20 to move from CC BY 2.5 to 4.0, and the live site is 4.0. All 24,386 docs are still labelled 2.5. <code>Wikinews:Prawa autorskie</code> bans copying agency text verbatim.</p></div>
-      <div><h4>Fix</h4><ol>
-        <li>Label each record by last-revision date: before the effective switch date it is <code>CC-BY-2.5</code>, after it <code>CC-BY-4.0</code>. Confirm the effective date on <code>Wikinews:Głosowania/Zmiana licencji na CC:BY 4.0</code>.</li>
-        <li>Review the 6 docs that mention e-Polityka.pl. The 2005 permission requires attribution, so keep it or drop the docs.</li>
-        <li>Sample 100 docs for unattributed press copying. A 30-doc check found none.</li>
-      </ol></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="wikivoyage">
-    <header><h3>wikivoyage</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-SA-3.0</code> · <code>fetch_wikimedia.py</code> (plwikivoyage)</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Labelled 3.0, but the live site is 4.0. One doc mentions Wikitravel.</p></div>
-      <div><h4>Fix</h4><p>Apply the revision-date helper. Optionally sample listings for pasted tourist-board or business text (not checked).</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="wikibooks">
-    <header><h3>wikibooks</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-SA-3.0</code> · <code>fetch_wikimedia.py</code> (plwikibooks)</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Same label issue. 24 docs (0.4% of tokens) mention GFDL, for example the "Dive into Python" translation (<code>wikibooks_2419791</code>, <code>wikibooks_2419792</code>). GFDL-only text is incompatible with CC BY-SA. <code>wikibooks_2423104</code> was imported "za zgodą twórców" (with the authors' consent) under an unknown original licence.</p></div>
-      <div><h4>Fix</h4><ol>
-        <li>Apply the revision-date helper.</li>
-        <li>For each of the 24 GFDL docs, keep it only if it is dual-licensed, or GFDL "or later" with an eligible migration date. Otherwise drop it.</li>
-        <li>Check <code>wikibooks_2423104</code>'s talk page for the consent terms.</li>
-      </ol></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="plwiki_talk">
-    <header><h3>plwiki_talk</h3><span class="pill p-minor">Minor</span><span class="reg">unreleased · <code>CC-BY-SA-4.0</code> · <code>src/build_plwiki_talk_pl.py</code> (official dump)</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Every record is labelled 4.0, but <code>created</code> is the last-revision date. 42% of docs (25% of tokens) were last edited before 2023-06-01, so their content is entirely 3.0.</p></div>
-      <div><h4>Fix</h4><p>Apply the revision-date helper per record. In a 1,500-doc sample, 10% of chars are long unsigned lines; about 3% or less of chars are likely pasted source text. That's acceptable. Keep the card's admission that it contains article quotes.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="plwiki_user_talk">
-    <header><h3>plwiki_user_talk</h3><span class="pill p-minor">Minor</span><span class="reg">unreleased · <code>CC-BY-SA-4.0</code> · <code>src/build_plwiki_usertalk_pl.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>64% of docs (42% of tokens) were last edited before 2023-06-01. Most flagged lines are welcome boilerplate or English Commons copyright notices.</p></div>
-      <div><h4>Fix</h4><p>Apply the revision-date helper per record. Optionally strip the templated Commons notices as boilerplate.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="wolne_lektury">
-    <header><h3>wolne_lektury</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-SA-4.0</code> (card: "/ Wolna Sztuka 1.3") · SpeakLeash, no fetch script</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>6,141 rows carry one label. The real licences are per text: public domain, Free Art Licence (FAL) 1.3, or CC BY-SA 3.0 PL/4.0. The label claims share-alike on PD texts, and 3.0 PL to 4.0 isn't a free upgrade. The SpeakLeash export stripped the licence footers.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> 5,604 rows matched to WL XML <code>dc:rights</code>: ~3,800 PD, ~1,340 FAL 1.3 (living poets' own grants), ~58 CC BY-SA 3.0 PL/4.0.</li>
-        <li><span class="tag">V</span> 537 rows are unmatched; 398 of those are truncated parent-collection titles.</li>
-        <li><span class="tag">V</span> No PD-labelled row has an author or translator who died after 1955.</li>
-        <li>Mapping: <code>literary/wl_map.json</code> (row id to WL slugs) and <code>wl_cat.json</code>.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Write a builder: for each row, fetch the WL book API for its slug and store the licence (<code>dc:rights.license</code>, or PD) in a per-row <code>license</code> field.</li>
-        <li>Resolve the 537 unmatched rows, starting with the parent-collection prefix match.</li>
-        <li>Dedup against <code>1000_novels</code> and <code>eltec_pol</code>.</li>
-        <li>Set the registry to <code>MIXED</code>.</li>
-      </ol></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="biblioteka_nauki">
-    <header><h3>biblioteka_nauki</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.4 · <code>MIXED</code> · <code>file_key biblioteka_nauki_pl_corpus</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The licence type is right, but the version is collapsed to 4.0. Three "PD" records are really living authors' works with a platform label. Card and registry disagree on provenance.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> 583 records checked against the live <code>bibliotekanauki.pl/api</code>: 0 licence-type mismatches, and no NC, ND or all-rights-reserved items.</li>
