Withdraw wikisource: one CC BY-SA label over mixed per-page licences

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

@@ -203,15 +203,13 @@ scrap(e|ing) | automated (access|means) | bulk download
 
 ## Withdrawal pattern
 
-As done for HPLT (`european_hplt_v3_pl`, removed from main on 2026-09-16):
+As done for HPLT (Hub commits 23e883a, 1802420, bade8e7):
 
 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.
+   `release` value (`european_hplt_v3_pl` still says `"0.2.3"`).
 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.
+4. Run `python3 src/verify_paper_claims.py` (token and source counts).
 5. `make_docs.py` skips sources with no data, so regenerated release totals undercount; see AGENTS.md
    "Known drift" before touching the README tables.
 

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

@@ -33,7 +33,7 @@ primary text. Read the statute on ISAP/ELI before quoting an article in a datash
   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.
+  need per-record evidence and the third-party carve-out in the datasheet. Not signed off by a lawyer.
 
 ## Open Data Act (reuse of public-sector information)
 
@@ -67,10 +67,8 @@ Text: `https://eli.gov.pl/api/acts/DU/2023/1524/text.html` (per the audit report
   `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`).
+  separately address text written by member-state authorities, so cite both TED terms and the Polish
+  public-body basis (`ted_pl`, `LicenseRef-TED-Notice-Reuse`).
 
 ## Wikimedia licence versions
 

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

@@ -115,7 +115,7 @@ Verdicts below are the audit's proposals for the maintainer, not decisions.
   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
+- **wikibooks**: 24 docs (0.4% of tokens) mention GFDL, e.g. `wikibooks_2419791`, `_2419792`. GFDL-only
   text is incompatible with CC BY-SA unless dual-licensed or "or later".
 
 ## 11. Wrong public-domain claim

.gitattributes

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

AGENTS.md

@@ -10,21 +10,18 @@ review" below; agents that don't auto-discover skills must open it by path).
 
 ## How the docs are actually maintained
 
-The README is hand-written. `src/make_docs.py` refreshes only its generated
-blocks: the stable line of the header, the counts in the current version's row of
-the releases table, the Sources and Excluded tables, and Results (from
-`artifacts/pattern_frequency_hf_snippet.md`). It fails if one of those blocks is
-missing, and `src/test_make_docs.py` checks that the committed README is what it
-renders. It also writes `LICENSE`, a `CHANGELOG` stub for a new version and the
-*template* datasheets. What it does not do:
+`src/make_docs.py` is a **scaffolding/assembly helper, not a round-trip source
+of truth.** It regenerates the README source table + release totals, `LICENSE`,
+a `CHANGELOG` stub, and *template* datasheets — but it does **not** reproduce the
+committed docs on its own:
 
 - It iterates `SOURCES` in `src/sources.py`; any source in `data/` but missing
   from `SOURCES` is silently dropped from the table and totals.
 - It stamps a regenerated datasheet's "Added" with the source's `added` field,
   falling back to the global `ADDED` constant when the entry has none — so a new
   entry without `added` still gets a wrong date.
-- It does not write README narrative: the releases text, version details,
-  contributors, changes, notices and policy sections are edited by hand.
+- It cannot reproduce hand-written README narrative (audit notes, policy notes,
+  the phrase-frequency section).
 
 So datasheets and the README narrative are **hand/contributor-maintained**.
 Never run `make_docs.py` and commit the result blind — `git diff` first and
@@ -191,15 +188,11 @@ What a fetcher should do to `text` before writing the `.jsonl.zst`:
   hand-listed.
 - **Personal data**: do not keep a scrubber in this repo. Apply
   [`SlayerLab/NERGAL`](https://huggingface.co/SlayerLab/NERGAL) before the
-  parquet is written (frozen regex ∪ model; placeholders `[PII]` / `[PHONE]`,
-  and `[PERSON]` with names on). A phone mask is `[PHONE]`; the NERGAL pass
-  renames the legacy `[Telefon]`, so no shard ships it.
+  parquet is written (frozen regex ∪ model; placeholders `[PII]` / `[Telefon]`).
   Names of public officials acting in an official capacity are not PII and
   should stay — removing them would gut parliamentary and judicial sources.
   A source scrubbed some other way may still merge with `release: None`, but it
   is not admitted to a release until its shard has been re-run through NERGAL.
-  The one exception is v0.2.6, which shipped before the NERGAL pass; the pass
-  runs on every source before v0.2.7.
   Say in the datasheet which scrubber ran. Note that `main` is public on the Hub
   whether or not a source is released.
 
@@ -215,34 +208,24 @@ Two rules about all of the above:
 ## Cut the release (maintainer, one commit after the source PRs merge)
 
 0. In `src/sources.py`, set `release` on each merged source this release ships
-   (check its shard went through NERGAL first; v0.2.6 was the one exception), and
-   `removed` on each source it drops. A source is not released until its rights
-   review is recorded (see "Rights review").
-1. In `src/make_docs.py`: bump `VERSION` and `RELEASE_DATE`.
+   (check its shard went through NERGAL first). 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`. Add a row for the new
+   version to the version table and a row for each new contributor to the
+   Contributors table (both are literal rows in the template).
 2. Regenerate the phrase-frequency report and charts (registry-independent — it
    globs `data/*/*.parquet`):
    ```bash
    python3 src/pattern_frequency_report.py
    ```
-   Writes `artifacts/pattern_frequency_hf_snippet.md` + 10 PNGs; step 3 splices
-   it into the README "Results" section.
-3. Edit `README.md` by hand: add a ``| `vX.Y.Z` | stable release | 0 | 0B |`` row
-   to the stable releases table (relabel the previous one), a Contributors row
-   for each new contributor, the version details and the main block of the
-   header. Then run `python3 src/make_docs.py`: it fills in the totals, the
-   header's stable line and the Sources and Excluded tables, from the
-   per-source `stats.json` files. `git diff` the result.
-4. Append the release to `VERSIONS`, `DOCUMENTS` and `TOKENS` in
-   `src/plot_version_growth.py`, using the same stats sums as step 3. Then check the
-   paper (polish-dynaword-v2) against the tree:
-   ```bash
-   python3 src/verify_paper_claims.py --tex ../polish-dynaword-v2/main.tex --ref worktree
-   ```
-   It exits 0 once the paper describes this release. Without `--ref`, it reads
-   every repository file at the revision the paper's `\snapshot` pins.
-5. Prepend the release notes to `CHANGELOG.md` under a new `## vX.Y.Z (date)`
+   Writes `artifacts/pattern_frequency_hf_snippet.md` + 10 PNGs. Splice the tables
+   and chart embeds into the README "Results" section by hand.
+3. Update `README.md` by hand: header totals, version table, source table row,
+   Contributors row. The document/token totals must equal the sum of the
+   per-source `stats.json` files.
+4. Prepend the release notes to `CHANGELOG.md` under a new `## vX.Y.Z (date)`
    heading. History is append-only — never rewrite earlier releases.
-6. Tag the commit where the docs and the artifacts agree, and push the tag:
+5. 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
@@ -309,27 +292,10 @@ before staging. `*.parquet` is LFS-tracked; commit the pointer, not the blob.
 - `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`.
-- `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.
+- `european_hplt_v3_pl` keeps `release: "0.2.3"`, but its data was removed from
+  main after v0.2.5 (licence under review). make_docs skips it, so a README
+  regenerated from main undercounts every release from v0.2.3 on. Keep the
+  hand-written v0.2.5 table until the next release settles it.
+- make_docs computes the current release's totals from main's `stats.json`, so
+  a source rebuilt after its release (`samorzad_gov_pl` v0.2, #46) shifts the
+  regenerated v0.2.5 row away from what was tagged.

BLOGPOST.md

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

CHANGELOG.md

@@ -2,133 +2,64 @@
 
 ## Unreleased (on main)
 
-Main has the same data as v0.2.6.
-
-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, 3,394,876 documents / 7,036,938,603 cl100k-proxy tokens. v0.2.6
-ships before the NERGAL personal-data pass: only each source's own filters
-apply (see its datasheet), and the pass runs on every source before v0.2.7.
-`sejm_interpellations` and `kultura_bez_barier_pl`, both held off main, are
-not in this release (see Unreleased). The README's "Changes since v0.2.5"
-section at the `v0.2.6` tag has the per-source details.
-
-Added: 12 sources, 1,097,821 documents / 637,130,408 tokens.
-
-- `plwiki_user_talk` by Piotr Styła: 380,295 documents / 381,015,336 tokens (Hub PR #40).
-- `sejm_committee_transcripts` by Piotr Styła: 613,722 documents / 112,003,155 tokens (Hub PR #37).
-- `plwiki_talk` by Piotr Styła: 43,054 documents / 55,564,235 tokens (Hub PR #36).
-- `ted_pl` by Piotr Styła: 14,210 documents / 39,580,791 tokens (Hub PR #32;
-  rebuilt on 2026-10-22 to keep only notices whose TED buyer legal type is a
-  public authority, a body governed by public law or a public undertaking,
-  removing 1,320, and to remove 14 notices that reproduce third-party text:
-  5 sharing a textbook passage, then 9 found by a model screen of every notice,
-  two review passes per flag and a same-template search).
-- `sejm_api_2011_2022` by Piotr Styła: 33,930 documents / 26,868,517 tokens (Hub PR #18).
-- `nonsa` by Piotr Styła: 11,692 documents / 15,439,683 tokens (Hub PR #41).
-- `studia_bas` by gzawadzki (Hub PR #19, landed by Piotr Styła): 112 documents / 2,256,009 tokens (Hub PR #44).
+### v0.2.6-dev plan
+
+Sources planned for v0.2.6: on main, but no release admits them yet (`release: None` in
+`src/sources.py`). None has a recorded NERGAL pass, which is required before a
+release can admit it. Together: 15 sources, 1,285,412 documents /
+1,256,790,015 cl100k-proxy tokens.
+
+- `uzp_orzeczenia_pl` by Piotr Styła: 34,715 documents / 422,043,881 tokens (Hub PR #39).
+- `plwiki_user_talk` by Piotr Styła: 380,527 documents / 381,445,111 tokens (Hub PR #40).
+- `sejm_committee_transcripts` by Piotr Styła: 653,411 documents / 166,310,754 tokens (Hub PR #37).
+- `sejm_api_2011_2022` by Piotr Styła: 118,902 documents / 135,072,403 tokens (Hub PR #18).
+- `plwiki_talk` by Piotr Styła: 43,054 documents / 55,568,733 tokens (Hub PR #36).
+- `ted_pl` by Piotr Styła: 15,544 documents / 42,475,098 tokens (Hub PR #32).
+- `sejm_interpellations` by Paweł Puzio: 25,950 documents / 28,180,895 tokens (Hub PR #24).
+- `nonsa` by Piotr Styła: 12,304 documents / 16,883,883 tokens (Hub PR #41).
+- `open_icm_pl` by Piotr Styła: 85 documents / 2,358,174 tokens (Hub PR #34).
+- `studia_bas` by gzawadzki (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).
+- `edukacja_medialna_pl` by Piotr Styła: 252 documents / 728,987 tokens (Hub PR #26).
 - `open_agh_chemistry_pl` by Piotr Styła: 370 documents / 564,028 tokens (Hub PR #25).
-- `open_icm_pl` by Piotr Styła: 11 documents / 441,475 tokens (Hub PR #34).
-
-Changed: the 15 v0.2.5 sources kept total 2,297,055 documents / 6,399,808,195
-tokens.
+- `kultura_bez_barier_pl` by Piotr Styła: 9 documents / 217,932 tokens (Hub PR #27).
 
-- `eurlex` is relabelled `LicenseRef-EU-Reuse-Policy` (the EUR-Lex notice grants
-  CC BY 4.0 only for consolidated texts and editorial content); 572 documents
-  with third-party material are dropped, and `eurlex.attribution.jsonl` gives
-  each row its EUR-Lex link. 242,488 documents / 2,333,038,468 tokens (Hub PRs
-  #71, #82, #173, #177).
-- `parliamentary` is rebuilt from IPI PAN's speaker-labelled TEI dump: only
-  official speakers are kept in the sittings and exact copies are dropped. The
-  System Informacyjny Sejmu credit is given for its Sejm material as a
-  precaution. 329,863 documents / 1,504,127,614 tokens (Hub PRs #108, #111).
-- `wikipedia` is rebuilt from the official plwiki dump, replacing the
-  SpeakLeash snapshot; each record is labelled by its contribution dates, and 42
-  pages with a copyright-violation notice or deleted for one are dropped.
-  1,468,647 documents / 1,226,906,115 tokens (v0.2.5: 1,171,897 documents; Hub
-  PRs #68, #128, #148).
-- `biblioteka_nauki` records carry the licence version and basis the Biblioteka
-  Nauki API gives for each; 3 Public Domain Mark records and 4,142 rows are
-  dropped after review. 37,843 documents / 590,924,796 tokens (v0.2.5: 42,071;
-  Hub PRs #62, #81, #186).
-- `dziennik_ustaw` no longer claims Monitor Polski, gains an ELI-address
-  sidecar and gives the System Informacyjny Sejmu credit as a precaution; text
-  and counts are unchanged: 35,442 documents / 486,126,575 tokens (Hub PRs
-  #103, #160, #162).
-- `wolne_lektury` is relabelled per document from its book's own licence, with
-  credits in `wolne_lektury.attribution.jsonl`; 67 documents are dropped, 174
-  are held out until their books' contents are checked, and the author's and
-  translator's notes are added to 459 texts. 5,900 documents / 91,715,560
-  tokens (Hub PRs #67, #99, #184, #188, #190, #191).
-- `govpl` drops 188 PAP reprints, 186 other third-party texts and 12,870 press
-  releases of prosecutor's offices. 74,946 documents / 68,291,645 tokens
-  (v0.2.5: 88,190; Hub PRs #63, #170, #214).
-- `sejm_api` cuts the "Przebieg posiedzenia" trailers, puts the 2,466
-  statements they appended into rows of their own and drops 123 rows by
-  speakers outside its allowlist. 39,776 documents / 30,637,660 tokens
-  (v0.2.5: 38,812; Hub PRs #83, #158).
-- `eltec_pol` adds author metadata and an attribution sidecar and restores the
-  chapter titles. 100 documents / 21,504,056 tokens (Hub PR #187).
-- `wikibooks` withholds 54 pages; each record is labelled by its contribution
-  dates and the licence of imported text, and markup residue is removed. 9,041
-  documents / 15,220,800 tokens (v0.2.5: 9,112; Hub PRs #127, #134, #139, #142,
-  #147).
-- `wikivoyage` withholds 6,330 pages, 6,326 of them text from Wikitravel; each
-  record is labelled by its contribution dates, and markup residue is removed.
-  7,312 documents / 14,084,102 tokens (v0.2.5: 13,645; Hub PRs #125, #133,
-  #138, #141).
-- `wikinews` withholds 1 page; each record is labelled by its contribution
-  dates and the licence of imported text, and markup residue is removed. 23,572
-  documents / 10,968,504 tokens (v0.2.5: 24,386; Hub PRs #77, #130, #132, #137,
-  #146).
-- `global_voices` drops 114 posts republished from partner outlets. 1,926
-  documents / 3,453,918 tokens (v0.2.5: 2,040; Hub PR #66).
-- `nkjp1m` is relabelled `CC-BY-4.0` per the NKJP Consortium, with an agreed
-  `ATTRIBUTION.md`; text unchanged. 18,381 documents / 2,601,201 tokens (Hub PR
-  #51).
-- `wiktionary_examples` drops the lines quoting third-party works and is
-  relabelled per record `CC-BY-SA-3.0`, `CC-BY-SA-4.0` or both, by contribution
-  date. 1,818 documents / 207,181 tokens (v0.2.5: 8,639; Hub PR #50).
-
-Withdrawn: 5 v0.2.5 sources, removed from main and, on 2026-10-21, from every
-release tag that held them.
+Removed from main:
 
