Squash history: withdraw the Sejm's interpellations from parliamentary until v0.2.7

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Co-authored-by: claude opus 5.5 <claude opus 5.5@users.noreply.huggingface.co>
Co-authored-by: PiotrSty <PiotrSty@users.noreply.huggingface.co>
Co-authored-by: Maggio33 <Maggio33@users.noreply.huggingface.co>
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.agents/skills/source-rights-review/SKILL.md

@@ -0,0 +1,242 @@
+---
+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

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+# 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

@@ -0,0 +1,145 @@
+# 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

@@ -0,0 +1,152 @@
+# 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

@@ -0,0 +1,63 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm 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
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+# Per-source audit trails: one rule for all sources, so source PRs don't edit this file
+data/*/*.attribution.jsonl filter=lfs diff=lfs merge=lfs -text
+data/*/*.decisions.jsonl filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,21 @@
+logs/
+data/common_corpus_pl/
+data/european_hplt_pl/
+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

@@ -0,0 +1,340 @@
+# AGENTS.md
+
+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:
+
+- 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.
+
+So datasheets and the README narrative are **hand/contributor-maintained**.
+Never run `make_docs.py` and commit the result blind — `git diff` first and
+restore anything it dropped or restamped.
+
+## Before you start: check the findings log
+
+`artifacts/source_findings.md` records sources already investigated, including
+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>/`:
+   - `<key>.parquet` — built by `src/build_dynaword.py` (LFS-tracked automatically).
+   - `<key>.stats.json` — doc/token/char counts (drives all totals).
+   - `<key>.md` — datasheet (see below).
+2. Add the ingestion script: `src/fetch_<key>.py` or `src/clean_<key>.py`, so the
+   source is reproducible. `build_source` (build_dynaword.py) expects a
+   `<file_key|speakleash_key>.jsonl.zst` intermediate.
+3. Register the source in `src/sources.py` (`SOURCES`) — required, or make_docs
+   never sees it. Copy an existing entry's shape: `pretty`, `license`,
+   `license_spdx`, `traceable`, `upstream`, `domain`, `created`, `is_ocr`, and the
+   `speakleash_key`/`file_key`. If the datasheet is hand-authored (rich provenance
+   or a fixed add date), add `"custom_datasheet": True` so make_docs leaves it
+   alone.
+
+   Also set `added` (the real add date) and `release`. `release` is what admits a
+   source to a release's totals: `None` means "on main, not in any release yet",
+   which is the correct value for a new source until the release that ships it is
+   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`.
+
+### Keep the PR to your source
+
+Many source PRs are open at once, and each one that touches shared files
+conflicts with the others. A source PR changes only:
+
+- `data/<key>/*`, `src/fetch_<key>.py` / `src/clean_<key>.py`,
+  `src/test_<key>_contract.py`;
+- **one** new entry in `src/sources.py`, with `release: None`;
+- your entry appended to `artifacts/source_findings.md`.
+
+It does **not** touch `README.md`, `CHANGELOG.md`, `VERSION`/`RELEASE_DATE` in
+`src/make_docs.py`, the phrase-frequency report, `AGENTS.md`, or other sources'
+fetchers — those change in the release commit (below) or in their own PR.
+`.gitattributes` already LFS-tracks `data/*/*.attribution.jsonl` and
+`*.decisions.jsonl`; do not add per-file lines.
+Commit with LF line endings — a CRLF `sources.py` shows as a whole-file rewrite
+and conflicts with every other PR. Rebase onto `main` before asking for review.
+
+## What the PR must show
+
+These two are not optional — they are the difference between a source a reviewer
+can accept and one that sits in the queue. Treat every source PR as a worked
+example other contributors will copy.
+
+1. **A sample of the data, inline in the PR description.** A few real documents
+   (or truncated ones), verbatim, so a reviewer can see at a glance what kind of
+   text this actually is — prose, transcripts, boilerplate, OCR noise, HTML
+   leftovers. Include the metadata columns too, not just `text`. Don't make the
+   reviewer download a parquet to find out — and a linked `.sample.jsonl` is not
+   a substitute: on the Hub it renders as one escaped line per document.
+
+   Generate it from the built shard and paste the output into the PR description:
+   ```bash
+   python3 src/render_sample.py data/<key>/<key>.parquet -n 3
+   ```
+   Each document is a fenced block — metadata as `key: value` lines, a blank
+   line, then the text with its real line breaks, truncated with `[…]`:
+   ````
+   ```
+   id: sejm_interpellations_2388
+   source: sejm_interpellations
+   added: 2026-07-19
+   token_count: 415
+   license: public-domain (official documents)
+   author: Daniel Milewski
+
+   Szanowny Panie Ministrze,
+
+   latem 2022 roku na podlaskiej części granicy z Białorusią ukończono […]
+   ```
+   ````
+   Pick rows that show the typical document; if the source has distinct
+   document types (question vs reply, article vs talk page), show one of each.
+
+2. **Provenance and licensing, written out in the datasheet (`data/<key>/<key>.md`)
+   and summarized in the PR description:**
+   - Where the data comes from — the concrete origin (institution, portal, API,
+     dump), not just a domain name. Link it.
+   - Under what license, and **where that license statement lives** — link the
+     exact terms-of-use page, API docs section, or statute. "Public domain
+     because it's government data" is a claim, not a source; cite the provision.
+   - What the texts are — genre, register, time span, language variety, whether
+     they are OCR'd, machine-translated, or user-generated.
+   - How it was collected and filtered — dedup, minimum length, language ID,
+     anything dropped and why.
+   - The argument for inclusion — what this adds that the corpus does not
+     already have, and any known bias or quality caveat a downstream user should
+     weigh.
+
+Yes, this is meta work on top of the fetching. That is the point: the datasheet
+is the artifact other people read to learn how to contribute well.
+
+## Normalize the text before you build
+
+`build_dynaword.py` applies only *minimal gates* — strip, `len < 200`, Polish
+diacritic ratio, OCR alpha ratio, exact sha1 dedup. It does **not** clean text.
+`src/normalize_schema.py` is a schema/stats tool despite the name; it never
+touches `text`. So normalization is the fetcher's job, and today each fetcher
+reimplements it (`fetch_govpl.py:43` and `fetch_saos.py:42` carry byte-identical
+`html_to_text`; `clean_samorzad_gov_pl.py:65` a third variant). If you are
+writing a new fetcher, factor the shared parts out rather than pasting a fourth
+copy.
+
+What a fetcher should do to `text` before writing the `.jsonl.zst`:
+
+- **Unicode**: NFKC normalize. Map non-breaking/thin/zero-width spaces to plain
+  space (or drop), strip control characters and soft hyphens, normalize the
+  quote/dash/ellipsis zoo. Repair mojibake if the upstream encoding is unreliable.
+- **Whitespace**: collapse runs of spaces/tabs, trim per line, cap blank runs at
+  one empty line. Do not flatten paragraph breaks — they carry structure.
+- **Structural junk**: navigation, cookie banners, "share this", pagination,
+  footnote back-references, and — for OCR/PDF sources — page headers/footers,
+  running titles, and hyphenation split across line breaks.
+- **Numbering**: strip standalone chapter/section/page numbers and repeated
+  heading numerals (`1.`, `Art. 5.`, `Rozdział III`) *only where they are layout
+  artifacts*. In `dziennik_ustaw` or `saos` the article numbering is content —
+  removing it destroys the document. Judge per source, and say what you did in
+  the datasheet.
+- **Boilerplate**: near-identical blocks repeated across most documents of a
+  source (license footers, institutional disclaimers, "Pokaż odpowiedź"-style UI
+  chrome) should be detected by frequency across the shard and removed, not
+  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.
+  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.
+
+Two rules about all of the above:
+
+1. **The normalization must live in the committed fetch/clean script**, so the
+   shard is reproducible. A shard whose datasheet describes a cleaning step that
+   no script in `src/` performs is not reproducible, however good the intent.
+2. **Report it in the datasheet**: which steps ran, and what the gates dropped.
+   Include a handful of before/after excerpts in the PR — this is the fastest way
+   for a reviewer to see whether normalization ate real content.
+
+## 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`.
+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)`
+   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
+
+`origin` is the Hub itself
+(`https://huggingface.co/datasets/SlayerLab/polish-dynaword`) — there is no GitHub
+remote. `git push` authenticates through the git credential helper (macOS:
+`osxkeychain`), which is separate from `hf auth login`: pushes can work fine while
+`hf auth whoami` still reports "Not logged in". The Python API and `hf` CLI need
+the login (or `HF_TOKEN`).
+
+Hub pull requests use no forks and no named branches. A PR *is* the ref
+`refs/pr/N` and the Hub assigns `N`, so you cannot open one by pushing — the ref
+has to exist first. (Plain branches can be pushed, but a branch is not a PR and
+nobody reviews it.)
+
+Open a PR for work already committed locally:
+
+```bash
+# 1. create the empty PR (needs the write token)
+python3 -c "
+from huggingface_hub import HfApi
+pr = HfApi().create_pull_request(
+    'SlayerLab/polish-dynaword', repo_type='dataset',
+    title='<title>', description='<what changed and why>')
+print(pr.num, pr.url)"
+
+# 2. push your local branch onto that ref
+git push origin <local-branch>:refs/pr/<N>
+```
+
+Opened this way the PR starts in **draft** — publish it from the web UI.
+
+Pick up an existing PR (42 here):
+
+```bash
+GIT_LFS_SKIP_SMUDGE=1 git -c fetch.negotiationAlgorithm=noop fetch origin refs/pr/42:pr/42
+git checkout pr/42
+git push origin pr/42:refs/pr/42
+```
+
+The `noop` negotiation is needed: for some refs the Hub fails the have/ack
+exchange (`fatal: expected 'acknowledgments'`), and skipping it makes the server
+send the full history instead. `GIT_LFS_SKIP_SMUDGE=1` keeps it to pointers;
+pull a single blob with `git lfs pull --include <path>`.
+
+`repo_type='dataset'` is required on every `huggingface_hub` call — this is a
+dataset repo, not a model. Push straight to `main` only when cutting a release.
+
+## Do not commit
+
+`*.log` (fetch/build logs), `.DS_Store`, `src/__pycache__/`. Only `logs/` is in
+`.gitignore` — root-level logs and OS cruft are not, so check `git status`
+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`.
+- `sejm_interpellations` is in `SOURCES` (`release: None`), but its data is held
+  off main until v0.2.7 (letters from the public, some with health details).
+  Its fetch and attribution scripts and tests stay; `src/conftest.py` and the
+  attribution test's own guard skip the tests that read `data/sejm_interpellations/`,
+  and make_docs skips it with `! no stats`.
+- `parliamentary` ships without the Sejm's interpellations, questions and
+  replies of the PPC dump: `HOLD_INTERPELLATIONS` in `src/fetch_parliamentary.py`
+  counts them as `interpellation_held` until v0.2.7 (NERGAL pass). Their code
+  path stays; `test_interpellations_are_built_whole_when_not_held` covers it.
+  For v0.2.7, set the flag to False, rebuild and update the card and stats.
+- `kultura_bez_barier_pl` is in `SOURCES` (`release: None`), but its data is
+  held off main until the scope of its licence is answered. Its build, clean
+  and licence-basis scripts, tests and
+  `artifacts/kultura_bez_barier_pl_ontology_manifest.json` stay; `src/conftest.py`
+  skips the tests that read `data/kultura_bez_barier_pl/`, and make_docs skips it
+  with `! no stats`.
+- The release tags `v0.2.0`-`v0.2.5` were deleted after the October 2026 rights
+  audit, so `git checkout v0.2.x --` and `revision="v0.2.x"` fail for them.
+  The eight builders whose inputs were only there (see CHANGELOG, Unreleased)
+  stay as the record of how v0.2.6 was built; `src/test_cited_paths.py` accepts
+  only `main` and tags from `v0.2.6` on.

CHANGELOG.md

@@ -0,0 +1,413 @@
+# Changelog
+
+## Unreleased (on main)
+
+Main has the same data as v0.2.6.
+
+Repository history (2026-10-29): the Sejm's interpellations, questions and the
+government's replies came out of `parliamentary` until v0.2.7 (286,135
+documents / 391,602,712 tokens), for the same reason as `sejm_interpellations`:
+a typical one is a named person's case, and only the pattern scrub had run on
+them. Main's history was squashed again, the open pull requests were rebuilt on
+it, and the `v0.2.6` tag was re-pointed to the squashed commit. Its Parquet files
+differ from those of the tag's previous target only in `data/parliamentary/` and
+`data/sejm_api_2011_2022/`, whose dedup against `parliamentary` now keeps 11 more
+speeches (8,760 tokens) that only a withdrawn record contained.
+
+Repository history (2026-10-22): after `sejm_interpellations` and
+`kultura_bez_barier_pl` came off main, main's history was squashed again and
+the open pull requests were rebuilt on it. The `v0.2.6` tag was re-pointed to
+the squashed commit, whose data files are byte-identical to those of its
+previous target, d74eda1; the tag message records that target. The release
+tags `v0.2.0`-`v0.2.5` were deleted: they held data that v0.2.6 withdrew or
+changed. Their figures and notes stay in this file and in the README. The
+scripts whose inputs were only in those tags (`clean_biblioteka_nauki`,
+`clean_eurlex`, `clean_govpl`, `clean_wolne_lektury`, `clean_global_voices`,
+`clean_sejm_api`, `build_eltec_pol_attribution` and `clean_1000_novels`) stay
+as the record of how v0.2.6 was built; their pins record which files a rerun
+needs, and a pin mismatch now says the input is no longer published.
+
+Held off main (`release: None`, no data on main): `sejm_interpellations`,
+planned for v0.2.7, `kultura_bez_barier_pl`, until the scope of its licence is
+answered, and `uzp_orzeczenia_pl`, v0.2.8 at the earliest (see "Removed from
+main" under v0.2.6).
+
+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, 3,108,752 documents / 6,645,344,651 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`, both held off main, are
+not in this release, nor are the Sejm's interpellations in `parliamentary`,
+withdrawn on 2026-10-29 (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, 1,097,832 documents / 637,139,168 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: 33,941 documents / 26,877,277 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 2,010,920 documents / 6,008,205,483
+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. The Sejm's interpellations, questions and replies are held until
+  v0.2.7 (withdrawn on 2026-10-29). 43,728 documents / 1,112,524,902 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.
+- `sejm_interpellations` (Paweł Puzio, Hub PR #24; 25,950 documents /
+  28,180,895 tokens) was removed from main on 2026-10-22 until v0.2.7. It
+  quotes letters from the public, some with health details, and only the
+  pre-NERGAL regex scrub has run on it. Its data folder (shard, attribution
+  sidecar, licence evidence, stats and datasheet) comes back with the shard.
+  The registry keeps its `release: None` entry, and
+  `src/fetch_sejm_interpellations.py`,
+  `src/build_sejm_interpellations_attribution.py` and the tests stay; the tests
+  skip while the folder is missing.
+- `kultura_bez_barier_pl` (Piotr Styła, Hub PR #27; 7 documents / 126,743
+  tokens) was removed from main on 2026-10-22 until the scope of its licence is
+  answered: the catalogue's CC BY-SA 3.0 statement may cover only the
+  foundation's accessibility pictograms, not its publications. Its data folder
+  (shard, sample, attribution, decisions, review table, licence-basis evidence,
+  QA, stats, datasheet and NOTICE) comes back with the answer. The registry
+  keeps its `release: None` entry, and `src/build_kultura_bez_barier_pl.py`,
+  `src/clean_kultura_bez_barier_pl.py`, `src/licence_basis_kultura_bez_barier_pl.py`,
+  their tests and `artifacts/kultura_bez_barier_pl_ontology_manifest.json` stay;
+  the tests skip while the folder is missing.
+
+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 were unchanged by it (they were deleted later; see
+  Unreleased). 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 was deleted after the October
+  2026 rights audit; see Unreleased): `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
+  shared samorzad.gov.pl platform.
+- Converted the published, directly collected source dataset at revision
+  `d5eaefc32c3f17cfa5a01d14573f8e4ee7d43385`; retained 72,771 of 81,422
+  records after dropping 6,624 short, 35 below the Polish-language heuristic
+  and 1,992 exact-duplicate records.
+- Preserved the human-readable publishing institution in every `author` value.
+  Added a 72,771-record attribution sidecar with discovered source URLs,
+  fetched final URLs, recommended attribution URLs, titles, institution names,
+  license URLs and modification notices.
+- Added the frozen 247-institution publisher manifest, reproducible conversion
+  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).
+
+## v0.2.4 (2026-08-07)
+
+- Expanded `european_hplt_v3_pl` (Arkadiusz Słota / `Maggio33`) from HPLT v3.0
+  WDS quality bins 10+9 to **WDS bins 10-5**: +1,493,384 documents /
+  2,043,141,874 cl100k-proxy tokens, 100% CC0-1.0. The source total is now
+  1,603,974 documents / 2,555,525,652 tokens.
+- Phone PII-scrub hardening (v12b): an independent-lens deep verification caught
+  a systematic phone recall-gap (~1,900 real phone numbers) that the pipeline's
+  self-report (idempotency) was structurally blind to — address-block
+  suppression, `dzwoń`-label family, leading-0 landline, `+48`-paren,
+  newline-over-span and foreign-UK-bare formats. Fixed and dual-independently
+  verified; the residual 0.0135% is a classified clearance-tail. Phones map to a
+  `[Telefon]` semantic tag (anti-poisoning, not a fake number).
+- Cross-source deduplication of the expansion against the existing WDS-10+9
+  shards: removed 3,038 near-duplicate documents (truncation variants);
+  exact-dup 0, near-dup overlap 0.0000% (byte-verified). Resolves the
+  "downstream near-dedup remains" caveat from the original release.
+- Contract-revalidated the merged parquet (canonical schema, non-empty text,
+  positive token counts, uniform source/license, stats-file consistency).
+- Expanded contributor credit for Arkadiusz Słota (`Maggio33`) for the WDS 10-5
+  expansion, PII-scrub and dedup work.
+- Updated the complete-corpus release totals from per-source parquet stats:
+  4,246,429 documents and 9,597,908,067 cl100k-proxy tokens across 17 sources
+  (also reflects the separately-merged `biblioteka_nauki` source now present on
+  main).
+
+## v0.2.3 (2026-07-26)
+
+- Added the community contribution `european_hplt_v3_pl` by Arkadiusz Słota
+  (`Maggio33`): HPLT v3.0 Polish WDS quality bins 10+9, 110,590 documents and
+  512,383,778 cl100k-proxy tokens under CC0-1.0 packaging.
+- Added the reviewed `global_voices` contribution by Dawid Majewski
+  (`dawidmajewski`): 2,040 documents / 3,715,020 tokens with CC-BY-3.0 and
+  per-document author attribution metadata.
+- Added `nkjp1m` from contributor `1am`: 18,381 documents / 2,601,201 tokens
+  from the manually annotated 1-million-word NKJP subcorpus under the upstream
+  version-unspecified CC-BY statement.
+- Revalidated the contributed parquet against the canonical schema, non-empty
+  text, positive token counts, uniform source/license metadata, and stats-file
+  consistency.
+- Updated the complete 16-source release totals from per-source parquet stats:
+  2,710,974 documents and 6,881,277,362 cl100k-proxy tokens.
+- Recomputed the full-corpus phrase-frequency report and charts. Updated the
+  Arrow reporting path to use 64-bit string offsets for large row groups.
+- Fixed `src/test_hplt_v3_contract.py` to resolve its fixture relative to the
+  repository instead of a contributor-local Windows path.
+- Added public contributor credit for Arkadiusz Słota (`Maggio33`) and Paweł
+  Puzio (`ppuzio`, author of the `govpl` contribution released in v0.2.2), plus
+  Dawid Majewski (`dawidmajewski`) for Global Voices Polish.
+- HPLT caveat: CC0 applies to the HPLT packaging; underlying web documents can
+  carry independent rights. Downstream near-dedup and web-content review remain
+  recommended before training.
+
+## v0.2.2 (2026-07-19)
+
+- Added `govpl` — gov.pl Polish government press releases (CC-BY-SA-4.0),
+  88,190 documents / 80.7M tokens, fetched directly from gov.pl across 133
+  ministry/agency subsites. New scripts: `src/discover_govpl.py` (discovers each
+  subsite's news-section path into the committed `src/govpl_subsites.json`
+  manifest) and `src/fetch_govpl.py` (pure-stdlib crawl of that manifest).
+- Stable totals after adding govpl: 13 sources, 2,579,963 docs, 6.36B tokens
+  (tiktoken proxy).
+- Article date range 2005-09-26 → 2026-07-19. Build dropped 24 non-Polish and
+  deduped 1,926 cross-posted articles (exact sha1).
+
+## v0.3.1-preview (2026-07-10)
+
+- Added a separate 810-document Europeana direct-ingestion preview parquet at
+  `previews/v0.3.1/europeana.parquet`. It was built from 1,000 live API records
+  using per-record rights/creator metadata in 59.4 seconds; 808 retained records are Public
+  Domain Mark and two are CC-BY-SA-4.0.
+- The direct source gate dropped 181 non-Polish and nine OCR-garble records.
+  `dsbench` found unique IDs, no empty text, no duplicate text and no eval-set
+  overlap. Potential-phone matches remain warnings for manual review.
+- This preview does not change v0.2.1 stable totals or promote Europeana to a
+  stable source. It is the measured contract for the full rights-preserving run.
+
+## v0.3.0-preview (in progress)
+
+- Validated the source-policy gate on live local SpeakLeash shards: 12 reviewed
+  sources sampled and cleared blocking checks; four sources remain excluded and
+  two talk-page shards remain on hold pending a separate policy.
+- Ran a direct Europeana 200-record rebuild probe with per-record rights and
+  creator metadata: 197 Public Domain Mark and three CC-BY-SA-4.0 records
+  cleared blocking validation. This is candidate validation, not a release
+  inclusion.
+- Biblioteka Nauki direct probe currently returns HTTP 500 and is held out of
+  the preview until the upstream request is repaired and audited.
+
+## v0.2.1 (2026-07-02)
+
+- Released a stable metadata-schema update: `id, text, source, added, created, token_count, license, author`.
+- Current release totals after parquet recount: 12 sources, 2,491,773 docs, 6.28B tokens (tiktoken proxy).
+- Added `1000_novels` as a stable CC-BY-4.0 literature source.
+- Added source registry entries and PR contract for future `biblioteka_nauki` and `europeana` ingestion with per-document license/author metadata. These sources are not included in v0.2.1 parquets yet.
+- Credited Bart Kobyliński for source expansion work on Biblioteka Nauki and Europeana metadata/rebuild preparation.
+- Kept raw SpeakLeash Europeana excluded unless a direct rebuild preserves per-record rights metadata.
+- Sources: eurlex, parliamentary, wikisource, wikipedia, dziennik_ustaw, wolne_lektury, 1000_novels, wikiquote, eltec_pol, wikivoyage, wikibooks, wikinews.
+- Excluded (see README): open_subtitles_corpus, europeana_eu_pl_corpus_raw_speakleash, project_gutenberg_pl_corpus.

LICENSE

@@ -0,0 +1,9 @@
+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/
+
+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.

NOTICE.md

@@ -0,0 +1,176 @@
+# NOTICE: official Polish sources
+
+This file covers five sources built from Polish official publications:
+`parliamentary`, `sejm_api_2011_2022`, `sejm_api`, `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` 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 and
+  committee transcripts), 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_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).

README.md

@@ -0,0 +1,889 @@
+---
+license: cc-by-sa-4.0
+language:
+- pl
+pretty_name: Polish DynaWord
+task_categories:
+- text-generation
+size_categories:
+- 1M<n<10M
+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)
+family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271)).
+
+[![Model Pulse](https://modelpulse.ifsp.dev/badge/dataset/SlayerLab/polish-dynaword.svg)](https://huggingface.co/spaces/tardellirs/model-pulse?dataset=SlayerLab/polish-dynaword)
+
+> **v0.2.6 stable** · 3,108,752 documents · **6.65B 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 (2026-10-29)** · 27 sources · 3,108,752 documents ·
+> **6.65B tokens**: the same data as v0.2.6. Three registered sources are
+> [held off main](#held-off-main).
+> Cite the `v0.2.6` tag, not main.
+
+> **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.
+
+> **Europeana validation artifact (2026-07-10)** · a separate reproducible
+> 810-document direct-ingestion sample stored under the legacy path
+> `previews/v0.3.1/europeana.parquet`. It is not a full dataset release.
+
+## Releases
+
+### Stable releases
+
+| version | status | documents | tokens | notes |
+|---|---|---:|---:|---|
+| `v0.2.6` | stable release | 3,108,752 | 6.65B | 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`. |
+| `v0.2.4` | 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. The tags `v0.2.0`-`v0.2.5`
+were deleted after the October 2026 rights audit: they held data that v0.2.6
+withdrew or changed ([Withdrawn since v0.2.5](#withdrawn-since-v025),
+[Changes since v0.2.5](#changes-since-v025)). Their notes stay below and in
+`CHANGELOG.md`; `v0.2.6` is the earliest release that can be loaded.
+
+![Stable dataset size by version](artifacts/dataset_size_by_version.png)
+
+### Development and validation artifacts
+
+| name | type | scope | notes |
+|---|---|---|---|
+| `v0.3-dev` | experimental development track | workflow and candidate audits | Quality remix, legal-source caps, source QA, deduplication and direct-upstream ingestion. Not a corpus release. |
+| `Europeana validation artifact 2026-07-10` | reproducible sample | 810 documents / 140,042 tokens | Stored at the legacy path `previews/v0.3.1/europeana.parquet`; preserves per-record rights and creator metadata. Not a corpus release. |
+
+### Version details
+
+#### v0.2.6 — current stable
+
+**27 sources, 3,108,752 documents / 6,645,344,651 cl100k-proxy tokens:**
+
+- adds 12 sources, 1,097,832 documents / 637,139,168 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, 2,010,920 documents / 6,008,205,483
+  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`, both
+  [held off main](#held-off-main), and the Sejm's interpellations in
+  `parliamentary`, held until v0.2.7.
+
+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. 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.
+
+#### v0.2.4 — previous stable
+
+Expanded `european_hplt_v3_pl` from WDS bins 10+9 to **WDS bins 10-5** (added
+quality bins 8/7/6/5 and further WDS-9 shards): **+1,493,384 documents /
+2,043,141,874 cl100k-proxy tokens**, 100% CC0-1.0. Includes a phone PII-scrub
+hardening pass (v12b) verified by two independent lenses (a systematic
+recall-gap masked by pipeline self-report was caught pre-release), and
+cross-source deduplication against the existing WDS-10+9 shards (exact-dup 0,
+near-dup overlap 0.0000%, byte-verified) — resolving the "downstream near-dedup
+remains" caveat from the original release.
+
+#### v0.2.3 — previous stable
+
+Community expansion release. Adds `european_hplt_v3_pl` from
+[PR #5](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/5)
+and `global_voices` from
+[PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7),
+plus `nkjp1m` from
+[PR #8](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/8).
+The complete 16-source release contains **2,710,974 documents /
+6,881,277,362 cl100k-proxy tokens**, summed from the released per-source parquet
+statistics.
+
+#### v0.2.2 — previous stable
+
+Added `govpl` from
+[PR #9](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/9):
+88,190 Polish government press releases collected directly from 133 gov.pl
+ministry and agency subsites.
+
+#### v0.2.1 — previous stable
+
+Introduced the canonical eight-column release schema:
+`id, text, source, added, created, token_count, license, author`. Added
+`1000_novels` from
+[PR #1](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/1)
+and recomputed all release statistics from parquet files.
+
+#### v0.2.0 — initial stable corpus
+
+The provenance-first baseline: 11 reviewed open or official sources,
+2,490,773 documents and 6.22B proxy tokens.
+
+#### v0.3-dev — experimental quality workflow
+
+Candidate-only work on a better-balanced training mixture: legal-source caps,
+temperature sampling, source QA, deduplication and direct-upstream ingestion.
+It is not a replacement for the stable corpus.
+
+#### Europeana validation artifact — 2026-07-10
+
+A separate reproducible 810-document Europeana sample preserving per-record
+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.
+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`.
+3. **Documentation** — a datasheet per source (Gebru et al. 2021) + this card,
+   so provenance and licensing are auditable rather than assumed.
+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).
+
+## Contributors
+
+| contributor | contribution | release / PR |
+|---|---|---|
+| [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` (held off 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) |
+| [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)) |
+| [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` (held off 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.
+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.
+
+## 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 |
+| [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 |
+| [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 43,728 | 1,112.5M |
+| [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)` | 33,941 | 26.9M |
+| [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** | | | **3,108,752** | **6,645.3M** |
+
+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 no release tag holds them: the
+earlier tags were deleted ([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. The Sejm's interpellations, questions and replies are held until
+  v0.2.7 (withdrawn on 2026-10-29). 43,728 documents / 1,112.5M 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)).
+
+## Held off main
+These registered sources (`release: None`) have no data on main and are in no
+release (see `CHANGELOG.md`):
+
+- `sejm_interpellations`, until v0.2.7: it quotes letters from the public, some
+  with health details, and waits for the NERGAL pass.
+- `kultura_bez_barier_pl`, until the scope of its licence is answered.
+- `uzp_orzeczenia_pl`, until v0.2.8: the personal-data pass leaves part of the
+  sole traders' firm names and addresses unmasked.
+
+`parliamentary` ships without the Sejm's interpellations, questions and replies
+of the PPC dump (286,135 documents), held until v0.2.7 for the same reason as
+`sejm_interpellations`.
+
+## Method
+Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
+data. Gates are intentionally minimal (drop short docs, non-Polish, exact duplicates,
+OCR garble); heavy quality filtering and mix-weighting are left to downstream training.
+Evaluation-set decontamination is applied/marked separately. Schema:
+`id, text, source, added, created, token_count, license, author`. The `license`
+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
+heavy in legal/parliamentary language for natural general pretraining. The v0.3
+workflow therefore separates **source inclusion** from **training mix**:
+
+- cap `eurlex + parliamentary + dziennik_ustaw` to roughly **10-20%** of training
+  tokens combined;
+- use source-level temperature sampling (`sqrt`, alpha `0.5`) instead of raw
+  token-proportional sampling;
+- add traceably licensed contemporary/natural Polish: open web, academic prose,
+  cultural heritage text, guides, technical documentation/blogs, Q&A, and
+  dialogue/instruction data;
+- run aggressive exact, normalized, and near-duplicate removal;
+- reserve the final **5-15%** of training for higher-quality sources rather than
+  the largest sources;
+- evaluate per-source perplexity and style contamination, not only global loss.
+
+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.
+- `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.
+
+Current review artifacts:
+
+- `configs/source_candidates_v0_3.json` — candidate decisions and license policy.
+- `artifacts/source_license_review_v0_3.md` — source-by-source license review.
+- `artifacts/source_candidate_audit_v0_3.md` — generated Hugging Face metadata audit.
+- `artifacts/training_mix_v0_3.md` — example 1B-token training mix with legal sources capped at 15%.
+- `artifacts/bartek_source_ingestion_plan_2026-07-02.md` — PR contract for
+  Biblioteka Nauki and Europeana ingestion.
+
+## Excluded sources (transparency)
+Sources we reviewed and **deliberately left out** — part of the curation:
+
+| source | reason |
+|---|---|
+| `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. |
+
+## 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.
+
+## 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.
+- **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).
+
+## 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).
+
+## Reproduce
+```bash
+python3 src/build_dynaword.py --all --speakleash-dir <speakleash_zst_dir> --out .
+python3 src/make_docs.py
+```
+
+## Results
+
+### Corpus phrase frequency (normalized by tokens)
+
+Raw counts and token-normalized shares are regenerated from the current Parquet files with `src/pattern_frequency_report.py`.
+
+- Total token count (tiktoken proxy): **6,645,344,651**
+
+| Pattern | Count | Share of all tokens |
+|---|---:|---:|
+| `w roku` | 396,257 | 0.0060% |
+| `klasyfikacji` | 163,213 | 0.0025% |
+| `ustawa` | 592,469 | 0.0089% |
+| `artykuł` | 3,406,889 | 0.0513% |
+| `parlament` | 1,256,753 | 0.0189% |
+| `rozporządzenie` | 1,456,406 | 0.0219% |
+| `w pobliżu` | 78,762 | 0.0012% |
+| `mieszkańców` | 299,046 | 0.0045% |
+| `Dz.U.` | 957,239 | 0.0144% |
+
+### 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% |
+| `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
+| `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
+| `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
+| `dziennik_ustaw` | `artykuł` | 27,773 | 0.00571% |
+| `dziennik_ustaw` | `parlament` | 42,338 | 0.00871% |
+| `dziennik_ustaw` | `rozporządzenie` | 166,383 | 0.03423% |
+| `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` | `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% |
+| `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% |
+| `nkjp1m` | `w roku` | 109 | 0.00419% |
+| `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
+| `nkjp1m` | `ustawa` | 79 | 0.00304% |
+| `nkjp1m` | `artykuł` | 153 | 0.00588% |
+| `nkjp1m` | `parlament` | 216 | 0.00830% |
+| `nkjp1m` | `rozporządzenie` | 20 | 0.00077% |
+| `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` | 114,142 | 0.01026% |
+| `parliamentary` | `klasyfikacji` | 4,337 | 0.00039% |
+| `parliamentary` | `ustawa` | 372,690 | 0.03350% |
+| `parliamentary` | `artykuł` | 159,878 | 0.01437% |
+| `parliamentary` | `parlament` | 269,714 | 0.02424% |
+| `parliamentary` | `rozporządzenie` | 45,131 | 0.00406% |
+| `parliamentary` | `w pobliżu` | 2,088 | 0.00019% |
+| `parliamentary` | `mieszkańców` | 35,654 | 0.00320% |
+| `parliamentary` | `Dz.U.` | 1,365 | 0.00012% |
+| `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 | 0.00964% |
+| `sejm_api_2011_2022` | `klasyfikacji` | 50 | 0.00019% |
+| `sejm_api_2011_2022` | `ustawa` | 8,936 | 0.03325% |
+| `sejm_api_2011_2022` | `artykuł` | 1,079 | 0.00401% |
+| `sejm_api_2011_2022` | `parlament` | 11,246 | 0.04184% |
+| `sejm_api_2011_2022` | `rozporządzenie` | 691 | 0.00257% |
+| `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% |
+| `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% |
+
+![Overall pattern counts](artifacts/pattern_frequency_overall.png)
+
+![w roku by source](artifacts/pattern_frequency_w_roku.png)
+![klasyfikacji by source](artifacts/pattern_frequency_klasyfikacji.png)
+![ustawa by source](artifacts/pattern_frequency_ustawa.png)
+![artykuł by source](artifacts/pattern_frequency_artykul.png)
+![parlament by source](artifacts/pattern_frequency_parlament.png)
+![rozporządzenie by source](artifacts/pattern_frequency_rozporządzenie.png)
+![w pobliżu by source](artifacts/pattern_frequency_w_pobliżu.png)
+![mieszkańców by source](artifacts/pattern_frequency_mieszkańców.png)
+![Dz.U. by source](artifacts/pattern_frequency_dzu.png)

artifacts/bartek_source_ingestion_plan_2026-07-02.md

@@ -0,0 +1,76 @@
+# Bartek source ingestion plan
+
+Prepared from source-expansion work by **Bart Kobyliński** for Biblioteka Nauki
+and Europeana.
+
+## Decision
+
+Accept the two extra columns in the main parquet schema:
+
+`id, text, source, added, created, token_count, license, author`
+
+Reason: `license` and `author` are document-level provenance fields. Keeping them
+inside the parquet means they survive shuffling, filtering, deduplication, and
+training-mix extraction. A separate sidecar file is useful for audit exports, but
+it should not be the only place where rights metadata lives.
+
+## Contract for the PR
+
+Bartek should provide:
+
+- normalized parquet/jsonl.zst files for `biblioteka_nauki` and `europeana`, or
+  a script that regenerates them from the upstream services;
+- per-record `license` and `author` fields where upstream metadata exists;
+- per-source stats: documents, characters, token count, license distribution,
+  author coverage, dropped-record counts;
+- enough source notes to reproduce the exact upstream query/API/interface and the
+  license decision logic.
+
+The project-side scripts now support the expanded schema and will regenerate:
+
+- per-source datasheets in `data/<source>/<source>.md`;
+- the README source table and totals;
+- the changelog source list.
+
+## Source policy
+
+### Biblioteka Nauki
+
+Include as `biblioteka_nauki` only through the direct upstream rebuild. Do not
+treat the old SpeakLeash aggregate as sufficient evidence. Each record should
+carry its upstream license and author/creator metadata when available.
+
+Suggested source description:
+
+Biblioteka Nauki is a Polish academic-text source fetched directly from the
+upstream site/interface. Records are accepted only when a reusable license is
+available in the upstream metadata. Per-document license and author metadata are
+preserved in the corpus.
+
+### Europeana
+
+Include as `europeana` only through the direct upstream rebuild preserving
+per-record rights statements. The raw SpeakLeash aggregate remains excluded
+because it is mixed-rights and insufficiently traceable.
+
+Release split:
+
+- `created/published < 1929`: conservative public release slice for US-sensitive
+  downstream users;
+- `created/published >= 1929` or unknown date: keep separately labeled, or hold
+  until legal review confirms the release scope.
+
+Dataset-card wording should say that Europeana rights statements are evaluated
+primarily for Poland/EU and that public-domain status can depend on jurisdiction.
+
+## Checklist before merge
+
+- Run the source rebuild or ingest script.
+- Validate parquet schema has the eight canonical columns.
+- Recompute token counts and stats from the generated files.
+- Run `python3 src/make_docs.py`.
+- Inspect the README totals and source datasheets.
+- Confirm Europeana is either split at 1929 or explicitly marked as
+  jurisdiction-sensitive.
+- Keep raw SpeakLeash Europeana excluded unless per-record rights metadata is
+  preserved.