-        <li><span class="tag">V</span> Real versions:
-          <ul>
-            <li>BY: 170 are 4.0, 101 are 3.0 PL, 27 are 3.0 Unported, 2 are 2.0.</li>
-            <li>BY-SA: 213 are 4.0, 67 are 3.0 PL.</li>
-          </ul>
-        </li>
-        <li><span class="tag">V</span> <code>iconId</code> (the <code>CLEAN</code> set in <code>recover_licenses.py</code>) drops the version.</li>
-        <li><span class="tag">V</span> "PD" records: <code>books_2142716</code>, <code>books_2147851</code>, <code>articles_2097363</code>.</li>
-        <li><span class="tag">V</span> <code>licenses.jsonl</code> and <code>build_parquet.py</code> are not in the repo.</li>
-      </ul></div>
-      <div class="full"><h4>Fix</h4><ol>
-        <li>Rebuild the licence field from the API's full licence name and version.</li>
-        <li>Drop the 3 PD records.</li>
-        <li>Commit the build scripts.</li>
-        <li>Make the card say "direct rebuild" to match the registry.</li>
-      </ol></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="eurlex">
-    <header><h3>eurlex</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.0 · <code>CC-BY-4.0</code> · SpeakLeash <code>eurlex_corpus</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>CC BY 4.0 covers EUR-Lex editorial content only. Legal documents fall under the general reuse notice, with exceptions for third-party works and special conditions. Decision 2011/833/EU covers Commission documents only. The card's Art. 4 basis doesn't apply to EU acts.</p></div>
-      <div><h4>Fix</h4><ol>
-        <li>Relabel as <code>LicenseRef-EU-Reuse-Policy</code>, citing the <a href="https://eur-lex.europa.eu/content/legal-notice/legal-notice.html">legal notice</a> and <a href="https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32011D0833">2011/833/EU</a>.</li>
-        <li>Remove the Art. 4 basis from the card.</li>
-        <li>Add a caveat for third-party and "special conditions" items: ECB ~4%, state-aid notices ~2.5%, EESC, ETSI citations.</li>
-        <li>Note the chain via SpeakLeash.</li>
-      </ol></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="govpl">
-    <header><h3>govpl</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.2 · <code>CC-BY-SA-4.0</code> · <code>src/fetch_govpl.py</code>, <code>govpl_subsites.json</code> (133)</span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The card says "All textual content … CC-BY-SA 4.0" and drops gov.pl's own carve-out for third-party works (<a href="https://www.gov.pl/web/gov/prawa-autorskie">prawa-autorskie</a>). The parquet has no URL or subsite field.</p></div>
-      <div><h4>Fix</h4><ol>
-        <li>Reword the card to include the carve-out.</li>
-        <li>Drop the ~154 docs that name PAP (mostly the MKiDN subsite) and "Źródło:" docs that name non-government sources (764 have "Źródło:").</li>
-        <li>Re-fetch to add a URL and subsite sidecar.</li>
-      </ol><p class="note">A 200-doc sample (seed 42) had 0 clear third-party reprints.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="global_voices">
-    <header><h3>global_voices</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.3 · <code>CC-BY-3.0</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>GV's CC BY covers "content created by Global Voices". 64 of 2,040 docs (3.1%) are republished from partners under content-sharing agreements: 17 from PRI/The World, plus Metamorphosis, Irrawaddy, Nepali Times, Premium Times, HKFP and 350.org.</p></div>
-      <div><h4>Fix</h4><p>Drop the 64 docs, selected by outlet names in the sidecar <code>author</code> field ("Autorzy oryginału: …") together with the regex for "content-sharing agreement"/partnership wording. After that the source is clean.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="sejm_api">
-    <header><h3>sejm_api</h3><span class="pill p-minor">Minor</span><span class="rel">v0.2.5</span><span class="reg">release 0.2.5 · <code>LicenseRef-Polish-Official-Documents</code> · <code>src/fetch_sejm_api.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The data comes from the HF snapshot <code>PiotrSty/sejm-speeches-corpus@124557799608</code>, not the live API. <code>source_url</code> points only at a day-level <code>/videos/</code> endpoint. The API publishes no licence or terms. The SIS terms cover www.sejm.gov.pl, and no source puts API output in SIS. Content is MPs' and ministers' floor speeches: 38,812 rows from 1,149 authors.</p></div>
-      <div><h4>Fix</h4><p>Change provenance to "Sejm API data via contributor snapshot". Spot-check 20 rows against the live API. Use per-speech URLs if the API offers them.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="sejm_api_2011_2022">
-    <header><h3>sejm_api_2011_2022</h3><span class="pill p-minor">Minor</span><span class="reg">unreleased · <code>LicenseRef-Polish-Official-Documents</code> · <code>src/fetch_sejm_api_2011_2022.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>Same snapshot chain as <code>sejm_api</code>: 118,902 rows from 2,095 authors. Terms 7–8 (2011–2015) predate the 2016 SIS wording. NERGAL hasn't run. It overlaps <code>parliamentary</code> (2011–2019) and the registered <code>parlamint_pl</code>.</p></div>
-      <div><h4>Fix</h4><p>Apply the <code>sejm_api</code> fix. Dedup against <code>parliamentary</code> and <code>parlamint_pl</code> before release. Run NERGAL.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="sejm_interpellations">