+- `fandom_pl` (Piotr Styła, Hub PR #48; 50,653 documents / 45,790,009 tokens
+  from 12 wikis, never released and never counted in the totals above) 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.
 - `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).
+  unverified; it is re-added only after review. The registry keeps its
+  `release: "0.2.3"` entry and `make_docs.py` skips it (no stats file). The
+  v0.2.4 and v0.2.5 tags still contain it.
+- `openstax_pl` (Piotr Styła, Hub PR #23; 1,422 documents / 4,632,374 tokens,
+  never released) 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, never released) 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.
 - `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`.
+  `src/fetch_wikimedia.py`. The v0.2.0-v0.2.5 tags still contain it.
 - `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
@@ -139,135 +70,40 @@ release tag that held them.
   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.
+  for a later release. The v0.2.0-v0.2.5 tags still contain it.
+
+Changed on main:
+
+- `samorzad_gov_pl` rebuilt from the de-identified upstream v0.2 (Dawid
+  Majewski, Hub PR #15, landed as #46): 72,771 documents / 41,154,506 tokens
+  in v0.2.5 → 72,472 / 40,011,099 on main.
+- `1000_novels` keeps only its public-domain texts, relabelled
+  `public-domain` (Hub PRs #49, #55): 1,000 documents / 60,517,363 tokens in
+  v0.2.5 → 837 / 51,765,528 on main.
+- `wiktionary_examples` dropped the lines quoting third-party works and is
+  relabelled `CC-BY-SA-4.0` (Hub PR #50): 8,639 documents / 1,115,820 tokens
+  in v0.2.5 → 1,818 / 207,181 on main.
+- `nkjp1m` is relabelled `CC-BY-4.0` per the NKJP Consortium, with an agreed
+  `ATTRIBUTION.md` (Hub PR #51); documents and text unchanged.
+- The 17 v0.2.5 sources still on main total 2,093,026 documents /
+  6,276,340,429 tokens; all 32 sources on main total 3,378,438 documents /
+  7,533,130,444 tokens.
 
 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).
+- PII scrubbing moved out of the repo to SlayerLab/NERGAL (#38); contextual
+  PII masking improvements (#28).
+- Releases are tagged (#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.
+  samples (#42).
+- `build_dynaword.py` gained `preserve_id` / `preserve_created` flags (#45).
 - 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.
+  corrects the v0.2.5 documentation to 20 sources. Every file under `data/` is
+  byte-identical between the two commits.
 
 ## 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
+- The v0.2.5 tag contains 20 sources: `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

LICENSE

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

NOTICE.md

@@ -1,176 +0,0 @@
-# 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,
-  committee transcripts, interpellations), then the Polish Parliamentary Corpus (PPC) of IPI
-  PAN, then this shard.
-- **Route:** the per-term TEI dump of 2025-05-21, downloaded directly from IPI PAN's server
-  (`https://kdp.ipipan.waw.pl/static/ppcdump-tei/<term>-tei.zip`; 28 zips, 26,409,547,075
-  bytes) and pinned by size and SHA-256 in `src/fetch_parliamentary.py`. Nothing was fetched
-  from the Chancelleries' own sites. The shard shipped up to v0.2.5 came from SpeakLeash's
-  `PPC_corpus` instead; the datasheet describes the difference.
-- **Acquired:** 2026-10-07 (the TEI dump).
-- **Terms:** the only rights statement we found is IPI PAN's on its PPC page: "The
-  parliamentary data is public domain." It is a redistributor's statement, not the
-  institutions'. We read the page on 2026-10-18 and archived it in polish-dynaword-v2 (pull
-  request 120). We record the sentence as provenance, not as our legal basis.
-- **IPI PAN's confirmation, 2026-10-19:** by email, IPI PAN confirmed that its statement also
-  covers its right as producer of the database, and agreed to the resource's inclusion in this
-  collection under the collection's CC BY-SA 4.0 tag. That is IPI PAN's consent about its own
-  rights and about the collection-level tag; it does not give the texts a licence and does not
-  speak for the Sejm or the Senate. The reply is archived as
-  `evidence/ipipan_reply_2026-10-19.md` in polish-dynaword-v2. IPI PAN also confirmed the
-  citation (Ogrodniczuk 2018) as correct for now and said a book on the corpus is in
-  preparation, so the preferred citation may change.
-- **Credit:** IPI PAN; the speaker turns, speaker ids, roles and dates this source is cut and
-  filtered by come from IPI PAN's TEI markup. PPC's CC BY licence covers its annotations; none
-  of the annotation layers is shipped. Cite Maciej Ogrodniczuk (2018), "Polish Parliamentary
-  Corpus", Proceedings of the LREC 2018 Workshop ParlaCLARIN.
-- **SIS credit:** Źródło: System Informacyjny Sejmu (Kancelaria Sejmu RP), for the Sejm
-  material in this source. We give it as a precaution: the source is a copy from IPI PAN's
-  server, not from the Sejm's system, and whether the note applies is open. It does not
-  cover the Senate material.
-
-### sejm_api_2011_2022 and sejm_api
-
-- **Upstream:** API Sejmu, https://api.sejm.gov.pl/ (Kancelaria Sejmu RP): speeches in plenary
-  sittings, 2011-2022 (`sejm_api_2011_2022`) and from 2023 (`sejm_api`).
-- **Terms:** api.sejm.gov.pl states no licence or terms of use; no disclaimer was found. See
-  the SIS section above.
-- **Route:** the API, then Piotr Styła's corpus on the Hub,
-  `PiotrSty/sejm-speeches-corpus@v1.0.1` (commit `124557799608ce4212cf22fa90ca7904618de1b6`),
-  then these shards. We did not re-fetch the text from the API. The snapshot is a
-  contributor's copy: its compiler may hold a database right of his own in it, and this
-  file does not rely on one being waived or licensed.
-- **Acquired:** not recorded in the snapshot's metadata that we hold. `sejm_api` was added on
-  2026-08-22 and `sejm_api_2011_2022` on 2026-08-31.
-- **Credit:** Kancelaria Sejmu RP, SIS (above); compiled by Piotr Styła. The speaker and the
-  day-level API URL of each record are in `<source>.attribution.jsonl`.
-- **Not implied:** endorsement by the Kancelaria Sejmu RP.
-
-### sejm_committee_transcripts
-
-- **Upstream:** API Sejmu, https://api.sejm.gov.pl/ (Kancelaria Sejmu RP): full transcripts
-  ("pełny zapis przebiegu posiedzenia") of committee sittings, terms 9-10, as PDFs
-  (`/sejm/term{n}/committees/{code}/sittings/{num}/pdf`).
-- **Terms:** none at the API; no disclaimer found. See the SIS section above.
-- **Route:** the API, with `src/fetch_sejm_committee_transcripts.py`, assembled from the
-  contributor's pipeline `PiotrSty/sejm-committee-transcripts` at commit `9efc4e2`; text with
-  `pdftotext -layout`. The script downloads the PDFs from the API; this repository names no
-  intermediary copy of the data and does not record who ran the download. The shard was
-  re-cut and re-filtered from the stored pre-filter release (Hub PR 37), because the PDF
-  cache is not kept.
-- **Acquired:** no exact download date is recorded. The latest sitting is dated 2026-09-03
-  and the pre-filter release reached the Hub on 2026-09-29, so the download falls between
-  those dates. The registry's `added` date, 2026-09-18, is not an acquisition date.
-- **Credit:** Kancelaria Sejmu RP, SIS (above). Each record's source PDF endpoint and the
-  sitting's `content_sha1` are in `sejm_committee_transcripts.attribution.jsonl`.
-- **Not implied:** endorsement by the Kancelaria Sejmu RP.
-
-### dziennik_ustaw
-
-- **Upstream:** ELI interface of the Kancelaria Sejmu, https://api.sejm.gov.pl/eli/acts, which
-  serves the texts of acts published in Dziennik Ustaw (Journal of Laws).
-- **Terms:** the ELI documentation (`/eli.html`) states no licence or terms of use; no
-  disclaimer was found. The texts are normative acts and other official documents (Art. 4
-  pkt 1 and 2, above).
-- **Contents:** Dziennik Ustaw only. Monitor Polski is not included. The datasheet gives the
-  measured scope: statutes, regulations, announcements (mostly consolidated texts), rulings
-  of the Constitutional Tribunal, government statements on international agreements, treaties
-  and their foreign-language texts, and three EU Council decisions. Foreign-language texts,
-  such as treaty appendices, are part of the official publication; their status under foreign
-  law is outside the statement above.
-- **Route:** the ELI API directly, with `src/fetch_eli.py` (HTML text of each act). No
-  intermediary.
-- **Acquired:** not recorded. The shard was added on 2026-06-15.
-- **Credit:** Dziennik Ustaw; Kancelaria Sejmu RP for the ELI interface. As a precaution
-  we also give the System Informacyjny Sejmu note, "Źródło: System Informacyjny Sejmu
-  (Kancelaria Sejmu RP)". The terms page does not mention the ELI interface, so whether the
-  note applies is open.
-
-## Takedown and contact
-
-Material is removed on a substantiated request, as described in the README and in
-[takedown/PROCEDURE.md](takedown/PROCEDURE.md).

PAPER.md

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

README.md

@@ -11,33 +11,27 @@ tags:
 - polish
 - pretraining
 - dynaword
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/*/*.parquet
 ---
 
 # Polish DynaWord
 
-A continuously developed corpus of human-written Polish text, **openly licensed
-or official**, a Polish edition in the [Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword)
+A continuously developed, **openly-licensed**, human-text Polish corpus — a Polish
+edition in the [Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword)
 family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271)).
 
-> **v0.2.6 stable** · 3,394,876 documents · **7.04B tokens**
-> (tiktoken proxy) · 27 sources
-> Updated: **2026-10-22**. v0.2.6 ships before the NERGAL personal-data pass;
-> the pass runs on every source before v0.2.7
-> ([Personal & sensitive data](#personal--sensitive-data)).
+> **v0.2.5 stable** · 4,366,651 documents · **9.68B tokens**
+> (tiktoken proxy; canonical Llama-3 count at release) · 20 sources
+> Updated: **2026-08-14**
 
-> **main, not a release (2026-10-22)** · 27 sources · 3,394,876 documents ·
-> **7.04B 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.
+> **main, not a release (2026-10-05)** · 32 sources · 3,378,438 documents ·
+> **7.53B tokens**: 17 of the 20 v0.2.5 sources (`european_hplt_v3_pl`,
+> `wikiquote` and `wikisource` withdrawn)
+> plus the 15 sources [planned for v0.2.6](#v026-dev-planned-sources-on-main-not-yet-released). Cite
+> the `v0.2.5` 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.
+> corpus version, and it does not replace the v0.2.5 stable parquets.
 
 > **Europeana validation artifact (2026-07-10)** · a separate reproducible
 > 810-document direct-ingestion sample stored under the legacy path
@@ -49,20 +43,13 @@ family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271))
 
 | version | status | documents | tokens | notes |
 |---|---|---:|---:|---|
-| `v0.2.6` | stable release | 3,394,876 | 7.04B | Adds 12 sources and withdraws five; the 15 v0.2.5 sources it keeps are relabelled, filtered or rebuilt. Ships before the NERGAL personal-data pass. |
-| `v0.2.5` | previous stable | 4,366,651 | 9.68B | Adds community-contributed `samorzad_gov_pl` (institution-level author attribution and a URL-bearing attribution sidecar), `sejm_api` and `wiktionary_examples`. |
+| `v0.2.5` | stable release | 4,366,651 | 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
@@ -74,28 +61,7 @@ withdrew or changed ([Withdrawn since v0.2.5](#withdrawn-since-v025),
 
 ### Version details
 
-#### v0.2.6 — current stable
-
-**27 sources, 3,394,876 documents / 7,036,938,603 cl100k-proxy tokens:**
-
-- adds 12 sources, 1,097,821 documents / 637,130,408 tokens:
-  `plwiki_user_talk`, `sejm_committee_transcripts`, `plwiki_talk`, `ted_pl`,
-  `sejm_api_2011_2022`, `nonsa`, `studia_bas`, `wiadomosci_statystyczne_pl`,
-  `rock_pollub_pl`, `edukacja_medialna_pl`, `open_agh_chemistry_pl` and
-  `open_icm_pl`;
-- keeps 15 of the 20 v0.2.5 sources, 2,297,055 documents / 6,399,808,195
-  tokens, each relabelled, filtered or rebuilt
-  ([Changes since v0.2.5](#changes-since-v025));
-- withdraws five v0.2.5 sources: `european_hplt_v3_pl`, `wikisource`,
-  `1000_novels`, `samorzad_gov_pl` and `wikiquote`
-  ([Withdrawn since v0.2.5](#withdrawn-since-v025));
-- leaves out `sejm_interpellations` and `kultura_bez_barier_pl`, both
-  [held off main](#held-off-main).
-
-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
+#### v0.2.5 — current stable
 
 Added three sources, bringing the complete release to **20 sources,
 4,366,651 documents / 9,676,513,980 cl100k-proxy tokens**:
@@ -114,7 +80,7 @@ Added three sources, bringing the complete release to **20 sources,
   `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
+Documentation correction: the v0.2.5 tag contains 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.
 