artifacts/edukacja_medialna_pl_ontology_manifest.json

@@ -0,0 +1,484 @@
+{
+  "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",
+        "artifacts/attribution.jsonl": "8522652f776bd59c115453331b4a5c771f01e6467fab2938798c3aad0065e55d",
+        "artifacts/decisions.jsonl": "960bffd3e684a52a119633efbedc7d1ef0cd6d8c70bfbb16bb2c03c551da9962",
+        "artifacts/inventory.json": "2348fc675da837146af683bc548083fa93c43f6e1a2dbdf2408d36a97dbd92d9",
+        "artifacts/qa.json": "95e42a29bd2f1d328efac5f20378311a1806bd934b5bd88d6002a3bbf2ec78dc",
+        "artifacts/raw_xml.jsonl.gz": "828b7ac5f0d2eaf1c49882178363777ed8f74daccac0fcbd485ba9d0fb8369f1",
+        "artifacts/run.json": "07306bf4f5b8199dcba0d28442fa4fa38d8f9a684f976451b223e93138762f08",
+        "artifacts/sample.jsonl": "1d3277d93a5a1b9281ef1c71e745c9669eb2fac4cc78c7e60946557aedc7c1fa",
+        "artifacts/stats.json": "38c7a8418b798021ce217a8bd9c9c120a7b92a7ac8e0cdbf56cb76757eb7b8cf",
+        "data/train-00000-of-00001.parquet": "dbce26650981e8e552c7fdac48bd35c02e9bd0a56fced4ea4871489b5a2365c4",
+        "src/build_edukacja_medialna_pl.py": "6ded00d84d4f6686f53c05f99caabcaf8ec59cebf7027a63342612d214a5aaf4",
+        "src/requirements.txt": "a41710470f941a80c9cf2f6ef93357b2478797f00804816e925959fac302100b",
+        "src/test_edukacja_medialna_contribution.py": "79fcbb1d7018cac395e3dd405ad907e5043482c6e4cf6f1d1b4611f05fc05f78"
+      }
+    },
+    {
+      "append_only": true,
+      "id": "evidence:qa:31651600f3fdbd7fead125374f64ed1bd689a5f7fa14389f4d888b858cbeb8f5",
+      "observation_type": "quality_report",
+      "payload": {
+        "benchmark_overlap": "pending",
+        "cross_source_dedup": "pending target integration",
+        "exact_normalized_dedup": true,
+        "license_gate": "explicit CC BY-SA 3.0 required in lesson page and source XML",
+        "limitations": [
+          "source guidance includes historical material",
+          "external reading lists and long-quote elements omitted",
+          "remaining inline third-party excerpts require review",
+          "pattern checks are not comprehensive de-identification"
+        ],
+        "near_dedup": {
+          "method": "seeded MinHash 128 / LSH 0.8 candidates / exact 5-word Jaccard >= 0.9",
+          "removed": []
+        },
+        "pii_pattern_matches": {
+          "email": 1,
+          "labelled_phone": 0
+        }
+      }
+    },
+    {
+      "append_only": true,
+      "id": "evidence:validation:a18fc04225ac65cdee43834e35e8ebc1bba24163859ca59b4fc96d4078040b25",
+      "observation_type": "contract_validation",
+      "payload": {
+        "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
+      }
+    }
+  ],
+  "objects": [
+    {
+      "id": "object:edukacja-medialna-source",
+      "type": "DatasetSource"
+    },
+    {
+      "id": "object:edukacja-medialna-derived",
+      "type": "Dataset"
+    }
+  ],
+  "protocols": [
+    {
+      "digest": "sha256:6d6b7e7a3d456dff4d5b6c6a6ade6d7c352582ca6c4bccf4e46f49a132517821",
+      "id": "protocol:6d6b7e7a3d456dff4d5b6c6a6ade6d7c352582ca6c4bccf4e46f49a132517821",
+      "specification": {
+        "dedup": "normalized exact then seeded MinHash/Jaccard",
+        "license_gate": "explicit CC BY-SA 3.0 on page and XML",
+        "name": "edukacja-medialna-direct-xml-v1",
+        "schema": [
+          "id",
+          "text",
+          "source",
+          "added",
+          "created",
+          "token_count",
+          "license",
+          "author"
+        ],
+        "selection": "Polish, >=300 body chars, creator present, no PII pattern match",
+        "source_scope": "https://edukacjamedialna.edu.pl/lekcje/",
+        "tokenizer": "tiktoken cl100k_base"
+      }
+    },
+    {
+      "digest": "sha256:ea264792613d37232fb335cd94ce0adf98ffc43fc88b4895cf7100f9160b5d1b",
+      "id": "protocol:ea264792613d37232fb335cd94ce0adf98ffc43fc88b4895cf7100f9160b5d1b",
+      "specification": {
+        "checks": [
+          "schema",
+          "counts",
+          "license",
+          "author attribution",
+          "PII patterns",
+          "samples",
+          "content addresses",
+          "acyclic lineage"
+        ],
+        "name": "edukacja-medialna-contract-v1"
+      }
+    }
+  ],
+  "relations": [
+    {
+      "predicate": "DERIVED_FROM",
+      "source": "version:data:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
+      "target": "version:source:9bca86eeedc6f04b29ecab5e704112aecd70eb88426b3b676ea7ee8101254a69"
+    },
+    {
+      "predicate": "FILTERED_BY",
+      "source": "version:data:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
+      "target": "protocol:6d6b7e7a3d456dff4d5b6c6a6ade6d7c352582ca6c4bccf4e46f49a132517821"
+    },
+    {
+      "predicate": "VALIDATED_AGAINST",
+      "source": "version:data:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
+      "target": "protocol:ea264792613d37232fb335cd94ce0adf98ffc43fc88b4895cf7100f9160b5d1b"
+    },
+    {
+      "predicate": "COMPATIBLE_WITH",
+      "source": "version:data:ea342412e4e8fa48154de774fe55336d50c0f8b726c17a8904d43701e449ebd1",
+      "target": "hf://datasets/SlayerLab/polish-dynaword@a916edecabc2be8832e08fb2bd9dfafcc1d2dd71"
+    }
+  ],
+  "runs": [
+    {
+      "code_sha256": "6ded00d84d4f6686f53c05f99caabcaf8ec59cebf7027a63342612d214a5aaf4",
+      "finished_at": "2026-09-06T15:44:48.898663+00:00",
+      "id": "run:30db02148d6e7afa693a38702bbfb5049975f07286eb7a51e0274b2bc1e0c2e3",
+      "inputs": {
+        "listing_sha256": "3b419c4637991185bcfe883240256164b8bb14d176dea2d6523e36abe7c9444a",
+        "xml_sha256": [
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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/hf_readmes/PleIAs__Polish-PD__README.md

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+# 🇵🇱 Polish Public Domain 🇵🇱
+
+**Polish-Public Domain** or **Polish-PD** is a large collection aiming to aggregate all Polish monographies and periodicals in the public domain. As of March 2024, it is the biggest Polish open corpus. 
+
+## Dataset summary
+The collection contains 247,491 individual texts making up 2,697,414,811 words recovered from multiple sources, including Internet Archive and various European national libraries and cultural heritage institutions. Each parquet file has the full text of 2,000 books selected at random.
+
+## Curation method 
+The composition of the dataset adheres to the criteria for public domain works in the EU and, consequently, all Berne-countries for EU authors: any publication whose author is dead for more than 70 years. Additionally, the initial consolidation of public domain status for cultural heritage operates in the EU under the 2019 Copyright Directive (art. 14).
+
+As of March 2024, to limit rights verification, we have retained exclusively titles published prior to 1884. 
+
+The corpus will be expanded at a later stage to encompass late 19th century and early 20th century publications, after checking for public domain validity.
+
+## Uses
+The collection aims to expand the availability of open works for the training of Large Language Models. The text can be used for model training and republished without restriction for reproducibility purposes.
+
+The rationales for creation of this collection are multifold: 
+
+* **Scientific**: We observe that the closure of training corpora represents a major barrier to AI research. Large language models face a real crisis of reproducibility. 
+* **Legal**: With the adoption of the AI Act with its obligations in terms of copyright law compliance for the pretraining corpora, the European AI ecosystem will have to change its provenance practices. 
+* **Cultural**: The linguistic diversity of the European Union is currently underrepresented. Unlike web archives, open, heritage, administrative, or scientific texts are often of high quality: they are long, multilingual, and editorialized publications.
+* **Economical**: Today, value capture is concentrated on players whose financial resources are already considerable, allowing them to collect or purchase data at a high price. Making a royalty-free corpus available to as many people as possible frees innovation in uses and minimizes economic dependencies on dominant actors.
+
+## License
+The entire collection is in the public domain in all regions. This means that the patrimonial rights of each individual or collective right holders have expired.
+
+There has been a debate for years in Europe over the definition of public domain and the possibility to restrict its use. Since 2019, the EU Copyright Directive states that "Member States shall provide that, when the term of protection of a work of visual art has expired, any material resulting from an act of reproduction of that work is not subject to copyright or related rights, unless the material resulting from that act of reproduction is original in the sense that it is the author's own intellectual creation." (art. 14)
+
+## Future work
+This dataset is not a one-time work but will continue to evolve significantly in three directions: 
+
+* Expansion of the dataset to the late 19th and early 20th century works and its further enhancement with currently unexploited collections coming from European patrimonial data repositories. 
+* Correction of computer generated errors in the text. All the texts have been transcribed automatically through the use of Optical Character Recognition (OCR) software. The original files have been digitized over a long time period (since the mid-2000s) and some documents should be. Future versions will strive either to re-OCRize the original text or use experimental LLM models for partial OCR correction.
+* Enhancement of the structure/editorial presentation of the original text. Some parts of the original documents are likely unwanted for large scale analysis or model training (header, page count…). Additionally, some advanced document structures like tables or multi-column layout are unlikely to be well-formatted. 
+
+## Acknowledgements
+The corpus was stored and processed with the generous support of Scaleway. It was built up with the support and concerted efforts of the state start-up LANGU:IA (start-up d’Etat), supported by the French Ministry of Culture and DINUM, as part of the prefiguration of the service offering of the Alliance for Language technologies EDIC (ALT-EDIC).
+
+Corpus collection has been largely facilitated thanks to the open science LLM community insights, cooperation and support (Occiglot, Eleuther AI, OpenLLM France, Allen AI).
+
+<div style="text-align: center;">
+  <img src="https://github.com/mch-dd/datasetlogo/blob/main/scaleway.jpeg?raw=true" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+  <img src="https://github.com/mch-dd/datasetlogo/blob/main/ministere.png?raw=true" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+  <img src="https://github.com/mch-dd/datasetlogo/blob/main/occiglot.jpg?raw=true" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+</div>

artifacts/hf_readmes/PleIAs__common_corpus__README.md

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+---
+language:
+- en
+- fr
+- de
+- zh
+- it
+- es
+- ja
+- pl
+- la
+- nl
+- ru
+- ar
+- ko
+
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: "common_corpus_1/subset_100_1.parquet"
+---
+
+
+# Common Corpus
+
+<p align="center">
+  <a href="https://iclr.cc/virtual/2026/poster/10011885"><b>Full paper - ICLR 2026 oral</b></a>
+</p>
+
+Common Corpus is the largest open licensed text dataset, comprising 2.27 trillion tokens (2,267,302,720,836 tokens). It is a diverse dataset, consisting of books, newspapers, scientific articles, government and legal documents, code, and more. Common Corpus has been created by Pleias in association with several partners.
+
+Common Corpus differs from existing open datasets in that it is:
+*  **Truly Open**: contains only data that is either uncopyrighted or freely licensed
+*  **Traceable**: each individual document is associated with documented contextual information, including licensed use or lack of copyright.
+*  **Multilingual**: mostly representing English and French data, but contains data for 8 languages with more than 10 billion tokens (German, Spanish, Italian, Polish, Greek, Latin) and 33 languages with more than 1 billion tokens.
+*  **Diverse**: consisting of scientific articles, government and legal documents, code, and cultural heritage data, including books and newspapers
+*  **Extensively Curated**: spelling and formatting has been corrected from digitized texts, harmful and toxic content has been removed, and content with low educational content has also been removed.
+
+The dataset in its entirety meets the requirements of the Code of Conduct of the AI Act and goes further than the current requirements for data transparency. It aims to set a new standard of openness in AI, showing that detailed provenance at a granular document level is a realistic objective, even at the scale of 2.3 trillion tokens.
+
+Common Corpus makes it possible to train model compatible with [the Open Source Initiative’s definition](https://opensource.org/ai/open-source-ai-definition#:~:text=An%20Open%20Source%20AI%20is,including%20to%20change%20its%20output.) of open-source AI, which includes openness of use, meaning use is permitted for “any purpose and without having to ask for permission". Based on the available licensing information Common Corpus can be filtered to only include public domain works or a subset of free licenses (like attribution only).
+
+
+# About Common Corpus
+
+Common Corpus is made of six carefully curated collections:
+*  **OpenCulture**: our largest collection at 967,018,390,906 tokens, featuring public domain books, newspapers from cultural heritage repositories and open projets like Wikisource ad Gutenberg. We're developing innovative tools of OCR correction based on Pleias Models to correct historical digitization errors, while implementing advanced toxicity filtering to ensure content meets modern ethical standards.
+*  **OpenGovernment**: 579,150,518,908 tokens of financial and legal documents, including Finance Commons (from sources like SEC and WTO) and Legal Commons (including Europarl, Caselaw Access Project, Chinese Case Law), providing enterprise-grade training data from regulatory bodies and administrative sources.
+*  **OpenSource**: 283,227,402,898 tokens of high-quality code in open source from GitHub, filtered using ArmoRM to ensure only the top 80% of submissions by quality rating are included.
+*  **OpenScience**: 281,193,563,789 tokens of academic content from Open Alex and other open science reposiories, processed using vision-language models to preserve crucial document structure and formatting.
+*  **OpenWeb**: 88,517,032,065 tokens from Wikipedia (official releases from the [Wikimedia Foundation](https://huggingface.co/datasets/wikimedia/wikipedia) on Huggingface), YouTube Commons and Stack-Exchange.
+*  **Open Semantic**: 67,958,671,827 tokens from Wikidata (official releases from the [Wikimedia Foundation](https://huggingface.co/datasets/wikimedia/wikipedia) on Huggingface). The data has been reprocessed thanks to support and help of Wikidata and Wikimedia Germany. It includes the transcriptions of all the semantic triplets into natural language statements in over 300 languages.
+
+| Collection 	| Domain               	| Sources                                                                               	|
+|----------------|--------------------------|-------------------------------------------------------------------------------------------|
+| OpenGovernment | legal and administrative | [Finance Commons](https://huggingface.co/collections/PleIAs/finance-commons-66925e1095c7fa6e6828e26c) (e.g. SEC, WTO) and Legal Commons (e.g. Europarl, Caselaw Access Project, Chinese CaseLaw) |
+| OpenCulture	| cultural heritage    	| public domain books and newspapers, Wikisource                                                    	|
+| OpenScience	| academic             	| OpenAlex                                                             	|
+| OpenWeb    	| web text             	| [YouTube Commons](https://huggingface.co/datasets/PleIAs/YouTube-Commons), MOSEL, Stack Exchange, CCCC                                                       	|
+| OpenSource 	| code                 	| GitHub                                                                                	|
+| OpenSemantic 	| Semantic data                 	| Wikidata                                                                                	|
+
+The first version of [Common Corpus](https://huggingface.co/datasets/PleIAs/common_corpus) was released in November of 2024.  The second version added Wikidata and detailed document-level information, including licensing and other core metadata whenever available. The third ongoing version dramatically expand the language coverage of Common Corpus beyond the US and Europe with the integration of large collection of documents in Chinese, Japanese, Arabic, Korean and Hindi.
+
+The dataset release is accompanied by a comprehensive technical report (ICRL 2026 - oral) detailing our methodologies and data sources will accompany the release, ensuring full transparency and reproducibility.
+
+## Dataset Structure
+
+<details >
+  <summary>Data Fields</summary>
+
+*  `identifier`: unique text identifier. In many cases, this is also the link to the original resources.
+*  `collection`: name of one of the XX sub-collections curated for Common corpus.
+*  `open type`: one of the six leading collection groupings:
+*  `license`: sharing rights for the content either uncopyrighted (public domain, US federal public domain, CC0 on Wikidata) or various free licenses (Creative Commons, MIT, French Licence ouverte, etc.)
+*  `date`: date of creation of the resource where known. Due to the significance of public domain and other cultural heritage content, more than half of Common Corpus predates the 21st century.
+*  `title`: title of the resource when known or alternatively the filename.
+*  `creator`: institution publishing/collecting/curating the resource.
+*  `language`: automatically identified language.
+*  `word_count`: number of space delimited words.
+*  `token_count`: number of tokens as calculated by Pleias official tokenizer and Gemma-3 tokenizer for Chinese, Japanese, Arabic, Korean and few additional non-Western languages.
+*  `text`: full text, without formatting.
+
+</details > 
+<br />
+
+
+## Provenance
+
+The provenance of the datasets that make up Refined Common Corpus is detailed in the technical report [link]. Additionally, the original source URL is available in the metadata for each document for most of the dataset. 
+
+
+## How to Use
+
+### Considerations for Using the Data
+
+All data in Common Corpus are either uncopyrighted or freely licensed and may be used for both commercial and non-commercial purposes. 
+
+The dataset is multilingual. The language text is included in the metadata, so data can be filtered by language. Additionally, some of the text data are historical. The year each text is written is included in the metadata, therefore it is possible to construct a dataset with a custom date cutoff if desired.
+
+### Discussion of Bias
+
+Some of the dataset sources contain biased and toxic content, such as stereotypes about certain minoritized groups. We have removed texts which had high toxicity scores according to our toxicity classifier, [Celadon](https://huggingface.co/PleIAs/celadon), or which contain offensive terms and slurs. See our [preprint](https://arxiv.org/pdf/2410.22587) for more details.
+
+### Personal and Sensitive Information
+
+We have attempted to remove personally identifiable information (PII). We primarily use [Microsoft Presidio](https://microsoft.github.io/presidio/), but make additional modifications to account for language- and country-specific considerations, such as European phone number formats. 
+
+Some small parts of the French administrative common crawl have been entirely dropped using our unreleased small reasoning model for GDPR-filtering, due to the heightened risk of transmitting identifiable indirect personal information.
+
+## Using Common Corpus
+from datasets import load_dataset
+data = load_dataset('PleIAs/common_corpus')
+
+
+# Acknowledgements
+
+The Corpus was built up with the support and concerted efforts of the AI Alliance, the French Ministry of Culture as part of the prefiguration of the service offering of the Alliance for Language technologies EDIC (ALT-EDIC). 
+
+This dataset was also made in partnership with Wikimedia Enterprise and Wikidata/Wikimedia Germany. We're also thankful to our partner Libraries Without Borders for continuous assistance on extending low resource language support.
+
+The corpus was stored and processed with the generous support of the AI Alliance, Jean Zay (Eviden, Idris), Tracto AI, Mozilla. Generation of OCR correction at scale were performed using HPC resources from two GENCI–IDRIS grants: 2023-AD011014736 and GC011015451.
+
+Some parts of the corpus have been built on top of other similar open science LLM community initiatives such as German-Commons, MOSEL, kl3m, AI4Bharat, Creative Commons Common Crawl. We included a new curator field to properly acknowledge this data work.
+
+<div style="text-align: center;">
+  <img src="https://huggingface.co/datasets/PleIAs/common_corpus/resolve/main/logo/ai_alliance.png" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+  <img src="https://huggingface.co/datasets/PleIAs/common_corpus/resolve/main/logo/logo-genci-header.svg" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+  <img src="https://huggingface.co/datasets/PleIAs/common_corpus/resolve/main/logo/Nvidia_(logo).svg.png" style="width: 33%; margin: 0 auto; display: inline-block;"/>   
+  <img src="https://huggingface.co/datasets/PleIAs/common_corpus/resolve/main/logo/tractoAI.png" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+  <img src="https://huggingface.co/datasets/PleIAs/common_corpus/resolve/main/logo/mozilla.png" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+  <img src="https://huggingface.co/datasets/PleIAs/common_corpus/resolve/main/logo/wikimedia_logo.png" style="width: 33%; margin: 0 auto; display: inline-block;"/>
+</div>

artifacts/hf_readmes/WiktorS__polish-news__README.md

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+---
+license: apache-2.0
+task_categories:
+- text-classification
+- summarization
+- text-generation
+language:
+- pl
+size_categories:
+- 100K<n<1M
+---
+
+This dataset contains more than 250k articles obtained from polish news site `tvp.info.pl`.
+Main purpouse of collecting the data was to create a transformer-based model for text summarization.
+
+Columns:
+* `link` - link to article
+* `title` - original title of the article
+* `headline` - lead/headline of the article - first paragraph of the article visible directly from the page
+* `content` - full textual contents of the article
+
+
+
+Link to original repo: https://github.com/WiktorSob/scraper-tvp
+
+Download the data:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("WiktorS/polish-news")
+```

artifacts/hf_readmes/allegro__polish-question-passage-pairs__README.md

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+README_DOWNLOAD_ERROR: RemoteEntryNotFoundError: 404 Client Error. (Request ID: Root=1-6a30c2e8-69709ad67822f4c61c22b757;e5d36c2d-c02b-4c78-ac85-86048ae92297)
+
+Entry Not Found for url: https://huggingface.co/datasets/allegro/polish-question-passage-pairs/resolve/main/README.md.

artifacts/hf_readmes/allegro__summarization-polish-summaries-corpus__README.md

@@ -0,0 +1,3 @@
+README_DOWNLOAD_ERROR: RemoteEntryNotFoundError: 404 Client Error. (Request ID: Root=1-6a30c2e8-2fb9443220aedb731cc645fc;f438cb69-dba3-430b-84e7-7f81180b703c)
+
+Entry Not Found for url: https://huggingface.co/datasets/allegro/summarization-polish-summaries-corpus/resolve/main/README.md.

artifacts/hf_readmes/ashtok897__european-hplt-v1__README.md

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+---
+language:
+- en
+- fr
+- de
+- es
+- pt
+- it
+- nl
+- pl
+- cs
+- uk
+- sv
+- ro
+- hu
+- el
+- da
+- nb
+- sk
+- fi
+- bg
+- ru
+- ca
+- lt
+- lv
+- sl
+- hr
+- sr
+- mk
+- bs
+- be
+- gl
+- eu
+- nn
+- is
+- cy
+- mt
+- lb
+- ga
+- ast
+- fo
+- gd
+- oc
+license: cc0-1.0
+task_categories:
+- text-generation
+- fill-mask
+pretty_name: "European HPLT v1 — 45M docs, 41 languages"
+size_categories:
+- 10M<n<100M
+source_datasets:
+- hplt-project/hplt_monolingual_v3
+tags:
+- european
+- multilingual
+- pretraining
+- hplt
+---
+
+# European HPLT v1
+
+A multilingual pretraining corpus of **45,031,396 documents** (~50.9B estimated tokens, ~190 GB raw JSONL) across **41 European languages**, built from [HPLT Monolingual v3](https://hplt-project.org/datasets/v3) high-quality web crawl data.
+
+The corpus spans Germanic, Romance, Slavic, Celtic, Baltic, Finno-Ugric, Greek, and other European language families. Every document has an HPLT WDS quality score of 10 or higher (the top of the quality distribution).
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+# Streaming (recommended — corpus is ~190 GB)
+ds = load_dataset("ashtok897/european-hplt-v1", split="train", streaming=True)
+for row in ds.take(3):
+    print(row["lang"], row["text"][:100])
+
+# Filter by language
+de_ds = ds.filter(lambda x: x["lang"] == "de")
+
+# Full training split (requires disk space)
+ds = load_dataset("ashtok897/european-hplt-v1", split="train")
+```
+
+## Language Distribution
+
+| Language | BCP-47 | Documents | % | Est. Tokens | Avg Words/Doc |
+|---|---|---:|---:|---:|---:|
+| English | `en` | 3,080,434 | 6.84% | ~4.44B | 955 |
+| French | `fr` | 2,726,717 | 6.06% | ~4.56B | 1,073 |
+| German | `de` | 2,723,089 | 6.05% | ~5.23B | 1,051 |
+| Spanish | `es` | 2,463,158 | 5.47% | ~2.91B | 768 |
+| Portuguese | `pt` | 2,171,285 | 4.82% | ~2.46B | 728 |
+| Italian | `it` | 2,168,007 | 4.81% | ~2.88B | 820 |
+| Dutch | `nl` | 1,902,030 | 4.22% | ~1.64B | 538 |
+| Polish | `pl` | 1,891,358 | 4.20% | ~1.98B | 591 |
+| Czech | `cs` | 1,600,788 | 3.55% | ~1.34B | 516 |
+| Ukrainian | `uk` | 1,577,030 | 3.50% | ~1.08B | 381 |
+| Swedish | `sv` | 1,362,129 | 3.02% | ~1.58B | 721 |
+| Romanian | `ro` | 1,329,418 | 2.95% | ~1.29B | 617 |
+| Hungarian | `hu` | 1,328,026 | 2.95% | ~1.36B | 555 |
+| Greek | `el` | 1,322,934 | 2.94% | ~1.41B | 639 |
+| Danish | `da` | 1,085,979 | 2.41% | ~1.16B | 668 |
+| Norwegian Bokmål | `nb` | 1,081,349 | 2.40% | ~0.99B | 586 |
+| Slovak | `sk` | 1,063,235 | 2.36% | ~0.72B | 413 |
+| Finnish | `fi` | 1,062,298 | 2.36% | ~1.64B | 751 |
+| Bulgarian | `bg` | 1,060,225 | 2.35% | ~0.73B | 434 |
+| Russian | `ru` | 1,046,533 | 2.32% | ~3.62B | 1,847 |
+| Catalan | `ca` | 792,769 | 1.76% | ~0.60B | 499 |
+| Lithuanian | `lt` | 792,614 | 1.76% | ~0.52B | 352 |
+| Latvian | `lv` | 784,033 | 1.74% | ~0.55B | 391 |
+| Slovenian | `sl` | 783,987 | 1.74% | ~0.57B | 449 |
+| Croatian | `hr` | 771,689 | 1.71% | ~0.56B | 448 |
+| Serbian | `sr` | 759,832 | 1.69% | ~0.54B | 440 |
+| Macedonian | `mk` | 648,038 | 1.44% | ~0.34B | 333 |
+| Bosnian | `bs` | 642,025 | 1.43% | ~0.44B | 427 |
+| Belarusian | `be` | 639,982 | 1.42% | ~0.38B | 337 |
+| Galician | `gl` | 639,327 | 1.42% | ~0.42B | 424 |
+| Basque | `eu` | 636,441 | 1.41% | ~0.36B | 294 |
+| Norwegian Nynorsk | `nn` | 535,072 | 1.19% | ~0.36B | 437 |
+| Icelandic | `is` | 432,802 | 0.96% | ~0.82B | 1,073 |
+| Welsh | `cy` | 431,246 | 0.96% | ~0.25B | 390 |
+| Maltese | `mt` | 326,736 | 0.73% | ~0.21B | 358 |
+| Luxembourgish | `lb` | 324,914 | 0.72% | ~0.22B | 417 |
+| Irish | `ga` | 321,842 | 0.71% | ~0.21B | 431 |
+| Asturian | `ast` | 215,942 | 0.48% | ~0.19B | 555 |
+| Faroese | `fo` | 209,925 | 0.47% | ~0.10B | 292 |
+| Scottish Gaelic | `gd` | 197,604 | 0.44% | ~0.15B | 502 |
+| Occitan | `oc` | 98,554 | 0.22% | ~0.08B | 530 |
+| **Total** | | **45,031,396** | **100%** | **~50.88B** | **681** |
+
+> Token estimates use chars÷4. Actual count varies by tokenizer.
+
+### Notable observations
+
+- **Russian** has the highest average doc length (1,847 words) — Russian web articles in HPLT v3 tend to be substantially longer than other languages.
+- **Icelandic** has unusually long average doc length (1,073 words) for its size tier, similar to Tier 1 languages.
+- **German** has the highest total token share among Latin-script languages (~5.23B) despite ranking 3rd by doc count.
+- **Estonian** (`et` / `est_Latn`) was targeted but is **not present in HPLT v3 sorted collection** and was excluded.
+
+## Dataset Fields
+
+| Field | Type | Description |
+|---|---|---|
+| `text` | string | Document text |
+| `lang` | string | BCP-47 language code |
+| `url` | string | Source URL |
+| `score` | float | HPLT WDS quality score (raw integer, higher = better; all docs ≥ 10) |
+| `collection` | string | Source MIME type (e.g. `text/html`) |
+| `web-register` | string | Document register/genre code (see Web Registers section) |
+| `prob` | float | Language detection confidence |
+| `char_count` | int | Character count |
+| `word_count` | int | Whitespace-split word count |
+| `doc_id` | string | Unique per-language ID, e.g. `de_0000001` |
+
+## Data Splits
+
+Split ratios are 98% / 1% / 1% over Parquet shards (250,000 rows per shard, ~180 shards total).
+
+| Split | Documents | Shards |
+|---|---:|---:|
+| train | ~44.13M | ~176 |
+| validation | ~450K | ~2 |
+| test | ~450K | ~2 |
+
+### Note on Data Completeness
+
+One shard (`train-00107-of-00181.parquet`) was removed from the published train
+split because Hugging Face's ClamAV scanner flagged a false-positive malware
+signature (`Email.Trojan.Trojan-939`) on email-like text within the crawled web
+content. Parquet files contain only data and cannot execute code — the flag was
+a byte-pattern match against text in the `text` column, not executable malware.
+As a result, the train split contains 176 shards (~44.0M documents) rather than
+177. Remaining file names keep their original `of-00181` suffix for consistency;
+the `datasets` loader globs all available shards, so this does not affect loading.
+
+## How It Was Built
+
+**Source:** HPLT v3 sorted shards (`https://data.hplt-project.org/three/sorted`), which order documents by WDS quality score descending — every document in this corpus has a WDS score of 10 or higher.
+
+**Quality filtering** (applied inline during download):
+- 50–100,000 characters per document
+- Max 50% non-alphabetic characters (Unicode-aware)
+- Min average word length 2.0 characters
+
+**Deduplication:**
+- Exact SHA-256 hash dedup on all languages
+- MinHash near-duplicate removal **disabled** for this release — HPLT v3 already applies global near-deduplication, so re-running MinHash on Indo-European languages adds significant compute for marginal gain. May be re-enabled in a future release.
+
+**Merge:** Languages are interleaved according to configured fractions targeting a balanced multilingual corpus. The `merge.py` step uses an adaptive quota algorithm that:
+- Caps each language at its available document count
+- Auto-excludes languages with less than 10% of their target quota (none were excluded in this release except Estonian, which had 0 data)
+- Redistributes excluded quota across the remaining languages
+- Shuffles the final output (deterministic, seed=42)
+
+**Pipeline code:** [github.com/ashtok/build-multilingual-corpus](https://github.com/ashtok/build-multilingual-corpus)
+
+## Web Register Distribution
+
+HPLT v3 labels documents with a register/genre code:
+
+| Register | Count | % | Meaning |
+|---|---:|---:|---|
+| IP | 14,245,000 | 31.6% | Informational persuasion |
+| NA | 10,847,574 | 24.1% | Narrative |
+| IN | 8,232,732 | 18.3% | Informational description |
+| MT | 3,810,850 | 8.5% | Machine-translated |
+| ID | 1,926,908 | 4.3% | Interactive discussion |
+| OP | 1,823,791 | 4.1% | Opinion |
+| HI | 1,220,284 | 2.7% | How-to / instructional |
+| unknown | 1,176,071 | 2.6% | Unclassified |
+| LY | 233,724 | 0.5% | Lyrical |
+
+> To exclude machine-translated content, filter on `web-register != "MT"` (drops ~8.5%).
+
+## Source Collection Types
+
+| Collection | Count |
+|---|---:|
+| `text/html` | 44,927,249 |
+| `application/atom+xml` | 46,512 |
+| `application/xml` | 22,690 |
+| (empty) | 16,567 |
+| `application/xhtml+xml` | 6,492 |
+| `application/vnd.oasis.opendocument.text` | 2,708 |
+| `application/vnd.openxmlformats-officedocument.spreadsheetml.sheet` | 2,643 |
+| `text/plain` | 1,771 |
+| `application/rss+xml` | 1,700 |
+| `application/epub+zip` | 1,407 |
+
+99.8% of documents are HTML.
+
+## Corpus Statistics Summary
+
+| Metric | Value |
+|---|---:|
+| Total documents | 45,031,396 |
+| Total characters | 203.5B |
+| Total words | 30.7B |
+| Estimated tokens | ~50.9B |
+| Avg doc length (words) | 681 |
+| Median doc length (words) | 264 |
+| Min doc length (words) | 6 |
+| Max doc length (words) | 26,373 |
+
+## Limitations
+
+- **Web text only** — no books, Wikipedia, or structured data
+- **~8.5% machine-translated content** — identifiable via `web-register: MT`
+- **No Estonian** — language unavailable in HPLT v3 sorted collection at corpus build time
+- **No MinHash near-dedup** — exact dedup only (HPLT v3 already applies global near-dedup)
+- **Tier-6 languages are data-limited** — Occitan, Scottish Gaelic, Faroese, Asturian have <250K docs each
+- **Russian has only 1.05M docs** — substantially less than other Tier-1 languages because HPLT v3 sorted shards exhausted at this quality level
+- **No PII filtering beyond HPLT defaults**
+- **Language proportions are partially balanced, not natural** — high-resource languages are slightly down-weighted versus their raw web share to give more space to mid/low-resource languages
+
+## Comparison with Related Corpora
+
+| Corpus | Docs | Languages | Quality bar | Source |
+|---|---:|---:|---|---|
+| **European HPLT v1** | **45.0M** | **41** | WDS ≥ 10 | HPLT v3 |
+| HPLT v3 (raw) | ~21B | 191 | None | HPLT v3 |
+| CulturaX | 6.3T tokens | 167 | Heuristic | mC4 + OSCAR |
+| RedPajama-v2 | 30T tokens | 5 | Quality signals | Common Crawl |
+| OSCAR 23.01 | ~9.8B | 151 | None | Common Crawl |
+
+This corpus trades scale for quality: every document is pre-filtered to the top WDS tier and the language mix is tilted to include lower-resource European languages that are underrepresented in other multilingual corpora.
+
+## Citation
+
+```bibtex
+@dataset{europeanHPLTv1_2026,
+  author    = {Mahajan, Ashutosh},
+  title     = {European {HPLT} v1: A 45M-document Multilingual Corpus for 41 European Languages},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/datasets/ashtok897/european-hplt-v1}
+}
+
+@article{oepen2025hplt,
+  title   = {{HPLT} 3.0: Very Large-Scale Multilingual Resources for {LLM} and {MT}},
+  author  = {Oepen, Stephan and others},
+  journal = {arXiv preprint arXiv:2511.01066},
+  year    = {2025}
+}
+```
+
+## License
+
+[CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) — inherited from HPLT v3.