-    <header><h3>sejm_interpellations</h3><span class="pill p-minor">Minor</span><span class="reg">unreleased · <code>LicenseRef-Polish-Official-Documents</code> · <code>src/fetch_sejm_interpellations.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The source has no <code>license-evidence.json</code>. In a 3,900-doc sample:</p><ul>
-        <li>2.2% quote 400+ chars.</li>
-        <li>2.9% quote constituents.</li>
-        <li>About 4% match a "Pan/Pani Name" pattern.</li>
-      </ul><p>PDF-only replies are skipped. Regulamin art. 192 puts interpellations and replies in SIS, so the SIS terms may apply; replies are written by ministries, not the Kancelaria. The card's <code>added</code> date (2026-09-05) disagrees with <code>sources.py</code> (2026-07-19).</p></div>
-      <div><h4>Fix</h4><p>Add <code>license-evidence.json</code> with a caveat about third-party quotations and the SIS terms. Fix the <code>added</code> date. Run NERGAL before release, as the card requires.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="uzp_orzeczenia_pl">
-    <header><h3>uzp_orzeczenia_pl</h3><span class="pill p-minor">Minor</span><span class="reg">unreleased · <code>LicenseRef-Polish-Official-Documents</code> · <code>src/build_uzp_orzeczenia_pl.py</code> via HF <code>PiotrSty/uzp-orzeczenia-pl</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>orzeczenia.uzp.gov.pl states no licence or terms. Of 34,715 rulings, 34,412 are KIO. In a 250-ruling sample:</p><ul>
-        <li>71% recite party arguments.</li>
-        <li>50% quote 300+ chars.</li>
-        <li>4.4% cite an expert opinion.</li>
-        <li>1.2% name natural persons.</li>
-      </ul></div>
-      <div><h4>Fix</h4><p>Reword the label to state the review status ("statutory basis, no formal legal review"). If SAOS merges, choose one canonical source for the 4,541 KIO duplicates. Optional: written confirmation from UZP.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="ted_pl">
-    <header><h3>ted_pl</h3><span class="pill p-minor">Minor</span><span class="reg">unreleased · <code>LicenseRef-TED-Notice-Reuse</code> · <code>src/build_ted_pl.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The <a href="https://ted.europa.eu/en/legal-notice">TED notice</a> allows free reuse of notices, but doesn't separately address text written by member-state authorities. The exception review covered only 60 records. Over 15,544 notices: ~0.4% name a person, and 33 contain an email address.</p></div>
-      <div><h4>Fix</h4><p>Cite both the TED terms and the Polish public-body basis. Run a name and email scan, or NERGAL, over the full set.</p></div>
-    </div>
-  </article>
-
-  <article class="src minor" id="kultura_bez_barier_pl">
-    <header><h3>kultura_bez_barier_pl</h3><span class="pill p-minor">Minor</span><span class="reg">unreleased · <code>CC-BY-SA-3.0</code> · <code>src/build_kultura_bez_barier_pl.py</code></span></header>
-    <div class="grid">
-      <div><h4>Problem</h4><p>The licence is stated only at catalogue level ("CC BY-SA 3.0"). Only <code>jak_udostepniac_kulture</code> embeds a line, and it is unversioned ("CC BY-SA"). The other 8 PDFs have none. The two guides co-owned with NIMOZ are already dropped.</p></div>
-      <div><h4>Fix</h4><p>In the card, cite the embedded line and state the version gap. Handle the phone numbers in <code>podsumowanie_wizyt_studyjnych</code> separately as PII.</p></div>
-    </div>
-  </article>
-</section>
-
-<!-- ============ CLEAN ============ -->
-<section>
-  <h2>Clean: small notes only</h2>
-  <div class="cols">
-    <article class="src clean" id="dziennik_ustaw">
-      <header><h3>dziennik_ustaw</h3><span class="pill p-clean">Clean</span><span class="rel">v0.2.5</span></header>
-      <p>Fetched directly via the ELI API (<code>fetch_eli.py</code>); Art. 4(1)–(2) applies. 35,442 docs. There are 7 <code>©</code> hits, none a third-party work.</p>
-      <p><b>Fix:</b> the card gives 1918–2025, but the fetcher defaults to 1990–2025. Reconcile them.</p>
-    </article>
-    <article class="src clean" id="eltec_pol">
-      <header><h3>eltec_pol</h3><span class="pill p-clean">Clean</span><span class="rel">v0.2.5</span></header>
-      <p>100 Polish originals. The latest author death is Makuszyński (1953). Every TEI header carries CC BY 4.0.</p>
-      <p><b>Fix:</b> add authors to the card. Dedup against <code>wolne_lektury</code> (~40 shared texts) and <code>1000_novels</code>.</p>
-    </article>
-    <article class="src clean" id="studia_bas">
-      <header><h3>studia_bas</h3><span class="pill p-clean">Clean</span></header>
-      <p>112 records, all from issues 66–82 (2021 onward); the earlier "all rights reserved" issues are excluded. Wikipedia gives CC BY 3.0 from issue 2/2021, but DOAJ lists 4.0.</p>
-      <p><b>Fix:</b> someone with a normal browser should check the journal's site (it's behind a CAPTCHA) and settle 3.0 PL vs 4.0 in the registry.</p>
-    </article>
-    <article class="src clean" id="edukacja_medialna_pl">
-      <header><h3>edukacja_medialna_pl</h3><span class="pill p-clean">Clean</span></header>
-      <p>Each lesson page carries a CC BY-SA 3.0 line from the publisher, FNP. Third-party text is negligible.</p>
-      <p><b>Optional:</b> drop the 3 quote passages, e.g. the Michera quote in <code>montaz-materialu-filmowego</code>.</p>
-    </article>
-    <article class="src clean" id="open_icm_pl">
-      <header><h3>open_icm_pl</h3><span class="pill p-clean">Clean</span></header>
-      <p>85 of 85 records match live DSpace <code>dc.rights</code>, versions included. An allowlist rejects NC/ND. No action.</p>
-    </article>
-    <article class="src clean" id="open_agh_chemistry_pl">
-      <header><h3>open_agh_chemistry_pl</h3><span class="pill p-clean">Clean</span></header>