@@ -174,16 +140,14 @@ rights and creator metadata. It does not change stable-release totals.
 `v0.3.1-preview` remains only as the legacy storage-path label.
 
 ## What this dataset contributes
-The raw texts come from upstream publishers, official sources and existing open
-corpora; `eurlex`, `wolne_lektury` and `biblioteka_nauki` come from SpeakLeash's
-redistribution. **The value added here is the curation, not the bytes**,
-following the Dynaword methodology:
-
-1. **License review per source** — each source vetted for a *traceable* legal
-   basis (a licence, the public domain or official-document status, documented
-   in its datasheet); sources that fail the review are **excluded with a stated
-   reason** (see table below), not silently kept. This is the core editorial
-   work.
+The raw texts come from existing open corpora (redistributed via SpeakLeash and,
+where applicable, fetched from upstream). **The value added here is the curation,
+not the bytes**, following the Dynaword methodology:
+
+1. **License review per source** — each source vetted for an *openly-licensed,
+   traceable* legal basis (documented in its datasheet); sources that fail the
+   review are **excluded with a stated reason** (see table below), not silently
+   kept. This is the core editorial work.
 2. **Filtering & normalization** — minimal, reproducible gates (short-doc,
    non-Polish, exact cross-source dedup, OCR garble) applied uniformly to one
    clean schema: `id, text, source, added, created, token_count, license, author`.
@@ -192,10 +156,9 @@ following the Dynaword methodology:
 4. **Reproducibility & versioning** — `src/` rebuilds the corpus from sources;
    new sources and removals are tracked in the CHANGELOG.
 
-Credit for the underlying texts belongs to their authors and upstream sources,
-and to SpeakLeash as the redistributor of `eurlex`, `wolne_lektury` and
-`biblioteka_nauki`; this release does not claim ownership of them (see
-Disclaimer).
+Credit for the underlying texts belongs to the upstream sources and to SpeakLeash
+as the redistributing aggregator; this release does not claim ownership of them
+(see Disclaimer).
 
 ## Contributors
 
@@ -203,22 +166,21 @@ Disclaimer).
 |---|---|---|
 | [Kacper Wikieł](https://huggingface.co/kacperwikiel) | Project maintainer; corpus curation, source and license review, release engineering, documentation, validation and reproducible build workflow. | all releases |
 | [Bart Kobyliński](https://huggingface.co/bartoszkobylinski1) | Added `1000_novels`; expanded Biblioteka Nauki and Europeana ingestion with per-document license and author metadata. | `v0.2.1`, [PR #1](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/1) |
-| [Paweł Puzio](https://huggingface.co/ppuzio) | Built `govpl`: subsite discovery, direct ingestion pipeline, dataset artifact, contract tests and documentation. Added `sejm_interpellations` (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) |
+| [Paweł Puzio](https://huggingface.co/ppuzio) | Built `govpl`: subsite discovery, direct ingestion pipeline, dataset artifact, contract tests and documentation. Added `sejm_interpellations` (on main, not yet released); contributor guidance, PII scrubbing and its move to SlayerLab/NERGAL; registry-driven release totals, release tags and the source-PR/release split. | `v0.2.2`, [PR #9](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/9); [#17](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/17), [#20](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/20), [#24](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/24), [#28](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/28)–[#31](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/31), [#38](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/38), [#42](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/42) |
 | [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) |
+| [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. On main, not yet released: 13 further sources (`sejm_api_2011_2022`, `open_agh_chemistry_pl`, `edukacja_medialna_pl`, `kultura_bez_barier_pl`, `ted_pl`, `rock_pollub_pl`, `open_icm_pl`, `wiadomosci_statystyczne_pl`, `plwiki_talk`, `sejm_committee_transcripts`, `uzp_orzeczenia_pl`, `plwiki_user_talk`, `nonsa`); 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); [#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)) |
+| [gzawadzki](https://huggingface.co/gzawadzki) | Added `studia_bas`: peer-reviewed socioeconomic and public-policy articles from Studia BAS (on main, not yet released). | [PR #19](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/19) (merged via [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)) |
 
 Contributions are credited when they add a verifiable dataset artifact, pipeline,
 validation, documentation or release work. A merged discussion with no resulting
 files is not listed as a data contribution.
 
 ## Guiding principles
-1. **Open & traceable licensing** — every source is *openly licensed* or outside copyright, with a
-   documented legal basis (see each datasheet's "traceable basis"), not a vague "public domain".
-   A few sources have a contested legal status rather than a licence; their datasheets describe it.
+1. **Open & traceable licensing** — every source is *openly licensed* with a documented
+   legal basis (see each datasheet's "traceable basis"), not a vague "public domain".
 2. **Reproducibility** — `src/build_dynaword.py` rebuilds the corpus from sources.
 3. **Documented** — a datasheet per source under `data/<source>/`.
 4. **Extensibility** — versioned; new sources via PR.
@@ -226,131 +188,74 @@ files is not listed as a data contribution.
 ## Sources
 | source | description | license | documents | tokens |
 |---|---|---|---:|---:|
-| [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `LicenseRef-EU-Reuse-Policy` | 242,488 | 2,333.0M |
-| [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 329,863 | 1,504.1M |
-| [wikipedia](data/wikipedia/wikipedia.md) | Polish Wikipedia | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 1,468,647 | 1,226.9M |
-| [biblioteka_nauki](data/biblioteka_nauki/biblioteka_nauki.md) | Biblioteka Nauki | `per-record upstream license` | 37,843 | 590.9M |
-| [dziennik_ustaw](data/dziennik_ustaw/dziennik_ustaw.md) | Dziennik Ustaw (Polish primary legislation) | `public-domain (official documents)` | 35,442 | 486.1M |
-| [plwiki_user_talk](data/plwiki_user_talk/plwiki_user_talk.md) | Polish Wikipedia user-talk pages (ns 3) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 380,295 | 381.0M |
-| [sejm_committee_transcripts](data/sejm_committee_transcripts/sejm_committee_transcripts.md) | Sejm committee transcripts (terms 9-10) | `public-domain (official documents)` | 613,722 | 112.0M |
-| [wolne_lektury](data/wolne_lektury/wolne_lektury.md) | Wolne Lektury (school readings) | `per-record Wolne Lektury licence (public domain, LAL 1.3, CC BY-SA 3.0 PL/3.0/4.0)` | 5,900 | 91.7M |
-| [govpl](data/govpl/govpl.md) | gov.pl — Polish government press releases | `CC-BY-SA-4.0` | 74,946 | 68.3M |
-| [plwiki_talk](data/plwiki_talk/plwiki_talk.md) | Polish Wikipedia talk pages (ns 1+5) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 43,054 | 55.6M |
-| [ted_pl](data/ted_pl/ted_pl.md) | TED Polish public-procurement notices | `TED notice status, no licence granted` | 14,210 | 39.6M |
-| [sejm_api](data/sejm_api/sejm_api.md) | Sejm API parliamentary speeches (2023 onward) | `public-domain (official documents)` | 39,776 | 30.6M |
-| [sejm_api_2011_2022](data/sejm_api_2011_2022/sejm_api_2011_2022.md) | Sejm speeches 2011-2022 (terms VII-IX, attributed) | `public-domain (official documents)` | 33,930 | 26.9M |
+| european_hplt_v3_pl *(withdrawn from main after v0.2.5, licence under review)* | HPLT v3.0 Polish (web, top WDS bins 10-5) | `CC0-1.0` | 1,603,974 | 2,555.5M |
+| [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `CC-BY-4.0` | 243,060 | 2,378.1M |
+| [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 324,622 | 1,646.8M |
+| wikisource *(withdrawn from main after v0.2.5, mixed per-page licences; rebuild planned)* | Polish Wikisource | `CC-BY-SA-3.0` | 632,005 | 801.9M |
+| [wikipedia](data/wikipedia/wikipedia.md) | Polish Wikipedia | `CC-BY-SA-3.0` | 1,171,897 | 707.2M |
+| [biblioteka_nauki](data/biblioteka_nauki/biblioteka_nauki.md) | Biblioteka Nauki | `per-record upstream license` | 42,071 | 673.5M |
+| [dziennik_ustaw](data/dziennik_ustaw/dziennik_ustaw.md) | Dziennik Ustaw + Monitor Polski (Polish primary legislation) | `public-domain (official documents)` | 35,442 | 486.1M |
+| [wolne_lektury](data/wolne_lektury/wolne_lektury.md) | Wolne Lektury (school readings) | `CC-BY-SA-4.0 / Wolna Sztuka 1.3` | 6,141 | 103.0M |
+| [govpl](data/govpl/govpl.md) | gov.pl — Polish government press releases | `CC-BY-SA-4.0` | 88,190 | 80.7M |
+| [1000_novels](data/1000_novels/1000_novels.md) | 1000 Novels Corpus (CLARIN-PL) | `CC-BY-4.0` | 1,000 | 60.5M |
+| [samorzad_gov_pl](data/samorzad_gov_pl/samorzad_gov_pl.md) | samorzad.gov.pl — Polish public-sector institutions | `CC-BY-SA-4.0` | 72,771 | 41.2M |
+| [sejm_api](data/sejm_api/sejm_api.md) | Sejm API parliamentary speeches (2023 onward) | `public-domain (official documents)` | 38,812 | 36.3M |
+| wikiquote *(withdrawn from main after v0.2.5, mostly in-copyright quotations)* | Polish Wikiquote (quotations) | `CC-BY-SA-3.0` | 30,363 | 31.9M |
 | [eltec_pol](data/eltec_pol/eltec_pol.md) | ELTeC-pol (European Literary Text Collection, Polish) | `CC-BY-4.0` | 100 | 21.5M |
-| [nonsa](data/nonsa/nonsa.md) | Nonsensopedia (Polish satirical wiki, content namespaces) | `CC BY-SA 3.0` | 11,692 | 15.4M |
-| [wikibooks](data/wikibooks/wikibooks.md) | Polish Wikibooks (open textbooks) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date, plus the licence of imported text)` | 9,041 | 15.2M |
-| [wikivoyage](data/wikivoyage/wikivoyage.md) | Polish Wikivoyage (travel guides) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 7,312 | 14.1M |
-| [wikinews](data/wikinews/wikinews.md) | Polish Wikinews | `CC BY (2.5, 4.0 or both per record, by contribution date, plus the licence of imported text)` | 23,572 | 11.0M |
-| [global_voices](data/global_voices/global_voices.md) | Global Voices Polish | `CC-BY-3.0` | 1,926 | 3.5M |
-| [nkjp1m](data/nkjp1m/nkjp1m.md) | The manually annotated 1-million word subcorpus of the National Corpus of Polish | `CC-BY-4.0` | 18,381 | 2.6M |
-| [studia_bas](data/studia_bas/studia_bas.md) | Studia BAS — peer-reviewed socioeconomic and public-policy articles | `CC-BY-3.0-PL` | 112 | 2.3M |
-| [wiadomosci_statystyczne_pl](data/wiadomosci_statystyczne_pl/wiadomosci_statystyczne_pl.md) | Wiadomosci Statystyczne. The Polish Statistician (GUS) | `CC BY-SA 4.0` | 169 | 1.5M |
-| [rock_pollub_pl](data/rock_pollub_pl/rock_pollub_pl.md) | ROCK Politechnika Lubelska - Polish academic books | `CC-BY-SA-4.0` | 8 | 1.2M |
-| [edukacja_medialna_pl](data/edukacja_medialna_pl/edukacja_medialna_pl.md) | Edukacja Medialna - Polish media-literacy lessons | `CC-BY-SA-3.0` | 248 | 0.7M |
-| [open_agh_chemistry_pl](data/open_agh_chemistry_pl/open_agh_chemistry_pl.md) | Open AGH - four Polish chemistry textbooks | `CC-BY-SA-4.0` | 370 | 0.6M |
-| [open_icm_pl](data/open_icm_pl/open_icm_pl.md) | OPEN ICM Polish open-access publications pilot | `per-record CC BY or CC BY-SA` | 11 | 0.4M |
-| [wiktionary_examples](data/wiktionary_examples/wiktionary_examples.md) | Polish Wiktionary usage examples | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 1,818 | 0.2M |
-| **total** | | | **3,394,876** | **7,036.9M** |
-
-Each document's `license` field gives its own licence or status; the label above
-summarises the source.
-
-### Withdrawn since v0.2.5
-
-These v0.2.5 sources are not in v0.2.6, and 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. 329,863 documents / 1,504.1M tokens
-  ([PR #108](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/108), [PR #111](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/111)).
-- `wikipedia` was rebuilt from the official plwiki dump, replacing the SpeakLeash
-  snapshot. Each record is labelled CC BY-SA 3.0, 4.0 or both by its
-  contribution dates. The 35 pages that carry plwiki's copyright-violation notice
-  are dropped, and so are 7 pages that plwiki deleted for a copyright
-  violation. 1,171,897 → 1,468,647 documents, 707.2M → 1,226.9M tokens
-  ([PR #68](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/68), [PR #128](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/128), [PR #148](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/148)).
-- `biblioteka_nauki` keeps its text from the SpeakLeash redistribution. Each
-  record now carries the licence version and licence basis the Biblioteka Nauki
-  API gives for it. 3 records under the Public Domain Mark and 4,142 further
-  rows were dropped after review. 42,071 → 37,843 documents, 673.5M → 590.9M tokens
-  ([PR #62](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/62), [PR #81](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/81), [PR #186](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/186)).
-- `dziennik_ustaw` no longer claims Monitor Polski, which it never included. A
-  sidecar gives each row its ELI address, and the System Informacyjny Sejmu
-  credit is given as a precaution. Its text and counts are unchanged:
-  35,442 documents / 486.1M tokens ([PR #103](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/103), [PR #160](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/160), [PR #162](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/162)).
-- `wolne_lektury` is relabelled per document: v0.2.5 labelled every document
-  `CC-BY-SA-4.0 / Wolna Sztuka 1.3`, which is wrong. Each now carries the
-  licence its own Wolne Lektury book states (4,383 public domain, 1,467 LAL 1.3,
-  50 CC BY-SA 3.0 PL, 3.0 or 4.0), with its credits in
-  `wolne_lektury.attribution.jsonl`. 67 documents are dropped (63 eltec_pol
-  novels, 2 with no usable licence, 2 whose translation is not free), 174
-  printed in two later editors' selections are held out until the books'
-  contents are checked, and the author's and translator's notes are added at
-  the end of 459 texts.
-  5,900 documents / 91.7M tokens
-  ([PR #67](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/67), [PR #99](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/99), [PR #184](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/184), [PR #188](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/188), [PR #190](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/190), [PR #191](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/191)).
-- `govpl` drops 188 PAP reprints, 186 other third-party texts and 12,870 press
-  releases of prosecutor's offices. 88,190 → 74,946 documents, 80.7M → 68.3M tokens
-  ([PR #63](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/63), [PR #170](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/170), [PR #214](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/214)).
-- `sejm_api` cuts the "Przebieg posiedzenia" trailers, puts the 2,466
-  statements they appended into rows of their own and drops 123 rows by speakers
-  outside its allowlist. 38,812 → 39,776 documents, 36.3M → 30.6M tokens ([PR #83](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/83), [PR #158](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/158)).
-- `eltec_pol` adds author metadata and an attribution sidecar and restores the
-  chapter titles: 100 documents / 21.5M tokens ([PR #187](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/187)).
-- `wikibooks` withholds 54 pages: 51 by the rights review and 3 with
-  `{{GFDL-tekst}}`. Each record is labelled by its contribution dates and the
-  licence of imported text, and markup residue is removed. 9,112 → 9,041
-  documents, 15.6M → 15.2M tokens ([PR #127](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/127), [PR #134](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/134), [PR #139](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/139), [PR #142](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/142), [PR #147](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/147)).
-- `wikivoyage` withholds 6,330 pages: 6,326 with `{{Atrybucja}}` (text from
-  Wikitravel), 2 with `{{Import}}` and 2 by the rights review. Each record is
-  labelled by its contribution dates, and markup residue is removed.
-  13,645 → 7,312 documents, 17.1M → 14.1M tokens ([PR #125](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/125), [PR #133](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/133), [PR #138](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/138), [PR #141](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/141)).
-- `wikinews` withholds 1 page. Each record is labelled by its contribution
-  dates and the licence of imported text, and markup residue is removed.
-  24,386 → 23,572 documents, 12.1M → 11.0M tokens
-  ([PR #77](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/77), [PR #130](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/130), [PR #132](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/132), [PR #137](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/137), [PR #146](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/146)).
-- `global_voices` drops 114 posts republished from partner outlets.
-  2,040 → 1,926 documents, 3.7M → 3.5M tokens ([PR #66](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/66)).
+| [wikivoyage](data/wikivoyage/wikivoyage.md) | Polish Wikivoyage (travel guides) | `CC-BY-SA-3.0` | 13,645 | 17.1M |
+| [wikibooks](data/wikibooks/wikibooks.md) | Polish Wikibooks (open textbooks) | `CC-BY-SA-3.0` | 9,112 | 15.6M |
+| [wikinews](data/wikinews/wikinews.md) | Polish Wikinews | `CC-BY-2.5` | 24,386 | 12.1M |
+| [global_voices](data/global_voices/global_voices.md) | Global Voices Polish | `CC-BY-3.0` | 2,040 | 3.7M |
+| [nkjp1m](data/nkjp1m/nkjp1m.md) | The manually annotated 1-million word subcorpus of the National Corpus of Polish | `CC-BY` | 18,381 | 2.6M |
+| [wiktionary_examples](data/wiktionary_examples/wiktionary_examples.md) | Polish Wiktionary usage examples | `CC-BY-SA-3.0` | 8,639 | 1.1M |
+| **total** | | | **4,366,651** | **9,676.5M** |
+
+This table is the v0.2.5 release as tagged (load it with `revision="v0.2.5"`).
+Main has changed since:
+
+- `european_hplt_v3_pl` was removed from main (licence under review; it is
+  re-added only after that review).
+- `samorzad_gov_pl` was rebuilt from the de-identified upstream v0.2:
+  72,472 documents / 40.0M tokens
+  ([PR #46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46), scoped from [PR #15](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/15)).
+- `1000_novels` keeps only its 837 public-domain texts (51.8M tokens),
+  relabelled `public-domain`: the CLARIN-PL record is metadata-only, so no
+  licence covers the texts ([PR #49](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/49), [PR #55](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/55)).
+- `wiktionary_examples` dropped the lines quoting third-party works and is
+  relabelled `CC-BY-SA-4.0`: 1,818 documents / 0.2M tokens ([PR #50](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/50)).
 - `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)).
+- `wikiquote` was removed from main: most of its pages quote works still in
+  copyright, and its CC BY-SA label covers only the contributors' selection.
+- `wikisource` was removed from main: its single CC BY-SA 3.0 label also covers
+  in-copyright post-war imprints that carry their own per-page licences. A
+  rebuild from the official dump is planned for a later release.
 