artifacts/hf_readmes/clarin-knext__wsd_polish_datasets__README.md

@@ -0,0 +1,378 @@
+---
+annotations_creators:
+- expert-generated
+language:
+- pl
+language_creators:
+- expert-generated
+- found
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: wsd-polish-datasets
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+tags: []
+task_categories:
+- token-classification
+task_ids:
+- word-sense-disambiguation
+---
+# Word Sense Disambiguation Corpora for Polish
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:**
+- **Repository:**
+- **Paper:** https://link.springer.com/chapter/10.1007/978-3-031-08754-7_70
+- **Point of Contact:** arkadiusz.janz@pwr.edu.pl
+
+### Dataset Summary
+
+`WSD Polish Datasets` is a comprehensive benchmark for word sense disambiguation (WSD) classification task in Polish language.
+It consists of 7 distinct datasets, manually annotated with senses from plWordNet-4.5 sense inventory. The following datasets
+were annotated and included into our benchmark:
+- KPWr
+- KPWr-100
+- Sherlock (SPEC)
+- Skladnica
+- WikiGlex (a subset of GLEX corpus)
+- EmoGlex (a subset of GLEX corpus)
+- Walenty
+
+For more details, please check the following publication:
+
+```
+@InProceedings{10.1007/978-3-031-08754-7_70,
+  author="Janz, Arkadiusz
+  and Dziob, Agnieszka
+  and Oleksy, Marcin
+  and Baran, Joanna",
+  editor="Groen, Derek
+  and de Mulatier, Cl{\'e}llia
+  and Paszynski, Maciej
+  and Krzhizhanovskaya, Valeria V.
+  and Dongarra, Jack J.
+  and Sloot, Peter M. A.",
+  title="A Unified Sense Inventory for Word Sense Disambiguation in Polish",
+  booktitle="Computational Science -- ICCS 2022",
+  year="2022",
+  publisher="Springer International Publishing",
+  address="Cham",
+  pages="682--689",
+  isbn="978-3-031-08754-7"
+}
+```
+
+**A new publication on Polish WSD corpora will be available soon**
+
+### Supported Tasks and Leaderboards
+
+Word sense disambiguation task. We do not provide a leaderboard. However, we provide an example evaluation script for evaluating WSD models.
+
+### Languages
+
+Polish language, PL
+
+## Dataset Structure
+
+### Data Instances
+
+Data are structured in JSONL format, each single text sample is divided by sentence.
+
+```
+{
+  "text": "Wpierw pani Hudson została zerwana z łóżka, po czym odegrała się na mnie, a ja - na tobie.",
+  "tokens": [
+    {
+      "index": 0,
+      "position": [ 0, 6 ],
+      "orth": "Wpierw",
+      "lemma": "wpierw",
+      "pos": "adv",
+      "ctag": "adv"
+    },
+    {
+      "index": 1,
+      "position": [ 7, 11 ],
+      "orth": "pani",
+      "lemma": "pani",
+      "pos": "noun",
+      "ctag": "subst:nom:f:sg"
+    },
+    {
+      "index": 2,
+      "position": [ 12, 18 ],
+      "orth": "Hudson",
+      "lemma": "Hudson",
+      "pos": "noun",
+      "ctag": "subst:nom:f:sg"
+    },
+    {
+      "index": 3,
+      "position": [ 19, 26 ],
+      "orth": "została",
+      "lemma": "zostać",
+      "pos": "verb",
+      "ctag": "praet:perf:f:sg"
+    },
+    {
+      "index": 4,
+      "position": [ 27, 34 ],
+      "orth": "zerwana",
+      "lemma": "zerwać",
+      "pos": "verb",
+      "ctag": "ppas:perf:nom:f:aff:sg"
+    },
+   <...>
+  ],
+  "phrases": [
+    {
+      "indices": [ 10, 11 ],
+      "head": 10,
+      "lemma": "odegrać się"
+    }
+  ],
+  "wsd": [
+      {
+        "index": 0,
+        "pl_sense": "wpierw.1.r",
+        "plWN_syn_id": "01a4a067-aac5-11ed-aae5-0242ac130002",
+        "plWN_lex_id": "f2757c30-aac4-11ed-aae5-0242ac130002",
+        "plWN_syn_legacy_id": "477654",
+        "plWN_lex_legacy_id": "718454",
+        "PWN_syn_id": "00102736-r",
+        "bn_syn_id": "bn:00115376r",
+        "mapping_relation": "synonymy"
+      },
+      {
+        "index": 1,
+        "pl_sense": "pani.2.n",
+        "plWN_syn_id": "f35fb1ed-aac4-11ed-aae5-0242ac130002",
+        "plWN_lex_id": "d5145565-aac4-11ed-aae5-0242ac130002",
+        "plWN_syn_legacy_id": "129",
+        "plWN_lex_legacy_id": "20695",
+        "PWN_syn_id": "10787470-n",
+        "bn_syn_id": "bn:00001530n",
+        "mapping_relation": "synonymy"
+      },
+   <...>
+  ]
+}
+```
+
+### Data Fields
+
+Description of json keys:
+- `text`: text of the sentence
+- `tokens`: list of tokens made by tokenization process
+  - `index`: token order index in sentence
+  - `position`: token chars span indices <included, excluded>
+  - `orth`: word
+  - `lemma`: lemmatised word
+  - `pos`: part of speech
+  - `ctag`: morphosyntactic tag
+- `phrases`: list of multi-word 
+- `wsd`: annotation labels for the WSD task
+
+### Data Splits
+
+We do not specify an exact data split for training and evaluation. However, we suggest to use GLEX and Składnica for training and other datasets for testing.
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection, Normalization and Post-processing
+
+Source corpora were initially pre-processed using morphosyntactic tagging and multi-word expression recognition tools.
+To tokenize and tag the datasets we used [MorphoDiTa](https://clarin-pl.eu/dspace/handle/11321/425) adapted to Polish language. To recognize multi-word expressions
+we applied pattern-based matching tool [Corpus2-MWE](https://clarin-pl.eu/dspace/handle/11321/533) - only MWEs from plWordNet were included. After manual annotation, 
+sense indices of plWordNet 4.5 were mapped automatically to Princeton WordNet 3.0 and BabelNet 4.0 indices using plWordNet's interlingual mapping.
+
+### Annotations
+
+#### Annotation process
+
+* 2+1 annotation process with inter-annotator agreement score over 0.6 PSA
+* annotated with [plWordNet 4.5](http://plwordnet.pwr.wroc.pl/wordnet/)
+* software: [WordNet-Loom](https://clarin-pl.eu/dspace/handle/11321/275) and [Inforex](https://clarin-pl.eu/dspace/handle/11321/13)
+* both single-word and multi-word expressions annotated
+* full-text sense annotation (excluding KPWr)
+
+#### Who are the annotators?
+
+- professional linguists from CLARIN-PL project
+
+### Personal and Sensitive Information
+
+The datasets do not contain any personal or sensitive information.
+
+## Considerations for Using the Data
+
+### Discussion of Biases
+
+Some datasets are biased towards most frequent senses. No information about other biases - needs further analysis.
+
+### Other Known Limitations
+
+* sense inventories are usually incomplete therefore some word senses might be missing in plWordNet
+* single-word and multi-word terms expressing novel senses (missing in plWordNet) were not marked
+
+## Additional Information
+
+### Dataset Curators
+
+Arkadiusz Janz (arkadiusz.janz@pwr.edu.pl)
+
+### Licensing Information
+
+KPWR-100 [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)  
+KPWR [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)  
+Walenty [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)  
+Sherlock [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)  
+Skladnica [GNU GPL 3](http://www.gnu.org/licenses/gpl-3.0.en.html)  
+GLEX [plWordNet License](http://plwordnet.pwr.wroc.pl/wordnet/licence)  
+
+
+### Citation Information
+
+Main source (all corpora as a unified benchmark) and published here on HuggingFace:
+
+````
+@InProceedings{10.1007/978-3-031-08754-7_70,
+  author="Janz, Arkadiusz
+  and Dziob, Agnieszka
+  and Oleksy, Marcin
+  and Baran, Joanna",
+  editor="Groen, Derek
+  and de Mulatier, Cl{\'e}llia
+  and Paszynski, Maciej
+  and Krzhizhanovskaya, Valeria V.
+  and Dongarra, Jack J.
+  and Sloot, Peter M. A.",
+  title="A Unified Sense Inventory for Word Sense Disambiguation in Polish",
+  booktitle="Computational Science -- ICCS 2022",
+  year="2022",
+  publisher="Springer International Publishing",
+  address="Cham",
+  pages="682--689",
+  isbn="978-3-031-08754-7"
+}
+
+````
+
+Related work
+------------
+
+KPWr-100, Składnica, SPEC
+````
+@article{janzresults,
+  title={Results of the PolEval 2020 Shared Task 3: Word Sense Disambiguation},
+  author={Janz, Arkadiusz and Chlebus, Joanna and Dziob, Agnieszka and Piasecki, Maciej},
+  journal={Proceedings of the PolEval 2020 Workshop},
+  pages={65--77},
+  year={2020}
+}
+````
+
+GLEX (EmoGLEX)
+
+````
+@article{janz2017plwordnet,
+  title={{plWordNet} as a basis for large emotive lexicons of Polish},
+  author={Janz, Arkadiusz and Kocon, Jan and Piasecki, Maciej and Zasko-Zielinska, Monika},
+  journal={Proceedings of Human Language Technologies as a Challenge for Computer Science and Linguistics Poznan: Fundacja Uniwersytetu im. Adama Mickiewicza w Poznaniu},
+  pages={189--193},
+  year={2017}
+}
+````
+
+KPWr
+````
+@conference{broda2012,
+	address = {Istanbul, Turkey},
+	author = {Bartosz Broda and Micha{\l} Marci{\'n}czuk and Marek Maziarz and Adam Radziszewski and Adam Wardy{\'n}ski},
+	booktitle = {Proceedings of LREC'12},
+	owner = {Marlena},
+	publisher = {ELRA},
+	timestamp = {2014.06.20},
+	title = {KPWr: Towards a Free Corpus of Polish},
+	year = {2012}
+}
+````
+
+Składnica
+````
+@inproceedings{hajnicz-2014-lexico,
+    title = "Lexico-Semantic Annotation of Sk{\l}adnica Treebank by means of {PLWN} Lexical Units",
+    author = "Hajnicz, El{\.z}bieta",
+    booktitle = "Proceedings of the Seventh Global {W}ordnet Conference",
+    month = jan,
+    year = "2014",
+    address = "Tartu, Estonia",
+    publisher = "University of Tartu Press",
+    url = "https://aclanthology.org/W14-0104",
+    pages = "23--31",
+}
+````
+
+Walenty
+````
+@inproceedings{haj:and:bar:lrec16,
+	author = {Hajnicz, El{\.z}bieta and Andrzejczuk, Anna and Bartosiak, Tomasz},
+	crossref = {lrec:16},
+	pages = {2625--2632},
+	pdf = {http://www.lrec-conf.org/proceedings/lrec2016/pdf/382_Paper.pdf},
+	title = {Semantic Layer of the Valence Dictionary of {P}olish \emph{{W}alenty}}
+}
+````
+
+Mapping plWordNet onto Princeton WordNet
+````
+@inproceedings{rudnicka-etal-2021-non,
+    title = "A (Non)-Perfect Match: Mapping pl{W}ord{N}et onto {P}rinceton{W}ord{N}et",
+    author = "Rudnicka, Ewa  and
+      Witkowski, Wojciech  and
+      Piasecki, Maciej",
+    booktitle = "Proceedings of the 11th Global Wordnet Conference",
+    month = jan,
+    year = "2021",
+    address = "University of South Africa (UNISA)",
+    publisher = "Global Wordnet Association",
+    url = "https://aclanthology.org/2021.gwc-1.16",
+    pages = "137--146"
+}
+````
+

artifacts/hf_readmes/clarin-pl__ComplexQA__README.md

@@ -0,0 +1,29 @@
+---
+license: cc-by-sa-4.0
+task_categories:
+- question-answering
+language:
+- pl
+pretty_name: 'ComplexQA: Complex Question Answering on Long Documents in Polish Language'
+---
+
+# Complex Question Answering dataset
+
+Part of publication: Towards Complex Question Answering on Long Documents in Polish Language
+
+
+```
+@InProceedings{10.1007/978-3-032-09318-9_18,
+author="Wojtasik, Konrad
+and Domaga{\l}a, Aleksandra
+and Oleksy, Marcin
+and Piasecki, Maciej",
+title="Towards Complex Question Answering in Polish Language",
+booktitle="Computational Collective Intelligence",
+year="2026",
+publisher="Springer Nature Switzerland",
+address="Cham",
+pages="256--268",
+isbn="978-3-032-09318-9"
+}
+```

artifacts/hf_readmes/clarin-pl__PUGG__README.md

@@ -0,0 +1,173 @@
+---
+annotations_creators:
+- expert-generated
+language_creators: []
+language:
+- pl
+license:
+- cc-by-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- question-answering
+- text-retrieval
+task_ids:
+- extractive-qa
+- document-retrieval
+pretty_name: 'PUGG: KBQA, MRC, IR dataset for Polish'
+tags:
+- knowledge graph
+- KBQA
+- wikipedia
+- wikidata
+configs:
+- config_name: kbqa_all
+  data_files:
+  - split: train
+    path: kbqa/*/train.jsonl
+  - split: test
+    path: kbqa/*/test.jsonl
+- config_name: kbqa_natural
+  data_files:
+  - split: train
+    path: kbqa/natural/train.jsonl
+  - split: test
+    path: kbqa/natural/test.jsonl
+- config_name: kbqa_template-based
+  data_files:
+  - split: train
+    path: kbqa/template-based/train.jsonl
+  - split: test
+    path: kbqa/template-based/test.jsonl
+- config_name: mrc
+  data_files:
+  - split: train
+    path: mrc/train.jsonl
+  - split: test
+    path: mrc/test.jsonl
+- config_name: ir_corpus
+  data_files:
+  - split: test
+    path: ir/corpus.jsonl
+- config_name: ir_queries
+  data_files:
+  - split: test
+    path: ir/queries.jsonl
+- config_name: ir_qrels
+  data_files:
+  - split: test
+    path: ir/qrels/test.jsonl
+---
+# PUGG: KBQA, MRC, IR Dataset for Polish
+
+## Description
+
+This repository contains the PUGG dataset designed for three NLP tasks in the Polish language:
+
+- KBQA (Knowledge Base Question Answering)
+- MRC (Machine Reading Comprehension)
+- IR (Information Retrieval)
+
+## Paper
+
+For more detailed information, please refer to our research paper titled:
+
+**"Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction"** 
+
+Authored by:
+* Albert Sawczyn
+* Katsiaryna Viarenich
+* Konrad Wojtasik
+* Aleksandra Domogała
+* Marcin Oleksy
+* Maciej Piasecki
+* Tomasz Kajdanowicz
+  
+**The paper was accepted for ACL 2024 (findings).**
+
+## Repositories
+
+The dataset is available in the following repositories:
+
+* [General](https://huggingface.co/datasets/clarin-pl/PUGG) **(this repository)** - contains all tasks (KBQA, MRC, IR*)
+
+For more straightforward usage, the tasks are also available in separate repositories:
+
+* [KBQA](https://huggingface.co/datasets/clarin-pl/PUGG_KBQA) 
+* [MRC](https://huggingface.co/datasets/clarin-pl/PUGG_MRC) 
+* [IR](https://huggingface.co/datasets/clarin-pl/PUGG_IR) 
+
+The knowledge graph for KBQA task is available in the following repository:
+
+* [Knowledge Graph](https://huggingface.co/datasets/clarin-pl/PUGG_KG) 
+
+Note: If you want to utilize the IR task in the BEIR format (`qrels` in `.tsv` format), please 
+download the [IR](https://huggingface.co/datasets/clarin-pl/PUGG_IR) repository.
+
+## Links
+
+* Code:
+  * [Github](https://github.com/CLARIN-PL/PUGG)
+* Paper:
+  * ACL - TBA
+  * [Arxiv](https://arxiv.org/abs/2408.02337)
+
+## Citation
+
+```bibtex
+@misc{sawczyn2024developingpuggpolishmodern,
+      title={Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction}, 
+      author={Albert Sawczyn and Katsiaryna Viarenich and Konrad Wojtasik and Aleksandra Domogała and Marcin Oleksy and Maciej Piasecki and Tomasz Kajdanowicz},
+      year={2024},
+      eprint={2408.02337},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2408.02337}, 
+}
+```
+
+## Contact
+
+albert.sawczyn@pwr.edu.pl
+
+## Usage 
+
+```python
+from datasets import load_dataset
+
+# loading KBQA (all)
+dataset = load_dataset("clarin-pl/PUGG", "kbqa_all")
+print(dataset)
+
+# loading KBQA (natural)
+dataset = load_dataset("clarin-pl/PUGG", "kbqa_natural")
+print(dataset)
+
+# loading KBQA (template-based)
+dataset = load_dataset("clarin-pl/PUGG", "kbqa_template-based")
+print(dataset)
+
+# loading MRC
+
+dataset = load_dataset("clarin-pl/PUGG", "mrc")
+print(dataset)
+
+# loading IR
+
+## corpus
+dataset = load_dataset("clarin-pl/PUGG", "ir_corpus")
+print(dataset)
+
+## queries
+dataset = load_dataset("clarin-pl/PUGG", "ir_queries")
+print(dataset)
+
+## qrels
+dataset = load_dataset("clarin-pl/PUGG", "ir_qrels")
+print(dataset)
+```

artifacts/hf_readmes/clarin-pl__poquad__README.md

@@ -0,0 +1,24 @@
+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- pl
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: PoQuaD
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- question-answering
+task_ids:
+- extractive-qa
+- open-domain-qa
+---
+
+PoQuaD dataset

artifacts/hf_readmes/ipipan__polqa__README.md

@@ -0,0 +1,236 @@
+---
+task_categories:
+- question-answering
+- text-retrieval
+- text2text-generation
+task_ids:
+- open-domain-qa
+- document-retrieval
+- abstractive-qa
+language:
+- pl
+pretty_name: PolQA
+size_categories:
+- 10K<n<100K
+annotations_creators:
+- expert-generated
+license: cc-by-sa-4.0
+---
+
+# Dataset Card for PolQA Dataset
+
+## Dataset Description
+
+- **Paper:** [Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies](https://arxiv.org/abs/2212.08897)
+- **Point of Contact:** [Piotr Rybak](mailto:piotr.cezary.rybak@gmail.com)
+
+
+### Dataset Summary
+
+PolQA is the first Polish dataset for open-domain question answering. It consists of 7,000 questions, 87,525 manually labeled evidence passages, and a corpus of over 7 million candidate passages. The dataset can be used to train both a passage retriever and an abstractive reader.
+
+### Supported Tasks and Leaderboards
+
+- `open-domain-qa`: The dataset can be used to train a model for open-domain question answering. Success on this task is typically measured using [metric defined during PolEval 2021](https://2021.poleval.pl/tasks/task4).
+- `document-retrieval`: The dataset can be used to train a model for document retrieval. Success on this task is typically measured by [top-k retrieval accuracy](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html) or [NDCG](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html).
+- `abstractive-qa`: The dataset can be used to train a model for abstractive question answering. Success on this task is typically measured using [metric defined during PolEval 2021](https://2021.poleval.pl/tasks/task4).
+
+### Languages
+
+The text is in Polish, as spoken by the host of the [Jeden z Dziesięciu](https://pl.wikipedia.org/wiki/Jeden_z_dziesi%C4%99ciu) TV show (questions) and [Polish Wikipedia](https://pl.wikipedia.org/) editors (passages). The BCP-47 code for Polish is pl-PL.
+
+## Dataset Structure
+
+### Data Instances
+
+The main part of the dataset consists of manually annotated question-passage pairs. For each instance, there is a `question`, a passage (`passage_id`, `passage_title`, `passage_text`), and a boolean indicator if the passage is `relevant` for the given question (i.e. does it contain the answers).
+
+For each `question` there is a list of possible `answers` formulated in a natural language, in a way a Polish
+speaker would answer the questions. It means that the answers might
+contain prepositions, be inflected, and contain punctuation. In some
+cases, the answer might have multiple correct variants, e.g. numbers
+are written as numerals and words, synonyms, abbreviations and their
+expansions.
+
+Additionally, we provide a classification of each question-answer pair based on the `question_formulation`, the `question_type`, and the `entity_type/entity_subtype`, according to the taxonomy proposed by
+[Maciej Ogrodniczuk and Piotr Przybyła (2021)](http://nlp.ipipan.waw.pl/Bib/ogr:prz:21:poleval.pdf).
+
+```
+{
+  'question_id': 6,
+  'passage_title': 'Mumbaj',
+  'passage_text': 'Mumbaj lub Bombaj (marathi मुंबई, trb.: Mumbaj; ang. Mumbai; do 1995 Bombay) – stolica indyjskiego stanu Maharasztra, położona na wyspie Salsette, na Morzu Arabskim.',
+  'passage_wiki': 'Mumbaj lub Bombaj (mr. मुंबई, trb.: "Mumbaj"; ang. Mumbai; do 1995 Bombay) – stolica indyjskiego stanu Maharasztra, położona na wyspie Salsette, na Morzu Arabskim. Wraz z miastami satelitarnymi tworzy najludniejszą po Delhi aglomerację liczącą 23 miliony mieszkańców. Dzięki naturalnemu położeniu jest to największy port morski kraju. Znajdują się tutaj także najsilniejsze giełdy Azji Południowej: National Stock Exchange of India i Bombay Stock Exchange.',
+  'passage_id': '42609-0',
+  'duplicate': False,
+  'question': 'W którym państwie leży Bombaj?',
+  'relevant': True,
+  'annotated_by': 'Igor',
+  'answers': "['w Indiach', 'Indie']",
+  'question_formulation': 'QUESTION',
+  'question_type': 'SINGLE ENTITY',
+  'entity_type': 'NAMED',
+  'entity_subtype': 'COUNTRY',
+  'split': 'train',
+  'passage_source': 'human'
+}
+```
+
+The second part of the dataset is a corpus of Polish Wikipedia (March 2022 snapshot) passages. The raw Wikipedia snapshot was parsed using [WikiExtractor](https://github.com/attardi/wikiextractor) and split into passages at the ends of the paragraphs or if the passage was longer than 500 characters.
+
+```
+{
+  'id': '42609-0',
+  'title': 'Mumbaj',
+  'text': 'Mumbaj lub Bombaj (mr. मुंबई, trb.: "Mumbaj"; ang. Mumbai; do 1995 Bombay) – stolica indyjskiego stanu Maharasztra, położona na wyspie Salsette, na Morzu Arabskim. Wraz z miastami satelitarnymi tworzy najludniejszą po Delhi aglomerację liczącą 23 miliony mieszkańców. Dzięki naturalnemu położeniu jest to największy port morski kraju. Znajdują się tutaj także najsilniejsze giełdy Azji Południowej: National Stock Exchange of India i Bombay Stock Exchange.'
+}
+```
+
+### Data Fields
+
+Question-passage pairs:
+
+- `question_id`: an integer id of the question
+- `passage_title`: a string containing the title of the Wikipedia article
+- `passage_text`: a string containing the passage text as extracted by the human annotator
+- `passage_wiki`: a string containing the passage text as it can be found in the provided Wikipedia corpus. Empty if the passage doesn't exist in the corpus.
+- `passage_id`: a string containing the id of the passage from the provided Wikipedia corpus. Empty if the passage doesn't exist in the corpus.
+- `duplicate`: a boolean flag representing whether a question-passage pair is duplicated in the dataset. This occurs when the same passage was found in multiple passage sources.
+- `question`: a string containing the question
+- `relevant`: a boolean flag representing whether a passage is relevant to the question (i.e. does it contain the answers)
+- `annotated_by`: a string containing the name of the annotator who verified the relevance of the pair
+- `answers`: a string containing a list of possible short answers to the question
+- `question_formulation`: a string containing a kind of expression used to request information. One of the following:
+  - `QUESTION`, e.g. *What is the name of the first letter of the Greek alphabet?*
+  - `COMMAND`, e.g. *Expand the abbreviation ’CIA’.*
+  - `COMPOUND`, e.g. *This French writer, born in the 19th century, is
+  considered a pioneer of sci-fi literature. What is his name?*
+- `question_type`: a string indicating what type of information is sought by the question. One of the following:
+  - `SINGLE ENTITY`, e.g. *Who is the hero in the Tomb Rider video game series?*
+  - `MULTIPLE ENTITIES`, e.g. *Which two seas are linked by the Corinth Canal?*
+  - `ENTITY CHOICE`, e.g. *Is "Sombrero" a type of dance, a hat, or a dish?*
+  - `YES/NO`, e.g. *When the term of office of the Polish Sejm is terminated, does it apply to the Senate as well?*
+  - `OTHER NAME`, e.g. *What was the nickname of Louis I, the King of the Franks?*
+  - `GAP FILLING`, e.g. *Finish the proverb: "If you fly with the crows... ".*
+- `entity_type`: a string containing a type of the sought entity. One of the following: `NAMED`, `UNNAMED`, or `YES/NO`.
+- `entity_subtype`: a string containing a subtype of the sought entity. Can take one of the 34 different values.
+- `split`: a string containing the split of the dataset. One of the following: `train`, `valid`, or `test`.
+- `passage_source`: a string containing the source of the passage. One of the following: 
+  - `human`: the passage was proposed by a human annotator using any
+internal (i.e. Wikipedia search) or external (e.g. Google) search engines and any keywords or queries they considered useful
+  - `hard-negatives`: the passage was proposed using a neural retriever trained on the passages found by the human annotators
+  - `zero-shot`: the passage was proposed by the BM25 retriever and re-ranked using [multilingual cross-encoder](https://huggingface.co/unicamp-dl/mMiniLM-L6-v2-mmarco-v2)
+
+Corpus of passages:
+
+- `id`: a string representing the Wikipedia article id and the index of extracted passage. Matches the `passage_id` from the main part of the dataset.
+- `title`: a string containing the title of the Wikipedia article. Matches the `passage_title` from the main part of the dataset.
+- `text`: a string containing the passage text. Matches the `passage_wiki` from the main part of the dataset.
+
+### Data Splits
+
+The questions are assigned into one of three splits: `train`, `validation`, and `test`. The `validation` and `test` questions are randomly sampled from the `test-B` dataset from the [PolEval 2021](https://2021.poleval.pl/tasks/task4) competition.
+
+|            | # questions | # positive passages | # negative passages |
+|------------|------------:|--------------------:|--------------------:|
+| train      |       5,000 |              27,131 |              34,904 |
+| validation |       1,000 |               5,839 |               6,927 |
+| test       |       1,000 |               5,938 |               6,786 |
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+The PolQA dataset was created to support and promote the research in the open-domain question answering for Polish. It also serves as a benchmark to evaluate OpenQA systems.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The majority of questions come from two existing resources, the
+6,000 questions from the [PolEval 2021 shared task on QA](https://2021.poleval.pl/tasks/task4) and additional 1,000 questions gathered by one of the shared
+task [participants](http://poleval.pl/files/poleval2021.pdf#page=151). Originally, the questions come from collections associated with TV shows, both officially published and gathered online by their fans, as well as questions used in actual quiz competitions, on TV or online.
+
+The evidence passages come from the Polish Wikipedia (March 2022 snapshot). The raw Wikipedia snapshot was parsed using [WikiExtractor](https://github.com/attardi/wikiextractor) and split into passages at the ends of the paragraphs or if the passage was longer than 500 characters.
+
+#### Who are the source language producers?
+
+The questions come from various sources and their authors are unknown but are mostly analogous (or even identical) to questions asked during the [Jeden z Dziesięciu](https://pl.wikipedia.org/wiki/Jeden_z_dziesi%C4%99ciu) TV show.
+
+The passages were written by the editors of the Polish Wikipedia.
+
+### Annotations
+
+#### Annotation process
+
+Two approaches were used to annotate the question-passage pairs. Each of them consists of two phases: the retrieval of candidate passages and the manual verification of their relevance.
+
+In the first approach, we asked annotators to use internal (i.e. Wikipedia search) or external (e.g. Google) search engines to find up to five relevant passages using any keywords or queries they consider useful  (`passage_source="human"`). Based on those passages, we trained the neural retriever to extend the number of relevant passages, as well as to retrieve the hard negatives (`passage_source="hard-negatives"`).
+
+In the second approach, the passage candidates were proposed by the BM25 retriever and re-ranked using [multilingual cross-encoder](https://huggingface.co/unicamp-dl/mMiniLM-L6-v2-mmarco-v2)  (`passage_source="zero-shot"`).
+
+In both cases, all proposed question-passage pairs were manually verified by the annotators.
+
+We release the annotation guidelines [here](https://docs.google.com/document/d/1LDW7EJFH0bm-FRlxM_uHb0mqJzKHiewOFBHe5qZnTW8/edit?usp=sharing).
+
+#### Who are the annotators?
+
+The annotation team consisted of 16 annotators, all native Polish
+speakers, most of them having linguistic backgrounds and previous
+experience as an annotator.
+
+### Personal and Sensitive Information
+
+The dataset does not contain any personal or sensitive information.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset was created to promote the research in the open-domain question answering for Polish and allow developing question answering systems.
+
+### Discussion of Biases
+
+The passages proposed by the `hard-negative` and `zero-shot` methods are bound to be easier to retrieve by retrievers since they were proposed by such. To mitigate this bias, we include the passages found by the human annotators in an unconstrained way (`passage_source="human"`). We hypothesize that it will result in more unbiased and diverse examples. Moreover, we asked the annotators to find not one but up to five passages, preferably from different articles to even further increase passage diversity.
+
+### Other Known Limitations
+
+The PolQA dataset focuses on trivia questions which might limit its usefulness in real-world applications since neural retrievers generalize poorly to other domains.
+
+## Additional Information
+
+### Dataset Curators
+
+The PolQA dataset was developed by Piotr Rybak, Piotr Przybyła, and Maciej Ogrodniczuk from the [Institute of Computer Science, Polish Academy of Sciences](http://zil.ipipan.waw.pl/).
+
+This work was supported by the European Regional Development Fund as a part of 2014–2020 Smart Growth Operational Programme, CLARIN — Common Language Resources and Technology Infrastructure, project no. POIR.04.02.00-00C002/19.
+
+### Licensing Information
+
+CC BY-SA 4.0
+
+### Citation Information
+
+```
+@inproceedings{rybak-etal-2024-polqa-polish,
+    title = "{P}ol{QA}: {P}olish Question Answering Dataset",
+    author = "Rybak, Piotr  and
+      Przyby{\l}a, Piotr  and
+      Ogrodniczuk, Maciej",
+    editor = "Calzolari, Nicoletta  and
+      Kan, Min-Yen  and
+      Hoste, Veronique  and
+      Lenci, Alessandro  and
+      Sakti, Sakriani  and
+      Xue, Nianwen",
+    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
+    month = may,
+    year = "2024",
+    address = "Torino, Italia",
+    publisher = "ELRA and ICCL",
+    url = "https://aclanthology.org/2024.lrec-main.1125",
+    pages = "12846--12855",
+    abstract = "Recently proposed systems for open-domain question answering (OpenQA) require large amounts of training data to achieve state-of-the-art performance. However, data annotation is known to be time-consuming and therefore expensive to acquire. As a result, the appropriate datasets are available only for a handful of languages (mainly English and Chinese). In this work, we introduce and publicly release PolQA, the first Polish dataset for OpenQA. It consists of 7,000 questions, 87,525 manually labeled evidence passages, and a corpus of over 7,097,322 candidate passages. Each question is classified according to its formulation, type, as well as entity type of the answer. This resource allows us to evaluate the impact of different annotation choices on the performance of the QA system and propose an efficient annotation strategy that increases the passage retrieval accuracy@10 by 10.55 p.p. while reducing the annotation cost by 82{\%}.",
+}
+```