-      <p>4 of 4 EPUB rights pages match the recorded SHA-256 hashes and say BY-SA 4.0. The "3.0 PL" strings appear only in image captions, and images aren't included.</p>
-      <p><b>Fix:</b> archive the rights pages in Wayback, since no historical copy exists.</p>
-    </article>
-    <article class="src clean" id="rock_pollub_pl">
-      <header><h3>rock_pollub_pl</h3><span class="pill p-clean">Clean</span></header>
-      <p>The fetcher keeps only items that are BY-SA 4.0 in both the facet and the PDF <code>dc.rights</code>; 8 of 8 match live, and the colophons agree. No action.</p>
-    </article>
-    <article class="src clean" id="wiadomosci_statystyczne_pl">
-      <header><h3>wiadomosci_statystyczne_pl</h3><span class="pill p-clean">Clean</span></header>
-      <p>The licence is BY-SA 4.0 from 2022, granted by the authors. A per-article line is required, so 169 articles from 2022 onward are shipped, and 21 of 21 live pages match. No action.</p>
-    </article>
-  </div>
-</section>
-
-<!-- ============ SAOS ============ -->
-<section>
-  <h2>Pending: SAOS (PR #21)</h2>
-  <article class="src minor" id="saos">
-    <header><h3>saos</h3><span class="pill p-minor">Minor</span><span class="reg">PR head <code>bd16dda</code> · <code>release: None</code> · <code>src/fetch_saos.py</code> via HF <code>PiotrSty/saos-polish-court-judgments@736cba4</code> (<code>license: unknown</code>)</span></header>
-    <div class="grid">
-      <div><h4>Why it isn't HPLT-class</h4><p>The basis is a statutory exclusion: court judgments are not protected by copyright (Copyright Act Art. 4(2)). It is not a packaging licence. It still fails the per-record evidence bar in three places, and the basis is not confirmed.</p></div>
-      <div><h4>Evidence</h4><ul>
-        <li><span class="tag">V</span> 20 of 20 IDs match live SAOS after the PR's normalisation. The snapshot covers 54.9% of live SAOS (296,692 of 540,726).</li>
-        <li><span class="tag">V</span> SAOS publishes no licence or regulamin (<code>/regulamin</code> returns 404) and disclaims responsibility for content. TK requires a "processed data" notice (Open Data Act Art. 15(1)). SN and KIO terms weren't found.</li>
-        <li><span class="tag">I</span> About 450 TK documents carry dissenting opinions. About 1.1% of chars are quoted third-party material, and 2.3% of rows have a quoted span of 1,000+ chars.</li>
-        <li><span class="tag">V</span> 4,541 KIO rows duplicate <code>uzp_orzeczenia_pl</code>. <code>overlap_audit.json</code> on main ran with <code>saos_rows: 0</code>.</li>
-      </ul></div>
-      <div class="full"><h4>Before merge</h4><ol>
-        <li>Add the "processed data" notice and source/time attribution to <code>NOTICE.md</code> and the card.</li>
-        <li>State that SAOS publishes no licence and disclaims responsibility for content, and that the HF intermediary is <code>license: unknown</code>.</li>
-      </ol></div>
-      <div class="full"><h4>Before release</h4><ol>
-        <li>A formal Polish legal opinion covering reasons, dissents, KIO and TK, and quoted material.</li>
-        <li>Strip or exclude TK dissents.</li>
-        <li>Replace the regex-only PII scrub with NERGAL.</li>
-        <li>Dedup KIO against <code>uzp_orzeczenia_pl</code>.</li>
-        <li>Re-pull from the <a href="https://www.saos.org.pl/api/dump/judgments">SAOS dump API</a> and record the date.</li>
-        <li>Add a takedown path.</li>
-        <li>Obtain SN and KIO terms.</li>
-      </ol></div>
-      <div class="full note">Not reviewed: most of <code>src/fetch_saos.py</code> (only the first ~140 of 1,014 lines), <code>test_saos_contract.py</code> and <code>artifacts/saos_*</code>. <code>license-evidence.json</code> copies the Open Data Act list from sejm_api, so the two sources read as equally reviewed when they aren't.</div>
-    </div>
-  </article>
-</section>
-
-<section>
-  <h2>Cross-cutting</h2>
-  <ul class="prose">
-    <li><b>Paper:</b> <code>main.tex:46</code> must change. Either name the remaining unresolved sources, or remove them so the sentence becomes true. Also update the admission section and the source table, then run <code>verify_paper_claims.py</code>.</li>
-    <li><b>Registry hygiene:</b>
-      <ul>
-        <li><code>european_hplt_v3_pl</code> is still registered with <code>release: 0.2.3</code> but has no data. Keep it with a <code>legal_note</code>.</li>
-        <li><code>europeana</code> and <code>parlamint_pl</code> are registered with no data on main.</li>
-        <li>The <code>sources.py</code> docstring still says all data comes from SpeakLeash.</li>
-      </ul>
-    </li>
-    <li><b>Intermediary snapshots:</b> these sources have a chain of title through intermediaries, and each card should name the intermediary and its licence field:
-      <ul>
-        <li>PiotrSty: sejm_api, sejm_api_2011_2022, uzp_orzeczenia_pl, fandom_pl, nonsa, edukacja_medialna_pl, saos.</li>
-        <li>dawidmajewski: samorzad_gov_pl.</li>
-        <li>SpeakLeash: wikipedia, wikisource, wolne_lektury, 1000_novels, eurlex, parliamentary.</li>
-      </ul>
-    </li>
-    <li><b>Dedup sets:</b>
-      <ul>
-        <li>sejm_api_2011_2022, parliamentary and parlamint_pl.</li>
-        <li>saos KIO and uzp_orzeczenia_pl.</li>
-        <li>wolne_lektury, 1000_novels and eltec_pol.</li>
-      </ul>
-    </li>
-    <li><b>NERGAL pending:</b> sejm_api_2011_2022, sejm_interpellations, ted_pl, nonsa, saos.</li>
-    <li><b>Licence parsers:</b> fetchers that hard-code a licence (openstax, nkjp, fandom) should read it from the upstream page and fail closed on NC/ND or AI-use clauses.</li>
-  </ul>
-</section>
-
-</div>