-## Held off main
-These registered sources (`release: None`) have no data on main and are in no
-release (see `CHANGELOG.md`):
+The 17 v0.2.5 sources still on main total 2,093,026 documents / 6,276.3M tokens.
 
-- `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.
+## v0.2.6-dev: planned sources (on main, not yet released)
+The planned content of v0.2.6. Built and documented, but **not** part of v0.2.5 and excluded from every total
+above. None has a recorded [NERGAL](https://huggingface.co/SlayerLab/NERGAL)
+pass yet, which each needs before v0.2.6 can admit it (see `AGENTS.md`).
+
+| source | description | license | documents | tokens |
+|---|---|---|---:|---:|
+| [uzp_orzeczenia_pl](data/uzp_orzeczenia_pl/uzp_orzeczenia_pl.md) | UZP Orzeczenia - KIO/SO/SA/SN public-procurement rulings | `public-domain (official documents)` | 34,715 | 422.0M |
+| [plwiki_user_talk](data/plwiki_user_talk/plwiki_user_talk.md) | Polish Wikipedia user-talk pages (ns 3) | `CC BY-SA 4.0` | 380,527 | 381.4M |
+| [sejm_committee_transcripts](data/sejm_committee_transcripts/sejm_committee_transcripts.md) | Sejm committee transcripts (terms 9-10) | `public-domain (official documents)` | 653,411 | 166.3M |
+| [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)` | 118,902 | 135.1M |
+| [plwiki_talk](data/plwiki_talk/plwiki_talk.md) | Polish Wikipedia talk pages (ns 1+5) | `CC BY-SA 4.0` | 43,054 | 55.6M |
+| [ted_pl](data/ted_pl/ted_pl.md) | TED Polish public-procurement notices | `TED notice reuse terms` | 15,544 | 42.5M |
+| [sejm_interpellations](data/sejm_interpellations/sejm_interpellations.md) | Sejm interpellations and written questions (10th term) | `public-domain (official documents)` | 25,950 | 28.2M |
+| [nonsa](data/nonsa/nonsa.md) | Nonsensopedia (Polish satirical wiki, content namespaces) | `CC BY-SA 3.0` | 12,304 | 16.9M |
+| [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` | 85 | 2.4M |
+| [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` | 252 | 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 |
+| [kultura_bez_barier_pl](data/kultura_bez_barier_pl/kultura_bez_barier_pl.md) | Kultura bez Barier PL (accessibility guides) | `CC-BY-SA-3.0` | 9 | 0.2M |
+| **total (planned for v0.2.6)** | | | **1,285,412** | **1,256.8M** |
 
 ## Method
 Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
@@ -361,13 +266,6 @@ Evaluation-set decontamination is applied/marked separately. Schema:
 and `author` columns are per-document metadata when upstream exposes them; older
 sources use the source-level license and an empty author field.
 
-Cross-source deduplication covers some pairs of sources only. Wolne Lektury
-drops a document when at least 0.9 of its 5-word shingles are in one ELTeC
-novel; below that, both copies stay. Both tomes of Helena Mniszek's
-*Trędowata* (0.7588 and 0.6473 against the same, shorter ELTeC text) are
-therefore in both `wolne_lektury` and `eltec_pol`; the pairs are listed in
-`data/wolne_lektury/wolne_lektury.eltec_pairs.tsv`.
-
 ## v0.3 quality roadmap and current status
 
 The v0.2.x raw corpus is intentionally provenance-first, but its token mix is too
@@ -388,22 +286,22 @@ workflow therefore separates **source inclusion** from **training mix**:
 
 Current v0.3 source-ingestion status:
 
-- `biblioteka_nauki`: included with its text from SpeakLeash's redistribution
-  and each document's licence and author from the Biblioteka Nauki API.
+- `biblioteka_nauki`: included from the direct-upstream rebuild with
+  per-document license and author metadata.
 - `europeana`: prepared in the source registry as a direct-upstream rebuild
   target with per-record rights statements and creator metadata; raw SpeakLeash
   Europeana remains excluded.
 - Europeana release policy: split conservatively at pre-1929 records for
   US-sensitive downstream reuse, and keep later/unknown records separately
-  labeled or held until their US rights status is checked.
+  labeled or held until legal review.
 - `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.
+  It is re-added only after licence review.
+- `1000_novels`: reduced to the 837 texts in the public domain in Poland after a
+  per-text rights screen. The CLARIN-PL record holds metadata only, so its
+  CC-BY-4.0 licence does not cover the texts. Author, translator and title per row
+  in its attribution sidecar. See its datasheet.
 
 Current review artifacts:
 
@@ -421,178 +319,43 @@ Sources we reviewed and **deliberately left out** — part of the curation:
 |---|---|
 | `open_subtitles_corpus` | Derivative of copyrighted film/TV dialogue; OpenSubtitles uploads largely unlicensed. Same copyright lesson as Danish Gigaword's OpenSubtitles (paper 2508.02271). Not openly licensed. |
 | `europeana_eu_pl_corpus_raw_speakleash` | Aggregated items with mixed per-record rights (PD / CC-BY-NC / rights-reserved). The raw SpeakLeash redistribution is excluded; only a direct rebuild preserving per-record rights metadata may be included. |
-| `project_gutenberg_pl_corpus` | Only 31 PL books (4.3MB) — PG is ~99% English; Polish PD literature already covered by wolne_lektury (so near-redundant after dedup). Dropped to avoid the PD-in-EU per-work check (PG claims PD-in-US only) for negligible token gain. |
+| `project_gutenberg_pl_corpus` | Only 31 PL books (4.3MB) — PG is ~99% English; Polish PD literature already covered by wolne_lektury + wikisource (so near-redundant after dedup). Dropped to avoid the PD-in-EU per-work check (PG claims PD-in-US only) for negligible token gain. |
 
 ## Personal & sensitive data
-The corpus is built from text that its upstream sources already published under
-open licences or as official public record. It names **public figures acting in
-a public capacity**, for example:
-- parliamentary speakers, from [PPC](https://clip.ipipan.waw.pl/PPC) (the Polish
-  Parliamentary Corpus) and the Sejm API;
-- authorities named in legal acts (EUR-Lex);
-- people described in encyclopedic articles (Wikipedia).
-
-The corpus can also hold personal data about private persons, which our filters
-do not fully remove.
-
-**v0.2.6 ships before the NERGAL pass.** Only each source's own filters apply
-(see its datasheet). The [NERGAL](https://huggingface.co/SlayerLab/NERGAL)
-personal-data pass runs on every source before v0.2.7.
-
-**Your rights.** If the corpus holds data about you, you can ask us to:
-- tell you what it holds (GDPR Art. 15);
-- correct it (Art. 16);
-- remove it (Art. 17);
-- restrict its use (Art. 18).
-
-You can also object to its processing (Art. 21).
-
-Write to **takedown@fabryka.ai**. Name the record by its source and record id,
-by a link, or by a phrase from its text.
-- We answer within one month. For complex or numerous requests we may extend
-  this by two months, and we tell you why within the first month.
-- We ask for proof of identity only when we cannot otherwise tell that the
-  request is yours.
-- You can also complain to the President of the Personal Data Protection Office
-  (UODO).
-
-Removal follows the notice-and-takedown procedure below.
+This corpus contains **only** text that its upstream sources already published
+under open licenses or as official public-domain record. It therefore includes
+names and statements of **public figures acting in a public capacity** — e.g.
+parliamentary speakers (from [PPC](https://clip.ipipan.waw.pl/PPC), the Polish Parliamentary Corpus, and the Sejm API), authorities named in legal acts (EUR-Lex), and
+people described in encyclopedic articles (Wikipedia). No private,
+non-public personal data was collected or added. If you are a data subject and
+want content concerning you removed, contact **k.wikiel@gmail.com** — it will be dropped
+from the next version (see retroactive-removal policy below).
 
 ## Disclaimer & legal
-- **Provenance in good faith.** Per-source licences are reproduced *as documented
-  by the upstream sources*, to the best of our knowledge. We make no independent
-  legal warranty about the copyright status of any individual document.
-- **Publication basis.** Each source is published on its own basis, given in its
-  datasheet: a licence, the public domain, the status of an official document or
-  another basis the datasheet states.
-  We do not rely on the text-and-data-mining exception to publish any source.
-- **Acquisition dates.** Datasheets give the date a source was fetched where we
-  recorded it; it is not recorded for every source.
+- **Provenance in good faith.** Per-source licenses are reproduced *as documented
+  by the upstream sources and by SpeakLeash* (the intermediate aggregator), to the
+  best of our knowledge. We make no independent legal warranty about the copyright
+  status of any individual document.
 - **No ownership claim.** This release is a *curated, license-reviewed, documented
   aggregation*. We claim no ownership of the underlying texts; rights remain with
   the original authors/rightsholders under their respective licenses.
 - **Provided "as is"**, without warranty of any kind, express or implied. This is
   not legal advice.
-- **Your compliance is yours.** Downstream users must satisfy the licence of each
-  document themselves, as its `license` field and its source's datasheet give
-  it, including attribution. See
-  [Training models on this dataset](#training-models-on-this-dataset).
-- **Copied text in Wikipedia.** The Wikipedia build drops pages that carry
-  plwiki's copyright-violation notice, but it cannot detect a paste without one.
-  In a hand-checked sample of 80 pages, 2 contained text copied or closely
-  paraphrased from a copyrighted source: about 2.5%, with a 95% upper bound of
-  12.9% for each licence label. Both pages are dropped; others like them remain
-  and are removed on notice (below). Method and sample:
-  [data/wikipedia/wikipedia.md](data/wikipedia/wikipedia.md).
-- **Notice-and-takedown.** Anyone can ask us to remove a record: a rightsholder,
-  a source, or a person the text is about. Write to **takedown@fabryka.ai**. Name
-  the record by its source and record id, by a link, or by a phrase from its
-  text, and give the reason.
-  - We acknowledge the request within 5 working days.
-  - We **disable** a substantiated request **within 7 days**. The record leaves
-    `main`. Its id and text hash go on a blocklist, so no later build brings it
-    back.
-  - We then **remove it from every earlier public revision** on the Hub,
-    including tagged releases. We aim to finish within 30 days, with Hugging
-    Face's help where history has to be rewritten. Old commits and tags stay,
-    but the removed files can no longer be downloaded from them. We cannot
-    reach copies that were downloaded before.
-  - We record each removal in [takedown/register.md](takedown/register.md),
-    without personal data.
-  - The procedure is in [takedown/PROCEDURE.md](takedown/PROCEDURE.md).
+- **Your compliance is yours.** Downstream users must satisfy each upstream
+  license themselves — in particular **CC-BY-SA-4.0 attribution and share-alike**
+  for derivatives of this dataset, and attribution to the upstream sources and to
+  SpeakLeash.
+- **Notice-and-takedown.** Any source or rightsholder raising a substantiated
+  objection can have material removed: contact **k.wikiel@gmail.com**; it is dropped from
+  the next version and recorded in the CHANGELOG. Removal is retroactive
+  going-forward (prior immutable snapshots/commits may persist).
 