artifacts/hf_readmes/michaljunczyk__pl-asr-bigos__README.md

@@ -0,0 +1,210 @@
+---
+annotations_creators:
+- crowdsourced
+- expert-generated
+- other
+- machine-generated
+language:
+- pl
+language_creators:
+- crowdsourced
+- expert-generated
+- other
+license:
+- cc-by-sa-4.0
+multilinguality:
+- monolingual
+pretty_name: pl-asr-bigos
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+- extended|librispeech_asr
+- extended|common_voice
+tags:
+- benchmark
+- polish
+- asr
+- speech
+task_categories:
+- automatic-speech-recognition
+task_ids: []
+extra_gated_prompt: |-
+    Original datasets used for curation of BIGOS have specific terms of usage that must be understood and agreed to before use. Below are the links to the license terms and datasets the specific license type applies to:
+    * [Creative Commons 0](https://creativecommons.org/share-your-work/public-domain/cc0) which applies to [Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0)
+    * [Creative Commons By Attribution Share Alike 4.0](https://creativecommons.org/licenses/by-sa/4.0/), which applies to [Clarin Cyfry](https://clarin-pl.eu/dspace/handle/11321/317), [Azon acoustic speech resources corpus](https://zasobynauki.pl/zasoby/korpus-nagran-probek-mowy-do-celow-budowy-modeli-akustycznych-dla-automatycznego-rozpoznawania-mowy,53293/).
+    * [Creative Commons By Attribution 3.0](https://creativecommons.org/licenses/by/3.0/), which applies to [CLARIN Mobile database](https://clarin-pl.eu/dspace/handle/11321/237), [CLARIN Studio database](https://clarin-pl.eu/dspace/handle/11321/236), [PELCRA Spelling and Numbers Voice Database](http://pelcra.pl/new/snuv) and [FLEURS dataset](https://huggingface.co/datasets/google/fleurs)
+    * [Creative Commons By Attribution 4.0](https://creativecommons.org/licenses/by/4.0/), which applies to [Multilingual Librispeech](https://huggingface.co/datasets/facebook/multilingual_librispeech) and [Poly AI Minds 14](https://huggingface.co/datasets/PolyAI/minds14)
+    * [Proprietiary License of Munich AI Labs dataset](https://www.caito.de/2019/01/03/the-m-ailabs-speech-dataset)
+    * Public domain mark, which applies to [PWR datasets](https://www.ii.pwr.edu.pl/~sas/ASR/)
+    To use selected dataset, you also need to fill in the access forms on the specific datasets pages:
+    * Common Voice: https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0
+
+extra_gated_fields:
+ I hereby confirm that I have read and accepted the license terms of datasets comprising BIGOS corpora: checkbox
+ I hereby confirm that I have registered on the original Common Voice page and agree to not attempt to determine the identity of speakers in the Common Voice dataset: checkbox
+---
+
+# Dataset Card for Polish ASR BIGOS corpora
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://huggingface.co/datasets/michaljunczyk/pl-asr-bigos
+- **Repository:** https://github.com/goodmike31/pl-asr-bigos-tools
+- **Paper:** https://annals-csis.org/proceedings/2023/drp/1609.html
+- **Leaderboard:** https://huggingface.co/spaces/michaljunczyk/pl-asr-bigos-benchmark
+- **Point of Contact:** michal.junczyk@amu.edu.pl
+
+### Dataset Summary
+
+The BIGOS (Benchmark Intended Grouping of Open Speech) corpora aims at simplifying the access and use of publicly available ASR speech datasets for Polish.<br>
+The initial release consist of test split with 1900 recordings and original transcriptions extracted from 10 publicly available datasets.
+
+### Supported Tasks and Leaderboards
+The leaderboard with benchmark of publicly available ASR systems supporting Polish is [under construction](https://huggingface.co/spaces/michaljunczyk/pl-asr-bigos-benchmark/).<br>
+Evaluation results of 3 commercial and 5 freely available can be found in the [paper](https://annals-csis.org/proceedings/2023/drp/1609.html).
+
+### Languages
+Polish
+
+## Dataset Structure
+Dataset consists audio recordings in WAV format and corresponding metadata.<br>
+Audio and metadata can be used in raw format (TSV) or via hugging face datasets library.
+
+
+### Data Instances
+1900 audio files with original transcriptions are available in "test" split.<br>
+This consitutes 1.6% of the total available transcribed speech in 10 source datasets considered in the initial release.
+
+### Data Fields
+Available fields:
+* file_id - file identifier
+* dataset_id - source dataset identifier
+* audio - binary representation of audio file
+* ref_original - original transcription of audio file
+* hyp_whisper_cloud - ASR hypothesis (output) from Whisper Cloud system
+* hyp_google_default - ASR hypothesis (output) from Google ASR system, default model
+* hyp_azure_default - ASR hypothesis (output) from Azure ASR system, default model
+* hyp_whisper_tiny - ASR hypothesis (output) from Whisper tiny model
+* hyp_whisper_base - ASR hypothesis (output) from Whisper base model
+* hyp_whisper_small - ASR hypothesis (output) from Whisper small model
+* hyp_whisper_medium - ASR hypothesis (output) from Whisper medium model
+* hyp_whisper_large - ASR hypothesis (output) from Whisper large (V2) model
+<br><br>
+
+Fields to be added in the next release:
+* ref_spoken - manual transcription in a spoken format (without normalization)
+* ref_written - manual transcription in a written format (with normalization)
+
+
+### Data Splits
+Initial release contains only "test" split.<br>
+"Dev" and "train" splits will be added in the next release.
+
+## Dataset Creation
+
+### Curation Rationale
+[Polish ASR Speech Data Catalog](https://github.com/goodmike31/pl-asr-speech-data-survey) was used to identify suitable datasets which can be repurposed and included in the BIGOS corpora.<br>
+The following mandatory criteria were considered:
+* Dataset must be downloadable.
+* The license must allow for free, noncommercial use.
+* Transcriptions must be available and align with the recordings.
+* The sampling rate of audio recordings must be at least 8 kHz.
+* Audio encoding using a minimum of 16 bits per sample.
+
+### Source Data
+10 datasets that meet the criteria were chosen as sources for the BIGOS dataset.
+* The Common Voice dataset (mozilla-common-voice-19)
+* The Multilingual LibriSpeech (MLS) dataset (fair-mls-20)
+* The Clarin Studio Corpus (clarin-pjatk-studio-15)
+* The Clarin Mobile Corpus (clarin-pjatk-mobile-15)
+* The Jerzy Sas PWR datasets from Politechnika Wrocławska (pwr-viu-unk, pwr-shortwords-unk, pwr-maleset-unk). More info [here](https://www.ii.pwr.edu.pl/)
+* The Munich-AI Labs Speech corpus (mailabs-19)
+* The AZON Read and Spontaneous Speech Corpora (pwr-azon-spont-20, pwr-azon-read-20) More info [here](https://zasobynauki.pl/zasoby/korpus-nagran-probek-mowy-do-celow-budowy-modeli-akustycznych-dla-automatycznego-rozpoznawania-mowy)
+
+#### Initial Data Collection and Normalization
+Source text and audio files were extracted and encoded in a unified format.<br>
+Dataset-specific transcription norms are preserved, including punctuation and casing. <br>
+To strike a balance in the evaluation dataset and to facilitate the comparison of Word Error Rate (WER) scores across multiple datasets, 200 samples are randomly selected from each corpus. <br>
+The only exception is ’pwr-azon-spont-20’, which contains significantly longer recordings and utterances, therefore only 100 samples are selected. <br>
+#### Who are the source language producers?
+1. Clarin corpora - Polish Japanese Academy of Technology
+2. Common Voice - Mozilla foundation
+3. Multlingual librispeech - Facebook AI research lab
+4. Jerzy Sas and AZON datasets - Politechnika Wrocławska
+
+Please refer to the [paper](https://www.researchgate.net/publication/374713542_BIGOS_-_Benchmark_Intended_Grouping_of_Open_Speech_Corpora_for_Polish_Automatic_Speech_Recognition) for more details.
+
+### Annotations
+
+#### Annotation process
+
+Current release contains original transcriptions.
+Manual transcriptions are planned for subsequent releases.
+
+#### Who are the annotators?
+Depends on the source dataset.
+
+### Personal and Sensitive Information
+This corpus does not contain PII or Sensitive Information.
+All IDs pf speakers are anonymized.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+To be updated.
+### Discussion of Biases
+To be updated.
+
+### Other Known Limitations
+The dataset in the initial release contains only a subset of recordings from original datasets.
+
+## Additional Information
+
+### Dataset Curators
+Original authors of the source datasets - please refer to [source-data](#source-data) for details.
+
+Michał Junczyk (michal.junczyk@amu.edu.pl) - curator of BIGOS corpora.
+
+### Licensing Information
+The BIGOS corpora is available under [Creative Commons By Attribution Share Alike 4.0 license.](https://creativecommons.org/licenses/by-sa/4.0/)
+
+Original datasets used for curation of BIGOS have specific terms of usage that must be understood and agreed to before use. Below are the links to the license terms and datasets the specific license type applies to:
+* [Creative Commons 0](https://creativecommons.org/share-your-work/public-domain/cc0) which applies to [Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0)
+* [Creative Commons By Attribution Share Alike 4.0](https://creativecommons.org/licenses/by-sa/4.0/), which applies to [Clarin Cyfry](https://clarin-pl.eu/dspace/handle/11321/317), [Azon acoustic speech resources corpus](https://zasobynauki.pl/zasoby/korpus-nagran-probek-mowy-do-celow-budowy-modeli-akustycznych-dla-automatycznego-rozpoznawania-mowy,53293/).
+* [Creative Commons By Attribution 3.0](https://creativecommons.org/licenses/by/3.0/), which applies to [CLARIN Mobile database](https://clarin-pl.eu/dspace/handle/11321/237), [CLARIN Studio database](https://clarin-pl.eu/dspace/handle/11321/236), [PELCRA Spelling and Numbers Voice Database](http://pelcra.pl/new/snuv) and [FLEURS dataset](https://huggingface.co/datasets/google/fleurs)
+* [Creative Commons By Attribution 4.0](https://creativecommons.org/licenses/by/4.0/), which applies to [Multilingual Librispeech](https://huggingface.co/datasets/facebook/multilingual_librispeech) and [Poly AI Minds 14](https://huggingface.co/datasets/PolyAI/minds14)
+* [Proprietiary License of Munich AI Labs dataset](https://www.caito.de/2019/01/03/the-m-ailabs-speech-dataset)
+* Public domain mark, which applies to [PWR datasets](https://www.ii.pwr.edu.pl/~sas/ASR/)
+
+### Citation Information
+Please cite [BIGOS V1 paper](https://annals-csis.org/proceedings/2023/drp/1609.html).
+
+### Contributions
+
+Thanks to [@goodmike31](https://github.com/goodmike31) for adding this dataset.