artifacts/rights_audit_2026-10/academic/bn.py

@@ -1,19 +0,0 @@
-import json, sys, urllib.request, os, time
-UA="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 Chrome/124 Safari/537.36"
-def get(typ,i):
-    fn=f"cache/{typ}_{i}.json"
-    os.makedirs("cache",exist_ok=True)
-    if os.path.exists(fn): return json.load(open(fn))
-    for a in range(3):
-        try:
-            r=urllib.request.Request(f"https://bibliotekanauki.pl/api/{typ}/{i}",headers={"User-Agent":UA,"Accept":"application/json","Referer":"https://bibliotekanauki.pl/"})
-            d=json.load(urllib.request.urlopen(r,timeout=30))
-            json.dump(d,open(fn,"w"),ensure_ascii=False); return d
-        except Exception as e:
-            err=e; time.sleep(2)
-    return {"_err":str(err)}
-if __name__=="__main__":
-    for a in sys.argv[1:]:
-        typ,i=a.split("/")
-        d=get(typ,i)
-        print(a, json.dumps(d.get("license"),ensure_ascii=False), "restricted=",d.get("restricted"), d.get("_err"))

artifacts/rights_audit_2026-10/academic/bn_sample.py

@@ -1,19 +0,0 @@
-import pandas as pd, json
-from concurrent.futures import ThreadPoolExecutor
-import bn
-df=pd.read_pickle('bn_meta2.pkl')
-s=pd.concat([
- df[df.license=='cc-by'].sample(260,random_state=1),
- df[df.license=='cc-by-sa'].sample(260,random_state=2),
- df[df.license=='public-domain'],
- df[(df.typ!='articles')].sample(60,random_state=3),
-]).drop_duplicates('id')
-def f(r):
-    d=bn.get(r.typ,r.num)
-    l=d.get('license') or {}
-    return dict(id=r.id,pq=r.license,lid=l.get('id'),icon=l.get('iconId'),name=l.get('nameEn'),restricted=d.get('restricted'),err=d.get('_err'),year=r.year, attr=r.attribution)
-with ThreadPoolExecutor(6) as ex: res=list(ex.map(f,s.itertuples()))
-out=pd.DataFrame(res); out.to_pickle('bn_sample_res.pkl')
-print(len(out)); print(out.err.notna().sum())
-print(out.groupby(['pq','lid','name'],dropna=False).size())
-print((out.pq!=out.icon).sum(), out.restricted.value_counts())

artifacts/rights_audit_2026-10/govweb/g1.py

@@ -1,24 +0,0 @@
-import pyarrow.parquet as pq, pandas as pd, re, random
-df=pq.read_table('data/govpl/govpl.parquet',columns=['id','text','created']).to_pandas()
-df.to_pickle('govpl.pkl')
-print(len(df), df.text.str.len().describe())
-pats={
- 'PAP':r'\bPAP\b',
- 'za:':r'(?m)^\s*(za|Za):',
- 'Źródło':r'(?i)źród[łl]o\s*:',
- 'wywiad':r'(?i)\bwywiad',
- 'w rozmowie z':r'(?i)w rozmowie z',
- '©':r'©',
- 'licencja':r'(?i)licencj',
- 'fot.':r'(?i)\bfot(o|\.)',
- 'Autor:':r'(?m)^\s*(Autor|Autorzy|Tekst)\s*:',
- 'CC BY':r'(?i)\bCC[ -]BY',
- 'wszelkie prawa':r'(?i)wszelkie prawa',
- 'prawa autorskie':r'(?i)prawa autorskie',
- 'gazeta/rzeczpospolita':r'(?i)(rzeczpospolit|gazeta wyborcza|dziennik gazeta|onet|wp\.pl|polityka\b|newsweek|tvn24|polsat)',
- 'felieton/opinia':r'(?i)(felieton|op-ed|komentarz eksperta|artyku[łl] (gościnny|autorski))',
- 'tłumaczenie':r'(?i)(tłumaczenie|przekład)',
-}
-for k,p in pats.items():
-    c=df.text.str.contains(p,regex=True).sum()
-    print(f'{k:25s} {c:6d} {c/len(df):.3%}')