 ## License & attribution
-The collection (selection, arrangement and our metadata) is released under
-**CC BY-SA 4.0**, to the extent of our rights. Each document keeps the licence or
-status in its `license` field; the collection licence does not change it, and it
-does not cover third-party works in official documents or third-party statements
-in parliamentary texts. Attribution is due to each upstream source (see the
-datasheets). A source withdrawn after an objection is recorded in the CHANGELOG.
-A single record removed on request is listed in
-[takedown/register.md](takedown/register.md); see Notice-and-takedown above.
-
-### Training models on this dataset
-CC licenses apply only to uses that require permission under copyright or related
-rights; they do not restrict uses permitted by statutory exceptions. The ShareAlike
-condition applies when adapted material is shared publicly, and including a work
-unchanged in a collection does not by itself create adapted material. In our
-understanding, and in the view of several commentators, training a model does not
-by itself make the model adapted material of the training texts, so ShareAlike
-does not apply to model weights or adapters merely because they were trained on
-such texts; this has not been tested in court. The assessment may differ where a
-model or adapter contains and can reproduce protected portions of training texts,
-or where an output reproduces protected expression from them, literally or in
-recognisably adapted or translated form; sharing such a model or output then
-requires a basis (the license of the reproduced text, with its conditions, or a
-statutory exception), and whether ShareAlike also applies in that case is
-unsettled. Creative Commons has published guidance for those who choose to comply
-with CC licenses in all cases, stating that it does not take a position on whether
-and when copyright applies; it recommends that models and outputs based on
-ShareAlike material be shared under the same license, while noting that this will
-almost certainly lead to overcompliance. The Free Art License 1.3 has its own
-copyleft conditions, for derived works (§ 2.3) and for incorporation into a larger
-work (§ 4), and their application to models is likewise unsettled. Datasets
-derived from individual documents (paraphrased, summarised or machine-translated
-versions) and retrieval datastores containing the texts are outside this
-assessment: sharing them may amount to sharing the texts or adaptations of them;
-embedding indexes and new databases built from this dataset may need a separate
-assessment.
-
-If you want to minimise licensing risk for a model trained on this dataset, you
-can exclude documents whose license field indicates CC BY-SA or the Free Art
-License. If you include them and ShareAlike or the Free Art License's copyleft
-does apply to what you share, it is not enough to share it on terms that merely
-do not restrict the rights granted: CC BY-SA requires a Creative Commons license
-with the same License Elements (this version or later) or a BY-SA Compatible
-License, and the Free Art License requires the same or a compatible license.
-Attribution obligations attach to the individual licensed texts (creator,
-copyright and license notices, indication of changes); crediting the dataset (for
-example "Training data: Polish DynaWord, <link>") helps only if the link leads to
-a resource that actually contains the information required for each text. Check
-what the dataset provides for each document: the license and source fields may
-not include every required notice (for example, author names are missing for
-some older sources). License metadata may contain errors; filtering reduces, but
-does not eliminate, this risk.
-
-Models may reproduce portions of training texts, literally or in recognisably
-adapted or translated form. Where an output reproduces protected expression from
-a text and sharing it requires permission, it is subject to that text's license
-(including attribution); facts, ideas, commonplace phrases without original
-expression and uses covered by statutory exceptions (such as quotation) are not;
-shortness alone does not make a fragment unprotected.
-
-Removing a text from the corpus does not remove it from models already trained.
-
-## For general-purpose model providers
-What a provider of a general-purpose AI model may need for its copyright policy
-and its public summary of training content (AI Act, Art. 53(1)(c) and (d)). Those
-obligations rest with the model provider. This card is not a compliance
-guarantee.
-
-- **Name and version:** Polish DynaWord `v0.2.6`,
-  <https://huggingface.co/datasets/SlayerLab/polish-dynaword>, loaded with
-  `revision="v0.2.6"`.
-- **Size and acquisition:** documents and tokens per source in [Sources](#sources).
-  Each datasheet under `data/<source>/` gives the date the source was fetched
-  where we recorded it; it is not recorded for every source.
-- **Content:** human-written Polish text under open licences (Creative Commons,
-  the Free Art License), public-domain works and official documents
-  (legislation, parliamentary records, public-procurement notices). It contains
-  personal data from public sources
-  ([Personal & sensitive data](#personal--sensitive-data)).
-- **Licence per document:** the machine-readable `license` field. Each
-  datasheet gives the source's basis for publication.
-- **Text-and-data-mining reservations:** we did not check machine-readable
-  reservations (for example in robots.txt) systematically, and the corpus does
-  not record them per document.
-- **Filters and personal data:** the gates in [Method](#method) and each
-  source's own filters, described in its datasheet. v0.2.6 has not had the
-  NERGAL personal-data pass; it runs on every source before v0.2.7.
-- **Withdrawn sources and change history:**
-  [Withdrawn since v0.2.5](#withdrawn-since-v025) and `CHANGELOG.md`.
-- **Removal requests:** the notice-and-takedown procedure under
-  [Disclaimer & legal](#disclaimer--legal), with the public register in
-  [takedown/register.md](takedown/register.md).
+Released under **CC-BY-SA-4.0** (copyleft inherited from CC-BY-SA sources such as
+Wikipedia and Wolne Lektury). Attribution due to each upstream (see datasheets)
+and to **SpeakLeash** as the intermediate aggregator. Retroactive-removal policy: a
+source that raises an objection is dropped from subsequent versions, recorded in the
+CHANGELOG.
 