artifacts/hf_readmes/openlanguagedata__flores_plus__README.md

@@ -0,0 +1,2016 @@
+---
+annotations_creators:
+- found
+language_creators:
+- expert-generated
+language:
+- ace
+- acm
+- acq
+- aeb
+- af
+- ajp
+- ak
+- als
+- am
+- apc
+- ar
+- ars
+- ary
+- arz
+- as
+- ast
+- awa
+- ayr
+- azb
+- azj
+- ba
+- bm
+- ban
+- be
+- bem
+- bn
+- bho
+- bjn
+- bo
+- bs
+- bug
+- bg
+- ca
+- ceb
+- cs
+- cjk
+- ckb
+- crh
+- cy
+- da
+- de
+- dar
+- dik
+- dyu
+- dz
+- el
+- en
+- eo
+- et
+- eu
+- ee
+- fo
+- fj
+- fi
+- fon
+- fr
+- fur
+- fuv
+- gaz
+- gd
+- ga
+- gl
+- gn
+- gu
+- ht
+- ha
+- he
+- hi
+- hne
+- hr
+- hu
+- hy
+- ig
+- ilo
+- id
+- is
+- it
+- jv
+- ja
+- kab
+- kac
+- kam
+- kn
+- ks
+- ka
+- kk
+- kbp
+- kea
+- khk
+- km
+- ki
+- rw
+- kjh
+- ky
+- kmb
+- kmr
+- knc
+- kg
+- ko
+- lo
+- lij
+- li
+- lld
+- ln
+- lt
+- lmo
+- ltg
+- lb
+- lua
+- lg
+- luo
+- lus
+- lvs
+- mag
+- mai
+- ml
+- mar
+- mfe
+- mhr
+- min
+- mk
+- mt
+- mni
+- mos
+- mi
+- my
+- nl
+- nn
+- nb
+- npi
+- nso
+- nus
+- ny
+- oc
+- ory
+- pag
+- pa
+- pap
+- pbt
+- pes
+- plt
+- pl
+- pt
+- prs
+- quy
+- ro
+- rn
+- ru
+- sg
+- sa
+- sat
+- scn
+- shn
+- si
+- sk
+- sl
+- sm
+- sn
+- sd
+- so
+- st
+- es
+- sc
+- sr
+- ss
+- su
+- sv
+- swh
+- szl
+- ta
+- taq
+- tt
+- te
+- tg
+- tl
+- th
+- ti
+- tpi
+- tn
+- ts
+- tk
+- tum
+- tr
+- tw
+- tzm
+- udm
+- ug
+- uk
+- umb
+- ur
+- uzn
+- uzs
+- vec
+- vi
+- war
+- wo
+- xh
+- ydd
+- yo
+- yue
+- zgh
+- zh
+- zsm
+- zu
+license:
+- cc-by-sa-4.0
+multilinguality:
+- multilingual
+- translation
+size_categories:
+- unknown
+source_datasets:
+- extended|flores
+task_categories:
+- text-generation
+- translation
+task_ids: []
+pretty_name: flores+
+language_details: ace_Arab, ace_Latn, acm_Arab, acq_Arab, aeb_Arab, afr_Latn, ajp_Arab,
+  aka_Latn, amh_Ethi, apc_Arab, arb_Arab, ars_Arab, ary_Arab, arz_Arab, asm_Beng,
+  ast_Latn, awa_Deva, ayr_Latn, azb_Arab, azj_Latn, bak_Cyrl, bam_Latn, ban_Latn, bel_Cyrl,
+  bem_Latn, ben_Beng, bho_Deva, bjn_Arab, bjn_Latn, bod_Tibt, bos_Latn, bug_Latn,
+  bul_Cyrl, cat_Latn, ceb_Latn, ces_Latn, cjk_Latn, ckb_Arab, crh_Latn, cym_Latn,
+  dan_Latn, deu_Latn, dar_Cyrl, dik_Latn, dyu_Latn, dzo_Tibt, ell_Grek, eng_Latn, epo_Latn,
+  est_Latn, eus_Latn, ewe_Latn, fao_Latn, pes_Arab, fij_Latn, fin_Latn, fon_Latn,
+  fra_Latn, fur_Latn, fuv_Latn, gla_Latn, gle_Latn, glg_Latn, grn_Latn, guj_Gujr,
+  hat_Latn, hau_Latn, heb_Hebr, hin_Deva, hne_Deva, hrv_Latn, hun_Latn, hye_Armn,
+  ibo_Latn, ilo_Latn, ind_Latn, isl_Latn, ita_Latn, jav_Latn, jpn_Jpan, kab_Latn,
+  kac_Latn, kam_Latn, kan_Knda, kas_Arab, kas_Deva, kat_Geor, knc_Arab, knc_Latn,
+  kaz_Cyrl, kbp_Latn, kea_Latn, khm_Khmr, kik_Latn, kin_Latn, kir_Cyrl, kjh_Cyrl, kmb_Latn,
+  kon_Latn, kor_Hang, kmr_Latn, lao_Laoo, lvs_Latn, lij_Latn, lim_Latn, lin_Latn,
+  lit_Latn, lld_Latn, lmo_Latn, ltg_Latn, ltz_Latn, lua_Latn, lug_Latn, luo_Latn, lus_Latn,
+  mag_Deva, mai_Deva, mal_Mlym, mar_Deva, mfe_Latn, mhr_Cyrl, min_Latn, mkd_Cyrl, plt_Latn, mlt_Latn,
+  mni_Beng, khk_Cyrl, khk_Mong, mos_Latn, mri_Latn, zsm_Latn, mya_Mymr, nld_Latn, nno_Latn,
+  nob_Latn, npi_Deva, nso_Latn, nus_Latn, nya_Latn, oci_Latn, gaz_Latn, ory_Orya,
+  pag_Latn, pan_Guru, pap_Latn, pol_Latn, por_Latn, prs_Arab, pbt_Arab, quy_Latn,
+  ron_Latn, run_Latn, rus_Cyrl, sag_Latn, san_Deva, sat_Beng, scn_Latn, shn_Mymr,
+  sin_Sinh, slk_Latn, slv_Latn, smo_Latn, sna_Latn, snd_Arab, som_Latn, sot_Latn,
+  spa_Latn, als_Latn, srd_Latn, srp_Cyrl, ssw_Latn, sun_Latn, swe_Latn, swh_Latn,
+  szl_Latn, tam_Taml, tat_Cyrl, tel_Telu, tgk_Cyrl, tgl_Latn, tha_Thai, tir_Ethi,
+  taq_Latn, taq_Tfng, tpi_Latn, tsn_Latn, tso_Latn, tuk_Latn, tum_Latn, tur_Latn,
+  twi_Latn, tzm_Tfng, udm_Cyrl, uig_Arab, ukr_Cyrl, umb_Latn, urd_Arab, uzn_Latn, uzs_Arab, vec_Latn,
+  vie_Latn, war_Latn, wol_Latn, xho_Latn, ydd_Hebr, yor_Latn, yue_Hant, zgh_Tfng, zho_Hans,
+  zho_Hant, zul_Latn
+tags:
+- text
+configs:
+- config_name: default
+  data_files:
+  - split: dev
+    path: "dev/*.jsonl"
+  - split: devtest
+    path: "devtest/*.jsonl"
+# all configs below were generated automatically based on the filenames of the dataset contents
+- config_name: ace_Arab
+  data_files:
+  - path: dev/ace_Arab.jsonl
+    split: dev
+  - path: devtest/ace_Arab.jsonl
+    split: devtest
+- config_name: ace_Latn
+  data_files:
+  - path: dev/ace_Latn.jsonl
+    split: dev
+  - path: devtest/ace_Latn.jsonl
+    split: devtest
+- config_name: acm_Arab
+  data_files:
+  - path: dev/acm_Arab.jsonl
+    split: dev
+  - path: devtest/acm_Arab.jsonl
+    split: devtest
+- config_name: acq_Arab
+  data_files:
+  - path: dev/acq_Arab.jsonl
+    split: dev
+  - path: devtest/acq_Arab.jsonl
+    split: devtest
+- config_name: aeb_Arab
+  data_files:
+  - path: dev/aeb_Arab.jsonl
+    split: dev
+  - path: devtest/aeb_Arab.jsonl
+    split: devtest
+- config_name: afr_Latn
+  data_files:
+  - path: dev/afr_Latn.jsonl
+    split: dev
+  - path: devtest/afr_Latn.jsonl
+    split: devtest
+- config_name: als_Latn
+  data_files:
+  - path: dev/als_Latn.jsonl
+    split: dev
+  - path: devtest/als_Latn.jsonl
+    split: devtest
+- config_name: amh_Ethi
+  data_files:
+  - path: dev/amh_Ethi.jsonl
+    split: dev
+  - path: devtest/amh_Ethi.jsonl
+    split: devtest
+- config_name: apc_Arab_nort3139
+  data_files:
+  - path: dev/apc_Arab_nort3139.jsonl
+    split: dev
+  - path: devtest/apc_Arab_nort3139.jsonl
+    split: devtest
+- config_name: apc_Arab_sout3123
+  data_files:
+  - path: dev/apc_Arab_sout3123.jsonl
+    split: dev
+  - path: devtest/apc_Arab_sout3123.jsonl
+    split: devtest
+- config_name: arb_Arab
+  data_files:
+  - path: dev/arb_Arab.jsonl
+    split: dev
+  - path: devtest/arb_Arab.jsonl
+    split: devtest
+- config_name: arb_Latn
+  data_files:
+  - path: dev/arb_Latn.jsonl
+    split: dev
+  - path: devtest/arb_Latn.jsonl
+    split: devtest
+- config_name: arg_Latn
+  data_files:
+  - path: dev/arg_Latn.jsonl
+    split: dev
+  - path: devtest/arg_Latn.jsonl
+    split: devtest
+- config_name: ars_Arab
+  data_files:
+  - path: dev/ars_Arab.jsonl
+    split: dev
+  - path: devtest/ars_Arab.jsonl
+    split: devtest
+- config_name: ary_Arab
+  data_files:
+  - path: dev/ary_Arab.jsonl
+    split: dev
+  - path: devtest/ary_Arab.jsonl
+    split: devtest
+- config_name: arz_Arab
+  data_files:
+  - path: dev/arz_Arab.jsonl
+    split: dev
+  - path: devtest/arz_Arab.jsonl
+    split: devtest
+- config_name: asm_Beng
+  data_files:
+  - path: dev/asm_Beng.jsonl
+    split: dev
+  - path: devtest/asm_Beng.jsonl
+    split: devtest
+- config_name: ast_Latn
+  data_files:
+  - path: dev/ast_Latn.jsonl
+    split: dev
+  - path: devtest/ast_Latn.jsonl
+    split: devtest
+- config_name: awa_Deva
+  data_files:
+  - path: dev/awa_Deva.jsonl
+    split: dev
+  - path: devtest/awa_Deva.jsonl
+    split: devtest
+- config_name: ayr_Latn
+  data_files:
+  - path: dev/ayr_Latn.jsonl
+    split: dev
+  - path: devtest/ayr_Latn.jsonl
+    split: devtest
+- config_name: azb_Arab
+  data_files:
+  - path: dev/azb_Arab.jsonl
+    split: dev
+  - path: devtest/azb_Arab.jsonl
+    split: devtest
+- config_name: azj_Latn
+  data_files:
+  - path: dev/azj_Latn.jsonl
+    split: dev
+  - path: devtest/azj_Latn.jsonl
+    split: devtest
+- config_name: bak_Cyrl
+  data_files:
+  - path: dev/bak_Cyrl.jsonl
+    split: dev
+  - path: devtest/bak_Cyrl.jsonl
+    split: devtest
+- config_name: bam_Latn
+  data_files:
+  - path: dev/bam_Latn.jsonl
+    split: dev
+  - path: devtest/bam_Latn.jsonl
+    split: devtest
+- config_name: ban_Latn
+  data_files:
+  - path: dev/ban_Latn.jsonl
+    split: dev
+  - path: devtest/ban_Latn.jsonl
+    split: devtest
+- config_name: bel_Cyrl
+  data_files:
+  - path: dev/bel_Cyrl.jsonl
+    split: dev
+  - path: devtest/bel_Cyrl.jsonl
+    split: devtest
+- config_name: bem_Latn
+  data_files:
+  - path: dev/bem_Latn.jsonl
+    split: dev
+  - path: devtest/bem_Latn.jsonl
+    split: devtest
+- config_name: ben_Beng
+  data_files:
+  - path: dev/ben_Beng.jsonl
+    split: dev
+  - path: devtest/ben_Beng.jsonl
+    split: devtest
+- config_name: bho_Deva
+  data_files:
+  - path: dev/bho_Deva.jsonl
+    split: dev
+  - path: devtest/bho_Deva.jsonl
+    split: devtest
+- config_name: bjn_Arab
+  data_files:
+  - path: dev/bjn_Arab.jsonl
+    split: dev
+  - path: devtest/bjn_Arab.jsonl
+    split: devtest
+- config_name: bjn_Latn
+  data_files:
+  - path: dev/bjn_Latn.jsonl
+    split: dev
+  - path: devtest/bjn_Latn.jsonl
+    split: devtest
+- config_name: bod_Tibt
+  data_files:
+  - path: dev/bod_Tibt.jsonl
+    split: dev
+  - path: devtest/bod_Tibt.jsonl
+    split: devtest
+- config_name: bos_Latn
+  data_files:
+  - path: dev/bos_Latn.jsonl
+    split: dev
+  - path: devtest/bos_Latn.jsonl
+    split: devtest
+- config_name: brx_Deva
+  data_files:
+  - path: dev/brx_Deva.jsonl
+    split: dev
+- config_name: bug_Latn
+  data_files:
+  - path: dev/bug_Latn.jsonl
+    split: dev
+  - path: devtest/bug_Latn.jsonl
+    split: devtest
+- config_name: bul_Cyrl
+  data_files:
+  - path: dev/bul_Cyrl.jsonl
+    split: dev
+  - path: devtest/bul_Cyrl.jsonl
+    split: devtest
+- config_name: cat_Latn
+  data_files:
+  - path: dev/cat_Latn.jsonl
+    split: dev
+  - path: devtest/cat_Latn.jsonl
+    split: devtest
+- config_name: cat_Latn_vale1252
+  data_files:
+  - path: devtest/cat_Latn_vale1252.jsonl
+    split: devtest
+- config_name: ceb_Latn
+  data_files:
+  - path: dev/ceb_Latn.jsonl
+    split: dev
+  - path: devtest/ceb_Latn.jsonl
+    split: devtest
+- config_name: ces_Latn
+  data_files:
+  - path: dev/ces_Latn.jsonl
+    split: dev
+  - path: devtest/ces_Latn.jsonl
+    split: devtest
+- config_name: chv_Cyrl
+  data_files:
+  - path: dev/chv_Cyrl.jsonl
+    split: dev
+  - path: devtest/chv_Cyrl.jsonl
+    split: devtest
+- config_name: cjk_Latn
+  data_files:
+  - path: dev/cjk_Latn.jsonl
+    split: dev
+  - path: devtest/cjk_Latn.jsonl
+    split: devtest
+- config_name: ckb_Arab
+  data_files:
+  - path: dev/ckb_Arab.jsonl
+    split: dev
+  - path: devtest/ckb_Arab.jsonl
+    split: devtest
+- config_name: cmn_Hans
+  data_files:
+  - path: dev/cmn_Hans.jsonl
+    split: dev
+  - path: devtest/cmn_Hans.jsonl
+    split: devtest
+- config_name: cmn_Hant
+  data_files:
+  - path: dev/cmn_Hant.jsonl
+    split: dev
+  - path: devtest/cmn_Hant.jsonl
+    split: devtest
+- config_name: crh_Latn
+  data_files:
+  - path: dev/crh_Latn.jsonl
+    split: dev
+  - path: devtest/crh_Latn.jsonl
+    split: devtest
+- config_name: cym_Latn
+  data_files:
+  - path: dev/cym_Latn.jsonl
+    split: dev
+  - path: devtest/cym_Latn.jsonl
+    split: devtest
+- config_name: dan_Latn
+  data_files:
+  - path: dev/dan_Latn.jsonl
+    split: dev
+  - path: devtest/dan_Latn.jsonl
+    split: devtest
+- config_name: dar_Cyrl
+  data_files:
+  - path: dev/dar_Cyrl.jsonl
+    split: dev
+- config_name: deu_Latn
+  data_files:
+  - path: dev/deu_Latn.jsonl
+    split: dev
+  - path: devtest/deu_Latn.jsonl
+    split: devtest
+- config_name: dgo_Deva
+  data_files:
+  - path: dev/dgo_Deva.jsonl
+    split: dev
+- config_name: dik_Latn
+  data_files:
+  - path: dev/dik_Latn.jsonl
+    split: dev
+  - path: devtest/dik_Latn.jsonl
+    split: devtest
+- config_name: dyu_Latn
+  data_files:
+  - path: dev/dyu_Latn.jsonl
+    split: dev
+  - path: devtest/dyu_Latn.jsonl
+    split: devtest
+- config_name: dzo_Tibt
+  data_files:
+  - path: dev/dzo_Tibt.jsonl
+    split: dev
+  - path: devtest/dzo_Tibt.jsonl
+    split: devtest
+- config_name: ekk_Latn
+  data_files:
+  - path: dev/ekk_Latn.jsonl
+    split: dev
+  - path: devtest/ekk_Latn.jsonl
+    split: devtest
+- config_name: ell_Grek
+  data_files:
+  - path: dev/ell_Grek.jsonl
+    split: dev
+  - path: devtest/ell_Grek.jsonl
+    split: devtest
+- config_name: eng_Latn
+  data_files:
+  - path: dev/eng_Latn.jsonl
+    split: dev
+  - path: devtest/eng_Latn.jsonl
+    split: devtest
+- config_name: epo_Latn
+  data_files:
+  - path: dev/epo_Latn.jsonl
+    split: dev
+  - path: devtest/epo_Latn.jsonl
+    split: devtest
+- config_name: eus_Latn
+  data_files:
+  - path: dev/eus_Latn.jsonl
+    split: dev
+  - path: devtest/eus_Latn.jsonl
+    split: devtest
+- config_name: ewe_Latn
+  data_files:
+  - path: dev/ewe_Latn.jsonl
+    split: dev
+  - path: devtest/ewe_Latn.jsonl
+    split: devtest
+- config_name: fao_Latn
+  data_files:
+  - path: dev/fao_Latn.jsonl
+    split: dev
+  - path: devtest/fao_Latn.jsonl
+    split: devtest
+- config_name: fij_Latn
+  data_files:
+  - path: dev/fij_Latn.jsonl
+    split: dev
+  - path: devtest/fij_Latn.jsonl
+    split: devtest
+- config_name: fil_Latn
+  data_files:
+  - path: dev/fil_Latn.jsonl
+    split: dev
+  - path: devtest/fil_Latn.jsonl
+    split: devtest
+- config_name: fin_Latn
+  data_files:
+  - path: dev/fin_Latn.jsonl
+    split: dev
+  - path: devtest/fin_Latn.jsonl
+    split: devtest
+- config_name: fon_Latn
+  data_files:
+  - path: dev/fon_Latn.jsonl
+    split: dev
+  - path: devtest/fon_Latn.jsonl
+    split: devtest
+- config_name: fra_Latn
+  data_files:
+  - path: dev/fra_Latn.jsonl
+    split: dev
+  - path: devtest/fra_Latn.jsonl
+    split: devtest
+- config_name: fur_Latn
+  data_files:
+  - path: dev/fur_Latn.jsonl
+    split: dev
+  - path: devtest/fur_Latn.jsonl
+    split: devtest
+- config_name: fuv_Latn
+  data_files:
+  - path: dev/fuv_Latn.jsonl
+    split: dev
+  - path: devtest/fuv_Latn.jsonl
+    split: devtest
+- config_name: gaz_Latn
+  data_files:
+  - path: dev/gaz_Latn.jsonl
+    split: dev
+  - path: devtest/gaz_Latn.jsonl
+    split: devtest
+- config_name: gla_Latn
+  data_files:
+  - path: dev/gla_Latn.jsonl
+    split: dev
+  - path: devtest/gla_Latn.jsonl
+    split: devtest
+- config_name: gle_Latn
+  data_files:
+  - path: dev/gle_Latn.jsonl
+    split: dev
+  - path: devtest/gle_Latn.jsonl
+    split: devtest
+- config_name: glg_Latn
+  data_files:
+  - path: dev/glg_Latn.jsonl
+    split: dev
+  - path: devtest/glg_Latn.jsonl
+    split: devtest
+- config_name: gom_Deva
+  data_files:
+  - path: dev/gom_Deva.jsonl
+    split: dev
+- config_name: gug_Latn
+  data_files:
+  - path: dev/gug_Latn.jsonl
+    split: dev
+  - path: devtest/gug_Latn.jsonl
+    split: devtest
+- config_name: guj_Gujr
+  data_files:
+  - path: dev/guj_Gujr.jsonl
+    split: dev
+  - path: devtest/guj_Gujr.jsonl
+    split: devtest
+- config_name: hat_Latn
+  data_files:
+  - path: dev/hat_Latn.jsonl
+    split: dev
+  - path: devtest/hat_Latn.jsonl
+    split: devtest
+- config_name: hau_Latn
+  data_files:
+  - path: dev/hau_Latn.jsonl
+    split: dev
+  - path: devtest/hau_Latn.jsonl
+    split: devtest
+- config_name: heb_Hebr
+  data_files:
+  - path: dev/heb_Hebr.jsonl
+    split: dev
+  - path: devtest/heb_Hebr.jsonl
+    split: devtest
+- config_name: hin_Deva
+  data_files:
+  - path: dev/hin_Deva.jsonl
+    split: dev
+  - path: devtest/hin_Deva.jsonl
+    split: devtest
+- config_name: hne_Deva
+  data_files:
+  - path: dev/hne_Deva.jsonl
+    split: dev
+  - path: devtest/hne_Deva.jsonl
+    split: devtest
+- config_name: hrv_Latn
+  data_files:
+  - path: dev/hrv_Latn.jsonl
+    split: dev
+  - path: devtest/hrv_Latn.jsonl
+    split: devtest
+- config_name: hun_Latn
+  data_files:
+  - path: dev/hun_Latn.jsonl
+    split: dev
+  - path: devtest/hun_Latn.jsonl
+    split: devtest
+- config_name: hye_Armn
+  data_files:
+  - path: dev/hye_Armn.jsonl
+    split: dev
+  - path: devtest/hye_Armn.jsonl
+    split: devtest
+- config_name: ibo_Latn
+  data_files:
+  - path: dev/ibo_Latn.jsonl
+    split: dev
+  - path: devtest/ibo_Latn.jsonl
+    split: devtest
+- config_name: ilo_Latn
+  data_files:
+  - path: dev/ilo_Latn.jsonl
+    split: dev
+  - path: devtest/ilo_Latn.jsonl
+    split: devtest
+- config_name: ind_Latn
+  data_files:
+  - path: dev/ind_Latn.jsonl
+    split: dev
+  - path: devtest/ind_Latn.jsonl
+    split: devtest
+- config_name: isl_Latn
+  data_files:
+  - path: dev/isl_Latn.jsonl
+    split: dev
+  - path: devtest/isl_Latn.jsonl
+    split: devtest
+- config_name: ita_Latn
+  data_files:
+  - path: dev/ita_Latn.jsonl
+    split: dev
+  - path: devtest/ita_Latn.jsonl
+    split: devtest
+- config_name: jav_Latn
+  data_files:
+  - path: dev/jav_Latn.jsonl
+    split: dev
+  - path: devtest/jav_Latn.jsonl
+    split: devtest
+- config_name: jpn_Jpan
+  data_files:
+  - path: dev/jpn_Jpan.jsonl
+    split: dev
+  - path: devtest/jpn_Jpan.jsonl
+    split: devtest
+- config_name: kaa_Latn
+  data_files:
+  - path: devtest/kaa_Latn.jsonl
+    split: devtest
+- config_name: kab_Latn
+  data_files:
+  - path: dev/kab_Latn.jsonl
+    split: dev
+  - path: devtest/kab_Latn.jsonl
+    split: devtest
+- config_name: kac_Latn
+  data_files:
+  - path: dev/kac_Latn.jsonl
+    split: dev
+  - path: devtest/kac_Latn.jsonl
+    split: devtest
+- config_name: kam_Latn
+  data_files:
+  - path: dev/kam_Latn.jsonl
+    split: dev
+  - path: devtest/kam_Latn.jsonl
+    split: devtest
+- config_name: kan_Knda
+  data_files:
+  - path: dev/kan_Knda.jsonl
+    split: dev
+  - path: devtest/kan_Knda.jsonl
+    split: devtest
+- config_name: kas_Arab
+  data_files:
+  - path: dev/kas_Arab.jsonl
+    split: dev
+  - path: devtest/kas_Arab.jsonl
+    split: devtest
+- config_name: kas_Deva
+  data_files:
+  - path: dev/kas_Deva.jsonl
+    split: dev
+  - path: devtest/kas_Deva.jsonl
+    split: devtest
+- config_name: kat_Geor
+  data_files:
+  - path: dev/kat_Geor.jsonl
+    split: dev
+  - path: devtest/kat_Geor.jsonl
+    split: devtest
+- config_name: kaz_Cyrl
+  data_files:
+  - path: dev/kaz_Cyrl.jsonl
+    split: dev
+  - path: devtest/kaz_Cyrl.jsonl
+    split: devtest
+- config_name: kbp_Latn
+  data_files:
+  - path: dev/kbp_Latn.jsonl
+    split: dev
+  - path: devtest/kbp_Latn.jsonl
+    split: devtest
+- config_name: kea_Latn
+  data_files:
+  - path: dev/kea_Latn.jsonl
+    split: dev
+  - path: devtest/kea_Latn.jsonl
+    split: devtest
+- config_name: khk_Cyrl
+  data_files:
+  - path: dev/khk_Cyrl.jsonl
+    split: dev
+  - path: devtest/khk_Cyrl.jsonl
+    split: devtest
+- config_name: khk_Mong
+  data_files:
+  - path: devtest/khk_Mong.jsonl
+    split: devtest
+- config_name: khm_Khmr
+  data_files:
+  - path: dev/khm_Khmr.jsonl
+    split: dev
+  - path: devtest/khm_Khmr.jsonl
+    split: devtest
+- config_name: kik_Latn
+  data_files:
+  - path: dev/kik_Latn.jsonl
+    split: dev
+  - path: devtest/kik_Latn.jsonl
+    split: devtest
+- config_name: kin_Latn
+  data_files:
+  - path: dev/kin_Latn.jsonl
+    split: dev
+  - path: devtest/kin_Latn.jsonl
+    split: devtest
+- config_name: kir_Cyrl
+  data_files:
+  - path: dev/kir_Cyrl.jsonl
+    split: dev
+  - path: devtest/kir_Cyrl.jsonl
+    split: devtest
+- config_name: kjh_Cyrl
+  data_files:
+  - path: dev/kjh_Cyrl.jsonl
+    split: dev
+  - path: devtest/kjh_Cyrl.jsonl
+    split: devtest
+- config_name: kmb_Latn
+  data_files:
+  - path: dev/kmb_Latn.jsonl
+    split: dev
+  - path: devtest/kmb_Latn.jsonl
+    split: devtest
+- config_name: kmr_Latn
+  data_files:
+  - path: dev/kmr_Latn.jsonl
+    split: dev
+  - path: devtest/kmr_Latn.jsonl
+    split: devtest
+- config_name: knc_Arab
+  data_files:
+  - path: dev/knc_Arab.jsonl
+    split: dev
+  - path: devtest/knc_Arab.jsonl
+    split: devtest
+- config_name: knc_Latn
+  data_files:
+  - path: dev/knc_Latn.jsonl
+    split: dev
+  - path: devtest/knc_Latn.jsonl
+    split: devtest
+- config_name: kor_Hang
+  data_files:
+  - path: dev/kor_Hang.jsonl
+    split: dev
+  - path: devtest/kor_Hang.jsonl
+    split: devtest
+- config_name: ktu_Latn
+  data_files:
+  - path: dev/ktu_Latn.jsonl
+    split: dev
+  - path: devtest/ktu_Latn.jsonl
+    split: devtest
+- config_name: lao_Laoo
+  data_files:
+  - path: dev/lao_Laoo.jsonl
+    split: dev
+  - path: devtest/lao_Laoo.jsonl
+    split: devtest
+- config_name: lij_Latn
+  data_files:
+  - path: dev/lij_Latn.jsonl
+    split: dev
+  - path: devtest/lij_Latn.jsonl
+    split: devtest
+- config_name: lim_Latn
+  data_files:
+  - path: dev/lim_Latn.jsonl
+    split: dev
+  - path: devtest/lim_Latn.jsonl
+    split: devtest
+- config_name: lin_Latn
+  data_files:
+  - path: dev/lin_Latn.jsonl
+    split: dev
+  - path: devtest/lin_Latn.jsonl
+    split: devtest
+- config_name: lit_Latn
+  data_files:
+  - path: dev/lit_Latn.jsonl
+    split: dev
+  - path: devtest/lit_Latn.jsonl
+    split: devtest
+- config_name: lld_Latn
+  data_files:
+  - path: dev/lld_Latn.jsonl
+    split: dev
+  - path: devtest/lld_Latn.jsonl
+    split: devtest
+- config_name: lld_Latn_gard1241
+  data_files:
+  - path: dev/lld_Latn_gard1241.jsonl
+    split: dev
+- config_name: lmo_Latn
+  data_files:
+  - path: dev/lmo_Latn.jsonl
+    split: dev
+  - path: devtest/lmo_Latn.jsonl
+    split: devtest
+- config_name: ltg_Latn
+  data_files:
+  - path: dev/ltg_Latn.jsonl
+    split: dev
+  - path: devtest/ltg_Latn.jsonl
+    split: devtest
+- config_name: ltz_Latn
+  data_files:
+  - path: dev/ltz_Latn.jsonl
+    split: dev
+  - path: devtest/ltz_Latn.jsonl
+    split: devtest
+- config_name: lua_Latn
+  data_files:
+  - path: dev/lua_Latn.jsonl
+    split: dev
+  - path: devtest/lua_Latn.jsonl
+    split: devtest
+- config_name: lug_Latn
+  data_files:
+  - path: dev/lug_Latn.jsonl
+    split: dev
+  - path: devtest/lug_Latn.jsonl
+    split: devtest
+- config_name: luo_Latn
+  data_files:
+  - path: dev/luo_Latn.jsonl
+    split: dev
+  - path: devtest/luo_Latn.jsonl
+    split: devtest
+- config_name: lus_Latn
+  data_files:
+  - path: dev/lus_Latn.jsonl
+    split: dev
+  - path: devtest/lus_Latn.jsonl
+    split: devtest
+- config_name: lvs_Latn
+  data_files:
+  - path: dev/lvs_Latn.jsonl
+    split: dev
+  - path: devtest/lvs_Latn.jsonl
+    split: devtest
+- config_name: mag_Deva
+  data_files:
+  - path: dev/mag_Deva.jsonl
+    split: dev
+  - path: devtest/mag_Deva.jsonl
+    split: devtest
+- config_name: mai_Deva
+  data_files:
+  - path: dev/mai_Deva.jsonl
+    split: dev
+  - path: devtest/mai_Deva.jsonl
+    split: devtest
+- config_name: mal_Mlym
+  data_files:
+  - path: dev/mal_Mlym.jsonl
+    split: dev
+  - path: devtest/mal_Mlym.jsonl
+    split: devtest
+- config_name: mar_Deva
+  data_files:
+  - path: dev/mar_Deva.jsonl
+    split: dev
+  - path: devtest/mar_Deva.jsonl
+    split: devtest
+- config_name: mfe_Latn
+  data_files:
+  - path: dev/mfe_Latn.jsonl
+    split: dev
+  - path: devtest/mfe_Latn.jsonl
+    split: devtest
+- config_name: mhr_Cyrl
+  data_files:
+  - path: dev/mhr_Cyrl.jsonl
+    split: dev
+  - path: devtest/mhr_Cyrl.jsonl
+    split: devtest
+- config_name: min_Arab
+  data_files:
+  - path: dev/min_Arab.jsonl
+    split: dev
+  - path: devtest/min_Arab.jsonl
+    split: devtest
+- config_name: min_Latn
+  data_files:
+  - path: dev/min_Latn.jsonl
+    split: dev
+  - path: devtest/min_Latn.jsonl
+    split: devtest
+- config_name: mkd_Cyrl
+  data_files:
+  - path: dev/mkd_Cyrl.jsonl
+    split: dev
+  - path: devtest/mkd_Cyrl.jsonl
+    split: devtest
+- config_name: mlt_Latn
+  data_files:
+  - path: dev/mlt_Latn.jsonl
+    split: dev
+  - path: devtest/mlt_Latn.jsonl
+    split: devtest
+- config_name: mni_Beng
+  data_files:
+  - path: dev/mni_Beng.jsonl
+    split: dev
+  - path: devtest/mni_Beng.jsonl
+    split: devtest
+- config_name: mni_Mtei
+  data_files:
+  - path: dev/mni_Mtei.jsonl
+    split: dev
+- config_name: mos_Latn
+  data_files:
+  - path: dev/mos_Latn.jsonl
+    split: dev
+  - path: devtest/mos_Latn.jsonl
+    split: devtest
+- config_name: mri_Latn
+  data_files:
+  - path: dev/mri_Latn.jsonl
+    split: dev
+  - path: devtest/mri_Latn.jsonl
+    split: devtest
+- config_name: mya_Mymr
+  data_files:
+  - path: dev/mya_Mymr.jsonl
+    split: dev
+  - path: devtest/mya_Mymr.jsonl
+    split: devtest
+- config_name: myv_Cyrl
+  data_files:
+  - path: dev/myv_Cyrl.jsonl
+    split: dev
+  - path: devtest/myv_Cyrl.jsonl
+    split: devtest
+- config_name: nld_Latn
+  data_files:
+  - path: dev/nld_Latn.jsonl
+    split: dev
+  - path: devtest/nld_Latn.jsonl
+    split: devtest
+- config_name: nno_Latn
+  data_files:
+  - path: dev/nno_Latn.jsonl
+    split: dev
+  - path: devtest/nno_Latn.jsonl
+    split: devtest
+- config_name: nob_Latn
+  data_files:
+  - path: dev/nob_Latn.jsonl
+    split: dev
+  - path: devtest/nob_Latn.jsonl
+    split: devtest
+- config_name: nob_Latn_radical
+  data_files:
+  - path: dev/nob_Latn_radical.jsonl
+    split: dev
+  - path: devtest/nob_Latn_radical.jsonl
+    split: devtest
+- config_name: npi_Deva
+  data_files:
+  - path: dev/npi_Deva.jsonl
+    split: dev
+  - path: devtest/npi_Deva.jsonl
+    split: devtest
+- config_name: nqo_Nkoo
+  data_files:
+  - path: dev/nqo_Nkoo.jsonl
+    split: dev
+  - path: devtest/nqo_Nkoo.jsonl
+    split: devtest
+- config_name: nso_Latn
+  data_files:
+  - path: dev/nso_Latn.jsonl
+    split: dev
+  - path: devtest/nso_Latn.jsonl
+    split: devtest
+- config_name: nus_Latn
+  data_files:
+  - path: dev/nus_Latn.jsonl
+    split: dev
+  - path: devtest/nus_Latn.jsonl
+    split: devtest
+- config_name: nya_Latn
+  data_files:
+  - path: dev/nya_Latn.jsonl
+    split: dev
+  - path: devtest/nya_Latn.jsonl
+    split: devtest
+- config_name: oci_Latn
+  data_files:
+  - path: dev/oci_Latn.jsonl
+    split: dev
+  - path: devtest/oci_Latn.jsonl
+    split: devtest
+- config_name: oci_Latn_aran1260
+  data_files:
+  - path: dev/oci_Latn_aran1260.jsonl
+    split: dev
+  - path: devtest/oci_Latn_aran1260.jsonl
+    split: devtest
+- config_name: ory_Orya
+  data_files:
+  - path: dev/ory_Orya.jsonl
+    split: dev
+  - path: devtest/ory_Orya.jsonl
+    split: devtest
+- config_name: pag_Latn
+  data_files:
+  - path: dev/pag_Latn.jsonl
+    split: dev
+  - path: devtest/pag_Latn.jsonl
+    split: devtest
+- config_name: pan_Guru
+  data_files:
+  - path: dev/pan_Guru.jsonl
+    split: dev
+  - path: devtest/pan_Guru.jsonl
+    split: devtest
+- config_name: pap_Latn
+  data_files:
+  - path: dev/pap_Latn.jsonl
+    split: dev
+  - path: devtest/pap_Latn.jsonl
+    split: devtest
+- config_name: pbt_Arab
+  data_files:
+  - path: dev/pbt_Arab.jsonl
+    split: dev
+  - path: devtest/pbt_Arab.jsonl
+    split: devtest
+- config_name: pes_Arab
+  data_files:
+  - path: dev/pes_Arab.jsonl
+    split: dev
+  - path: devtest/pes_Arab.jsonl
+    split: devtest
+- config_name: plt_Latn
+  data_files:
+  - path: dev/plt_Latn.jsonl
+    split: dev
+  - path: devtest/plt_Latn.jsonl
+    split: devtest
+- config_name: pol_Latn
+  data_files:
+  - path: dev/pol_Latn.jsonl
+    split: dev
+  - path: devtest/pol_Latn.jsonl
+    split: devtest
+- config_name: por_Latn
+  data_files:
+  - path: dev/por_Latn.jsonl
+    split: dev
+  - path: devtest/por_Latn.jsonl
+    split: devtest
+- config_name: prs_Arab
+  data_files:
+  - path: dev/prs_Arab.jsonl
+    split: dev
+  - path: devtest/prs_Arab.jsonl
+    split: devtest
+- config_name: quy_Latn
+  data_files:
+  - path: dev/quy_Latn.jsonl
+    split: dev
+  - path: devtest/quy_Latn.jsonl
+    split: devtest
+- config_name: ron_Latn
+  data_files:
+  - path: dev/ron_Latn.jsonl
+    split: dev
+  - path: devtest/ron_Latn.jsonl
+    split: devtest
+- config_name: run_Latn
+  data_files:
+  - path: dev/run_Latn.jsonl
+    split: dev
+  - path: devtest/run_Latn.jsonl
+    split: devtest
+- config_name: rus_Cyrl
+  data_files:
+  - path: dev/rus_Cyrl.jsonl
+    split: dev
+  - path: devtest/rus_Cyrl.jsonl
+    split: devtest
+- config_name: sag_Latn
+  data_files:
+  - path: dev/sag_Latn.jsonl
+    split: dev
+  - path: devtest/sag_Latn.jsonl
+    split: devtest
+- config_name: san_Deva
+  data_files:
+  - path: dev/san_Deva.jsonl
+    split: dev
+  - path: devtest/san_Deva.jsonl
+    split: devtest
+- config_name: sat_Olck
+  data_files:
+  - path: dev/sat_Olck.jsonl
+    split: dev
+  - path: devtest/sat_Olck.jsonl
+    split: devtest
+- config_name: scn_Latn
+  data_files:
+  - path: dev/scn_Latn.jsonl
+    split: dev
+  - path: devtest/scn_Latn.jsonl
+    split: devtest
+- config_name: shn_Mymr
+  data_files:
+  - path: dev/shn_Mymr.jsonl
+    split: dev
+  - path: devtest/shn_Mymr.jsonl
+    split: devtest
+- config_name: sin_Sinh
+  data_files:
+  - path: dev/sin_Sinh.jsonl
+    split: dev
+  - path: devtest/sin_Sinh.jsonl
+    split: devtest
+- config_name: slk_Latn
+  data_files:
+  - path: dev/slk_Latn.jsonl
+    split: dev
+  - path: devtest/slk_Latn.jsonl
+    split: devtest
+- config_name: slv_Latn
+  data_files:
+  - path: dev/slv_Latn.jsonl
+    split: dev
+  - path: devtest/slv_Latn.jsonl
+    split: devtest
+- config_name: smo_Latn
+  data_files:
+  - path: dev/smo_Latn.jsonl
+    split: dev
+  - path: devtest/smo_Latn.jsonl
+    split: devtest
+- config_name: sna_Latn
+  data_files:
+  - path: dev/sna_Latn.jsonl
+    split: dev
+  - path: devtest/sna_Latn.jsonl
+    split: devtest
+- config_name: snd_Arab
+  data_files:
+  - path: dev/snd_Arab.jsonl
+    split: dev
+  - path: devtest/snd_Arab.jsonl
+    split: devtest
+- config_name: snd_Deva
+  data_files:
+  - path: dev/snd_Deva.jsonl
+    split: dev
+- config_name: som_Latn
+  data_files:
+  - path: dev/som_Latn.jsonl
+    split: dev
+  - path: devtest/som_Latn.jsonl
+    split: devtest
+- config_name: sot_Latn
+  data_files:
+  - path: dev/sot_Latn.jsonl
+    split: dev
+  - path: devtest/sot_Latn.jsonl
+    split: devtest
+- config_name: spa_Latn
+  data_files:
+  - path: dev/spa_Latn.jsonl
+    split: dev
+  - path: devtest/spa_Latn.jsonl
+    split: devtest
+- config_name: srd_Latn
+  data_files:
+  - path: dev/srd_Latn.jsonl
+    split: dev
+  - path: devtest/srd_Latn.jsonl
+    split: devtest
+- config_name: srp_Cyrl
+  data_files:
+  - path: dev/srp_Cyrl.jsonl
+    split: dev
+  - path: devtest/srp_Cyrl.jsonl
+    split: devtest
+- config_name: ssw_Latn
+  data_files:
+  - path: dev/ssw_Latn.jsonl
+    split: dev
+  - path: devtest/ssw_Latn.jsonl
+    split: devtest
+- config_name: sun_Latn
+  data_files:
+  - path: dev/sun_Latn.jsonl
+    split: dev
+  - path: devtest/sun_Latn.jsonl
+    split: devtest
+- config_name: swe_Latn
+  data_files:
+  - path: dev/swe_Latn.jsonl
+    split: dev
+  - path: devtest/swe_Latn.jsonl
+    split: devtest
+- config_name: swh_Latn
+  data_files:
+  - path: dev/swh_Latn.jsonl
+    split: dev
+  - path: devtest/swh_Latn.jsonl
+    split: devtest
+- config_name: szl_Latn
+  data_files:
+  - path: dev/szl_Latn.jsonl
+    split: dev
+  - path: devtest/szl_Latn.jsonl
+    split: devtest
+- config_name: tam_Taml
+  data_files:
+  - path: dev/tam_Taml.jsonl
+    split: dev
+  - path: devtest/tam_Taml.jsonl
+    split: devtest
+- config_name: taq_Latn
+  data_files:
+  - path: dev/taq_Latn.jsonl
+    split: dev
+  - path: devtest/taq_Latn.jsonl
+    split: devtest
+- config_name: taq_Tfng
+  data_files:
+  - path: dev/taq_Tfng.jsonl
+    split: dev
+  - path: devtest/taq_Tfng.jsonl
+    split: devtest
+- config_name: tat_Cyrl
+  data_files:
+  - path: dev/tat_Cyrl.jsonl
+    split: dev
+  - path: devtest/tat_Cyrl.jsonl
+    split: devtest
+- config_name: tel_Telu
+  data_files:
+  - path: dev/tel_Telu.jsonl
+    split: dev
+  - path: devtest/tel_Telu.jsonl
+    split: devtest
+- config_name: tgk_Cyrl
+  data_files:
+  - path: dev/tgk_Cyrl.jsonl
+    split: dev
+  - path: devtest/tgk_Cyrl.jsonl
+    split: devtest
+- config_name: tha_Thai
+  data_files:
+  - path: dev/tha_Thai.jsonl
+    split: dev
+  - path: devtest/tha_Thai.jsonl
+    split: devtest
+- config_name: tir_Ethi
+  data_files:
+  - path: dev/tir_Ethi.jsonl
+    split: dev
+  - path: devtest/tir_Ethi.jsonl
+    split: devtest
+- config_name: tpi_Latn
+  data_files:
+  - path: dev/tpi_Latn.jsonl
+    split: dev
+  - path: devtest/tpi_Latn.jsonl
+    split: devtest
+- config_name: tsn_Latn
+  data_files:
+  - path: dev/tsn_Latn.jsonl
+    split: dev
+  - path: devtest/tsn_Latn.jsonl
+    split: devtest
+- config_name: tso_Latn
+  data_files:
+  - path: dev/tso_Latn.jsonl
+    split: dev
+  - path: devtest/tso_Latn.jsonl
+    split: devtest
+- config_name: tuk_Latn
+  data_files:
+  - path: dev/tuk_Latn.jsonl
+    split: dev
+  - path: devtest/tuk_Latn.jsonl
+    split: devtest
+- config_name: tum_Latn
+  data_files:
+  - path: dev/tum_Latn.jsonl
+    split: dev
+  - path: devtest/tum_Latn.jsonl
+    split: devtest
+- config_name: tur_Latn
+  data_files:
+  - path: dev/tur_Latn.jsonl
+    split: dev
+  - path: devtest/tur_Latn.jsonl
+    split: devtest
+- config_name: twi_Latn_akua1239
+  data_files:
+  - path: dev/twi_Latn_akua1239.jsonl
+    split: dev
+  - path: devtest/twi_Latn_akua1239.jsonl
+    split: devtest
+- config_name: twi_Latn_asan1239
+  data_files:
+  - path: dev/twi_Latn_asan1239.jsonl
+    split: dev
+  - path: devtest/twi_Latn_asan1239.jsonl
+    split: devtest
+- config_name: tyv_Cyrl
+  data_files:
+  - path: dev/tyv_Cyrl.jsonl
+    split: dev
+  - path: devtest/tyv_Cyrl.jsonl
+    split: devtest
+- config_name: udm_Cyrl
+  data_files:
+  - path: dev/udm_Cyrl.jsonl
+    split: dev
+- config_name: uig_Arab
+  data_files:
+  - path: dev/uig_Arab.jsonl
+    split: dev
+  - path: devtest/uig_Arab.jsonl
+    split: devtest
+- config_name: ukr_Cyrl
+  data_files:
+  - path: dev/ukr_Cyrl.jsonl
+    split: dev
+  - path: devtest/ukr_Cyrl.jsonl
+    split: devtest
+- config_name: umb_Latn
+  data_files:
+  - path: dev/umb_Latn.jsonl
+    split: dev
+  - path: devtest/umb_Latn.jsonl
+    split: devtest
+- config_name: urd_Arab
+  data_files:
+  - path: dev/urd_Arab.jsonl
+    split: dev
+  - path: devtest/urd_Arab.jsonl
+    split: devtest
+- config_name: uzn_Latn
+  data_files:
+  - path: dev/uzn_Latn.jsonl
+    split: dev
+  - path: devtest/uzn_Latn.jsonl
+    split: devtest
+- config_name: uzs_Arab
+  data_files:
+  - path: dev/uzs_Arab.jsonl
+    split: dev
+- config_name: vec_Latn
+  data_files:
+  - path: dev/vec_Latn.jsonl
+    split: dev
+  - path: devtest/vec_Latn.jsonl
+    split: devtest
+- config_name: vie_Latn
+  data_files:
+  - path: dev/vie_Latn.jsonl
+    split: dev
+  - path: devtest/vie_Latn.jsonl
+    split: devtest
+- config_name: vmw_Latn
+  data_files:
+  - path: dev/vmw_Latn.jsonl
+    split: dev
+  - path: devtest/vmw_Latn.jsonl
+    split: devtest
+- config_name: war_Latn
+  data_files:
+  - path: dev/war_Latn.jsonl
+    split: dev
+  - path: devtest/war_Latn.jsonl
+    split: devtest
+- config_name: wol_Latn
+  data_files:
+  - path: dev/wol_Latn.jsonl
+    split: dev
+  - path: devtest/wol_Latn.jsonl
+    split: devtest
+- config_name: wuu_Hans
+  data_files:
+  - path: dev/wuu_Hans.jsonl
+    split: dev
+- config_name: xho_Latn
+  data_files:
+  - path: dev/xho_Latn.jsonl
+    split: dev
+  - path: devtest/xho_Latn.jsonl
+    split: devtest
+- config_name: ydd_Hebr
+  data_files:
+  - path: dev/ydd_Hebr.jsonl
+    split: dev
+  - path: devtest/ydd_Hebr.jsonl
+    split: devtest
+- config_name: yor_Latn
+  data_files:
+  - path: dev/yor_Latn.jsonl
+    split: dev
+  - path: devtest/yor_Latn.jsonl
+    split: devtest
+- config_name: yue_Hant
+  data_files:
+  - path: dev/yue_Hant.jsonl
+    split: dev
+  - path: devtest/yue_Hant.jsonl
+    split: devtest
+- config_name: zgh_Tfng
+  data_files:
+  - path: dev/zgh_Tfng.jsonl
+    split: dev
+  - path: devtest/zgh_Tfng.jsonl
+    split: devtest
+- config_name: zsm_Latn
+  data_files:
+  - path: dev/zsm_Latn.jsonl
+    split: dev
+  - path: devtest/zsm_Latn.jsonl
+    split: devtest
+- config_name: zul_Latn
+  data_files:
+  - path: dev/zul_Latn.jsonl
+    split: dev
+  - path: devtest/zul_Latn.jsonl
+    split: devtest
+extra_gated_heading: "Protecting the integrity of FLORES+ for evaluation"
+extra_gated_fields:
+  I agree not to re-host FLORES+ in places where it could be picked up by web crawlers: checkbox
+  If I evaluate using FLORES+, I will ensure that its contents are not in the training data: checkbox
+---
+# Dataset Card for FLORES+
+
+FLORES+ is an evaluation benchmark dataset for multilingual machine translation.
+
+## Dataset Details
+
+### Dataset Description
+
+FLORES+ is a multilingual machine translation benchmark released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). This dataset was originally released by FAIR researchers at Meta under the name FLORES. Further information about these initial releases can be found in [Dataset Sources](#dataset-sources) below. The data is now being managed by OLDI, [the Open Language Data Initiative](https://oldi.org/). The + has been added to the name to disambiguate between the original datasets and this new actively developed version.
+
+The data consists of translations primarily from English into over 200 language varieties. The original English sentences were sampled in equal amounts from [Wikinews](https://en.wikinews.org/) (an international news source), [Wikijunior](https://en.wikibooks.org/wiki/Wikijunior) (a collection of age-appropriate non-fiction books), and [Wikivoyage](https://en.wikivoyage.org/) (a travel guide).
+
+For each language, the dataset has 997 sentences for the dev split and 1012 sentences for the devtest split. The separate blind test set, originally developed by Meta, is not managed by OLDI and not part of this repository.
+
+- **Curated by:** [The Open Language Data Initiative](https://oldi.org/)
+- **Languages:** Currently 229 language varieties, see the full list in the table [below](#language-coverage).
+- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+
+The current version of the dataset is `4.5`. For the full list of versions, see [CHANGELOG.md](CHANGELOG.md).
+
+### Dataset Sources
+
+FLORES+ is based on FLORES-200, described in the following paper:
+
+```bibtex
+@article{nllb-24,