artifacts/rights_audit_2026-10/govweb/g2.py

@@ -1,15 +0,0 @@
-import pandas as pd, re, random
-df=pd.read_pickle('govpl.pkl')
-def ctx(p,n=8,w=200,seed=1):
-    m=df[df.text.str.contains(p,regex=True)]
-    print('###',p,len(m))
-    for _,r in m.sample(min(n,len(m)),random_state=seed).iterrows():
-        mm=re.search(p,r.text)
-        print(r.id,'|',r.text[:80].replace('\n',' '),'||',re.sub(r'\s+',' ',r.text[max(0,mm.start()-w):mm.end()+w]))
-        print()
-ctx(r'\bPAP\b')
-ctx(r'(?i)źród[łl]o\s*:')
-ctx(r'©')
-ctx(r'(?i)\bCC[ -]BY')
-ctx(r'(?i)wszelkie prawa')
-ctx(r'(?m)^\s*(Autor|Autorzy|Tekst)\s*:')

artifacts/rights_audit_2026-10/govweb/g3.py

@@ -1,19 +0,0 @@
-import pandas as pd, re, collections
-df=pd.read_pickle('govpl.pkl')
-src=re.compile(r'(?i)\bźr[óo]d[łl]o\s*:\s*/?\s*([^\n]{0,100})')
-c=collections.Counter(); rows=[]
-for i,t in zip(df.id,df.text):
-    ms=list(src.finditer(t))
-    if ms:
-        m=ms[-1]
-        v=re.sub(r'\s*Zdjęcia.*$','',m.group(1)).strip(' /')
-        c[v]+=1; rows.append((i,v))
-print(len(rows))
-for v,n in c.most_common(70): print(n,v)
-pap=[r for r in rows if re.search(r'(?i)\bPAP\b',r[1])]
-print('source-line PAP:',len(pap))
-# other media in source lines
-media=re.compile(r'(?i)(rzeczpospolit|gazeta|dziennik|onet|wp\b|polsat|tvn|tvp|radio|polskie radio|interia|money\.pl|forsal|business insider|reuters|afp|ap\b|bbc|polityka|newsweek|wprost|\.pl\b|\.com)')
-oth=[r for r in rows if media.search(r[1])]
-print('source-line media-ish:',len(oth))
-for r in oth[:40]: print(r)

artifacts/rights_audit_2026-10/govweb/g4.py

@@ -1,6 +0,0 @@
-import pandas as pd, re
-df=pd.read_pickle('govpl.pkl')
-s=df.sample(200,random_state=42)
-for _,r in s.iterrows():
-    t=r.text
-    print(r.id,'|',t[:70].replace('\n',' '),'...',re.sub(r'\s+',' ',t[-170:]))

artifacts/rights_audit_2026-10/govweb/g5.py

@@ -1,16 +0,0 @@
-import pandas as pd, re
-df=pd.read_pickle('govpl.pkl')
-s=df.sample(200,random_state=42)
-M={'PAP':r'\bPAP\b','src':r'(?i)\bźr[óo]d[łl]o\s*:','wywiad':r'(?i)\bwywiad','rozmowie':r'(?i)w rozmowie z','Tekst:':r'(?m)^\s*Tekst\s*:','©':'©','cytat/list':r'(?i)\b(list|apel|oświadczenie|komunikat)\b','tel':r'\btel\.'}
-n=0
-for _,r in s.iterrows():
-    t=r.text
-    f=[k for k,p in M.items() if re.search(p,t)]
-    f=[x for x in f if x not in('cytat/list','tel')]
-    if f:
-        n+=1
-        print(r.id,f,'|',t[:60].replace('\n',' '),'...',re.sub(r'\s+',' ',t[-120:]))
-print('flagged',n,'of 200')
-# Zdjęcia(N) sign: photo gallery presence
-print('has Zdjęcia(N):',s.text.str.contains(r'Zdjęcia \(\d+\)').sum())
-print('has photo credit "Fot.|Zdjęcia:|Foto":',s.text.str.contains(r'(?i)\b(fot\.|foto:|zdjęcia:|zdjęcie:)').sum())

artifacts/rights_audit_2026-10/govweb/g6.py

@@ -1,15 +0,0 @@
-import pandas as pd, re
-df=pd.read_pickle('govpl.pkl')
-T=df.set_index('id').text
-for i in ['govpl_25749','govpl_26309']:
-    print(i, len(T[i])); print(T[i][:1500]); print('....', T[i][-300:]); print('==========')
-cats={'srcline_PAP':r'(?i)\bźr[óo]d[łl]o\s*:\s*/?[^\n]{0,60}\bPAP\b',
-'rozmowie_z_PAP':r'(?i)(rozmow\w+|wywiad\w*|wypowied\w+|powiedział\w*|mówi\w*)[^\n]{0,60}\b(dla|z|w) (PAP|Polskiej Agencji Prasowej)',
-'Polska Agencja Prasowa':r'(?i)Polsk(a|iej|ą) Agencj\w+ Prasow',
-'Fot PAP':r'(?i)\bfot\w*\.?:?[^\n]{0,60}\bPAP\b',
-}
-for k,p in cats.items():
-    print(k, df.text.str.contains(p,regex=True).sum())
-any_pap = df.text.str.contains(cats['srcline_PAP'],regex=True)
-print('srcline PAP ids range:', df[any_pap].id.str.replace('govpl_','').astype(int).describe()[['min','25%','50%','75%','max']].tolist())
-print('chars in srcline PAP docs', df[any_pap].text.str.len().sum()/df.text.str.len().sum())