 ## Reproduce
 ```bash
@@ -604,35 +367,46 @@ python3 src/make_docs.py
 
 ### 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`.
+Snapshot of the v0.2.5 release (all 20 Parquets, including
+`european_hplt_v3_pl`), produced with `src/pattern_frequency_report.py`. It is
+not recomputed for main; the next release regenerates it.
 
-- Total token count (tiktoken proxy): **7,036,938,603**
+- Total token count (tiktoken proxy): **9,676,513,980**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 457,031 | 0.0065% |
-| `klasyfikacji` | 169,748 | 0.0024% |
-| `ustawa` | 664,616 | 0.0094% |
-| `artykuł` | 3,423,411 | 0.0486% |
-| `parlament` | 1,284,768 | 0.0183% |
-| `rozporządzenie` | 1,515,578 | 0.0215% |
-| `w pobliżu` | 81,258 | 0.0012% |
-| `mieszkańców` | 337,033 | 0.0048% |
-| `Dz.U.` | 979,489 | 0.0139% |
+| `w roku` | 587,251 | 0.0061% |
+| `klasyfikacji` | 164,888 | 0.0017% |
+| `ustawa` | 670,171 | 0.0069% |
+| `artykuł` | 2,417,211 | 0.0250% |
+| `parlament` | 1,300,050 | 0.0134% |
+| `rozporządzenie` | 1,528,556 | 0.0158% |
+| `w pobliżu` | 127,903 | 0.0013% |
+| `mieszkańców` | 479,471 | 0.0050% |
+| `Dz.U.` | 987,052 | 0.0102% |
 
 ### Per-source shares
 
 | source | pattern | count | share of source tokens |
 |---|---|---:|---:|
-| `biblioteka_nauki` | `w roku` | 24,639 | 0.00417% |
-| `biblioteka_nauki` | `klasyfikacji` | 7,192 | 0.00122% |
-| `biblioteka_nauki` | `ustawa` | 45,001 | 0.00762% |
-| `biblioteka_nauki` | `artykuł` | 84,189 | 0.01425% |
-| `biblioteka_nauki` | `parlament` | 29,217 | 0.00494% |
-| `biblioteka_nauki` | `rozporządzenie` | 18,331 | 0.00310% |
-| `biblioteka_nauki` | `w pobliżu` | 2,783 | 0.00047% |
-| `biblioteka_nauki` | `mieszkańców` | 30,702 | 0.00520% |
-| `biblioteka_nauki` | `Dz.U.` | 31,913 | 0.00540% |
+| `1000_novels` | `w roku` | 659 | 0.00109% |
+| `1000_novels` | `klasyfikacji` | 14 | 0.00002% |
+| `1000_novels` | `ustawa` | 656 | 0.00108% |
+| `1000_novels` | `artykuł` | 729 | 0.00120% |
+| `1000_novels` | `parlament` | 240 | 0.00040% |
+| `1000_novels` | `rozporządzenie` | 65 | 0.00011% |
+| `1000_novels` | `w pobliżu` | 1,262 | 0.00209% |
+| `1000_novels` | `mieszkańców` | 868 | 0.00143% |
+| `1000_novels` | `Dz.U.` | 0 | 0.00000% |
+| `biblioteka_nauki` | `w roku` | 28,728 | 0.00427% |
+| `biblioteka_nauki` | `klasyfikacji` | 9,045 | 0.00134% |
+| `biblioteka_nauki` | `ustawa` | 48,791 | 0.00724% |
+| `biblioteka_nauki` | `artykuł` | 91,241 | 0.01355% |
+| `biblioteka_nauki` | `parlament` | 32,868 | 0.00488% |
+| `biblioteka_nauki` | `rozporządzenie` | 19,594 | 0.00291% |
+| `biblioteka_nauki` | `w pobliżu` | 3,378 | 0.00050% |
+| `biblioteka_nauki` | `mieszkańców` | 34,392 | 0.00511% |
+| `biblioteka_nauki` | `Dz.U.` | 33,098 | 0.00491% |
 | `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
 | `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
 | `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
@@ -642,51 +416,51 @@ Raw counts and token-normalized shares are regenerated from the current Parquet
 | `dziennik_ustaw` | `w pobliżu` | 1,087 | 0.00022% |
 | `dziennik_ustaw` | `mieszkańców` | 8,025 | 0.00165% |
 | `dziennik_ustaw` | `Dz.U.` | 158 | 0.00003% |
-| `edukacja_medialna_pl` | `w roku` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `klasyfikacji` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `ustawa` | 31 | 0.00435% |
-| `edukacja_medialna_pl` | `artykuł` | 167 | 0.02342% |
-| `edukacja_medialna_pl` | `parlament` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `w pobliżu` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `mieszkańców` | 10 | 0.00140% |
-| `edukacja_medialna_pl` | `Dz.U.` | 0 | 0.00000% |
 | `eltec_pol` | `w roku` | 108 | 0.00050% |
 | `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
 | `eltec_pol` | `ustawa` | 153 | 0.00071% |
-| `eltec_pol` | `artykuł` | 174 | 0.00081% |
+| `eltec_pol` | `artykuł` | 173 | 0.00081% |
 | `eltec_pol` | `parlament` | 95 | 0.00044% |
 | `eltec_pol` | `rozporządzenie` | 35 | 0.00016% |
 | `eltec_pol` | `w pobliżu` | 246 | 0.00114% |
 | `eltec_pol` | `mieszkańców` | 214 | 0.00100% |
 | `eltec_pol` | `Dz.U.` | 0 | 0.00000% |
-| `eurlex` | `w roku` | 39,642 | 0.00170% |
-| `eurlex` | `klasyfikacji` | 57,321 | 0.00246% |
-| `eurlex` | `ustawa` | 30,329 | 0.00130% |
-| `eurlex` | `artykuł` | 1,774,561 | 0.07606% |
-| `eurlex` | `parlament` | 779,474 | 0.03341% |
-| `eurlex` | `rozporządzenie` | 1,200,341 | 0.05145% |
-| `eurlex` | `w pobliżu` | 5,754 | 0.00025% |
-| `eurlex` | `mieszkańców` | 9,389 | 0.00040% |
-| `eurlex` | `Dz.U.` | 914,962 | 0.03922% |
-| `global_voices` | `w roku` | 146 | 0.00423% |
-| `global_voices` | `klasyfikacji` | 4 | 0.00012% |
-| `global_voices` | `ustawa` | 148 | 0.00428% |
-| `global_voices` | `artykuł` | 913 | 0.02643% |
-| `global_voices` | `parlament` | 348 | 0.01008% |
-| `global_voices` | `rozporządzenie` | 23 | 0.00067% |
-| `global_voices` | `w pobliżu` | 90 | 0.00261% |
-| `global_voices` | `mieszkańców` | 463 | 0.01341% |
+| `eurlex` | `w roku` | 40,009 | 0.00168% |
+| `eurlex` | `klasyfikacji` | 59,428 | 0.00250% |
+| `eurlex` | `ustawa` | 30,368 | 0.00128% |
+| `eurlex` | `artykuł` | 1,774,958 | 0.07464% |
+| `eurlex` | `parlament` | 780,286 | 0.03281% |
+| `eurlex` | `rozporządzenie` | 1,202,658 | 0.05057% |
+| `eurlex` | `w pobliżu` | 6,088 | 0.00026% |
+| `eurlex` | `mieszkańców` | 9,441 | 0.00040% |
+| `eurlex` | `Dz.U.` | 915,707 | 0.03851% |
+| `european_hplt_v3_pl` | `w roku` | 113,501 | 0.00444% |
+| `european_hplt_v3_pl` | `klasyfikacji` | 24,675 | 0.00097% |
+| `european_hplt_v3_pl` | `ustawa` | 16,067 | 0.00063% |
+| `european_hplt_v3_pl` | `artykuł` | 283,875 | 0.01111% |
+| `european_hplt_v3_pl` | `parlament` | 45,516 | 0.00178% |
+| `european_hplt_v3_pl` | `rozporządzenie` | 11,841 | 0.00046% |
+| `european_hplt_v3_pl` | `w pobliżu` | 44,108 | 0.00173% |
+| `european_hplt_v3_pl` | `mieszkańców` | 172,896 | 0.00677% |
+| `european_hplt_v3_pl` | `Dz.U.` | 9,487 | 0.00037% |
+| `global_voices` | `w roku` | 160 | 0.00431% |
+| `global_voices` | `klasyfikacji` | 5 | 0.00013% |
+| `global_voices` | `ustawa` | 157 | 0.00423% |
+| `global_voices` | `artykuł` | 1,047 | 0.02818% |
+| `global_voices` | `parlament` | 366 | 0.00985% |
+| `global_voices` | `rozporządzenie` | 26 | 0.00070% |
+| `global_voices` | `w pobliżu` | 105 | 0.00283% |
+| `global_voices` | `mieszkańców` | 508 | 0.01367% |
 | `global_voices` | `Dz.U.` | 1 | 0.00003% |
-| `govpl` | `w roku` | 3,228 | 0.00473% |
-| `govpl` | `klasyfikacji` | 514 | 0.00075% |
-| `govpl` | `ustawa` | 4,562 | 0.00668% |
-| `govpl` | `artykuł` | 1,659 | 0.00243% |
-| `govpl` | `parlament` | 3,611 | 0.00529% |
-| `govpl` | `rozporządzenie` | 4,024 | 0.00589% |
-| `govpl` | `w pobliżu` | 649 | 0.00095% |
-| `govpl` | `mieszkańców` | 12,715 | 0.01862% |
-| `govpl` | `Dz.U.` | 2,921 | 0.00428% |
+| `govpl` | `w roku` | 3,372 | 0.00418% |
+| `govpl` | `klasyfikacji` | 526 | 0.00065% |
+| `govpl` | `ustawa` | 4,727 | 0.00586% |
+| `govpl` | `artykuł` | 2,417 | 0.00300% |
+| `govpl` | `parlament` | 3,967 | 0.00492% |
+| `govpl` | `rozporządzenie` | 4,102 | 0.00509% |
+| `govpl` | `w pobliżu` | 892 | 0.00111% |
+| `govpl` | `mieszkańców` | 13,105 | 0.01625% |
+| `govpl` | `Dz.U.` | 3,114 | 0.00386% |
 | `nkjp1m` | `w roku` | 109 | 0.00419% |
 | `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
 | `nkjp1m` | `ustawa` | 79 | 0.00304% |
@@ -696,177 +470,105 @@ Raw counts and token-normalized shares are regenerated from the current Parquet
 | `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
 | `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
 | `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
-| `nonsa` | `w roku` | 522 | 0.00338% |
-| `nonsa` | `klasyfikacji` | 100 | 0.00065% |
-| `nonsa` | `ustawa` | 70 | 0.00045% |
-| `nonsa` | `artykuł` | 3,009 | 0.01949% |
-| `nonsa` | `parlament` | 307 | 0.00199% |
-| `nonsa` | `rozporządzenie` | 14 | 0.00009% |
-| `nonsa` | `w pobliżu` | 316 | 0.00205% |
-| `nonsa` | `mieszkańców` | 1,167 | 0.00756% |
-| `nonsa` | `Dz.U.` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w roku` | 6 | 0.00106% |
-| `open_agh_chemistry_pl` | `klasyfikacji` | 9 | 0.00160% |
-| `open_agh_chemistry_pl` | `ustawa` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `artykuł` | 3 | 0.00053% |
-| `open_agh_chemistry_pl` | `parlament` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w pobliżu` | 17 | 0.00301% |
-| `open_agh_chemistry_pl` | `mieszkańców` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `Dz.U.` | 0 | 0.00000% |
-| `open_icm_pl` | `w roku` | 19 | 0.00430% |
-| `open_icm_pl` | `klasyfikacji` | 9 | 0.00204% |
-| `open_icm_pl` | `ustawa` | 30 | 0.00680% |
-| `open_icm_pl` | `artykuł` | 121 | 0.02741% |
-| `open_icm_pl` | `parlament` | 34 | 0.00770% |
-| `open_icm_pl` | `rozporządzenie` | 4 | 0.00091% |
-| `open_icm_pl` | `w pobliżu` | 0 | 0.00000% |
-| `open_icm_pl` | `mieszkańców` | 27 | 0.00612% |
-| `open_icm_pl` | `Dz.U.` | 14 | 0.00317% |
-| `parliamentary` | `w roku` | 174,916 | 0.01163% |
-| `parliamentary` | `klasyfikacji` | 10,872 | 0.00072% |
-| `parliamentary` | `ustawa` | 444,839 | 0.02957% |
-| `parliamentary` | `artykuł` | 176,400 | 0.01173% |
-| `parliamentary` | `parlament` | 297,729 | 0.01979% |
-| `parliamentary` | `rozporządzenie` | 104,305 | 0.00693% |
-| `parliamentary` | `w pobliżu` | 4,584 | 0.00030% |
-| `parliamentary` | `mieszkańców` | 73,641 | 0.00490% |
-| `parliamentary` | `Dz.U.` | 23,615 | 0.00157% |
-| `plwiki_talk` | `w roku` | 2,632 | 0.00474% |
-| `plwiki_talk` | `klasyfikacji` | 630 | 0.00113% |
-| `plwiki_talk` | `ustawa` | 1,365 | 0.00246% |
-| `plwiki_talk` | `artykuł` | 75,408 | 0.13571% |
-| `plwiki_talk` | `parlament` | 1,241 | 0.00223% |
-| `plwiki_talk` | `rozporządzenie` | 464 | 0.00084% |
-| `plwiki_talk` | `w pobliżu` | 421 | 0.00076% |
-| `plwiki_talk` | `mieszkańców` | 2,297 | 0.00413% |
-| `plwiki_talk` | `Dz.U.` | 289 | 0.00052% |
-| `plwiki_user_talk` | `w roku` | 2,439 | 0.00064% |
-| `plwiki_user_talk` | `klasyfikacji` | 1,213 | 0.00032% |
-| `plwiki_user_talk` | `ustawa` | 1,379 | 0.00036% |
-| `plwiki_user_talk` | `artykuł` | 1,211,479 | 0.31796% |
-| `plwiki_user_talk` | `parlament` | 2,043 | 0.00054% |
-| `plwiki_user_talk` | `rozporządzenie` | 618 | 0.00016% |
-| `plwiki_user_talk` | `w pobliżu` | 568 | 0.00015% |
-| `plwiki_user_talk` | `mieszkańców` | 2,755 | 0.00072% |
-| `plwiki_user_talk` | `Dz.U.` | 234 | 0.00006% |
-| `rock_pollub_pl` | `w roku` | 22 | 0.00187% |
-| `rock_pollub_pl` | `klasyfikacji` | 150 | 0.01273% |
-| `rock_pollub_pl` | `ustawa` | 21 | 0.00178% |
-| `rock_pollub_pl` | `artykuł` | 173 | 0.01469% |
-| `rock_pollub_pl` | `parlament` | 25 | 0.00212% |
-| `rock_pollub_pl` | `rozporządzenie` | 19 | 0.00161% |
-| `rock_pollub_pl` | `w pobliżu` | 4 | 0.00034% |
-| `rock_pollub_pl` | `mieszkańców` | 3 | 0.00025% |
-| `rock_pollub_pl` | `Dz.U.` | 12 | 0.00102% |
-| `sejm_api` | `w roku` | 2,002 | 0.00653% |
-| `sejm_api` | `klasyfikacji` | 125 | 0.00041% |
-| `sejm_api` | `ustawa` | 10,937 | 0.03570% |
-| `sejm_api` | `artykuł` | 749 | 0.00244% |
-| `sejm_api` | `parlament` | 14,159 | 0.04621% |
-| `sejm_api` | `rozporządzenie` | 1,088 | 0.00355% |
-| `sejm_api` | `w pobliżu` | 85 | 0.00028% |
-| `sejm_api` | `mieszkańców` | 2,689 | 0.00878% |
+| `parliamentary` | `w roku` | 198,192 | 0.01203% |
+| `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
+| `parliamentary` | `ustawa` | 459,179 | 0.02788% |
+| `parliamentary` | `artykuł` | 182,038 | 0.01105% |
+| `parliamentary` | `parlament` | 309,695 | 0.01881% |
+| `parliamentary` | `rozporządzenie` | 113,547 | 0.00689% |
+| `parliamentary` | `w pobliżu` | 4,964 | 0.00030% |
+| `parliamentary` | `mieszkańców` | 78,048 | 0.00474% |
+| `parliamentary` | `Dz.U.` | 23,809 | 0.00145% |
+| `samorzad_gov_pl` | `w roku` | 3,661 | 0.00890% |
+| `samorzad_gov_pl` | `klasyfikacji` | 520 | 0.00126% |
+| `samorzad_gov_pl` | `ustawa` | 1,823 | 0.00443% |
+| `samorzad_gov_pl` | `artykuł` | 1,269 | 0.00308% |
+| `samorzad_gov_pl` | `parlament` | 1,218 | 0.00296% |
+| `samorzad_gov_pl` | `rozporządzenie` | 1,409 | 0.00342% |
+| `samorzad_gov_pl` | `w pobliżu` | 401 | 0.00097% |
+| `samorzad_gov_pl` | `mieszkańców` | 14,450 | 0.03511% |
+| `samorzad_gov_pl` | `Dz.U.` | 1,380 | 0.00335% |
+| `sejm_api` | `w roku` | 2,123 | 0.00584% |
+| `sejm_api` | `klasyfikacji` | 126 | 0.00035% |