+    author="{NLLB Team} and Costa-juss{\`a}, Marta R. and Cross, James and {\c{C}}elebi, Onur and Elbayad, Maha and Heafield, Kenneth and Heffernan, Kevin and Kalbassi, Elahe and Lam, Janice and Licht, Daniel and Maillard, Jean and Sun, Anna and Wang, Skyler and Wenzek, Guillaume and Youngblood, Al and Akula, Bapi and Barrault, Loic and Gonzalez, Gabriel Mejia and Hansanti, Prangthip and Hoffman, John and Jarrett, Semarley and Sadagopan, Kaushik Ram and Rowe, Dirk and Spruit, Shannon and Tran, Chau and Andrews, Pierre and Ayan, Necip Fazil and Bhosale, Shruti and Edunov, Sergey and Fan, Angela and Gao, Cynthia and Goswami, Vedanuj and Guzm{\'a}n, Francisco and Koehn, Philipp and Mourachko, Alexandre and Ropers, Christophe and Saleem, Safiyyah and Schwenk, Holger and Wang, Jeff",
+    title="Scaling neural machine translation to 200 languages",
+    journal="Nature",
+    year="2024",
+    volume="630",
+    number="8018",
+    pages="841--846",
+    issn="1476-4687",
+    doi="10.1038/s41586-024-07335-x",
+    url="https://doi.org/10.1038/s41586-024-07335-x"
+}
+```
+
+Other authors have since contributed to the dataset. If you use this dataset in your work, please cite the relevant papers listed in [bibliography.bib](bibliography.bib).
+
+## Uses
+
+FLORES+ is intended to be used to evaluate multilingual NLP applications like machine translation. It should not be used as training data.
+
+To load the dataset using Python code, please follow the steps below:
+1. Install the [datasets](https://huggingface.co/docs/datasets) package: `pip install datasets`.
+2. Log in on the current website (Huggingface.co).
+3. Accept the terms of use of the FLORES+ dataset on this page.
+4. Get your Huggingface access token by clicking on your user icon in the top left corner, choosing "Access Tokens", and creating a token or copying an existing one.
+5. Make sure you are logged into Hugginface hub in your system by running in Python:
+```Python
+import huggingface_hub
+huggingface_hub.login() # now you will be prompted to enter your token; enter it.
+```
+6. After having logged in, you can access the full FLORES+ dataset or a part of it as follows:
+```Python
+from datasets import load_dataset
+# load dev and devtests splits for all languages
+ds_full = load_dataset("openlanguagedata/flores_plus")
+# load only the dev split for all languages
+ds_dev = load_dataset("openlanguagedata/flores_plus", split="dev")
+# load dev and devtests splits for French only
+ds_fra = load_dataset("openlanguagedata/flores_plus", "fra_Latn")
+# load dev split for French only
+ds_fra_dev = load_dataset("openlanguagedata/flores_plus", "fra_Latn", split="dev")
+```
+7. You can convert the dataset to a [Pandas](https://pandas.pydata.org) DataFrame, if this formar is familiar to you (e.g. `df = ds_fra_dev.to_pandas()`).
+8. If you want, you can save the file to disk, e.g. to the csv format (`df.to_csv("flores_plus_fra_dev.csv")`) or [other formats](https://pandas.pydata.org/docs/user_guide/io.html) supported by Pandas.
+But please do not redistribute this file publicly, unless you protect it from automatic scrapping!
+
+
+## Dataset Structure
+
+Each instance in the dataset has the structure as the following example:
+
+```json
+{
+  "id": "26",
+  "iso_639_3": "gla",
+  "iso_15924": "Latn",
+  "glottocode": "scot1245",
+  "variant": "",
+  "text": "Thuirt an aithris cuideachd gum biodh aig an Tuirc cuideachd faire luchd-sabaid ISIS a chaidh an glacadh a ghabhail os làimh is nàiseanan na Roinn-Eòrpa air an diùltadh o ath-dhùthachadh.",
+  "url": "https://en.wikinews.org/wiki/US_President_Trump_announces_troop_withdrawal_from_Syria",
+  "domain": "wikinews",
+  "topic": "politics",
+  "has_image": "yes",
+  "has_hyperlink": "yes",
+  "last_updated": "1.0",
+  "split": "devtest"
+}
+```
+
+Each languoid is uniquely identified by a combination of 4 values: `iso_639_3`, `iso_15924`, `glottocode`, and `variant` — roughly speaking, a combination of language, dialect, and orthography.
+
+Within each languoid, the values of `id` and `split` uniquely identify a sentence and are aligned across all languoids (i.e. joining any pair of langioids by `id` and `split` would result in a parallel dataset).
+
+### Data Fields
+
+- `id`: ID number for each line of data. Lines with the same ID in the same split are translations of each other.
+- `text`: A line of text in the indicated language.
+- `iso_639_3`: The ISO 639-3 code indicating the language variety.
+- `iso_15924`: The ISO 15924 indicating the writing script.
+- `glottocode`: The [Glottocode](https://glottolog.org/glottolog/language) corresponding to the language variety.
+- `variant`: An additional tag for the language variety (usually an empty string; currently used only for Radical Bokmål)
+- `url`: The URL for the English article from which the text was extracted.
+- `domain`: The domain of the text.
+- `topic`: The topic of the text.
+- `has_image`: Whether the original article contains an image.
+- `has_hyperlink`: Whether the text contains a hyperlink.
+- `last_updated`: The FLORES+ version where the given row was last updated.
+
+## Dataset Creation
+
+See the [NLLB Nature paper](https://doi.org/10.1038/s41586-024-07335-x) and the longer [NLLB technical paper](https://arxiv.org/pdf/2207.04672#page=18.71) for more details.
+
+### Additional Dataset Cards
+
+The datasets for some language varieties have individual datacards describing their creation. These can be found in the [dataset_cards](dataset_cards/) directory.
+
+## Contact
+
+For more information about the FLORES+ dataset, please see [oldi.org](https://oldi.org/).
+
+## Contributing
+
+Fixes and new language contributions are most welcome.
+
+By contributing to this project you agree to the [Developer Certificate of
+Origin (DCO)](DCO). This document was created by the Linux Kernel community and is a
+simple statement that you, as a contributor, have the legal right to make the
+contribution.
+
+In order to show your agreement with the DCO you should include at the end of commit message,
+the following line: `Signed-off-by: John Doe <john.doe@example.com>`, using your real name.
+
+This can be done easily using the `-s` flag on the `git commit`.
+
+Please see the [Contribution guidelines](https://oldi.org/guidelines) for further information.
+
+### How to add a pull request
+
+1. Go to https://huggingface.co/datasets/openlanguagedata/flores_plus/discussions, press "New pull request".
+2. In the popup window, enter a branch name and press "Create branch".
+3. On your computer, do `git clone https://huggingface.co/datasets/openlanguagedata/flores_plus`.
+4. Checkout to your newly created branch (e.g. `cd flores_plus && git fetch origin refs/pr/4:pr/4 && git checkout pr/4`).
+5. Check that you are logged in to the HF CLI tool (`hf auth whoami`). If not, please log into it (`hf auth login` and enter your token).
+6. Modify a file (for adding new languages, see the instructions below) and add the changes to git (e.g. `git add dev/rus_Cyrl.jsonl`).
+7. Commit with an -s flag (e.g. `git commit -s -m "fix a few typos in the Russian dev set"`).
+8. Push (e.g. `git push origin pr/4:refs/pr/4`) — important to make sure to push to the same "refs" branch!
+9. Go to the pull request page and see if it reflects your changes.
+10. When your pull request is ready, press the "Publish" button in its web interface.
+
+If you find this difficult, please contact us by email `info@oldi.org` or in our [Discord group](https://discord.gg/jJmrw3E77u)!
+
+### Testing your changes
+
+After contributing new translations or modifying existing ones, you can check that the data format is OK.
+Assuming that you have the Python packages `pytest` and `dataset` installed, you can type
+```
+pytest
+```
+in your console (in the `flores_plus` directory), and the tests will run.
+If any of them fails, please inspect the translations, following the hints in the test output.
+
+## Changelog
+
+See [CHANGELOG.md](CHANGELOG.md) for information about the latest changes.
+
+## Language Coverage
+
+| Code  | Script | Glottocode | Name                                |                           Notes                            |
+|-------|--------|------------|-------------------------------------|------------------------------------------------------------|
+| `ace` | `Arab` | `achi1257` | Acehnese (Jawi script)              |                                                            |
+| `ace` | `Latn` | `achi1257` | Acehnese (Latin script)             |                                                            |
+| `acm` | `Arab` | `meso1252` | Mesopotamian Arabic                 |                                                            |
+| `acq` | `Arab` | `taiz1242` | Taʽizzi-Adeni Arabic                |                                                            |
+| `aeb` | `Arab` | `tuni1259` | Tunisian Arabic                     |                                                            |
+| `afr` | `Latn` | `afri1274` | Afrikaans                           |                                                            |
+| `als` | `Latn` | `tosk1239` | Albanian (Tosk)                     |                                                            |
+| `amh` | `Ethi` | `amha1245` | Amharic                             |                                                            |
+| `apc` | `Arab` | `nort3139` | Levantine Arabic (North)            |                                                            |
+| `apc` | `Arab` | `sout3123` | Levantine Arabic (South)            |                                                            |
+| `arb` | `Arab` | `stan1318` | Modern Standard Arabic              |                                                            |
+| `arb` | `Latn` | `stan1318` | Modern Standard Arabic (Romanized)  |                                                            |
+| `arg` | `Latn` | `arag1245` | [Aragonese](dataset_cards/arg_Latn.md)          |                                                |
+| `ars` | `Arab` | `najd1235` | Najdi Arabic                        |                                                            |
+| `ary` | `Arab` | `moro1292` | Moroccan Arabic                     |                                                            |
+| `arz` | `Arab` | `egyp1253` | Egyptian Arabic                     |                                                            |
+| `asm` | `Beng` | `assa1263` | Assamese                            |                                                            |
+| `ast` | `Latn` | `astu1245` | [Asturian](dataset_cards/ast_Latn.md)           |                                                |
+| `awa` | `Deva` | `awad1243` | Awadhi                              |                                                            |
+| `ayr` | `Latn` | `cent2142` | Central Aymara                      |                                                            |
+| `azb` | `Arab` | `sout2697` | South Azerbaijani                   |                                                            |
+| `azj` | `Latn` | `nort2697` | North Azerbaijani                   |                                                            |
+| `bak` | `Cyrl` | `bash1264` | Bashkir                             |                                                            |
+| `bam` | `Latn` | `bamb1269` | Bambara                             |                                                            |
+| `ban` | `Latn` | `bali1278` | Balinese                            |                                                            |
+| `bel` | `Cyrl` | `bela1254` | Belarusian                          |                                                            |
+| `bem` | `Latn` | `bemb1257` | Bemba                               |                                                            |
+| `ben` | `Beng` | `beng1280` | Bengali                             |                                                            |
+| `bho` | `Deva` | `bhoj1244` | Bhojpuri                            |                                                            |
+| `bjn` | `Arab` | `banj1239` | Banjar (Jawi script)                |                                                            |
+| `bjn` | `Latn` | `banj1239` | Banjar (Latin script)               |                                                            |
+| `bod` | `Tibt` | `utsa1239` | Lhasa Tibetan                       |                                                            |
+| `bos` | `Latn` | `bosn1245` | Bosnian                             |                                                            |
+| `brx` | `Deva` | `bodo1269` | Bodo                                |                         `dev` only                         |
+| `bug` | `Latn` | `bugi1244` | Buginese                            |                                                            |
+| `bul` | `Cyrl` | `bulg1262` | Bulgarian                           |                                                            |
+| `cat` | `Latn` | `stan1289` | Catalan                             |                                                            |
+| `cat` | `Latn` | `vale1252` | [Valencian](dataset_cards/cat_Latn_vale1252.md) |          `devtest` only                        |
+| `ceb` | `Latn` | `cebu1242` | Cebuano                             |                                                            |
+| `ces` | `Latn` | `czec1258` | Czech                               |                                                            |
+| `chv` | `Cyrl` | `chuv1255` | [Chuvash](dataset_cards/chv_Cyrl.md)|                                                            |
+| `cjk` | `Latn` | `chok1245` | Chokwe                              |                                                            |
+| `ckb` | `Arab` | `cent1972` | Central Kurdish                     |                                                            |
+| `cmn` | `Hans` | `beij1234` | [Mandarin Chinese (Standard Beijing)](dataset_cards/cmn_Hans.md) |                               |
+| `cmn` | `Hant` | `taib1240` | [Mandarin Chinese (Taiwanese)](dataset_cards/cmn_Hant.md)       |                                |
+| `crh` | `Latn` | `crim1257` | Crimean Tatar                       |                                                            |
+| `cym` | `Latn` | `wels1247` | Welsh                               |                                                            |
+| `dan` | `Latn` | `dani1285` | Danish                              |                                                            |
+| `dar` | `Cyrl` | `darg1241` | [Dargwa](dataset_cards/dar_Cyrl.md) |                         `dev` only                         |
+| `deu` | `Latn` | `stan1295` | German                              |                                                            |
+| `dgo` | `Deva` | `dogr1250` | Dogri                               |                         `dev` only                         |
+| `dik` | `Latn` | `sout2832` | Southwestern Dinka                  |                                                            |
+| `dyu` | `Latn` | `dyul1238` | Dyula                               |                                                            |
+| `dzo` | `Tibt` | `dzon1239` | Dzongkha                            |                                                            |
+| `ekk` | `Latn` | `esto1258` | Estonian                            |                                                            |
+| `ell` | `Grek` | `mode1248` | Greek                               |                                                            |
+| `eng` | `Latn` | `stan1293` | English                             |                                                            |
+| `epo` | `Latn` | `espe1235` | Esperanto                           |                                                            |
+| `eus` | `Latn` | `basq1248` | Basque                              |                                                            |
+| `ewe` | `Latn` | `ewee1241` | Ewe                                 |                                                            |
+| `fao` | `Latn` | `faro1244` | Faroese                             |                                                            |
+| `fij` | `Latn` | `fiji1243` | Fijian                              |                                                            |
+| `fil` | `Latn` | `fili1244` | [Filipino](dataset_cards/fil_Latn.md)           |                                                |
+| `fin` | `Latn` | `finn1318` | Finnish                             |                                                            |
+| `fon` | `Latn` | `fonn1241` | Fon                                 |                                                            |
+| `fra` | `Latn` | `stan1290` | French                              |                                                            |
+| `fur` | `Latn` | `east2271` | Friulian                            |                                                            |
+| `fuv` | `Latn` | `nige1253` | Nigerian Fulfulde                   |                                                            |
+| `gaz` | `Latn` | `west2721` | West Central Oromo                  |                                                            |
+| `gla` | `Latn` | `scot1245` | Scottish Gaelic                     |                                                            |
+| `gle` | `Latn` | `iris1253` | Irish                               |                                                            |
+| `glg` | `Latn` | `gali1258` | Galician                            |                                                            |
+| `gom` | `Deva` | `goan1235` | Goan Konkani                        |                         `dev` only                         |
+| `gug` | `Latn` | `para1311` | Paraguayan Guaraní                  |                                                            |
+| `guj` | `Gujr` | `guja1252` | Gujarati                            |                                                            |
+| `hat` | `Latn` | `hait1244` | Haitian Creole                      |                                                            |
+| `hau` | `Latn` | `haus1257` | Hausa                               |                                                            |
+| `heb` | `Hebr` | `hebr1245` | Hebrew                              |                                                            |
+| `hin` | `Deva` | `hind1269` | Hindi                               |                                                            |
+| `hne` | `Deva` | `chha1249` | Chhattisgarhi                       |                                                            |
+| `hrv` | `Latn` | `croa1245` | Croatian                            |                                                            |
+| `hun` | `Latn` | `hung1274` | Hungarian                           |                                                            |
+| `hye` | `Armn` | `nucl1235` | Armenian                            |                                                            |
+| `ibo` | `Latn` | `nucl1417` | Igbo                                |                                                            |
+| `ilo` | `Latn` | `ilok1237` | Ilocano                             |                                                            |
+| `ind` | `Latn` | `indo1316` | Indonesian                          |                                                            |
+| `isl` | `Latn` | `icel1247` | Icelandic                           |                                                            |
+| `ita` | `Latn` | `ital1282` | Italian                             |                                                            |
+| `jav` | `Latn` | `java1254` | Javanese                            |                                                            |
+| `jpn` | `Jpan` | `nucl1643` | Japanese                            |                                                            |
+| `kaa` | `Latn` | `kara1467` | [Karakalpak](dataset_cards/kaa_Latn.md)         |           `devtest` only                       |
+| `kab` | `Latn` | `kaby1243` | Kabyle                              |                                                            |
+| `kac` | `Latn` | `kach1280` | Jingpho                             |                                                            |
+| `kam` | `Latn` | `kamb1297` | Kamba                               |                                                            |
+| `kan` | `Knda` | `nucl1305` | Kannada                             |                                                            |
+| `kas` | `Arab` | `kash1277` | Kashmiri (Arabic script)            |                                                            |
+| `kas` | `Deva` | `kash1277` | Kashmiri (Devanagari script)        |                                                            |
+| `kat` | `Geor` | `nucl1302` | Georgian                            |                                                            |
+| `kaz` | `Cyrl` | `kaza1248` | Kazakh                              |                                                            |
+| `kbp` | `Latn` | `kabi1261` | Kabiyè                              |                                                            |
+| `kea` | `Latn` | `kabu1256` | Kabuverdianu                        |                                                            |
+| `khk` | `Cyrl` | `halh1238` | Halh Mongolian (Cyrillic script)    |                                                            |
+| `khk` | `Mong` | `halh1238` | [Halh Mongolian (traditional Mongolian script)](dataset_cards/khk_Mong.md)| `devtest` only     |
+| `khm` | `Khmr` | `cent1989` | Khmer (Central)                     |                                                            |
+| `kik` | `Latn` | `kiku1240` | Kikuyu                              |                                                            |
+| `kin` | `Latn` | `kiny1244` | Kinyarwanda                         |                                                            |
+| `kir` | `Cyrl` | `kirg1245` | Kyrgyz                              |                                                            |
+| `kjh` | `Cyrl` | `khak1248` | [Khakas](dataset_cards/kjh_Cyrl.md) |                                                            |
+| `kmb` | `Latn` | `kimb1241` | Kimbundu                            |                                                            |
+| `kmr` | `Latn` | `nort2641` | Northern Kurdish                    |                                                            |
+| `knc` | `Arab` | `cent2050` | Central Kanuri (Arabic script)      |                                                            |
+| `knc` | `Latn` | `cent2050` | Central Kanuri (Latin script)       |                                                            |
+| `kor` | `Hang` | `kore1280` | Korean                              |                                                            |
+| `ktu` | `Latn` | `kitu1246` | Kituba (DRC)                        |                                                            |
+| `lao` | `Laoo` | `laoo1244` | Lao                                 |                                                            |
+| `lij` | `Latn` | `geno1240` | Ligurian (Genoese)                  |                                                            |
+| `lim` | `Latn` | `limb1263` | Limburgish                          |                                                            |
+| `lin` | `Latn` | `ling1263` | Lingala                             |                                                            |
+| `lit` | `Latn` | `lith1251` | Lithuanian                          |                                                            |
+| `lld` | `Latn` | `ladi1250` | [Ladin (Val Badia)](dataset_cards/lld_Latn.md)  |                                                |
+| `lld` | `Latn` | `gard1241` | [Ladin (Gherdëina)](dataset_cards/lld_Latn_gard1241.md)  |                                       |
+| `lmo` | `Latn` | `lomb1257` | Lombard                             | [[1]](https://github.com/openlanguagedata/flores/issues/5) |
+| `ltg` | `Latn` | `east2282` | Latgalian                           |                                                            |
+| `ltz` | `Latn` | `luxe1241` | Luxembourgish                       |                                                            |
+| `lua` | `Latn` | `luba1249` | Luba-Kasai                          |                                                            |
+| `lug` | `Latn` | `gand1255` | Ganda                               |                                                            |
+| `luo` | `Latn` | `luok1236` | Luo                                 |                                                            |
+| `lus` | `Latn` | `lush1249` | Mizo                                |                                                            |
+| `lvs` | `Latn` | `stan1325` | Standard Latvian                    |                                                            |
+| `mag` | `Deva` | `maga1260` | Magahi                              |                                                            |
+| `mai` | `Deva` | `mait1250` | Maithili                            |                                                            |
+| `mal` | `Mlym` | `mala1464` | Malayalam                           |                                                            |
+| `mar` | `Deva` | `mara1378` | Marathi                             |                                                            |
+| `mfe` | `Latn` | `mori1278` | [Mauritian Creole](dataset_cards/mfe_Latn.md)   |                                                |
+| `mhr` | `Cyrl` | `gras1239` | [Meadow Mari](dataset_cards/mhr_Cyrl.md)        |                                                |
+| `min` | `Arab` | `mina1268` | Minangkabau (Jawi script)           |                                                            |
+| `min` | `Latn` | `mina1268` | Minangkabau (Latin script)          |                                                            |
+| `mkd` | `Cyrl` | `mace1250` | Macedonian                          |                                                            |
+| `mlt` | `Latn` | `malt1254` | Maltese                             |                                                            |
+| `mni` | `Beng` | `mani1292` | Meitei (Manipuri, Bengali script)   |                                                            |
+| `mni` | `Mtei` | `mani1292` | Meitei (Manipuri, Meitei script)    |                         `dev` only                         |
+| `mos` | `Latn` | `moss1236` | Mossi                               |                                                            |
+| `mri` | `Latn` | `maor1246` | Maori                               |                                                            |
+| `mya` | `Mymr` | `nucl1310` | Burmese                             |                                                            |
+| `myv` | `Cyrl` | `erzy1239` | [Erzya](dataset_cards/myv_Cyrl.md)  |                                                            |
+| `nld` | `Latn` | `dutc1256` | Dutch                               |                                                            |
+| `nno` | `Latn` | `norw1262` | Norwegian Nynorsk                   |                                                            |
+| `nob` | `Latn` | `norw1259` | [Norwegian Bokmål, moderate variety](dataset_cards/nob_Latn.md)  |                               |
+| `nob` | `Latn` | `norw1259` (with `variant=radical`) | [Norwegian Bokmål, radical variety](dataset_cards/nob_Latn_radical.md)  | |
+| `npi` | `Deva` | `nepa1254` | Nepali                              |                                                            |
+| `nqo` | `Nkoo` | `nkoa1234` | Nko                                 |                                                            |
+| `nso` | `Latn` | `pedi1238` | Northern Sotho                      |                                                            |
+| `nus` | `Latn` | `nuer1246` | Nuer                                |                                                            |
+| `nya` | `Latn` | `nyan1308` | Nyanja                              |                                                            |
+| `oci` | `Latn` | `occi1239` | Occitan                             |                                                            |
+| `oci` | `Latn` | `aran1260` | [Aranese](dataset_cards/oci_Latn_aran1260.md)   |                                                |
+| `ory` | `Orya` | `oriy1255` | Odia                                |                                                            |
+| `pag` | `Latn` | `pang1290` | Pangasinan                          |                                                            |
+| `pan` | `Guru` | `panj1256` | Eastern Panjabi                     |                                                            |
+| `pap` | `Latn` | `papi1253` | Papiamento                          |                                                            |
+| `pbt` | `Arab` | `sout2649` | Southern Pashto                     |                                                            |
+| `pes` | `Arab` | `west2369` | Western Persian                     |                                                            |
+| `plt` | `Latn` | `plat1254` | Plateau Malagasy                    |                                                            |
+| `pol` | `Latn` | `poli1260` | Polish                              |                                                            |
+| `por` | `Latn` | `braz1246` | Portuguese (Brazilian)              |                                                            |
+| `prs` | `Arab` | `dari1249` | Dari                                |                                                            |
+| `quy` | `Latn` | `ayac1239` | Ayacucho Quechua                    |                                                            |
+| `ron` | `Latn` | `roma1327` | Romanian                            |                                                            |
+| `run` | `Latn` | `rund1242` | Rundi                               |                                                            |
+| `rus` | `Cyrl` | `russ1263` | Russian                             |                                                            |
+| `sag` | `Latn` | `sang1328` | Sango                               |                                                            |
+| `san` | `Deva` | `sans1269` | Sanskrit                            |                                                            |
+| `sat` | `Olck` | `sant1410` | Santali                             |                                                            |
+| `scn` | `Latn` | `sici1248` | Sicilian                            |                                                            |
+| `shn` | `Mymr` | `shan1277` | Shan                                |                                                            |
+| `sin` | `Sinh` | `sinh1246` | Sinhala                             |                                                            |
+| `slk` | `Latn` | `slov1269` | Slovak                              |                                                            |
+| `slv` | `Latn` | `slov1268` | Slovenian                           |                                                            |
+| `smo` | `Latn` | `samo1305` | Samoan                              |                                                            |
+| `sna` | `Latn` | `shon1251` | Shona                               |                                                            |
+| `snd` | `Arab` | `sind1272` | Sindhi (Arabic script)              |                                                            |
+| `snd` | `Deva` | `sind1272` | Sindhi (Devanagari script)          |                         `dev` only                         |
+| `som` | `Latn` | `soma1255` | Somali                              |                                                            |
+| `sot` | `Latn` | `sout2807` | Southern Sotho                      |                                                            |
+| `spa` | `Latn` | `amer1254` | Spanish (Latin American)            |                                                            |
+| `srd` | `Latn` | `sard1257` | Sardinian                           | [[1]](https://github.com/openlanguagedata/flores/issues/6) |
+| `srp` | `Cyrl` | `serb1264` | Serbian                             |                                                            |
+| `ssw` | `Latn` | `swat1243` | Swati                               |                                                            |
+| `sun` | `Latn` | `sund1252` | Sundanese                           |                                                            |
+| `swe` | `Latn` | `swed1254` | Swedish                             |                                                            |
+| `swh` | `Latn` | `swah1253` | Swahili                             |                                                            |
+| `szl` | `Latn` | `sile1253` | Silesian                            |                                                            |
+| `tam` | `Taml` | `tami1289` | Tamil                               |                                                            |
+| `taq` | `Latn` | `tama1365` | Tamasheq (Latin script)             |                                                            |
+| `taq` | `Tfng` | `tama1365` | Tamasheq (Tifinagh script)          |                                                            |
+| `tat` | `Cyrl` | `tata1255` | Tatar                               |                                                            |
+| `tel` | `Telu` | `telu1262` | Telugu                              |                                                            |
+| `tgk` | `Cyrl` | `taji1245` | Tajik                               |                                                            |
+| `tha` | `Thai` | `thai1261` | Thai                                |                                                            |
+| `tir` | `Ethi` | `tigr1271` | Tigrinya                            |                                                            |
+| `tpi` | `Latn` | `tokp1240` | Tok Pisin                           |                                                            |
+| `tsn` | `Latn` | `tswa1253` | Tswana                              |                                                            |
+| `tso` | `Latn` | `tson1249` | Tsonga                              |                                                            |
+| `tuk` | `Latn` | `turk1304` | Turkmen                             |                                                            |
+| `tum` | `Latn` | `tumb1250` | Tumbuka                             |                                                            |
+| `tur` | `Latn` | `nucl1301` | Turkish                             |                                                            |
+| `twi` | `Latn` | `akua1239` | Akuapem Twi                         |                                                            |
+| `twi` | `Latn` | `asan1239` | Asante Twi                          |                                                            |
+| `tyv` | `Cyrl` | `tuvi1240` | [Tuvan](dataset_cards/tyv_Cyrl.md)  |                                                            |
+| `udm` | `Cyrl` | `udmu1245` | [Udmurt](dataset_cards/udm_Cyrl.md) |                           `dev` only                       |
+| `uig` | `Arab` | `uigh1240` | Uyghur                              |                                                            |
+| `ukr` | `Cyrl` | `ukra1253` | Ukrainian                           |                                                            |
+| `umb` | `Latn` | `umbu1257` | Umbundu                             |                                                            |
+| `urd` | `Arab` | `urdu1245` | Urdu                                |                                                            |
+| `uzn` | `Latn` | `nort2690` | Northern Uzbek                      |                                                            |
+| `uzs` | `Arab` | `sout2699` | [Southern Uzbek](dataset_cards/uzs_Arab.md) |                   `dev` only                       |
+| `vec` | `Latn` | `vene1259` | Venetian                            |                                                            |
+| `vie` | `Latn` | `viet1252` | Vietnamese                          |                                                            |
+| `vmw` | `Latn` | `cent2033` | [Emakhuwa (Central)](dataset_cards/vmw_Latn.md) |                                                |
+| `war` | `Latn` | `wara1300` | Waray                               |                                                            |
+| `wol` | `Latn` | `nucl1347` | Wolof                               |                                                            |
+| `wuu` | `Hans` | `suhu1238` | [Wu Chinese](dataset_cards/wuu_Hans.md)         |               `dev` only                       |
+| `xho` | `Latn` | `xhos1239` | Xhosa                               |                                                            |
+| `ydd` | `Hebr` | `east2295` | Eastern Yiddish                     |                                                            |
+| `yor` | `Latn` | `yoru1245` | Yoruba                              |                                                            |
+| `yue` | `Hant` | `xian1255` | [Yue Chinese (Hong Kong Cantonese)](dataset_cards/yue_Hant.md)   |                               |
+| `zgh` | `Tfng` | `stan1324` | [Standard Moroccan Tamazight](dataset_cards/zgh_Tfng.md)         |                               |
+| `zsm` | `Latn` | `stan1306` | Standard Malay                      |                                                            |
+| `zul` | `Latn` | `zulu1248` | Zulu                                |                                                            |