artifacts/rights_audit_2026-10/govweb/g7.py

@@ -1,18 +0,0 @@
-import json,re,subprocess,concurrent.futures as cf,html
-m=json.load(open('src/govpl_subsites.json'))['subsites']
-def get(s):
-    slug=s['slug']
-    r=subprocess.run(['curl','-sL','-m','30','-A','Mozilla/5.0',f'https://www.gov.pl/web/{slug}'],capture_output=True)
-    t=r.stdout.decode('utf8','ignore')
-    txt=html.unescape(re.sub(r'<[^>]+>',' ',t)); txt=re.sub(r'\s+',' ',txt)
-    return slug,len(t),'CC BY-SA 4.0' in txt,'CC BY-NC-ND' in txt,[x for x in re.findall(r'[^.]{0,150}(?:prawa autorskie|przedruk|licencj)[^.]{0,200}',txt)][:3]
-res=[]
-with cf.ThreadPoolExecutor(6) as ex:
-    for r in ex.map(get,m): res.append(r)
-json.dump(res,open('subsite_footers.json','w'),ensure_ascii=False)
-print(len(res),'with CC BY-SA 4.0 footer:',sum(r[2] for r in res))
-for r in res:
-    if not r[2]: print('NO FOOTER',r[:2])
-import collections
-c=collections.Counter(json.dumps(r[4],ensure_ascii=False)[:300] for r in res)
-for k,v in c.most_common(8): print(v,k)

artifacts/rights_audit_2026-10/govweb/g8.py

@@ -1,12 +0,0 @@
-import pandas as pd, re
-df=pd.read_pickle('govpl.pkl')
-df['title']=df.text.str.split('\n').str[0]
-p=r'(?i)(wywiad|rozmow[aęy]|w rozmowie|felieton|artykuł (ministra|wiceministra|premiera)|op-ed|dla (gazety|dziennika|tygodnika|radia|tvp|tvn|polsat|rzeczpospolit|onet|wp)|na łamach|w mediach|przegląd prasy|prasa o)'
-m=df[df.title.str.contains(p,regex=True)]
-print('title hits',len(m))
-for _,r in m.sample(40,random_state=3).iterrows(): print(r.id,r.title[:150])
-p2=r'(?i)(na łamach|w wywiadzie dla|artykuł (opublikowany|ukazał)|opublikowany (w|na) (dzienniku|gazecie|tygodniku|portalu)|wywiad (udzielony|dla)|za zgodą (redakcji|wydawcy|autora)|przedruk)'
-m2=df[df.text.str.contains(p2,regex=True)]
-print('body hits (reprint-ish)',len(m2))
-for _,r in m2.sample(25,random_state=3).iterrows():
-    mm=re.search(p2,r.text); print(r.id,'|',re.sub(r'\s+',' ',r.text[max(0,mm.start()-120):mm.end()+160]))

artifacts/rights_audit_2026-10/govweb/g9.py

@@ -1,9 +0,0 @@
-import pandas as pd, re
-df=pd.read_pickle('govpl.pkl'); df['title']=df.text.str.split('\n').str[0]
-T=df.set_index('id')
-for pat in [r'^Rozmowy z Ekspertami',r'^Prokuratorzy w mediach']:
-    m=df[df.title.str.contains(pat)]; print(pat,len(m))
-for i in ['govpl_46631','govpl_70231']:
-    print(i,len(T.text[i])); print(T.text[i][:900]); print('....',T.text[i][-300:]); print('=======')
-print(df[df.title.str.contains(r'(?i)^Wywiad')].shape, df[df.title.str.contains(r'(?i)wywiad')].shape)
-for _,r in df[df.title.str.contains(r'(?i)wywiad')].sample(15,random_state=1).iterrows(): print(r.id,r.title[:140])

artifacts/rights_audit_2026-10/govweb/s1.py

@@ -1,9 +0,0 @@
-import pyarrow.parquet as pq, pandas as pd, re, json, collections
-base='data/samorzad_gov_pl/'
-df=pq.read_table(base+'samorzad_gov_pl.parquet',columns=['id','text','author','created']).to_pandas()
-att=pd.read_json(base+'samorzad_gov_pl.attribution.jsonl',lines=True)[['id','title','tenant','publisher','publisher_type','source_url']]
-df=df.merge(att,on='id',how='left')
-df.to_pickle('samorzad.pkl')
-print(len(df)); print(df.publisher_type.value_counts().to_string())
-print(df.publisher.nunique())
-print(df.text.str.len().describe())