+| `sejm_api` | `ustawa` | 11,042 | 0.03039% |
+| `sejm_api` | `artykuł` | 808 | 0.00222% |
+| `sejm_api` | `parlament` | 14,230 | 0.03916% |
+| `sejm_api` | `rozporządzenie` | 1,095 | 0.00301% |
+| `sejm_api` | `w pobliżu` | 87 | 0.00024% |
+| `sejm_api` | `mieszkańców` | 2,697 | 0.00742% |
 | `sejm_api` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_api_2011_2022` | `w roku` | 2,592 | 0.00965% |
-| `sejm_api_2011_2022` | `klasyfikacji` | 50 | 0.00019% |
-| `sejm_api_2011_2022` | `ustawa` | 8,934 | 0.03325% |
-| `sejm_api_2011_2022` | `artykuł` | 1,079 | 0.00402% |
-| `sejm_api_2011_2022` | `parlament` | 11,246 | 0.04186% |
-| `sejm_api_2011_2022` | `rozporządzenie` | 689 | 0.00256% |
-| `sejm_api_2011_2022` | `w pobliżu` | 71 | 0.00026% |
-| `sejm_api_2011_2022` | `mieszkańców` | 2,109 | 0.00785% |
-| `sejm_api_2011_2022` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_committee_transcripts` | `w roku` | 6,980 | 0.00623% |
-| `sejm_committee_transcripts` | `klasyfikacji` | 282 | 0.00025% |
-| `sejm_committee_transcripts` | `ustawa` | 19,420 | 0.01734% |
-| `sejm_committee_transcripts` | `artykuł` | 13,837 | 0.01235% |
-| `sejm_committee_transcripts` | `parlament` | 18,245 | 0.01629% |
-| `sejm_committee_transcripts` | `rozporządzenie` | 5,255 | 0.00469% |
-| `sejm_committee_transcripts` | `w pobliżu` | 146 | 0.00013% |
-| `sejm_committee_transcripts` | `mieszkańców` | 4,129 | 0.00369% |
-| `sejm_committee_transcripts` | `Dz.U.` | 73 | 0.00007% |
-| `studia_bas` | `w roku` | 87 | 0.00386% |
-| `studia_bas` | `klasyfikacji` | 85 | 0.00377% |
-| `studia_bas` | `ustawa` | 312 | 0.01383% |
-| `studia_bas` | `artykuł` | 272 | 0.01206% |
-| `studia_bas` | `parlament` | 154 | 0.00683% |
-| `studia_bas` | `rozporządzenie` | 180 | 0.00798% |
-| `studia_bas` | `w pobliżu` | 8 | 0.00035% |
-| `studia_bas` | `mieszkańców` | 359 | 0.01591% |
-| `studia_bas` | `Dz.U.` | 476 | 0.02110% |
-| `ted_pl` | `w roku` | 3,586 | 0.00906% |
-| `ted_pl` | `klasyfikacji` | 311 | 0.00079% |
-| `ted_pl` | `ustawa` | 2,236 | 0.00565% |
-| `ted_pl` | `artykuł` | 1,342 | 0.00339% |
-| `ted_pl` | `parlament` | 691 | 0.00175% |
-| `ted_pl` | `rozporządzenie` | 4,275 | 0.01080% |
-| `ted_pl` | `w pobliżu` | 18 | 0.00005% |
-| `ted_pl` | `mieszkańców` | 487 | 0.00123% |
-| `ted_pl` | `Dz.U.` | 4,202 | 0.01062% |
-| `wiadomosci_statystyczne_pl` | `w roku` | 52 | 0.00345% |
-| `wiadomosci_statystyczne_pl` | `klasyfikacji` | 122 | 0.00810% |
-| `wiadomosci_statystyczne_pl` | `ustawa` | 38 | 0.00252% |
-| `wiadomosci_statystyczne_pl` | `artykuł` | 322 | 0.02138% |
-| `wiadomosci_statystyczne_pl` | `parlament` | 29 | 0.00193% |
-| `wiadomosci_statystyczne_pl` | `rozporządzenie` | 54 | 0.00359% |
-| `wiadomosci_statystyczne_pl` | `w pobliżu` | 2 | 0.00013% |
-| `wiadomosci_statystyczne_pl` | `mieszkańców` | 227 | 0.01507% |
-| `wiadomosci_statystyczne_pl` | `Dz.U.` | 46 | 0.00305% |
-| `wikibooks` | `w roku` | 311 | 0.00204% |
+| `wikibooks` | `w roku` | 319 | 0.00205% |
 | `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
-| `wikibooks` | `ustawa` | 164 | 0.00108% |
-| `wikibooks` | `artykuł` | 721 | 0.00474% |
-| `wikibooks` | `parlament` | 281 | 0.00185% |
-| `wikibooks` | `rozporządzenie` | 131 | 0.00086% |
-| `wikibooks` | `w pobliżu` | 122 | 0.00080% |
-| `wikibooks` | `mieszkańców` | 199 | 0.00131% |
-| `wikibooks` | `Dz.U.` | 16 | 0.00011% |
-| `wikinews` | `w roku` | 449 | 0.00409% |
-| `wikinews` | `klasyfikacji` | 638 | 0.00582% |
-| `wikinews` | `ustawa` | 389 | 0.00355% |
-| `wikinews` | `artykuł` | 2,462 | 0.02245% |
-| `wikinews` | `parlament` | 2,064 | 0.01882% |
-| `wikinews` | `rozporządzenie` | 168 | 0.00153% |
-| `wikinews` | `w pobliżu` | 455 | 0.00415% |
-| `wikinews` | `mieszkańców` | 1,011 | 0.00922% |
-| `wikinews` | `Dz.U.` | 27 | 0.00025% |
-| `wikipedia` | `w roku` | 157,059 | 0.01280% |
-| `wikipedia` | `klasyfikacji` | 79,082 | 0.00645% |
-| `wikipedia` | `ustawa` | 15,755 | 0.00128% |
-| `wikipedia` | `artykuł` | 43,982 | 0.00358% |
-| `wikipedia` | `parlament` | 80,390 | 0.00655% |
-| `wikipedia` | `rozporządzenie` | 9,008 | 0.00073% |
-| `wikipedia` | `w pobliżu` | 55,953 | 0.00456% |
-| `wikipedia` | `mieszkańców` | 179,796 | 0.01465% |
-| `wikipedia` | `Dz.U.` | 515 | 0.00004% |
-| `wikivoyage` | `w roku` | 460 | 0.00327% |
-| `wikivoyage` | `klasyfikacji` | 15 | 0.00011% |
-| `wikivoyage` | `ustawa` | 29 | 0.00021% |
-| `wikivoyage` | `artykuł` | 616 | 0.00437% |
-| `wikivoyage` | `parlament` | 154 | 0.00109% |
-| `wikivoyage` | `rozporządzenie` | 31 | 0.00022% |
-| `wikivoyage` | `w pobliżu` | 5,865 | 0.04164% |
-| `wikivoyage` | `mieszkańców` | 2,883 | 0.02047% |
-| `wikivoyage` | `Dz.U.` | 0 | 0.00000% |
-| `wiktionary_examples` | `w roku` | 7 | 0.00338% |
-| `wiktionary_examples` | `klasyfikacji` | 1 | 0.00048% |
-| `wiktionary_examples` | `ustawa` | 3 | 0.00145% |
-| `wiktionary_examples` | `artykuł` | 12 | 0.00579% |
-| `wiktionary_examples` | `parlament` | 1 | 0.00048% |
-| `wiktionary_examples` | `rozporządzenie` | 1 | 0.00048% |
-| `wiktionary_examples` | `w pobliżu` | 6 | 0.00290% |
-| `wiktionary_examples` | `mieszkańców` | 4 | 0.00193% |
+| `wikibooks` | `ustawa` | 165 | 0.00106% |
+| `wikibooks` | `artykuł` | 732 | 0.00470% |
+| `wikibooks` | `parlament` | 283 | 0.00182% |
+| `wikibooks` | `rozporządzenie` | 131 | 0.00084% |
+| `wikibooks` | `w pobliżu` | 125 | 0.00080% |
+| `wikibooks` | `mieszkańców` | 204 | 0.00131% |
+| `wikibooks` | `Dz.U.` | 16 | 0.00010% |
+| `wikinews` | `w roku` | 449 | 0.00370% |
+| `wikinews` | `klasyfikacji` | 639 | 0.00526% |
+| `wikinews` | `ustawa` | 407 | 0.00335% |
+| `wikinews` | `artykuł` | 2,474 | 0.02038% |
+| `wikinews` | `parlament` | 2,530 | 0.02084% |
+| `wikinews` | `rozporządzenie` | 168 | 0.00138% |
+| `wikinews` | `w pobliżu` | 455 | 0.00375% |
+| `wikinews` | `mieszkańców` | 1,014 | 0.00835% |
+| `wikinews` | `Dz.U.` | 27 | 0.00022% |
+| `wikipedia` | `w roku` | 143,023 | 0.02022% |
+| `wikipedia` | `klasyfikacji` | 46,043 | 0.00651% |
+| `wikipedia` | `ustawa` | 9,536 | 0.00135% |
+| `wikipedia` | `artykuł` | 28,165 | 0.00398% |
+| `wikipedia` | `parlament` | 57,863 | 0.00818% |
+| `wikipedia` | `rozporządzenie` | 5,637 | 0.00080% |
+| `wikipedia` | `w pobliżu` | 41,915 | 0.00593% |
+| `wikipedia` | `mieszkańców` | 122,766 | 0.01736% |
+| `wikipedia` | `Dz.U.` | 232 | 0.00003% |
+| `wikiquote` | `w roku` | 608 | 0.00191% |
+| `wikiquote` | `klasyfikacji` | 15 | 0.00005% |
+| `wikiquote` | `ustawa` | 357 | 0.00112% |
+| `wikiquote` | `artykuł` | 606 | 0.00190% |
+| `wikiquote` | `parlament` | 1,271 | 0.00398% |
+| `wikiquote` | `rozporządzenie` | 27 | 0.00008% |
+| `wikiquote` | `w pobliżu` | 207 | 0.00065% |
+| `wikiquote` | `mieszkańców` | 527 | 0.00165% |
+| `wikiquote` | `Dz.U.` | 6 | 0.00002% |
+| `wikisource` | `w roku` | 16,571 | 0.00207% |
+| `wikisource` | `klasyfikacji` | 166 | 0.00002% |
+| `wikisource` | `ustawa` | 8,156 | 0.00102% |
+| `wikisource` | `artykuł` | 16,230 | 0.00202% |
+| `wikisource` | `parlament` | 6,119 | 0.00076% |
+| `wikisource` | `rozporządzenie` | 1,651 | 0.00021% |
+| `wikisource` | `w pobliżu` | 13,921 | 0.00174% |
+| `wikisource` | `mieszkańców` | 14,335 | 0.00179% |
+| `wikisource` | `Dz.U.` | 5 | 0.00000% |
+| `wikivoyage` | `w roku` | 609 | 0.00356% |
+| `wikivoyage` | `klasyfikacji` | 21 | 0.00012% |
+| `wikivoyage` | `ustawa` | 46 | 0.00027% |
+| `wikivoyage` | `artykuł` | 657 | 0.00384% |
+| `wikivoyage` | `parlament` | 249 | 0.00145% |
+| `wikivoyage` | `rozporządzenie` | 34 | 0.00020% |
+| `wikivoyage` | `w pobliżu` | 6,480 | 0.03783% |
+| `wikivoyage` | `mieszkańców` | 4,100 | 0.02394% |
+| `wikivoyage` | `Dz.U.` | 1 | 0.00001% |
+| `wiktionary_examples` | `w roku` | 56 | 0.00502% |
+| `wiktionary_examples` | `klasyfikacji` | 5 | 0.00045% |
+| `wiktionary_examples` | `ustawa` | 26 | 0.00233% |
+| `wiktionary_examples` | `artykuł` | 42 | 0.00376% |
+| `wiktionary_examples` | `parlament` | 28 | 0.00251% |
+| `wiktionary_examples` | `rozporządzenie` | 5 | 0.00045% |
+| `wiktionary_examples` | `w pobliżu` | 32 | 0.00287% |
+| `wiktionary_examples` | `mieszkańców` | 64 | 0.00574% |
 | `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% |
+| `wolne_lektury` | `w roku` | 1,898 | 0.00184% |
+| `wolne_lektury` | `klasyfikacji` | 80 | 0.00008% |
+| `wolne_lektury` | `ustawa` | 1,060 | 0.00103% |
+| `wolne_lektury` | `artykuł` | 1,824 | 0.00177% |
+| `wolne_lektury` | `parlament` | 672 | 0.00065% |
+| `wolne_lektury` | `rozporządzenie` | 128 | 0.00012% |
+| `wolne_lektury` | `w pobliżu` | 2,073 | 0.00201% |
+| `wolne_lektury` | `mieszkańców` | 1,658 | 0.00161% |
+| `wolne_lektury` | `Dz.U.` | 5 | 0.00000% |
 
 ![Overall pattern counts](artifacts/pattern_frequency_overall.png)
 

artifacts/kultura_bez_barier_pl_ontology_manifest.json

@@ -19,7 +19,7 @@
       "id": "claim:replayable",
       "statement": "The retained dataset files replay from the pinned catalogue and PDF snapshot under the published protocol.",
       "supported_by": [
-        "evidence:checksums:a03df6c651c3b37cd2d9d6264f5edf2194f8d47cfd63b1b2b2f507558a8a28a8"
+        "evidence:checksums:99aefe134f168e718b685ddd6c7b7cd722ff56b66afa3ed27742fc827c02a922"
       ]
     },
     {
@@ -27,7 +27,7 @@
       "id": "claim:rights-qualified",
       "statement": "The official catalogue presents the linked foundation-authored publications as CC BY-SA 3.0; per-PDF embedded licensing is not asserted.",
       "supported_by": [
-        "evidence:qa:5c3b4f16abc604614e14388f5c11dd051c4452ff815f79cdb8365f687ecc290e"
+        "evidence:qa:87b67c4b2f35b27cb6f9b0f80efcd335df4d6f96351635f262e527361277dd19"
       ]
     }
   ],
@@ -90,105 +90,6 @@
         }
       },
       "produced_by": "run:e451d83a46337b6ac0db4abe552a9775b110b06876b6ec252922ddb4c18fd657"
-    },
-    {
-      "id": "evidence:checksums:16a096fdb709a0f894d8b9c50feac5bdf44a5356b28f27fdee639b17f7fc9992",
-      "observation_type": "checksums",
-      "payload": {
-        "NOTICE.md": "69db282ba649ab9d7dee2d52cee24005b046fdf3371198642ecbb15f6d110d12",
-        "README.md": "04ff8ca176daa3b7a5ca926c1ee9c0f9aa481d05c9f7b68e074ca91c98cb1d77",
-        "artifacts/attribution.jsonl": "0d8880a355fe0b02d9adbaf65fc58464ba95b835fd7fd663b303381573c437d9",
-        "artifacts/catalog.html": "7bc2a7c995dd67a58e592e63311a53f5bebe0c2c580ca403574437a3254253bf",
-        "artifacts/decisions.jsonl": "edc18820ed6819721650d59d530375246daa32e86fd7ff6e66d8bcada08ea16e",
-        "artifacts/inventory.json": "496bd4655b15e9573e346fc6322b42a59b40739580fc249c9b318e0c91d9acc5",
-        "artifacts/qa.json": "1108104bf119d9eb30b9dbcb1a979f4a138ca5de10c3848306e59f2d2333da1d",
-        "artifacts/raw/abc_gosc_niepelnosprawny.pdf": "8918966789ed103efca9c2272363ff7ea51e703bb90585633f16e6198dbe6ff6",
-        "artifacts/raw/abc_gosc_niepelnosprawny_cz2.pdf": "ad16b7ed02fb1aebd03c640d52c1baf664b6f7e77e013230985e5902c4dffcf1",
-        "artifacts/raw/audiodeskrypcja_obrazow.pdf": "ee6b90bf064f3ab9affc5a2568bc28a89a519a9a1cf87506ed1e0b877cba0664",
-        "artifacts/raw/audiodeskrypcja_zasady.pdf": "ada6db63e05aa2f4dd3474d1f7c7a41b74fd10c19de335015d40eb814ecba97f",
-        "artifacts/raw/checklisty_warsztaty_kulinarne.pdf": "ca8b0adbe3142fdad18bac76b35e1406b3ed020a556c26a3187efdc1d5f31095",
-        "artifacts/raw/filmolekcje.pdf": "fde70eecb7c26bbb7c3881d3c1ad1931c1ceb16e6d5ff13dfe102ddfa4aedd2a",
-        "artifacts/raw/jak_udostepniac_kulture.pdf": "9b3ad5a21a15d41025ad9d1b9ecbac95149ba8b192e85429871c57458a7d7f04",
-        "artifacts/raw/model_dostepnej_kultury_2023.pdf": "96f0600ec29fb3e4845099c03eee3c08e89d2c703ddc08db305d5c1c043abeea",
-        "artifacts/raw/napisy_dla_nieslyszacych.pdf": "ca979ff6fd85dde0d2a5e1affb5e9b6bb83e8cda6743ab231eebf0f96f8dce96",
-        "artifacts/raw/paszport_do_sztuki.pdf": "d07ae6db501eeb7cf73972e5a9efcf92f9ada5786163d87d8df20d8bc8ca539e",
-        "artifacts/raw/podsumowanie_wizyt_studyjnych.pdf": "7df24e84f13fb51ef9b4257dce527e626c18c2c55fc80b3ef38489a96f6b6ac5",
-        "artifacts/raw/przewodnik_po_dostepnosci.pdf": "84cf7c9694556be3c5926fee6613cd81a57416346c69a6e03a749c9432931fc8",
-        "artifacts/run.json": "d2513ac92491de72a18ddbec55c38b79d17f37d6060cd49a0671be9e07df6c25",
-        "artifacts/sample.jsonl": "e8b7d7d5962d69b6103ac6359798c2ceb6e72e63c3e933667a8e33d85e23146c",