artifacts/hf_readmes/oscar-corpus__OSCAR-2301__README.md

@@ -0,0 +1,531 @@
+---
+license: cc0-1.0
+size_categories:
+- n>1T
+multilinguality:
+- multilingual
+source_datasets:
+- original
+task_categories:
+- fill-mask
+- text-generation
+task_ids:
+- language-modeling
+paperswithcode_id: oscar
+extra_gated_prompt: "**[IMPORTANT: We are forced to temporarily suspend access to OSCAR. The temporary nature of this suspension has led us to choose to implement it as gated access with manual control, and we will not grant any access until the situation has been clarified. We sincerely apologize for this situation and hope to be able to restore access as soon as possible. In the meantime, we remind you that we have always prohibited access to or use of OSCAR that violates the legislation in force where you are located. In France, for example, any use of OSCAR that does not fall within the framework of the so-called 'TDM' or the so-called 'research' exceptions to copyright has always been prohibited.]** By filling the form below, you understand that only the metadata and the annotations of OSCAR 23.01 have a cc0-1.0 license, and that the rest of the content is crawled data derived from the November/December 2022 snapshot of Common Crawl, for which the authors of OSCAR **do not** hold any copyright whatsoever."
+extra_gated_fields:
+ Name: text
+ Email: text
+ Affiliation: text
+ Country: text
+ Usecase: text
+ I have explicitly check with my jurisdiction and I confirm that downloading OSCAR 2301 is legal in the country/region where I am located right now, and for the use case that I have described above: checkbox
+---
+
+# Dataset Card for "OSCAR 23.01"
+
+## IMPORTANT NOTE: THIS DATASET CARD IS STILL BEING WRITTEN, PLEASE BE PATIENT WHILE WE COMPLETE ALL THE INFORMATION ABOUT THE CORPUS
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [https://oscar-project.org](https://oscar-project.org)
+- **Repository:** [https://github.com/oscar-project](https://github.com/oscar-project)
+- **Papers:** [Towards a Cleaner Document-Oriented Multilingual Crawled Corpus](https://aclanthology.org/2022.lrec-1.463/), [Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data](https://arxiv.org/abs/2212.10440)
+- **Point of Contact:** [Contact](https://oscar-project.org/#contact)
+
+### Dataset Summary
+
+The OSCAR project (**O**pen **S**uper-large **C**rawled **A**ggregated co**R**pus) is an Open Source project aiming to provide web-based multilingual resources and datasets for Machine Learning (ML) and Artificial Intelligence (AI) applications. The project focuses specifically in providing large quantities of unannotated raw data that is commonly used in the pre-training of large deep learning models. The OSCAR project has developed [high-performance data pipelines](https://github.com/oscar-corpus/ungoliant) specifically conceived to classify and filter large amounts of [web data](https://commoncrawl.org/). The project has also put special attention in improving the data quality of web-based corpora as well as providing data for low-resource languages, so that these new ML/AI technologies are accessible to as many communities as possible.
+
+OSCAR 23.01 is the January 2023 version of the OSCAR Corpus based on the [November/December 2022 dump of Common Crawl](https://commoncrawl.org/2022/12/nov-dec-2022-crawl-archive-now-available/). While being quite similar to OSCAR 22.01, it contains several new features, including [KenLM](https://kheafield.com/code/kenlm/)-based adult content detection, precomputed [Locality-Sensitive Hashes](https://fr.wikipedia.org/wiki/Locality_sensitive_hashing) for near deduplication, and [blocklist](https://dsi.ut-capitole.fr/blacklists/index_en.php)-based categories. OSCAR 23.01 has also moved from gzip to [Zstandard compression](https://facebook.github.io/zstd/). You might already have `zstd` installed on your system, but if not, please check the [Zstandard website](https://facebook.github.io/zstd/) for installation instructions.
+
+### Supported Tasks and Leaderboards
+
+OSCAR is mainly intended to pretrain language models and word representations.
+
+### Languages
+
+All the data is distributed by language, both the original and the deduplicated versions of the data are available. 151 different languages are available. The table in subsection [Data Splits Sample Size](#data-splits-sample-size) provides the language code for each subcorpus as well as the number of words (space separated tokens), lines and sizes for both the original and the deduplicated versions of OSCAR.
+
+### Issues
+
+OSCAR 23.01 may have quality issues on low size subcorpora, as it has been the case before.
+
+Note that since the documents are identified as a whole, it is expected to have lines in other languages in a given language subcorpus.
+As an example, it is known and expected that the German subcorpus contains documents holding lines identified as Swiss German / Alemannic.
+
+**If you encounter something that is unexpected, please file an issue here: https://github.com/oscar-corpus/corpus/issues.**
+
+|Language code|Language|Issues|
+|-------------|--------|------|
+|             |        |      |
+## Dataset Structure
+
+We show detailed information for all the configurations of the dataset.
+
+### Data Instances
+
+TODO
+
+### Layout
+
+```js
+{
+   "content":"English sentence\nphrase en français\n????????????", // (1)
+   "warc_headers":{ // (2)
+      "warc-identified-content-language":"fra,eng",
+      "warc-target-uri":"https://fr.wikipedia.org/wiki/...",
+      "warc-record-id":"<urn:uuid:29eaa920-d299-4b1d-b687-c72bd8d68116>",
+      "warc-type":"conversion",
+      "content-length":"35298", // (3)
+      "warc-refers-to":"<urn:uuid:39e42055-0d94-4e45-9c6c-9e7056635d64>",
+      "warc-block-digest":"sha1:WFH2A5WHCS2H365GIAFYQPI7UOAMFGHB", // (3)
+      "warc-date":"2022-11-26T09:45:47Z",
+      "content-type":"text/plain"
+   },
+   "metadata":{
+      "identification":{ // (4)
+         "label":"fr",
+         "prob":0.8938327
+      },
+      "harmful_pp":4063.1814, // (5)
+      "tlsh":"tlsh:T125315FF2B6088901EEA097015DB39B4600B...", // (6)
+      "quality_warnings":[ // (7)
+         "short_sentences",
+         "header",
+         "footer"
+      ],
+      "categories":[ // (8)
+         "examen_pix",
+         "liste_bu"
+      ],
+      "sentence_identifications":[ // (9)
+         {
+            "label":"fr",
+            "prob":0.99837273
+         },
+         {
+            "label":"en",
+            "prob":0.9992377
+         },
+         null
+      ]
+   }
+}
+```
+
+### Data Splits
+
+
+<details>
+  <summary>Click to expand the number of samples per configuration</summary>
+</details>
+
+## Table
+
+|     | Code   | Language                 | # docs        | # words         | Content Length :  |
+|----:|:-------|:-------------------------|:--------------|:----------------|:-----------------|
+|   0 | af     | Afrikaans                | 23,994        | 6,217,024       | 37.2 MB          |
+|   1 | sq     | Albanian                 | 1,342,790     | 462,694,599     | 3.2 GB           |
+|   2 | am     | Amharic                  | 119,434       | 40,262,809      | 512.9 MB         |
+|   3 | ar     | Arabic                   | 25,012,116    | 10,081,452,882  | 110.7 GB         |
+|   4 | an     | Aragonese                | 34            | 264             | 11.0 kB          |
+|   5 | hy     | Armenian                 | 1,056,974     | 336,045,041     | 4.9 GB           |
+|   6 | as     | Assamese                 | 89,542        | 24,395,215      | 412.1 MB         |
+|   7 | ast    | Asturian                 | 440           | 10,917          | 74.1 kB          |
+|   8 | av     | Avaric                   | 44            | 1,073           | 18.6 kB          |
+|   9 | az     | Azerbaijani              | 1,159,994     | 316,850,330     | 3.0 GB           |
+|  10 | bn     | Bangla                   | 3,474,086     | 1,092,983,765   | 19.1 GB          |
+|  11 | ba     | Bashkir                  | 128,248       | 26,036,637      | 363.7 MB         |
+|  12 | eu     | Basque                   | 678,474       | 136,672,615     | 1.2 GB           |
+|  13 | be     | Belarusian               | 445,612       | 164,729,607     | 2.3 GB           |
+|  14 | bh     | Bihari languages         | 48            | 507             | 6.8 kB           |
+|  15 | bpy    | Bishnupriya              | 2,346         | 346,947         | 5.4 MB           |
+|  16 | bs     | Bosnian                  | 20            | 395             | 3.0 kB           |
+|  17 | br     | Breton                   | 36,338        | 4,759,407       | 31.4 MB          |
+|  18 | bg     | Bulgarian                | 8,933,998     | 3,635,273,738   | 44.1 GB          |
+|  19 | my     | Burmese                  | 430,276       | 82,433,836      | 3.0 GB           |
+|  20 | ca     | Catalan                  | 6,953,898     | 2,240,460,836   | 15.3 GB          |
+|  21 | ceb    | Cebuano                  | 16,174        | 6,263,404       | 41.1 MB          |
+|  22 | ckb    | Central Kurdish          | 182,508       | 61,334,746      | 772.9 MB         |
+|  23 | ce     | Chechen                  | 11,686        | 1,051,752       | 13.9 MB          |
+|  24 | zh     | Chinese                  | 138,478,270   | 44,378,380,161  | 1.4 TB           |
+|  25 | cv     | Chuvash                  | 16,652        | 3,039,925       | 42.3 MB          |
+|  26 | kw     | Cornish                  | 8             | 80              | 432 Bytes        |
+|  27 | hr     | Croatian                 | 31,808        | 3,542,961       | 26.5 MB          |
+|  28 | cs     | Czech                    | 34,859,632    | 9,717,378,559   | 77.0 GB          |
+|  29 | da     | Danish                   | 7,214,338     | 2,217,634,340   | 14.8 GB          |
+|  30 | dv     | Divehi                   | 77,060        | 10,655,359      | 200.1 MB         |
+|  31 | nl     | Dutch                    | 72,552,688    | 19,564,553,306  | 135.0 GB         |
+|  32 | mhr    | Eastern Mari             | 9,502         | 1,615,215       | 22.9 MB          |
+|  33 | arz    | Egyptian Arabic          | 3,958         | 385,511         | 3.7 MB           |
+|  34 | en     | English                  | 1,235,510,986 | 523,869,288,690 | 3.4 TB           |
+|  35 | eo     | Esperanto                | 226,924       | 67,774,923      | 474.8 MB         |
+|  36 | et     | Estonian                 | 3,601,904     | 938,296,892     | 8.0 GB           |
+|  37 | tl     | Filipino                 | 250,558       | 110,560,444     | 719.2 MB         |
+|  38 | fi     | Finnish                  | 14,471,710    | 4,198,143,883   | 41.1 GB          |
+|  39 | fr     | French                   | 158,334,998   | 62,127,088,294  | 430.5 GB         |
+|  40 | gl     | Galician                 | 248,762       | 38,345,625      | 255.7 MB         |
+|  41 | ka     | Georgian                 | 1,343,036     | 373,935,158     | 8.4 GB           |
+|  42 | de     | German                   | 206,598,430   | 73,848,586,648  | 594.7 GB         |
+|  43 | gom    | Goan Konkani             | 398           | 121,035         | 2.3 MB           |
+|  44 | el     | Greek                    | 20,282,864    | 7,691,622,692   | 95.7 GB          |
+|  45 | gn     | Guarani                  | 14            | 260             | 2.2 kB           |
+|  46 | gu     | Gujarati                 | 425,552       | 417,001,705     | 5.6 GB           |
+|  47 | ht     | Haitian Creole           | 2             | 20,671          | 93.1 kB          |
+|  48 | he     | Hebrew                   | 3,997,888     | 1,697,158,891   | 18.0 GB          |
+|  49 | hi     | Hindi                    | 5,514,454     | 2,475,605,444   | 32.6 GB          |
+|  50 | hu     | Hungarian                | 21,349,372    | 16,013,364,289  | 150.1 GB         |
+|  51 | is     | Icelandic                | 1,210,232     | 294,471,539     | 2.2 GB           |
+|  52 | io     | Ido                      | 224           | 2,598           | 16.1 kB          |
+|  53 | ilo    | Iloko                    | 144           | 4,411           | 28.0 kB          |
+|  54 | id     | Indonesian               | 7,109,778     | 3,228,020,221   | 23.4 GB          |
+|  55 | ia     | Interlingua              | 34            | 9,384           | 33.5 kB          |
+|  56 | ie     | Interlingue              | 2             | 0               | 881 Bytes        |
+|  57 | ga     | Irish                    | 29,894        | 9,054,923       | 63.2 MB          |
+|  58 | it     | Italian                  | 89,021,606    | 36,327,274,203  | 259.4 GB         |
+|  59 | ja     | Japanese                 | 94,236,404    | 4,401,059,165   | 181.2 GB         |
+|  60 | jv     | Javanese                 | 172           | 3,286           | 25.7 kB          |
+|  61 | xal    | Kalmyk                   | 2             | 27              | 315 Bytes        |
+|  62 | kn     | Kannada                  | 448,500       | 124,924,350     | 2.6 GB           |
+|  63 | krc    | Karachay-Balkar          | 496           | 8,385           | 122.4 kB         |
+|  64 | kk     | Kazakh                   | 677,622       | 214,679,857     | 3.3 GB           |
+|  65 | km     | Khmer                    | 450,660       | 59,880,231      | 3.2 GB           |
+|  66 | kv     | Komi                     | 460           | 5,909           | 70.3 kB          |
+|  67 | ko     | Korean                   | 15,147,698    | 3,435,866,935   | 38.1 GB          |
+|  68 | ku     | Kurdish                  | 80,338        | 25,921,607      | 174.1 MB         |
+|  69 | ky     | Kyrgyz                   | 144,288       | 32,062,783      | 489.3 MB         |
+|  70 | lo     | Lao                      | 118,374       | 10,659,203      | 472.1 MB         |
+|  71 | la     | Latin                    | 14,384        | 307,865         | 2.0 MB           |
+|  72 | lv     | Latvian                  | 2,435,882     | 845,459,899     | 7.4 GB           |
+|  73 | lez    | Lezghian                 | 676           | 60,634          | 856.6 kB         |
+|  74 | li     | Limburgish               | 6             | 169             | 1.4 kB           |
+|  75 | lt     | Lithuanian               | 5,182,028     | 1,674,362,574   | 14.5 GB          |
+|  76 | jbo    | Lojban                   | 572           | 312,315         | 1.5 MB           |
+|  77 | lmo    | Lombard                  | 112           | 3,269           | 21.0 kB          |
+|  78 | nds    | Low German               | 5,248         | 1,612,175       | 10.7 MB          |
+|  79 | dsb    | Lower Sorbian            | 8             | 84              | 664 Bytes        |
+|  80 | lb     | Luxembourgish            | 18,090        | 2,514,838       | 18.4 MB          |
+|  81 | mk     | Macedonian               | 1,063,298     | 389,344,425     | 4.7 GB           |
+|  82 | mai    | Maithili                 | 46            | 467             | 6.8 kB           |
+|  83 | mg     | Malagasy                 | 10,830        | 1,416,430       | 11.2 MB          |
+|  84 | ms     | Malay                    | 11,500        | 238,477         | 2.6 MB           |
+|  85 | ml     | Malayalam                | 800,936       | 236,597,838     | 5.8 GB           |
+|  86 | mt     | Maltese                  | 5,180         | 149,886         | 1.3 MB           |
+|  87 | mr     | Marathi                  | 729,578       | 252,706,331     | 4.5 GB           |
+|  88 | mzn    | Mazanderani              | 384           | 16,115          | 169.2 kB         |
+|  89 | min    | Minangkabau              | 2,436         | 305,589         | 3.8 MB           |
+|  90 | xmf    | Mingrelian               | 7,318         | 283,316         | 6.1 MB           |
+|  91 | mwl    | Mirandese                | 4             | 54              | 423 Bytes        |
+|  92 | mn     | Mongolian                | 1,061,710     | 454,350,415     | 5.8 GB           |
+|  93 | multi  | **Multilingual**         | 2,948,202     | 1,251,676,406   | 11.9 GB          |
+|  94 | nah    | Nahuatl languages        | 38            | 279             | 2.4 kB           |
+|  95 | ne     | Nepali                   | 1,152,156     | 278,901,036     | 4.9 GB           |
+|  96 | new    | Newari                   | 1,996         | 229,703         | 4.0 MB           |
+|  97 | no     | Norwegian                | 2,797,378     | 373,160,033     | 2.6 GB           |
+|  98 | nn     | Norwegian Nynorsk        | 19,470        | 575,518         | 3.7 MB           |
+|  99 | oc     | Occitan                  | 920           | 34,701          | 405.0 kB         |
+| 100 | or     | Odia                     | 158,426       | 31,963,340      | 543.1 MB         |
+| 101 | os     | Ossetic                  | 8,628         | 3,935,964       | 50.7 MB          |
+| 102 | ps     | Pashto                   | 87,408        | 30,196,179      | 261.6 MB         |
+| 103 | fa     | Persian                  | 23,813,882    | 9,609,206,698   | 93.2 GB          |
+| 104 | pms    | Piedmontese              | 2,524         | 510,087         | 3.1 MB           |
+| 105 | pl     | Polish                   | 57,184,826    | 18,073,705,588  | 147.1 GB         |
+| 106 | pt     | Portuguese               | 36,062,800    | 15,172,557,311  | 105.0 GB         |
+| 107 | pa     | Punjabi                  | 222,058       | 104,235,418     | 1.4 GB           |
+| 108 | qu     | Quechua                  | 2             | 13              | 143 Bytes        |
+| 109 | ro     | Romanian                 | 11,985,668    | 6,302,600,833   | 45.6 GB          |
+| 110 | bxr    | Russia Buriat            | 72            | 698             | 8.2 kB           |
+| 111 | ru     | Russian                  | 194,143,422   | 78,032,029,344  | 1.1 TB           |
+| 112 | sah    | Sakha                    | 17,566        | 4,288,051       | 68.8 MB          |
+| 113 | sa     | Sanskrit                 | 16,802        | 2,479,345       | 56.3 MB          |
+| 114 | gd     | Scottish Gaelic          | 776           | 18,458          | 146.1 kB         |
+| 115 | sr     | Serbian                  | 1,677,896     | 632,781,822     | 7.7 GB           |
+| 116 | sh     | Serbian (Latin)          | 3,214         | 166,517         | 816.4 kB         |
+| 117 | sd     | Sindhi                   | 48,566        | 14,667,207      | 131.6 MB         |
+| 118 | si     | Sinhala                  | 301,066       | 172,755,385     | 2.6 GB           |
+| 119 | sk     | Slovak                   | 8,931,784     | 2,704,716,280   | 21.5 GB          |
+| 120 | sl     | Slovenian                | 1,112,560     | 192,816,743     | 1.4 GB           |
+| 121 | so     | Somali                   | 6             | 51              | 503 Bytes        |
+| 122 | azb    | South Azerbaijani        | 26,364        | 2,029,729       | 28.4 MB          |
+| 123 | es     | Spanish                  | 153,574,556   | 63,388,237,965  | 429.9 GB         |
+| 124 | su     | Sundanese                | 18            | 258             | 2.0 kB           |
+| 125 | sw     | Swahili                  | 1,664         | 164,459         | 1.0 MB           |
+| 126 | sv     | Swedish                  | 21,891,348    | 6,993,719,601   | 50.0 GB          |
+| 127 | gsw    | Swiss German             | 342           | 34,328          | 232.7 kB         |
+| 128 | tg     | Tajik                    | 144,932       | 76,987,285      | 1.0 GB           |
+| 129 | ta     | Tamil                    | 1,638,238     | 738,824,392     | 15.8 GB          |
+| 130 | tt     | Tatar                    | 262,654       | 59,253,765      | 833.8 MB         |
+| 131 | te     | Telugu                   | 644,712       | 201,575,815     | 3.9 GB           |
+| 132 | th     | Thai                     | 14,845,900    | 2,224,483,018   | 92.0 GB          |
+| 133 | bo     | Tibetan                  | 62,352        | 6,062,558       | 531.6 MB         |
+| 134 | tr     | Turkish                  | 26,654,330    | 8,290,890,087   | 73.7 GB          |
+| 135 | tk     | Turkmen                  | 4,576         | 325,786         | 3.3 MB           |
+| 136 | uk     | Ukrainian                | 10,059,992    | 3,183,842,018   | 44.7 GB          |
+| 137 | x-eml  | Emiliano-Romagnol        | 4             | 329             | 1.8 kB           |
+| 138 | hsb    | Upper Sorbian            | 402           | 15,827          | 123.2 kB         |
+| 139 | ur     | Urdu                     | 887,004       | 434,023,273     | 3.8 GB           |
+| 140 | ug     | Uyghur                   | 51,304        | 14,659,554      | 219.8 MB         |
+| 141 | uz     | Uzbek                    | 15,806        | 1,665,960       | 15.3 MB          |
+| 142 | vi     | Vietnamese               | 33,933,994    | 22,424,984,210  | 140.8 GB         |
+| 143 | vo     | Volapük                  | 896           | 49,968          | 371.9 kB         |
+| 144 | wa     | Walloon                  | 390           | 6,347           | 34.3 kB          |
+| 145 | war    | Waray                    | 1,494         | 19,665          | 126.8 kB         |
+| 146 | cy     | Welsh                    | 151,512       | 52,250,043      | 333.0 MB         |
+| 147 | fy     | Western Frisian          | 45,458        | 9,885,788       | 70.4 MB          |
+| 148 | mrj    | Western Mari             | 496           | 60,180          | 765.8 kB         |
+| 149 | pnb    | Western Panjabi          | 12,904        | 11,844,695      | 105.8 MB         |
+| 150 | wuu    | Wu Chinese               | 136           | 1,199           | 26.8 kB          |
+| 151 | yi     | Yiddish                  | 47,438        | 14,287,370      | 171.7 MB         |
+| 152 | yo     | Yoruba                   | 128           | 2,396           | 16.6 kB          |
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+OSCAR was constructed using [`Ungoliant`](https://github.com/oscar-corpus/ungoliant), a new pipeline derived from [goclassy](https://github.com/oscar-corpus/goclassy), itself being derived from [fastText's one](https://github.com/facebookresearch/fastText).
+
+The pipeline works on documents rather than lines. 
+`Ungoliant` is implemented in the [Rust programming language](https://rust-lang.org), and uses [rayon](https://github.com/rayon-rs/rayon) as its data parallelism strategy. 
+Threading is done at shard, record and sentence level, making the whole generation process much more efficient.
+
+Filtering will be explained in a future blog post at our [website](https://oscar-corpus.com)
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Common Crawl](https://commoncrawl.org/) is a non-profit foundation which produces and maintains an open repository of web crawled data that is both accessible and analysable. Common Crawl's complete web archive consists of petabytes of data collected over 8 years of web crawling. The repository contains raw web page HTML data (WARC files), metdata extracts (WAT files) and plain text extracts (WET files). The organisation's crawlers has always respected [nofollow](http://microformats.org/wiki/rel-nofollow) and [robots.txt](https://www.robotstxt.org/) policies.
+
+Each monthly Common Crawl snapshot is in itself a massive multilingual corpus, where every single file contains data coming from multiple web pages written in a large variety of languages and covering all possible types of topics.
+
+To construct OSCAR the WET files of Common Crawl were used. These contain the extracted plain texts from the websites mostly converted to UTF-8, as well as headers containing the metatada of each crawled document. Each WET file comes compressed in gzip format and is stored on Amazon Web Services. In the case of OSCAR 22.01, the **November/December 2021** snapshot was used. It is composed by 64 000 compressed text files containing documents and their headers.
+
+#### Who are the source language producers?
+
+The data comes from multiple web pages in a large variety of languages.
+
+### Annotations
+
+The dataset does not contain any additional annotations.
+
+#### Annotation process
+
+N/A
+
+#### Who are the annotators?
+
+N/A
+
+### Personal and Sensitive Information
+
+Being constructed from Common Crawl, Personal and sensitive information might be present. This **must** be considered before training deep learning models with OSCAR, specially in the case of text-generation models.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+OSCAR is intended to bring more data to a wide variety of lanuages, the aim of the corpus is to make large amounts of data available to lower resource languages in order to facilitate the pre-training of state-of-the-art language modeling architectures.
+
+### Discussion of Biases
+
+OSCAR is not properly filtered yet and this can be reflected on the models trained with it. Care is advised specially concerning biases of the resulting models.
+
+### Other Known Limitations
+
+The [fastText linear classifier](https://fasttext.cc) is limed both in performance and the variety of languages it can recognize, so the quality of some OSCAR sub-corpora might be lower than expected, specially for the lowest-resource langiuages. Some audits have already been done by [third parties](https://arxiv.org/abs/2010.14571).
+
+## Additional Information
+
+### Dataset Curators
+
+This release of OSCAR was made possible by [Julien Abadji](https://ujj.space), [Pedro Ortiz Suarez](https://portizs.eu/), [Rua Ismail](https://oscar-project.org/authors/rua/), [Sotaro Takeshita](https://sotaro.io/about), [Sebastian Nagel](https://www.polver.uni-konstanz.de/cnc/people/nagel/) and [Benoit Sagot](http://pauillac.inria.fr/~sagot/).
+
+### Licensing Information
+
+    These data are released under this licensing scheme
+    We do not own any of the text from which these data has been extracted.
+    We license the actual packaging, the metadata and the annotations of these data under the Creative Commons CC0 license ("no rights reserved") http://creativecommons.org/publicdomain/zero/1.0/
+    To the extent possible under law, the OSCAR project, Inria, the Univertity of Mannheim and DFKI GmbH have waived all copyright and related or neighboring rights to OSCAR
+    This work is published from: France and Germany.
+
+    Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please:
+    * Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted.
+    * Clearly identify the copyrighted work claimed to be infringed.
+    * Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate the material.
+
+    We will comply to legitimate requests by removing the affected sources from the next release of the corpus.
+
+### Citation Information
+
+```
+@ARTICLE{2022arXiv221210440J,
+       author = {{Jansen}, Tim and {Tong}, Yangling and {Zevallos}, Victoria and {Ortiz Suarez}, Pedro},
+        title = "{Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data}",
+      journal = {arXiv e-prints},
+     keywords = {Computer Science - Computation and Language},
+         year = 2022,
+        month = dec,
+          eid = {arXiv:2212.10440},
+        pages = {arXiv:2212.10440},
+          doi = {10.48550/arXiv.2212.10440},
+archivePrefix = {arXiv},
+       eprint = {2212.10440},
+ primaryClass = {cs.CL},
+       adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv221210440J},
+      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
+}
+
+@inproceedings{abadji-etal-2022-towards,
+    title = "Towards a Cleaner Document-Oriented Multilingual Crawled Corpus",
+    author = "Abadji, Julien  and
+      Ortiz Suarez, Pedro  and
+      Romary, Laurent  and
+      Sagot, Beno{\^\i}t",
+    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.lrec-1.463",
+    pages = "4344--4355",
+    abstract = "The need for large corpora raw corpora has dramatically increased in recent years with the introduction of transfer learning and semi-supervised learning methods to Natural Language Processing. And while there have been some recent attempts to manually curate the amount of data necessary to train large language models, the main way to obtain this data is still through automatic web crawling. In this paper we take the existing multilingual web corpus OSCAR and its pipeline Ungoliant that extracts and classifies data from Common Crawl at the line level, and propose a set of improvements and automatic annotations in order to produce a new document-oriented version of OSCAR that could prove more suitable to pre-train large generative language models as well as hopefully other applications in Natural Language Processing and Digital Humanities.",
+}
+
+      
+@inproceedings{AbadjiOrtizSuarezRomaryetal.2021,
+  author    = {Julien Abadji and Pedro Javier Ortiz Su{\'a}rez and Laurent Romary and Beno{\^i}t Sagot},
+  title     = {Ungoliant: An optimized pipeline for the generation of a very large-scale multilingual web corpus},
+  series = {Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-9) 2021. Limerick, 12 July 2021 (Online-Event)},
+  editor    = {Harald L{\"u}ngen and Marc Kupietz and Piotr Bański and Adrien Barbaresi and Simon Clematide and Ines Pisetta},
+  publisher = {Leibniz-Institut f{\"u}r Deutsche Sprache},
+  address   = {Mannheim},
+  doi       = {10.14618/ids-pub-10468},
+  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-104688},
+  pages     = {1 -- 9},
+  year      = {2021},
+  abstract  = {Since the introduction of large language models in Natural Language Processing, large raw corpora have played a crucial role in Computational Linguistics. However, most of these large raw corpora are either available only for English or not available to the general public due to copyright issues. Nevertheless, there are some examples of freely available multilingual corpora for training Deep Learning NLP models, such as the OSCAR and Paracrawl corpora. However, they have quality issues, especially for low-resource languages. Moreover, recreating or updating these corpora is very complex. In this work, we try to reproduce and improve the goclassy pipeline used to create the OSCAR corpus. We propose a new pipeline that is faster, modular, parameterizable, and well documented. We use it to create a corpus similar to OSCAR but larger and based on recent data. Also, unlike OSCAR, the metadata information is at the document level. We release our pipeline under an open source license and publish the corpus under a research-only license.},
+  language  = {en}
+}
+
+@article{kreutzer-etal-2022-quality,
+    title = "Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets",
+    author = {Kreutzer, Julia  and
+      Caswell, Isaac  and
+      Wang, Lisa  and
+      Wahab, Ahsan  and
+      van Esch, Daan  and
+      Ulzii-Orshikh, Nasanbayar  and
+      Tapo, Allahsera  and
+      Subramani, Nishant  and
+      Sokolov, Artem  and
+      Sikasote, Claytone  and
+      Setyawan, Monang  and
+      Sarin, Supheakmungkol  and
+      Samb, Sokhar  and
+      Sagot, Beno{\^\i}t  and
+      Rivera, Clara  and
+      Rios, Annette  and
+      Papadimitriou, Isabel  and
+      Osei, Salomey  and
+      Suarez, Pedro Ortiz  and
+      Orife, Iroro  and
+      Ogueji, Kelechi  and
+      Rubungo, Andre Niyongabo  and
+      Nguyen, Toan Q.  and
+      M{\"u}ller, Mathias  and
+      M{\"u}ller, Andr{\'e}  and
+      Muhammad, Shamsuddeen Hassan  and
+      Muhammad, Nanda  and
+      Mnyakeni, Ayanda  and
+      Mirzakhalov, Jamshidbek  and
+      Matangira, Tapiwanashe  and
+      Leong, Colin  and
+      Lawson, Nze  and
+      Kudugunta, Sneha  and
+      Jernite, Yacine  and
+      Jenny, Mathias  and
+      Firat, Orhan  and
+      Dossou, Bonaventure F. P.  and
+      Dlamini, Sakhile  and
+      de Silva, Nisansa  and
+      {\c{C}}abuk Ball{\i}, Sakine  and
+      Biderman, Stella  and
+      Battisti, Alessia  and
+      Baruwa, Ahmed  and
+      Bapna, Ankur  and
+      Baljekar, Pallavi  and
+      Azime, Israel Abebe  and
+      Awokoya, Ayodele  and
+      Ataman, Duygu  and
+      Ahia, Orevaoghene  and
+      Ahia, Oghenefego  and
+      Agrawal, Sweta  and
+      Adeyemi, Mofetoluwa},
+    journal = "Transactions of the Association for Computational Linguistics",
+    volume = "10",
+    year = "2022",
+    address = "Cambridge, MA",
+    publisher = "MIT Press",
+    url = "https://aclanthology.org/2022.tacl-1.4",
+    doi = "10.1162/tacl_a_00447",
+    pages = "50--72",
+    abstract = "With the success of large-scale pre-training and multilingual modeling in Natural Language Processing (NLP), recent years have seen a proliferation of large, Web-mined text datasets covering hundreds of languages. We manually audit the quality of 205 language-specific corpora released with five major public datasets (CCAligned, ParaCrawl, WikiMatrix, OSCAR, mC4). Lower-resource corpora have systematic issues: At least 15 corpora have no usable text, and a significant fraction contains less than 50{\%} sentences of acceptable quality. In addition, many are mislabeled or use nonstandard/ambiguous language codes. We demonstrate that these issues are easy to detect even for non-proficient speakers, and supplement the human audit with automatic analyses. Finally, we recommend techniques to evaluate and improve multilingual corpora and discuss potential risks that come with low-quality data releases.",
+}
+
+@inproceedings{ortiz-suarez-etal-2020-monolingual,
+    title = "A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages",
+    author = "Ortiz Su{'a}rez, Pedro Javier  and
+      Romary, Laurent  and
+      Sagot, Benoit",
+    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
+    month = jul,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.acl-main.156",
+    pages = "1703--1714",
+    abstract = "We use the multilingual OSCAR corpus, extracted from Common Crawl via language classification, filtering and cleaning, to train monolingual contextualized word embeddings (ELMo) for five mid-resource languages. We then compare the performance of OSCAR-based and Wikipedia-based ELMo embeddings for these languages on the part-of-speech tagging and parsing tasks. We show that, despite the noise in the Common-Crawl-based OSCAR data, embeddings trained on OSCAR perform much better than monolingual embeddings trained on Wikipedia. They actually equal or improve the current state of the art in tagging and parsing for all five languages. In particular, they also improve over multilingual Wikipedia-based contextual embeddings (multilingual BERT), which almost always constitutes the previous state of the art, thereby showing that the benefit of a larger, more diverse corpus surpasses the cross-lingual benefit of multilingual embedding architectures.",
+}
+
+@inproceedings{OrtizSuarezSagotRomary2019,
+  author    = {Pedro Javier {Ortiz Su{'a}rez} and Benoit Sagot and Laurent Romary},
+  title     = {Asynchronous pipelines for processing huge corpora on medium to low resource infrastructures},
+  series = {Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-7) 2019. Cardiff, 22nd July 2019},
+  editor    = {Piotr Bański and Adrien Barbaresi and Hanno Biber and Evelyn Breiteneder and Simon Clematide and Marc Kupietz and Harald L{"u}ngen and Caroline Iliadi},
+  publisher = {Leibniz-Institut f{"u}r Deutsche Sprache},
+  address   = {Mannheim},
+  doi       = {10.14618/ids-pub-9021},
+  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:mh39-90215},
+  pages     = {9 -- 16},
+  year      = {2019},
+  abstract  = {Common Crawl is a considerably large, heterogeneous multilingual corpus comprised of crawled documents from the internet, surpassing 20TB of data and distributed as a set of more than 50 thousand plain text files where each contains many documents written in a wide variety of languages. Even though each document has a metadata block associated to it, this data lacks any information about the language in which each document is written, making it extremely difficult to use Common Crawl for monolingual applications. We propose a general, highly parallel, multithreaded pipeline to clean and classify Common Crawl by language; we specifically design it so that it runs efficiently on medium to low resource infrastructures where I/O speeds are the main constraint. We develop the pipeline so that it can be easily reapplied to any kind of heterogeneous corpus and so that it can be parameterised to a wide range of infrastructures. We also distribute a 6.3TB version of Common Crawl, filtered, classified by language, shuffled at line level in order to avoid copyright issues, and ready to be used for NLP applications.},
+  language  = {en}
+}
+
+```

artifacts/hf_readmes/oscar-corpus__mOSCAR__README.md

@@ -0,0 +1,697 @@
+---
+license: cc-by-4.0
+configs:
+- config_name: "ace_Latn"
+  data_files:
+  - split: train
+    path: data/ace_Latn/*
+- config_name: "acm_Arab"
+  data_files:
+  - split: train
+    path: data/acm_Arab/*
+- config_name: "aeb_Arab"
+  data_files:
+  - split: train
+    path: data/aeb_Arab/*
+- config_name: "afr_Latn"
+  data_files:
+  - split: train
+    path: data/afr_Latn/*
+- config_name: "ajp_Arab"
+  data_files:
+  - split: train
+    path: data/ajp_Arab/*
+- config_name: "als_Latn"
+  data_files:
+  - split: train
+    path: data/als_Latn/*
+- config_name: "amh_Ethi"
+  data_files:
+  - split: train
+    path: data/amh_Ethi/*
+- config_name: "apc_Arab"
+  data_files:
+  - split: train
+    path: data/apc_Arab/*
+- config_name: "arb_Arab"
+  data_files:
+  - split: train
+    path: data/arb_Arab/*
+- config_name: "ars_Arab"
+  data_files:
+  - split: train
+    path: data/ars_Arab/*
+- config_name: "ary_Arab"
+  data_files:
+  - split: train
+    path: data/ary_Arab/*
+- config_name: "arz_Arab"
+  data_files:
+  - split: train
+    path: data/arz_Arab/*
+- config_name: "asm_Beng"
+  data_files:
+  - split: train
+    path: data/asm_Beng/*
+- config_name: "ast_Latn"
+  data_files:
+  - split: train
+    path: data/ast_Latn/*
+- config_name: "awa_Deva"
+  data_files:
+  - split: train
+    path: data/awa_Deva/*
+- config_name: "ayr_Latn"
+  data_files:
+  - split: train
+    path: data/ayr_Latn/*
+- config_name: "azb_Arab"
+  data_files:
+  - split: train
+    path: data/azb_Arab/*
+- config_name: "azj_Latn"
+  data_files:
+  - split: train
+    path: data/azj_Latn/*
+- config_name: "bak_Cyrl"
+  data_files:
+  - split: train
+    path: data/bak_Cyrl/*
+- config_name: "bam_Latn"
+  data_files:
+  - split: train
+    path: data/bam_Latn/*
+- config_name: "ban_Latn"
+  data_files:
+  - split: train
+    path: data/ban_Latn/*
+- config_name: "bel_Cyrl"
+  data_files:
+  - split: train
+    path: data/bel_Cyrl/*
+- config_name: "bem_Latn"
+  data_files:
+  - split: train
+    path: data/bem_Latn/*
+- config_name: "ben_Beng"
+  data_files:
+  - split: train
+    path: data/ben_Beng/*
+- config_name: "bho_Deva"
+  data_files:
+  - split: train
+    path: data/bho_Deva/*
+- config_name: "bjn_Latn"
+  data_files:
+  - split: train
+    path: data/bjn_Latn/*
+- config_name: "bos_Latn"
+  data_files:
+  - split: train
+    path: data/bos_Latn/*
+- config_name: "bug_Latn"
+  data_files:
+  - split: train
+    path: data/bug_Latn/*
+- config_name: "bul_Cyrl"
+  data_files:
+  - split: train
+    path: data/bul_Cyrl/*
+- config_name: "cat_Latn"
+  data_files:
+  - split: train
+    path: data/cat_Latn/*
+- config_name: "ceb_Latn"
+  data_files:
+  - split: train
+    path: data/ceb_Latn/*
+- config_name: "ces_Latn"
+  data_files:
+  - split: train
+    path: data/ces_Latn/*
+- config_name: "ckb_Arab"
+  data_files:
+  - split: train
+    path: data/ckb_Arab/*
+- config_name: "crh_Latn"
+  data_files:
+  - split: train
+    path: data/crh_Latn/*
+- config_name: "cym_Latn"
+  data_files:
+  - split: train
+    path: data/cym_Latn/*
+- config_name: "dan_Latn"
+  data_files:
+  - split: train
+    path: data/dan_Latn/*
+- config_name: "deu_Latn"
+  data_files:
+  - split: train
+    path: data/deu_Latn/*
+- config_name: "dik_Latn"
+  data_files:
+  - split: train
+    path: data/dik_Latn/*
+- config_name: "ell_Grek"
+  data_files:
+  - split: train
+    path: data/ell_Grek/*
+- config_name: "eng_Latn"
+  data_files:
+  - split: train
+    path: data/eng_Latn/*
+- config_name: "epo_Latn"
+  data_files:
+  - split: train
+    path: data/epo_Latn/*
+- config_name: "est_Latn"
+  data_files:
+  - split: train
+    path: data/est_Latn/*
+- config_name: "eus_Latn"
+  data_files:
+  - split: train
+    path: data/eus_Latn/*
+- config_name: "fao_Latn"
+  data_files:
+  - split: train
+    path: data/fao_Latn/*
+- config_name: "fij_Latn"
+  data_files:
+  - split: train
+    path: data/fij_Latn/*
+- config_name: "fin_Latn"
+  data_files:
+  - split: train
+    path: data/fin_Latn/*
+- config_name: "fra_Latn"
+  data_files:
+  - split: train
+    path: data/fra_Latn/*
+- config_name: "fur_Latn"
+  data_files:
+  - split: train
+    path: data/fur_Latn/*
+- config_name: "fuv_Latn"
+  data_files:
+  - split: train
+    path: data/fuv_Latn/*
+- config_name: "gaz_Latn"
+  data_files:
+  - split: train
+    path: data/gaz_Latn/*
+- config_name: "gla_Latn"
+  data_files:
+  - split: train
+    path: data/gla_Latn/*
+- config_name: "gle_Latn"
+  data_files:
+  - split: train
+    path: data/gle_Latn/*
+- config_name: "glg_Latn"
+  data_files:
+  - split: train
+    path: data/glg_Latn/*
+- config_name: "grn_Latn"
+  data_files:
+  - split: train
+    path: data/grn_Latn/*
+- config_name: "guj_Gujr"
+  data_files:
+  - split: train
+    path: data/guj_Gujr/*
+- config_name: "hat_Latn"
+  data_files:
+  - split: train
+    path: data/hat_Latn/*
+- config_name: "hau_Latn"
+  data_files:
+  - split: train
+    path: data/hau_Latn/*
+- config_name: "heb_Hebr"
+  data_files:
+  - split: train
+    path: data/heb_Hebr/*
+- config_name: "hin_Deva"
+  data_files:
+  - split: train
+    path: data/hin_Deva/*
+- config_name: "hne_Deva"
+  data_files:
+  - split: train
+    path: data/hne_Deva/*
+- config_name: "hrv_Latn"
+  data_files:
+  - split: train
+    path: data/hrv_Latn/*
+- config_name: "hun_Latn"
+  data_files:
+  - split: train
+    path: data/hun_Latn/*
+- config_name: "hye_Armn"
+  data_files:
+  - split: train
+    path: data/hye_Armn/*
+- config_name: "ibo_Latn"
+  data_files:
+  - split: train
+    path: data/ibo_Latn/*
+- config_name: "ilo_Latn"
+  data_files:
+  - split: train
+    path: data/ilo_Latn/*
+- config_name: "ind_Latn"
+  data_files:
+  - split: train
+    path: data/ind_Latn/*
+- config_name: "isl_Latn"
+  data_files:
+  - split: train
+    path: data/isl_Latn/*
+- config_name: "ita_Latn"
+  data_files:
+  - split: train
+    path: data/ita_Latn/*
+- config_name: "jav_Latn"
+  data_files:
+  - split: train
+    path: data/jav_Latn/*
+- config_name: "jpn_Jpan"
+  data_files:
+  - split: train
+    path: data/jpn_Jpan/*
+- config_name: "kab_Latn"
+  data_files:
+  - split: train
+    path: data/kab_Latn/*
+- config_name: "kan_Knda"
+  data_files:
+  - split: train
+    path: data/kan_Knda/*
+- config_name: "kas_Arab"
+  data_files:
+  - split: train
+    path: data/kas_Arab/*
+- config_name: "kat_Geor"
+  data_files:
+  - split: train
+    path: data/kat_Geor/*
+- config_name: "kaz_Cyrl"
+  data_files:
+  - split: train
+    path: data/kaz_Cyrl/*
+- config_name: "khk_Cyrl"
+  data_files:
+  - split: train
+    path: data/khk_Cyrl/*
+- config_name: "khm_Khmr"
+  data_files:
+  - split: train
+    path: data/khm_Khmr/*
+- config_name: "kin_Latn"
+  data_files:
+  - split: train
+    path: data/kin_Latn/*
+- config_name: "kir_Cyrl"
+  data_files:
+  - split: train
+    path: data/kir_Cyrl/*
+- config_name: "kmr_Latn"
+  data_files:
+  - split: train
+    path: data/kmr_Latn/*
+- config_name: "kor_Hang"
+  data_files:
+  - split: train
+    path: data/kor_Hang/*
+- config_name: "lao_Laoo"
+  data_files:
+  - split: train
+    path: data/lao_Laoo/*
+- config_name: "lij_Latn"
+  data_files:
+  - split: train
+    path: data/lij_Latn/*
+- config_name: "lim_Latn"
+  data_files:
+  - split: train
+    path: data/lim_Latn/*
+- config_name: "lin_Latn"
+  data_files:
+  - split: train
+    path: data/lin_Latn/*
+- config_name: "lit_Latn"
+  data_files:
+  - split: train
+    path: data/lit_Latn/*
+- config_name: "lmo_Latn"
+  data_files:
+  - split: train
+    path: data/lmo_Latn/*
+- config_name: "ltg_Latn"
+  data_files:
+  - split: train
+    path: data/ltg_Latn/*
+- config_name: "ltz_Latn"
+  data_files:
+  - split: train
+    path: data/ltz_Latn/*
+- config_name: "lug_Latn"
+  data_files:
+  - split: train
+    path: data/lug_Latn/*
+- config_name: "lus_Latn"
+  data_files:
+  - split: train
+    path: data/lus_Latn/*
+- config_name: "lvs_Latn"
+  data_files:
+  - split: train
+    path: data/lvs_Latn/*
+- config_name: "mag_Deva"
+  data_files:
+  - split: train
+    path: data/mag_Deva/*
+- config_name: "mal_Mlym"
+  data_files:
+  - split: train
+    path: data/mal_Mlym/*
+- config_name: "mar_Deva"
+  data_files:
+  - split: train
+    path: data/mar_Deva/*
+- config_name: "min_Latn"
+  data_files:
+  - split: train
+    path: data/min_Latn/*
+- config_name: "mkd_Cyrl"
+  data_files:
+  - split: train
+    path: data/mkd_Cyrl/*
+- config_name: "mlt_Latn"
+  data_files:
+  - split: train
+    path: data/mlt_Latn/*
+- config_name: "mri_Latn"
+  data_files:
+  - split: train
+    path: data/mri_Latn/*
+- config_name: "mya_Mymr"
+  data_files:
+  - split: train
+    path: data/mya_Mymr/*
+- config_name: "nld_Latn"
+  data_files:
+  - split: train
+    path: data/nld_Latn/*
+- config_name: "nno_Latn"
+  data_files:
+  - split: train
+    path: data/nno_Latn/*
+- config_name: "nob_Latn"
+  data_files:
+  - split: train
+    path: data/nob_Latn/*
+- config_name: "npi_Deva"
+  data_files:
+  - split: train
+    path: data/npi_Deva/*
+- config_name: "nya_Latn"
+  data_files:
+  - split: train
+    path: data/nya_Latn/*
+- config_name: "oci_Latn"
+  data_files:
+  - split: train
+    path: data/oci_Latn/*
+- config_name: "ory_Orya"
+  data_files:
+  - split: train
+    path: data/ory_Orya/*
+- config_name: "pag_Latn"
+  data_files:
+  - split: train
+    path: data/pag_Latn/*
+- config_name: "pan_Guru"
+  data_files:
+  - split: train
+    path: data/pan_Guru/*
+- config_name: "pap_Latn"
+  data_files:
+  - split: train
+    path: data/pap_Latn/*
+- config_name: "pbt_Arab"
+  data_files:
+  - split: train
+    path: data/pbt_Arab/*
+- config_name: "pes_Arab"
+  data_files:
+  - split: train
+    path: data/pes_Arab/*
+- config_name: "plt_Latn"
+  data_files:
+  - split: train
+    path: data/plt_Latn/*
+- config_name: "pol_Latn"
+  data_files:
+  - split: train
+    path: data/pol_Latn/*
+- config_name: "por_Latn"
+  data_files:
+  - split: train
+    path: data/por_Latn/*
+- config_name: "prs_Arab"
+  data_files:
+  - split: train
+    path: data/prs_Arab/*
+- config_name: "quy_Latn"
+  data_files:
+  - split: train
+    path: data/quy_Latn/*
+- config_name: "ron_Latn"
+  data_files:
+  - split: train
+    path: data/ron_Latn/*
+- config_name: "run_Latn"
+  data_files:
+  - split: train
+    path: data/run_Latn/*
+- config_name: "rus_Cyrl"
+  data_files:
+  - split: train
+    path: data/rus_Cyrl/*
+- config_name: "sag_Latn"
+  data_files:
+  - split: train
+    path: data/sag_Latn/*
+- config_name: "scn_Latn"
+  data_files:
+  - split: train
+    path: data/scn_Latn/*
+- config_name: "sin_Sinh"
+  data_files:
+  - split: train
+    path: data/sin_Sinh/*
+- config_name: "slk_Latn"
+  data_files:
+  - split: train
+    path: data/slk_Latn/*
+- config_name: "slv_Latn"
+  data_files:
+  - split: train
+    path: data/slv_Latn/*
+- config_name: "smo_Latn"
+  data_files:
+  - split: train
+    path: data/smo_Latn/*
+- config_name: "sna_Latn"
+  data_files:
+  - split: train
+    path: data/sna_Latn/*
+- config_name: "snd_Arab"
+  data_files:
+  - split: train
+    path: data/snd_Arab/*
+- config_name: "som_Latn"
+  data_files:
+  - split: train
+    path: data/som_Latn/*
+- config_name: "sot_Latn"
+  data_files:
+  - split: train
+    path: data/sot_Latn/*
+- config_name: "spa_Latn"
+  data_files:
+  - split: train
+    path: data/spa_Latn/*
+- config_name: "srd_Latn"
+  data_files:
+  - split: train
+    path: data/srd_Latn/*
+- config_name: "srp_Cyrl"
+  data_files:
+  - split: train
+    path: data/srp_Cyrl/*
+- config_name: "sun_Latn"
+  data_files:
+  - split: train
+    path: data/sun_Latn/*
+- config_name: "swe_Latn"
+  data_files:
+  - split: train
+    path: data/swe_Latn/*
+- config_name: "swh_Latn"
+  data_files:
+  - split: train
+    path: data/swh_Latn/*
+- config_name: "szl_Latn"
+  data_files:
+  - split: train
+    path: data/szl_Latn/*
+- config_name: "tam_Taml"
+  data_files:
+  - split: train
+    path: data/tam_Taml/*
+- config_name: "tat_Cyrl"
+  data_files:
+  - split: train
+    path: data/tat_Cyrl/*
+- config_name: "tel_Telu"
+  data_files:
+  - split: train
+    path: data/tel_Telu/*
+- config_name: "tgk_Cyrl"
+  data_files:
+  - split: train
+    path: data/tgk_Cyrl/*
+- config_name: "tgl_Latn"
+  data_files:
+  - split: train
+    path: data/tgl_Latn/*
+- config_name: "tha_Thai"
+  data_files:
+  - split: train
+    path: data/tha_Thai/*
+- config_name: "tir_Ethi"
+  data_files:
+  - split: train
+    path: data/tir_Ethi/*
+- config_name: "tpi_Latn"
+  data_files:
+  - split: train
+    path: data/tpi_Latn/*
+- config_name: "tuk_Latn"
+  data_files:
+  - split: train
+    path: data/tuk_Latn/*
+- config_name: "tur_Latn"
+  data_files:
+  - split: train
+    path: data/tur_Latn/*
+- config_name: "twi_Latn"
+  data_files:
+  - split: train
+    path: data/twi_Latn/*
+- config_name: "uig_Arab"
+  data_files:
+  - split: train
+    path: data/uig_Arab/*
+- config_name: "ukr_Cyrl"
+  data_files:
+  - split: train
+    path: data/ukr_Cyrl/*
+- config_name: "urd_Arab"
+  data_files:
+  - split: train
+    path: data/urd_Arab/*
+- config_name: "uzn_Latn"
+  data_files:
+  - split: train
+    path: data/uzn_Latn/*
+- config_name: "vec_Latn"
+  data_files:
+  - split: train
+    path: data/vec_Latn/*
+- config_name: "vie_Latn"
+  data_files:
+  - split: train
+    path: data/vie_Latn/*
+- config_name: "wol_Latn"
+  data_files:
+  - split: train
+    path: data/wol_Latn/*
+- config_name: "xho_Latn"
+  data_files:
+  - split: train
+    path: data/xho_Latn/*
+- config_name: "ydd_Hebr"
+  data_files:
+  - split: train
+    path: data/ydd_Hebr/*
+- config_name: "yor_Latn"
+  data_files:
+  - split: train
+    path: data/yor_Latn/*
+- config_name: "yue_Hant"
+  data_files:
+  - split: train
+    path: data/yue_Hant/*
+- config_name: "zho_Hans"
+  data_files:
+  - split: train
+    path: data/zho_Hans/*
+- config_name: "zho_Hant"
+  data_files:
+  - split: train
+    path: data/zho_Hant/*
+- config_name: "zsm_Latn"
+  data_files:
+  - split: train
+    path: data/zsm_Latn/*
+- config_name: "zul_Latn"
+  data_files:
+  - split: train
+    path: data/zul_Latn/*
+---
+
+More info can be found here: https://oscar-project.github.io/documentation/versions/mOSCAR/
+
+Paper link: https://arxiv.org/abs/2406.08707
+
+**New features:**
+- Additional filtering steps were applied to remove toxic content (more details in the next version of the paper, coming soon).
+- Spanish split is now complete.
+- Face detection in images to blur them once downloaded (coordinates are reported on images of size 256 respecting aspect ratio).
+- Additional language identification of the documents to improve document-language matching.
+- Replace most of Personal Identifiable Information by generic strings.
+
+Previous version remains available, to continue using it:
+```
+dataset = load_dataset("oscar-corpus/mOSCAR", revision="v1")
+```
+
+# Layout
+```
+{
+    'images': [{'img_idx': '#000002',
+                'sha512': '65c1e5605d48f8753256f758bd442cbdd43e6987691227b1ea6b81430ff36609f46d448c8171546232fe0c258d9e44ce4378f32e8ada5c43c314df5a5e230de2',
+                'url': 'https://actuconsommation.fr/wp-content/uploads/2020/05/Disneylands-Japon-1068x712.jpg',
+                'faces_loc': [x0, y0, x1, y1]}],
+    'metadata': [{'node_order': 'img_#000002|txt_#000000|txt_#000001|txt_#000002|txt_#000003|txt_#000004|txt_#000005|txt_#000006|txt_#000009',
+                  'url': 'https://actuconsommation.fr/2020/05/11/disneyland-une-reouverture-sous-haute-securite-a-shanghai-ce-lundi/'}],
+    'text': [{'text': 'Disneyland : une réouverture sous haute sécurité à Shanghai ce lundi', 'text_idx': '#000000'},
+             {'text': 'Des milliers de visiteurs ont pu pénétrer lundi dans le Disneyland de Shanghai, le premier des six parcs de [...]', text_idx': '#000001'},
+             [...] ]
+}
+```
+
+# Citation
+```
+@article{futeral2024moscar,
+  title={mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus},
+  author={Futeral, Matthieu and Zebaze, Armel and Suarez, Pedro Ortiz and Abadji, Julien and Lacroix, R{\'e}mi and Schmid, Cordelia and Bawden, Rachel and Sagot, Beno{\^\i}t},
+  journal={arXiv preprint arXiv:2406.08707},
+  year={2024}
+}
+```