artifacts/rights_audit_2026-10/govweb/s2.py

@@ -1,21 +0,0 @@
-import pandas as pd, re, warnings; warnings.filterwarnings('ignore')
-df=pd.read_pickle('samorzad.pkl')
-pats={
- 'PAP':r'\bPAP\b',
- 'Źródło:':r'(?i)\bźr[óo]d[łl]o\s*:',
- 'za:':r'(?m)^\s*za\s*:',
- '©':'©',
- 'Autor:':r'(?mi)^\s*(autor|autorka|autorzy|tekst|opracowanie|zdjęcia|foto|fot\.)\s*:',
- 'wiersz/poezja':r'(?i)\b(wiersz|wierszy|poezj|poemat|opowiadani|fraszk)',
- 'konkurs-prace':r'(?i)(praca konkursowa|prace konkursowe|nagrodzon\w+ prac|laureat\w* konkurs)',
- 'regionalna prasa':r'(?i)(gazeta (wyborcza|krakowska|lubelska|współczesna)|dziennik (polski|zachodni|łódzki|bałtycki)|echo dnia|nowiny|tygodnik|kurier)',
- 'wywiad':r'(?i)\bwywiad',
- 'CC':r'(?i)\bCC[ -]BY',
- 'licencja':r'(?i)\blicencj',
- 'prawa autorskie':r'(?i)(prawa autorskie|prawami autorskimi|utwór chroniony)',
- 'Facebook':r'(?i)(facebook|fb\.com)',
- 'tłumaczenie':r'(?i)tłumaczeni',
- 'cytat z książki':r'(?i)(fragment (książki|powieści|tomiku)|za:)',
-}
-for k,p in pats.items():
-    c=df.text.str.contains(p,regex=True).sum(); print(f'{k:20s} {c:6d} {c/len(df):.2%}')

artifacts/rights_audit_2026-10/govweb/s3.py

@@ -1,12 +0,0 @@
-import pandas as pd, re, warnings, collections; warnings.filterwarnings('ignore')
-df=pd.read_pickle('samorzad.pkl')
-def ctx(p,n=10,w=170,seed=2):
-    m=df[df.text.str.contains(p,regex=True)]
-    print('###',p,len(m))
-    for _,r in m.sample(min(n,len(m)),random_state=seed).iterrows():
-        mm=re.search(p,r.text)
-        print(r.publisher,'|',r.title[:60],'||',re.sub(r'\s+',' ',r.text[max(0,mm.start()-w):mm.end()+w]));print()
-ctx(r'(?i)\bźr[óo]d[łl]o\s*:',12)
-ctx(r'(?mi)^\s*(autor|autorka|autorzy)\s*:',10)
-ctx(r'(?i)(prawa autorskie|prawami autorskimi|utwór chroniony)',8)
-ctx(r'(?i)\blicencj',6)

artifacts/rights_audit_2026-10/govweb/s4.py

@@ -1,30 +0,0 @@
-import pandas as pd, re, warnings, collections; warnings.filterwarnings('ignore')
-df=pd.read_pickle('samorzad.pkl')
-T=lambda p: df.text.str.contains(p,regex=True)
-imgw=T(r'Opracowanie niniejsze i jego format')
-print('IMGW reserved-rights notice:',imgw.sum(), df[imgw].publisher.nunique(),'publishers; chars',df[imgw].text.str.len().sum())
-print(T(r'(?i)wszelkie prawa zastrzeżone').sum(),'wszelkie prawa zastrzeżone')
-print(T(r'(?i)(zakaz|zabronione|bez zgody (autora|redakcji|wydawcy))[^.]{0,60}(kopiowan|rozpowszechnian|powielan|przedruk)').sum(),'no-copy phrases')
-cyc=df.title.str.contains(r'(?i)cykl wierszy|piątek z poezj|wiersz')
-print('title wiersz/cykl:',cyc.sum()); print(df[cyc].publisher.value_counts().head(8).to_string())
-sok=df[df.title.str.contains(r'(?i)cykl wierszy')]
-print('Cykl wierszy docs',len(sok), sok.publisher.unique())
-print(sok.text.str.contains(r'(?i)wydawca|wydawnictwo|wydanie').sum(),'with publisher/Wydawnictwo mention')
-# poems in body: heuristic - many short lines
-def poemish(t):
-    ls=[l for l in t.split('\n') if l.strip()]
-    if len(ls)<8: return False
-    short=sum(1 for l in ls if len(l)<55)
-    return short/len(ls)>0.8
-pm=df.text.map(poemish)
-print('poem-ish (>=8 lines, >80% short lines):',pm.sum())
-print(df[pm].publisher.value_counts().head(8).to_string())
-for _,r in df[pm].sample(8,random_state=1).iterrows(): print(r.publisher,'|',r.title[:70])
-# source lines
-src=re.compile(r'(?im)\bźr[óo]d[łl]o\s*:\s*([^\n]{0,80})')
-c=collections.Counter(); n=0
-for t in df.text:
-    ms=list(src.finditer(t))
-    if ms: n+=1; c[ms[-1].group(1).strip()[:50]]+=1
-print('docs w/ Źródło:',n)
-for v,k in c.most_common(35): print(k,v)

artifacts/rights_audit_2026-10/govweb/s5.py

@@ -1,12 +0,0 @@
-import pandas as pd, re, warnings; warnings.filterwarnings('ignore')
-df=pd.read_pickle('samorzad.pkl')
-s=df.sample(200,random_state=7)
-pat=re.compile(r'(?i)(źródło:|autor:|autorstwa|fot\.|wiersz|PAP\b|Polska Agencja Prasowa|za\s+portalem|za\s+(?:gazet|tygodnik|dziennik)|cytat|wywiad|prawa autorskie|konkurs)')
-n=0
-for i,(_,r) in enumerate(s.iterrows()):
-    ms=[m for m in pat.finditer(r.text)]
-    if ms:
-        n+=1
-        kinds=sorted({m.group(1).lower() for m in ms})
-        print(i,r.publisher[:35],'|',r.title[:50],'|',kinds[:6])
-print('flagged',n,'/200')