artifacts/hf_readmes/pelcra__PLLuMIC__README.md

@@ -0,0 +1,174 @@
+---
+license: cc-by-sa-4.0
+task_categories:
+- text-generation
+language:
+- pl
+tags:
+- llm
+- sft
+- fine-tuning
+pretty_name: PLLuM Instruction Corpus
+size_categories:
+- 1K<n<10K
+---
+
+# Dataset Card for PLLuMIC
+
+PLLuMIC - Polish Large Language Model (PLLuM) Instruction Corpus
+
+## Dataset Details
+
+### Dataset Description
+
+We release the first representative subset of the PLLuM Instruction Corpus (PLLuMIC), which we believe to be useful in guiding and planning the development of similar LLM datasets. PLLuMIC is a hand-crafted set of LLM fine-tuning Polish language instructions, developed in line with the annotation guidelines and covering a functional typology. Each instruction is designed to be unique in some way - no two samples, especially within given subtype, are the same. Every single row provides a new insight into the dataset, making the corpus ideal for extensive analysis. The methodology is described in more detail in a paper titled The PLLuM Instruction Corpus (link below). We plan regular updates and significant extensions of the corpus.
+
+
+- **Curated by:** PELCRA (Polish and English Language Corpora for Research and Applications) Team
+- **Language(s) (NLP):** Polish
+- **License:** CC-BY-SA-4.0
+
+### Dataset Sources
+
+- **Paper:** https://arxiv.org/abs/2511.17161
+
+## Uses
+
+### Direct Use
+
+We believe the dataset to be useful in guiding and planning the development of similar, bigger, LLM datasets. This first sample is designed to be a representative guidance, on how to properly structure and build your own dataset.
+
+It is also a great foundation for synthetic extensions that will combine high quality, diversity and scale. We are currently working on such corpus extension ourselves and are planning to make it available alongside this organic component.
+
+### Out-of-Scope Use
+
+Current scale of the dataset will not be sufficient to perform a full LLM fine-tuning. However, with only 10k synthetic samples that are based around the corpus, one can already expect very interesting results. We will provide more details (and data) on that topic in future updates.
+
+## Dataset Structure
+
+### Statistics
+
+**Total instructions:** 1,278
+
+All instructions were annotated by professional annotators. Each sample was developed in accordance with comprehensive annotation guidelines and subsequently reviewed by a senior annotator to ensure full compliance with quality standards. The annotation process followed a functional typology designed to encompass key areas of model competence.
+
+There are both single-turn and multi-turn instructions available.
+
+#### Type & Thematic distributions
+
+<table>
+  <tr>
+    <td>
+
+| Type | Number of samples |
+|---|---|
+| Generation | 392 |
+| Adversarial | 125 |
+| Dialogue | 124 |
+| NLP | 102 |
+| Data manipulation | 88 |
+| Formatting | 87 |
+| Knowledge (QA) | 80 |
+| Extraction | 71 |
+| Identity | 68 |
+| Translation | 61 |
+| CoT | 50 |
+| Programming | 30 |
+
+</td>
+<td>
+
+| Topic | Number of samples |
+|---|---|
+| Languages | 185 |
+| Society | 169 |
+| Computer science | 163 |
+| Technology | 87 |
+| Entertainment | 85 |
+| Biology | 78 |
+| Other | 73 |
+| Home | 60 |
+| Geography | 59 |
+| Culture | 55 |
+| Culinary | 52 |
+| Literature | 50 |
+| History | 48 |
+| Politics | 42 |
+| Medicine | 36 |
+| Law and administration | 31 |
+| Sports | 26 |
+| Travel | 25 |
+| Industry | 20 |
+| Economy | 19 |
+| Psychology | 19 |
+| Mathematics | 15 |
+| Art | 14 |
+| Physics | 8 |
+| Chemistry | 7 |
+| Religion | 7 |
+| Automotive | 6 |
+| Philosophy | 5 |
+| Astronomy | 5 |
+| Ecology | 4 |
+| Hobby | 4 |
+
+</td>
+  </tr>
+</table>
+
+### Data format explanation
+
+The PLLuMIC dataset is distributed as a JSON file storing rows with conversations between a user and an AI assistant. Each conversation is a JSON structure described by following fields:
+
+#### Top-Level Fields
+- dataset_name: Name of the dataset (PLLuMIC).
+- dataset_source: Source organization (CLARIN-BIZ-bis).
+- conv_id: Unique identifier for the conversation (3242183cbce2).
+- messages: Array of dialogue messages (user/assistant/system exchanges).
+
+#### Message Object Fields
+Each entry in messages contains:
+
+- instruction_id: Unique ID for the instruction/task (2a07c2eca0cb).
+- seq: Sequence number (-1 for system, 0,1,2,… for user/assistant turns).
+- role: Speaker role (system, user, or assistant).
+- content: Text of the message (empty for some system prompts).
+- type: Interaction type (e.g., Dialog, Generation).
+- subtype: List of task subtype (e.g., [System prompt, Text simplification]).
+- topic: List of relevant topics (e.g., [Geography]).
+- language: Language code (e.g., pol for Polish).
+- source: References (e.g., Wikipedia URLs).
+
+## Dataset Creation
+
+### Curation Rationale
+
+Most instruction-tuning datasets for LLMs are either private or poorly documented, making it hard to understand how models are trained or to build comparable resources. Even when public, such datasets often mix data from many sources without clear structure or balance.
+
+There’s also little research on how different instruction types shape model behavior, and while distilling data from strong LLMs is common, it doesn’t always transfer well across languages and cultures.
+
+That’s why we created this dataset — to offer a transparent, well-documented, and balanced resource for instruction tuning, designed with linguistic and cultural diversity in mind. The results and findings are well-described in the paper linked above.
+
+### Annotation
+
+#### Annotation process
+
+All instructions were annotated by professional annotators. Each sample was developed in accordance with comprehensive annotation guidelines and subsequently reviewed by a senior annotator to ensure full compliance with quality standards. The annotation process followed a functional typology designed to encompass key areas of model competence.
+
+#### Who are the annotators?
+
+All annotators (over 50 in total) were university graduates, with at least a bachelor’s or master’s degree in linguistics or other humanities with the exception of technical instructions annotators who had a university degree in computer science. All of the super-annotators had a PhD degree.
+
+## Citation
+
+```bibtex
+@misc{pęzik2025plluminstructioncorpus,
+      title={The PLLuM Instruction Corpus}, 
+      author={Piotr Pęzik and Filip Żarnecki and Konrad Kaczyński and Anna Cichosz and Zuzanna Deckert and Monika Garnys and Izabela Grabarczyk and Wojciech Janowski and Sylwia Karasińska and Aleksandra Kujawiak and Piotr Misztela and Maria Szymańska and Karolina Walkusz and Igor Siek and Maciej Chrabąszcz and Anna Kołos and Agnieszka Karlińska and Karolina Seweryn and Aleksandra Krasnodębska and Paula Betscher and Zofia Cieślińska and Katarzyna Kowol and Artur Wilczek and Maciej Trzciński and Katarzyna Dziewulska and Roman Roszko and Tomasz Bernaś and Jurgita Vaičenonienė and Danuta Roszko and Paweł Levchuk and Paweł Kowalski and Irena Prawdzic-Jankowska and Marek Kozłowski and Sławomir Dadas and Rafał Poświata and Alina Wróblewska and Katarzyna Krasnowska-Kieraś and Maciej Ogrodniczuk and Michał Rudolf and Piotr Rybak and Karolina Saputa and Joanna Wołoszyn and Marcin Oleksy and Bartłomiej Koptyra and Teddy Ferdinan and Stanisław Woźniak and Maciej Piasecki and Paweł Walkowiak and Konrad Wojtasik and Arkadiusz Janz and Przemysław Kazienko and Julia Moska and Jan Kocoń},
+      year={2025},
+      eprint={2511.17161},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2511.17161}, 
+}
+```

artifacts/hf_readmes/ptaszynski__PolishCyberbullyingDataset__README.md

@@ -0,0 +1,51 @@
+---
+license: cc-by-4.0
+language:
+- pl
+tags:
+- cyberbullying
+- hate-speech
+pretty_name: PolishCyberbullyingDataset
+---
+
+# Expert-annotated dataset to study cyberbullying in Polish language
+
+This the first publically available expert-annotated dataset containing annotations of cyberbullying and hate-speech in Polish language.
+
+Please, read [the paper](https://www.mdpi.com/2306-5729/9/1/1) about the dataset for all necessary details.
+
+## Model
+The classification model which achieved the highest classification results for the dataset is also released under the following URL.
+[Polbert-CB - Polish BERT trained for Automatic Cyberbullying Detection](https://huggingface.co/ptaszynski/bert-base-polish-cyberbullying)
+
+## Citations
+Whenever you use the dataset, please, cite it using the following citation to [the paper](https://www.mdpi.com/2306-5729/9/1/1). 
+```
+@article{ptaszynski2023expert,
+  title={Expert-Annotated Dataset to Study Cyberbullying in Polish Language},
+  author={Ptaszynski, Michal and Pieciukiewicz, Agata and Dybala, Pawel and Skrzek, Pawel and Soliwoda, Kamil and Fortuna, Marcin and Leliwa, Gniewosz and Wroczynski, Michal},
+  journal={Data},
+  volume={9},
+  number={1},
+  pages={1},
+  year={2023},
+  publisher={MDPI}
+}
+```
+
+## Licences
+The dataset is licensed under [CC BY 4.0](http://creativecommons.org/licenses/by/4.0/), or Creative Commons Attribution 4.0 International License.
+
+<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a>
+
+
+## Bundle
+
+The whole bundle containing (1) the old version of the dataset, (2) current version of the dataset, as well as (3) the model trained on this dataset can be found on [Zenodo](https://zenodo.org/records/7188178). 
+
+## Author
+Michal Ptaszynski - contact me on:
+- Twitter: [@mich_ptaszynski](https://twitter.com/mich_ptaszynski)
+- GitHub: [ptaszynski](https://github.com/ptaszynski)
+- LinkedIn: [michalptaszynski](https://jp.linkedin.com/in/michalptaszynski)
+- HuggingFace: [ptaszynski](https://huggingface.co/ptaszynski)

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+    },
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+      "type": "Dataset"
+    }
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+    "maintainer/legal review of catalogue-level license scope",
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+  ],
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+    },
+    {
+      "id": "protocol:contract-v1",
+      "procedure": "schema, checksum, sample, rights-evidence and ontology contract checks"
+    },
+    {
+      "id": "protocol:pii-rescrub-v1",
+      "procedure": "src/clean_kultura_bez_barier_pl.py: the builder's second PII pass (ted_pl patterns) applied to the published text; token counts, attribution text hashes, sample, stats and qa recomputed"
+    },
+    {
+      "id": "protocol:licence-basis-v1",
+      "procedure": "src/licence_basis_kultura_bez_barier_pl.py: the reviewed drops applied, licence_basis per kept record from the printed licence line or the catalogue listing; Parquet, sidecar, sample, stats, evidence file and manifest recomputed"
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+      "success": true
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+      "success": true
+    }
+  ],
+  "schema": "slayer-research-ontology-profile-v1",
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+      "object": "object:dataset:kultura-bez-barier-pl"
+    }
+  ]
+}

artifacts/open_agh_chemistry_pl_ontology_manifest.json

@@ -0,0 +1,677 @@
+{
+  "actors": [
+    {
+      "id": "agent:codex",
+      "identity": "OpenAI Codex",
+      "kind": "agent"
+    },
+    {
+      "id": "hf:PiotrSty",
+      "identity": "Piotr Styla",
+      "kind": "human"
+    },
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+      "id": "org:agh",
+      "identity": "AGH University of Krakow and credited authors",
+      "kind": "organization"
+    }
+  ],
+  "attestations": [
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+      "created_at": "2026-09-05T20:34:12.482947+00:00",
+      "id": "slayer://attestation/open_agh_chemistry_pl@sha256:beb17587bab7af78f36c312cf39d9f97c641ff31e6962807ebf57fd5aab48509",
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+      "supported_by": [
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+      ],
+      "type": "cross_source_deduplication",
+      "value": "pending_target_integration"
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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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+      "statement": "A dedicated AGH registration/proposal was not identified in the audited registry and discussion titles; textual novelty remains untested.",
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+      "created_by": "agent:codex",
+      "digest": "sha256:d0b520f9362257cbe189385f37c94250912d799cf1886c54cf69473e4aba3ee2",
+      "id": "slayer://version/protocol/open_agh_chemistry_pl@sha256:d0b520f9362257cbe189385f37c94250912d799cf1886c54cf69473e4aba3ee2",
+      "object_id": "slayer://object/protocol/open_agh_chemistry_pl",
+      "payload_uri": "hf://datasets/PiotrSty/open-agh-chemistry-pl@07d38bfdb3c9ac961f0aed380195cada1871d53b/src/build_open_agh_pl.py"
+    }
+  },
+  "relations": [
+    {
+      "introduced_by_run": "slayer://run/open_agh_chemistry_pl@sha256:81a4f8f14792b444efebabd65610ed4392b51400570baa7f1bf242271f62e0c7",
+      "predicate": "DERIVED_FROM",
+      "source_version_id": "slayer://version/dataset-source/open_agh_chemistry_pl@sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01",
+      "target_version_id": "slayer://version/source-snapshot/open_agh_chemistry_pl@sha256:ec845dbced84e58b11acf5498c9874e8a81dafde7cac0643bfe70d823916e4c2"
+    },
+    {
+      "introduced_by_run": "slayer://run/open_agh_chemistry_pl@sha256:81a4f8f14792b444efebabd65610ed4392b51400570baa7f1bf242271f62e0c7",
+      "predicate": "FILTERED_BY",
+      "source_version_id": "slayer://version/dataset-source/open_agh_chemistry_pl@sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01",
+      "target_version_id": "slayer://version/protocol/open_agh_chemistry_pl@sha256:d0b520f9362257cbe189385f37c94250912d799cf1886c54cf69473e4aba3ee2"
+    },
+    {
+      "introduced_by_run": "slayer://run/open_agh_chemistry_pl/validation@sha256:8318d12edb019c89cc5e7b2fc9cb4c1adad0c545b54e02a1eceb85497a94017b",
+      "predicate": "VALIDATED_AGAINST",
+      "source_version_id": "slayer://version/dataset-source/open_agh_chemistry_pl@sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01",
+      "target_version_id": "slayer://version/validation-protocol/open_agh_chemistry_pl@sha256:df8399ba03d287d103de612c96fe0a794b067b0c048cb0f28fe95efdeca6d00b"
+    },
+    {
+      "introduced_by_run": "slayer://run/open_agh_chemistry_pl@sha256:81a4f8f14792b444efebabd65610ed4392b51400570baa7f1bf242271f62e0c7",
+      "predicate": "COMPATIBLE_WITH",
+      "source_version_id": "slayer://version/dataset-source/open_agh_chemistry_pl@sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01",
+      "target_version_id": "hf://datasets/SlayerLab/polish-dynaword@a916edecabc2be8832e08fb2bd9dfafcc1d2dd71"
+    }
+  ],
+  "run": {
+    "actor_id": "agent:codex",
+    "code_sha256": "ee011e779426c538e57dafba4d65c6e715c6e66598500351be863cfb8acc5cd3",
+    "finished_at": "2026-09-05T20:34:12.482947+00:00",
+    "id": "slayer://run/open_agh_chemistry_pl@sha256:81a4f8f14792b444efebabd65610ed4392b51400570baa7f1bf242271f62e0c7",
+    "input_sha256": "58821645a52720120ea974a51dcbb298d862357abae5777df2dc55444d8de37e",
+    "inputs": [
+      "slayer://version/source-snapshot/open_agh_chemistry_pl@sha256:ec845dbced84e58b11acf5498c9874e8a81dafde7cac0643bfe70d823916e4c2"
+    ],
+    "outputs": [
+      "slayer://version/dataset-source/open_agh_chemistry_pl@sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01"
+    ],
+    "packages": {
+      "beautifulsoup4": "4.14.3",
+      "datasketch": "1.6.5",
+      "langid": "1.1.6",
+      "pyarrow": "23.0.1",
+      "requests": "2.32.5",
+      "tiktoken": "0.12.0"
+    },
+    "protocol_version_id": "slayer://version/protocol/open_agh_chemistry_pl@sha256:d0b520f9362257cbe189385f37c94250912d799cf1886c54cf69473e4aba3ee2",
+    "python": "3.11.9",
+    "requested_by": "hf:PiotrSty",
+    "started_at": "2026-09-05T20:34:03.433690+00:00"
+  },
+  "schema_version": "slayer.ai/dataset-source-contribution/v1",
+  "source_object": {
+    "id": "slayer://object/source-snapshot/open_agh_chemistry_pl",
+    "kind": "source_snapshot"
+  },
+  "source_version": {
+    "components": {
+      "artifacts/books.json": "a6d5e10d4be8d3905b7d62a2dcae4cc1521783c61167653758d4c3da88420309",
+      "artifacts/modules.jsonl.gz": "cc8d5a1d0aba19d111ce8609f6d379d308f41f9e1a33a2dedbd170f34098281f"
+    },
+    "created_at": "2026-09-05T20:34:12.482947+00:00",
+    "created_by": "agent:codex",
+    "digest": "sha256:ec845dbced84e58b11acf5498c9874e8a81dafde7cac0643bfe70d823916e4c2",
+    "id": "slayer://version/source-snapshot/open_agh_chemistry_pl@sha256:ec845dbced84e58b11acf5498c9874e8a81dafde7cac0643bfe70d823916e4c2",
+    "inventory_uri": "hf://datasets/PiotrSty/open-agh-chemistry-pl@07d38bfdb3c9ac961f0aed380195cada1871d53b/artifacts/books.json",
+    "object_id": "slayer://object/source-snapshot/open_agh_chemistry_pl",
+    "payload_uri": "hf://datasets/PiotrSty/open-agh-chemistry-pl@07d38bfdb3c9ac961f0aed380195cada1871d53b/artifacts/modules.jsonl.gz"
+  },
+  "validation_protocol": {
+    "description": "checksum/schema/coverage/source-text replay/per-record token and author validation",
+    "id": "slayer://object/validation-protocol/open_agh_chemistry_pl",
+    "kind": "protocol",
+    "version": {
+      "created_at": "2026-09-05T20:34:12.482947+00:00",
+      "created_by": "agent:codex",
+      "digest": "sha256:df8399ba03d287d103de612c96fe0a794b067b0c048cb0f28fe95efdeca6d00b",
+      "id": "slayer://version/validation-protocol/open_agh_chemistry_pl@sha256:df8399ba03d287d103de612c96fe0a794b067b0c048cb0f28fe95efdeca6d00b",
+      "object_id": "slayer://object/validation-protocol/open_agh_chemistry_pl",
+      "payload_uri": "hf://datasets/PiotrSty/open-agh-chemistry-pl@07d38bfdb3c9ac961f0aed380195cada1871d53b/src/publish_open_agh_pl.py"
+    }
+  },
+  "validation_run": {
+    "actor_id": "agent:codex",
+    "code_sha256": "8e8de96b2b4248f3ca96ffd8884a2086764d3e9e5a8304ae1ff89e8747be0dd2",
+    "dataset_checksums_sha256": "cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01",
+    "finished_at": "2026-09-05T20:34:49.372576+00:00",
+    "id": "slayer://run/open_agh_chemistry_pl/validation@sha256:8318d12edb019c89cc5e7b2fc9cb4c1adad0c545b54e02a1eceb85497a94017b",
+    "inputs": [
+      "slayer://version/dataset-source/open_agh_chemistry_pl@sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01"
+    ],
+    "outputs": [
+      "slayer://evidence/open_agh_chemistry_pl/validation@sha256:8318d12edb019c89cc5e7b2fc9cb4c1adad0c545b54e02a1eceb85497a94017b"
+    ],
+    "protocol": "checksum/schema/coverage/source-text replay/per-record token and author validation",
+    "protocol_version_id": "slayer://version/validation-protocol/open_agh_chemistry_pl@sha256:df8399ba03d287d103de612c96fe0a794b067b0c048cb0f28fe95efdeca6d00b",
+    "started_at": "2026-09-05T20:34:44.456270+00:00",
+    "success": true,
+    "verified_records": 370,
+    "verified_tokens": 564028
+  },
+  "version": {
+    "created_at": "2026-09-05T20:34:12.482947+00:00",
+    "created_by": "agent:codex",
+    "digest": "sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01",
+    "id": "slayer://version/dataset-source/open_agh_chemistry_pl@sha256:cdd9d3c40e791bb73b9f5a025bf717094db9a421fb6cd120f3ec44fd46f02b01",
+    "object_id": "slayer://object/dataset-source/open_agh_chemistry_pl",
+    "payload_uri": "hf://datasets/PiotrSty/open-agh-chemistry-pl@07d38bfdb3c9ac961f0aed380195cada1871d53b/data/train-00000-of-00001.parquet"
+  }
+}

artifacts/open_icm_pl_ontology_manifest.json

@@ -0,0 +1,190 @@
+{
+  "actors": [
+    {
+      "id": "actor:piotrsty",
+      "type": "Contributor"
+    },
+    {
+      "id": "actor:icm-uw",
+      "type": "Organization"
+    },
+    {
+      "id": "actor:codex",
+      "type": "Agent"
+    }
+  ],
+  "claims": [
+    {
+      "falsification_condition": "The pinned Parquet, decisions or overlap report do not reproduce these counts.",
+      "id": "claim:open-icm-target-retention",
+      "statement": "The proposed DynaWord slice contains 11 records: 95 passed source QA, 10 exact title/DOI overlaps were excluded and 74 were dropped in the licence review (v2#111).",
+      "supported_by": [
+        "evidence:open-icm-target-stats:fc039f1bf9f46d3962e312f3969e8252b8b39ded2e99442fb0209612ff3918cd",
+        "evidence:open-icm-target-overlap:c05fccedde6965de8dcaf62fd1233fe3fa77cdd105c426f9f6d5474684303a61"
+      ]
+    },
+    {
+      "falsification_condition": "Target-wide text deduplication and controlled ablations establish those properties.",
+      "id": "claim:open-icm-training-value-untested",
+      "statement": "Net text novelty and training benefit remain untested hypotheses.",
+      "supported_by": [
+        "evidence:open-icm-target-overlap:c05fccedde6965de8dcaf62fd1233fe3fa77cdd105c426f9f6d5474684303a61"
+      ]
+    },
+    {
+      "falsification_condition": "The pinned sidecar, review table or publisher check do not reproduce these bases, or a publisher page read on that day states another licence.",
+      "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": [
+        "evidence:open-icm-licence-basis-files:14b088b7dccba5d75098ebee13712997aecc231df9619789b4b746cf9a571016"
+      ]
+    }
+  ],
+  "evidence": [
+    {
+      "artifact": "data/open_icm_pl/open_icm_pl.stats.json",
+      "content_address": "49bfaa6003187e9089ef804aa5ca1bd196bf75925443fab1f352fe0cef19ea0c",
+      "id": "evidence:open-icm-target-stats:49bfaa6003187e9089ef804aa5ca1bd196bf75925443fab1f352fe0cef19ea0c",
+      "observation_type": "target_slice_counts",
+      "produced_by": "run:open-icm-dynaword-integration:49bfaa6003187e9089ef804aa5ca1bd196bf75925443fab1f352fe0cef19ea0c"
+    },
+    {
+      "artifact": "data/open_icm_pl/open_icm_pl.overlap_audit.json",
+      "content_address": "c05fccedde6965de8dcaf62fd1233fe3fa77cdd105c426f9f6d5474684303a61",
+      "id": "evidence:open-icm-target-overlap:c05fccedde6965de8dcaf62fd1233fe3fa77cdd105c426f9f6d5474684303a61",
+      "observation_type": "metadata_overlap_audit",
+      "produced_by": "run:open-icm-dynaword-integration:49bfaa6003187e9089ef804aa5ca1bd196bf75925443fab1f352fe0cef19ea0c"
+    },
+    {
+      "artifact": "data/open_icm_pl/open_icm_pl.stats.json",
+      "content_address": "fc039f1bf9f46d3962e312f3969e8252b8b39ded2e99442fb0209612ff3918cd",
+      "id": "evidence:open-icm-target-stats:fc039f1bf9f46d3962e312f3969e8252b8b39ded2e99442fb0209612ff3918cd",
+      "observation_type": "target_slice_counts",
+      "produced_by": "run:open-icm-licence-basis:cac1f127d9ed0a35c0a39fcb3dfade7ee7a3387274eab224fb0add3894352777"
+    },
+    {
+      "id": "evidence:open-icm-licence-basis-files:14b088b7dccba5d75098ebee13712997aecc231df9619789b4b746cf9a571016",
+      "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

@@ -0,0 +1,275 @@
+## Phrase frequency in corpus (token-normalized)
+
+- Total token count (tiktoken proxy): **6,645,344,651**
+
+| Pattern | Count | Share of all tokens |
+|---|---:|---:|
+| `w roku` | 396,257 | 0.0060% |
+| `klasyfikacji` | 163,213 | 0.0025% |
+| `ustawa` | 592,469 | 0.0089% |
+| `artykuł` | 3,406,889 | 0.0513% |
+| `parlament` | 1,256,753 | 0.0189% |
+| `rozporządzenie` | 1,456,406 | 0.0219% |
+| `w pobliżu` | 78,762 | 0.0012% |
+| `mieszkańców` | 299,046 | 0.0045% |
+| `Dz.U.` | 957,239 | 0.0144% |
+
+### 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% |
+| `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
+| `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
+| `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
+| `dziennik_ustaw` | `artykuł` | 27,773 | 0.00571% |
+| `dziennik_ustaw` | `parlament` | 42,338 | 0.00871% |
+| `dziennik_ustaw` | `rozporządzenie` | 166,383 | 0.03423% |
+| `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` | `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% |
+| `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% |
+| `nkjp1m` | `w roku` | 109 | 0.00419% |
+| `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
+| `nkjp1m` | `ustawa` | 79 | 0.00304% |
+| `nkjp1m` | `artykuł` | 153 | 0.00588% |
+| `nkjp1m` | `parlament` | 216 | 0.00830% |
+| `nkjp1m` | `rozporządzenie` | 20 | 0.00077% |
+| `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` | 114,142 | 0.01026% |
+| `parliamentary` | `klasyfikacji` | 4,337 | 0.00039% |
+| `parliamentary` | `ustawa` | 372,690 | 0.03350% |
+| `parliamentary` | `artykuł` | 159,878 | 0.01437% |
+| `parliamentary` | `parlament` | 269,714 | 0.02424% |
+| `parliamentary` | `rozporządzenie` | 45,131 | 0.00406% |
+| `parliamentary` | `w pobliżu` | 2,088 | 0.00019% |
+| `parliamentary` | `mieszkańców` | 35,654 | 0.00320% |
+| `parliamentary` | `Dz.U.` | 1,365 | 0.00012% |
+| `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 | 0.00964% |
+| `sejm_api_2011_2022` | `klasyfikacji` | 50 | 0.00019% |
+| `sejm_api_2011_2022` | `ustawa` | 8,936 | 0.03325% |
+| `sejm_api_2011_2022` | `artykuł` | 1,079 | 0.00401% |
+| `sejm_api_2011_2022` | `parlament` | 11,246 | 0.04184% |
+| `sejm_api_2011_2022` | `rozporządzenie` | 691 | 0.00257% |
+| `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% |
+| `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% |
+
+![Overall pattern counts](artifacts/pattern_frequency_overall.png)
+
+![w roku by source](artifacts/pattern_frequency_w_roku.png)
+![klasyfikacji by source](artifacts/pattern_frequency_klasyfikacji.png)
+![ustawa by source](artifacts/pattern_frequency_ustawa.png)
+![artykuł by source](artifacts/pattern_frequency_artykul.png)
+![parlament by source](artifacts/pattern_frequency_parlament.png)
+![rozporządzenie by source](artifacts/pattern_frequency_rozporządzenie.png)
+![w pobliżu by source](artifacts/pattern_frequency_w_pobliżu.png)
+![mieszkańców by source](artifacts/pattern_frequency_mieszkańców.png)
+![Dz.U. by source](artifacts/pattern_frequency_dzu.png)

artifacts/plwiki_talk_ontology_manifest.json

@@ -0,0 +1,128 @@
+{
+  "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

@@ -0,0 +1,128 @@
+{
+  "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"
+    }
+  ]
+}

artifacts/rights_audit_2026-10/REVIEW.html

@@ -0,0 +1,849 @@
+<title>Dynaword Rights Audit</title>
+<link rel="preconnect" href="https://fonts.googleapis.com">
+<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Sans+Condensed:wght@500;600&family=IBM+Plex+Sans:ital,wght@0,400;0,600;1,400&family=IBM+Plex+Mono:wght@400;500&display=swap">
+<style>
+/* Layout: one reading column with a full-width register table; sources as ruled dossier entries grouped by tier. */
+:root{
+  --bg:#f6f7f8; --surface:#ffffff; --fg:#1b2129; --muted:#5b6573; --rule:#d9dee4; --accent:#1f5f8b;
+  --hplt:#a3261b; --hplt-bg:#fbe9e7; --part:#9a5b00; --part-bg:#fdf1dc; --minor:#2d5b88; --minor-bg:#e6eef7; --clean:#2a6b3f; --clean-bg:#e4f2e8;
+  --code-bg:#eef1f4;
+  --f-display:"IBM Plex Sans Condensed","Arial Narrow",system-ui,sans-serif;
+  --f-body:"IBM Plex Sans",system-ui,-apple-system,"Segoe UI",sans-serif;
+  --f-mono:"IBM Plex Mono",ui-monospace,SFMono-Regular,Menlo,monospace;
+}
+@media (prefers-color-scheme: dark){:root:not([data-theme="light"]){
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+  --code-bg:#232b34; color-scheme:dark}}
+:root[data-theme="dark"]{
+  --bg:#12161b; --surface:#1a2027; --fg:#e3e8ee; --muted:#9aa5b2; --rule:#2c3540; --accent:#7fb6dd;
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+  --code-bg:#232b34; color-scheme:dark}
+*{box-sizing:border-box}
+body{background:var(--bg);color:var(--fg);font:15px/1.6 var(--f-body);padding:0 16px}
+.wrap{max-width:980px;margin:0 auto;padding-block:40px 80px;display:flex;flex-direction:column;gap:40px}
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+h1,h2,h3{font-family:var(--f-display);text-wrap:balance;line-height:1.2;margin:0}
+h1{font-size:2.1rem;font-weight:600}
+h2{font-size:1.45rem;font-weight:600;padding-bottom:6px;border-bottom:2px solid var(--fg)}
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+a{color:var(--accent)}
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+code,.mono{font-family:var(--f-mono);font-size:.86em}
+code{background:var(--code-bg);padding:1px 4px;border-radius:3px;overflow-wrap:anywhere}
+ul,ol{margin:0;padding-left:1.3em;display:flex;flex-direction:column;gap:4px}
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+.decide li{padding-left:2px}
+.decide input{margin-right:8px;accent-color:var(--accent)}
+@media (max-width:700px){.grid{grid-template-columns:1fr} h1{font-size:1.7rem}}
+@media (prefers-reduced-motion:reduce){*{scroll-behavior:auto}}
+</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

@@ -0,0 +1,19 @@
+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

@@ -0,0 +1,19 @@
+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())