-        "artifacts/stats.json": "87ee0cfa7fbadfc734cf7ebc25be88eea8496cf9924d486db7bb0cc3f41289ad",
-        "data/train-00000-of-00001.parquet": "76c36ab04179e6106e97343372f855956503968f6f0bfe1f7949e36995e3b8fb",
-        "src/build_kultura_bez_barier_pl.py": "ee0771bbf46243a8a65b790fe245b468028e61724ea1b7339b5dd2a2206ff4cc",
-        "src/requirements.txt": "807ccb72d622706ea3b41d39190c6258a17d4f5472eeab294a9d483eb4c44ac1",
-        "src/test_kultura_bez_barier_contribution.py": "0962312fc13fdd8fc33a729b505896311455dcd623dcd543317378efcbfcb523"
-      },
-      "produced_by": "run:0996ebdceaa8dd914080d2bd00e1b4730faf91bbc4c17cb66371a143302d9f2a"
-    },
-    {
-      "id": "evidence:qa:5c3b4f16abc604614e14388f5c11dd051c4452ff815f79cdb8365f687ecc290e",
-      "observation_type": "qa",
-      "payload": {
-        "benchmark_overlap": "pending",
-        "cross_source_dedup": "pending target integration",
-        "exact_normalized_dedup": true,
-        "license_gate": "official catalogue-level CC BY-SA 3.0 declaration; per-PDF embedded notices not required or asserted",
-        "limitations": [
-          "catalogue-level rights statement requires maintainer/legal interpretation for each linked publication",
-          "PDF extraction can flatten tables and omit images",
-          "embedded third-party quotations require review",
-          "pattern checks are not comprehensive de-identification",
-          "text novelty and training benefit are not asserted"
-        ],
-        "near_dedup": {
-          "method": "seeded MinHash 128 / LSH 0.8 candidates / exact 5-word Jaccard >= 0.9",
-          "removed": []
-        },
-        "pii_pattern_matches": {
-          "email": 16,
-          "labelled_phone": 1,
-          "ted_pl_email": 0,
-          "ted_pl_national_id": 0,
-          "ted_pl_phone": 12
-        }
-      },
-      "produced_by": "run:0996ebdceaa8dd914080d2bd00e1b4730faf91bbc4c17cb66371a143302d9f2a"
-    },
-    {
-      "id": "evidence:checksums:a03df6c651c3b37cd2d9d6264f5edf2194f8d47cfd63b1b2b2f507558a8a28a8",
-      "observation_type": "checksums",
-      "payload": {
-        "NOTICE.md": "69db282ba649ab9d7dee2d52cee24005b046fdf3371198642ecbb15f6d110d12",
-        "README.md": "04ff8ca176daa3b7a5ca926c1ee9c0f9aa481d05c9f7b68e074ca91c98cb1d77",
-        "artifacts/attribution.jsonl": "028e915ac85c5e2ad76aabbece77d74946b466c5b841e0d92dc8569a4ea55dd9",
-        "artifacts/catalog.html": "7bc2a7c995dd67a58e592e63311a53f5bebe0c2c580ca403574437a3254253bf",
-        "artifacts/decisions.jsonl": "edc18820ed6819721650d59d530375246daa32e86fd7ff6e66d8bcada08ea16e",
-        "artifacts/inventory.json": "496bd4655b15e9573e346fc6322b42a59b40739580fc249c9b318e0c91d9acc5",
-        "artifacts/licence-basis.json": "acafe0afa03826821080f984be633899f86978e448071f7698ce48fbc5c85c37",
-        "artifacts/qa.json": "1108104bf119d9eb30b9dbcb1a979f4a138ca5de10c3848306e59f2d2333da1d",
-        "artifacts/raw/abc_gosc_niepelnosprawny.pdf": "8918966789ed103efca9c2272363ff7ea51e703bb90585633f16e6198dbe6ff6",
-        "artifacts/raw/abc_gosc_niepelnosprawny_cz2.pdf": "ad16b7ed02fb1aebd03c640d52c1baf664b6f7e77e013230985e5902c4dffcf1",
-        "artifacts/raw/audiodeskrypcja_obrazow.pdf": "ee6b90bf064f3ab9affc5a2568bc28a89a519a9a1cf87506ed1e0b877cba0664",
-        "artifacts/raw/audiodeskrypcja_zasady.pdf": "ada6db63e05aa2f4dd3474d1f7c7a41b74fd10c19de335015d40eb814ecba97f",
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-        "artifacts/raw/filmolekcje.pdf": "fde70eecb7c26bbb7c3881d3c1ad1931c1ceb16e6d5ff13dfe102ddfa4aedd2a",
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-        "artifacts/raw/napisy_dla_nieslyszacych.pdf": "ca979ff6fd85dde0d2a5e1affb5e9b6bb83e8cda6743ab231eebf0f96f8dce96",
-        "artifacts/raw/paszport_do_sztuki.pdf": "d07ae6db501eeb7cf73972e5a9efcf92f9ada5786163d87d8df20d8bc8ca539e",
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-        "artifacts/review.csv": "a2735805340b0a5f7de22edced81b7e0130729352705c8997f604ca292ccb5d3",
-        "artifacts/run.json": "d2513ac92491de72a18ddbec55c38b79d17f37d6060cd49a0671be9e07df6c25",
-        "artifacts/sample.jsonl": "40f1daf74bf1c3c6ee927306ba19155b36560192fd6e56f190b039271765423e",
-        "artifacts/stats.json": "53c0e1236633ba8296aa83887a950c2944ad284fbe74fd8a3ad41b213fa5ea2e",
-        "data/train-00000-of-00001.parquet": "ae6126991199dc2a3e7b5627fb6d66b4c29a0179bc2d42bcda5a2dbcc380af4e",
-        "src/build_kultura_bez_barier_pl.py": "ee0771bbf46243a8a65b790fe245b468028e61724ea1b7339b5dd2a2206ff4cc",
-        "src/licence_basis_kultura_bez_barier_pl.py": "5c951168040efcd67e912c4f84fac6874fc047a69cd1a23509a8e7d04589ca7b",
-        "src/requirements.txt": "807ccb72d622706ea3b41d39190c6258a17d4f5472eeab294a9d483eb4c44ac1",
-        "src/test_kultura_bez_barier_contribution.py": "d04198abd2d2baeccd10a367851606ca148b02a1b1e72449da208a57ac2e6bc9",
-        "src/test_licence_basis_kultura_bez_barier_pl.py": "031225c8c25794db3bbaead2dc84875d4811ec0c9c7b430ef37e78ccd9980336"
-      },
-      "produced_by": "run:e18ed13a28a81c2f8a8eb248b61794f243187bf3af3ec84067a66b4450a2f9fa"
     }
   ],
   "objects": [
@@ -205,9 +106,7 @@
     "cross-source deduplication",
     "benchmark contamination check",
     "maintainer/legal review of catalogue-level license scope",
-    "controlled training ablation",
-    "replay of the v0.2.6 second PII pass from the raw PDFs (applied offline to the published text)",
-    "scope of the foundation's CC BY-SA 3.0 statement (publications or only the pictograms): to be asked of the foundation (v2#111)"
+    "controlled training ablation"
   ],
   "protocols": [
     {
@@ -217,14 +116,6 @@
     {
       "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"
     }
   ],
   "relations": [
@@ -242,26 +133,6 @@
       "predicate": "VALIDATED_AGAINST",
       "source": "version:dataset:99aefe134f168e718b685ddd6c7b7cd722ff56b66afa3ed27742fc827c02a922",
       "target": "run:3aa251975f82e4a35004fad877d29b933ed49d4308072502e3b193f90babd737"
-    },
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:16a096fdb709a0f894d8b9c50feac5bdf44a5356b28f27fdee639b17f7fc9992",
-      "target": "version:dataset:99aefe134f168e718b685ddd6c7b7cd722ff56b66afa3ed27742fc827c02a922"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:16a096fdb709a0f894d8b9c50feac5bdf44a5356b28f27fdee639b17f7fc9992",
-      "target": "run:0996ebdceaa8dd914080d2bd00e1b4730faf91bbc4c17cb66371a143302d9f2a"
-    },
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:a03df6c651c3b37cd2d9d6264f5edf2194f8d47cfd63b1b2b2f507558a8a28a8",
-      "target": "version:dataset:16a096fdb709a0f894d8b9c50feac5bdf44a5356b28f27fdee639b17f7fc9992"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:a03df6c651c3b37cd2d9d6264f5edf2194f8d47cfd63b1b2b2f507558a8a28a8",
-      "target": "run:e18ed13a28a81c2f8a8eb248b61794f243187bf3af3ec84067a66b4450a2f9fa"
     }
   ],
   "runs": [
@@ -292,20 +163,6 @@
       },
       "success": true,
       "target_main_revision": "a916edecabc2be8832e08fb2bd9dfafcc1d2dd71"
-    },
-    {
-      "finished_at": "2026-10-06T19:11:30.915407+00:00",
-      "id": "run:0996ebdceaa8dd914080d2bd00e1b4730faf91bbc4c17cb66371a143302d9f2a",
-      "protocol": "protocol:pii-rescrub-v1",
-      "started_at": "2026-10-06T19:11:30.669739+00:00",
-      "success": true
-    },
-    {
-      "finished_at": "2026-10-19T22:24:23.304821+00:00",
-      "id": "run:e18ed13a28a81c2f8a8eb248b61794f243187bf3af3ec84067a66b4450a2f9fa",
-      "protocol": "protocol:licence-basis-v1",
-      "started_at": "2026-10-19T22:24:23.100544+00:00",
-      "success": true
     }
   ],
   "schema": "slayer-research-ontology-profile-v1",
@@ -319,16 +176,6 @@
       "content_address": "99aefe134f168e718b685ddd6c7b7cd722ff56b66afa3ed27742fc827c02a922",
       "id": "version:dataset:99aefe134f168e718b685ddd6c7b7cd722ff56b66afa3ed27742fc827c02a922",
       "object": "object:dataset:kultura-bez-barier-pl"
-    },
-    {
-      "content_address": "16a096fdb709a0f894d8b9c50feac5bdf44a5356b28f27fdee639b17f7fc9992",
-      "id": "version:dataset:16a096fdb709a0f894d8b9c50feac5bdf44a5356b28f27fdee639b17f7fc9992",
-      "object": "object:dataset:kultura-bez-barier-pl"
-    },
-    {
-      "content_address": "a03df6c651c3b37cd2d9d6264f5edf2194f8d47cfd63b1b2b2f507558a8a28a8",
-      "id": "version:dataset:a03df6c651c3b37cd2d9d6264f5edf2194f8d47cfd63b1b2b2f507558a8a28a8",
-      "object": "object:dataset:kultura-bez-barier-pl"
     }
   ]
 }

artifacts/open_icm_pl_ontology_manifest.json

@@ -17,9 +17,9 @@
     {
       "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).",
+      "statement": "The proposed DynaWord slice contains 85 records after excluding 10 exact title/DOI overlaps.",
       "supported_by": [
-        "evidence:open-icm-target-stats:fc039f1bf9f46d3962e312f3969e8252b8b39ded2e99442fb0209612ff3918cd",
+        "evidence:open-icm-target-stats:49bfaa6003187e9089ef804aa5ca1bd196bf75925443fab1f352fe0cef19ea0c",
         "evidence:open-icm-target-overlap:c05fccedde6965de8dcaf62fd1233fe3fa77cdd105c426f9f6d5474684303a61"
       ]
     },
@@ -30,14 +30,6 @@
       "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": [
@@ -54,29 +46,6 @@
       "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": [
@@ -93,17 +62,12 @@
     "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)"
+    "controlled training ablation"
   ],
   "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": [
@@ -121,16 +85,6 @@
       "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": [
@@ -160,13 +114,6 @@
         "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",
@@ -180,11 +127,6 @@
       "content_address": "11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31",
       "id": "version:dataset:open-icm-pl-dynaword:11deaba8bd43159bc7d07fc022f84e1555809cb04f5f5ce4e0f3bde953dd5c31",
       "object": "object:dataset:open-icm-pl-dynaword-slice"
-    },
-    {
-      "content_address": "8a5e2cdbd3bb5575907d2d14e740316b1df010fd24d8c230bf779b5a6f9aa399",
-      "id": "version:dataset:open-icm-pl-dynaword:8a5e2cdbd3bb5575907d2d14e740316b1df010fd24d8c230bf779b5a6f9aa399",
-      "object": "object:dataset:open-icm-pl-dynaword-slice"
     }
   ]
 }

artifacts/pattern_frequency_hf_snippet.md

@@ -1,32 +1,41 @@
 ## Phrase frequency in corpus (token-normalized)
 
-- Total token count (tiktoken proxy): **7,036,938,603**
+- Total token count (tiktoken proxy): **9,676,513,980**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 457,031 | 0.0065% |
-| `klasyfikacji` | 169,748 | 0.0024% |
-| `ustawa` | 664,616 | 0.0094% |
-| `artykuł` | 3,423,411 | 0.0486% |
-| `parlament` | 1,284,768 | 0.0183% |
-| `rozporządzenie` | 1,515,578 | 0.0215% |
-| `w pobliżu` | 81,258 | 0.0012% |
-| `mieszkańców` | 337,033 | 0.0048% |
-| `Dz.U.` | 979,489 | 0.0139% |
+| `w roku` | 587,251 | 0.0061% |
+| `klasyfikacji` | 164,888 | 0.0017% |
+| `ustawa` | 670,171 | 0.0069% |
+| `artykuł` | 2,417,211 | 0.0250% |
+| `parlament` | 1,300,050 | 0.0134% |
+| `rozporządzenie` | 1,528,556 | 0.0158% |
+| `w pobliżu` | 127,903 | 0.0013% |
+| `mieszkańców` | 479,471 | 0.0050% |
+| `Dz.U.` | 987,052 | 0.0102% |
 
 ### Per-source shares
 
 | source | pattern | count | share of source tokens |
 |---|---|---:|---:|
-| `biblioteka_nauki` | `w roku` | 24,639 | 0.00417% |
-| `biblioteka_nauki` | `klasyfikacji` | 7,192 | 0.00122% |
-| `biblioteka_nauki` | `ustawa` | 45,001 | 0.00762% |
-| `biblioteka_nauki` | `artykuł` | 84,189 | 0.01425% |
-| `biblioteka_nauki` | `parlament` | 29,217 | 0.00494% |
-| `biblioteka_nauki` | `rozporządzenie` | 18,331 | 0.00310% |
-| `biblioteka_nauki` | `w pobliżu` | 2,783 | 0.00047% |
-| `biblioteka_nauki` | `mieszkańców` | 30,702 | 0.00520% |
-| `biblioteka_nauki` | `Dz.U.` | 31,913 | 0.00540% |
+| `1000_novels` | `w roku` | 659 | 0.00109% |
+| `1000_novels` | `klasyfikacji` | 14 | 0.00002% |
+| `1000_novels` | `ustawa` | 656 | 0.00108% |
+| `1000_novels` | `artykuł` | 729 | 0.00120% |
+| `1000_novels` | `parlament` | 240 | 0.00040% |
+| `1000_novels` | `rozporządzenie` | 65 | 0.00011% |
+| `1000_novels` | `w pobliżu` | 1,262 | 0.00209% |
+| `1000_novels` | `mieszkańców` | 868 | 0.00143% |
+| `1000_novels` | `Dz.U.` | 0 | 0.00000% |
+| `biblioteka_nauki` | `w roku` | 28,728 | 0.00427% |
+| `biblioteka_nauki` | `klasyfikacji` | 9,045 | 0.00134% |
+| `biblioteka_nauki` | `ustawa` | 48,791 | 0.00724% |
+| `biblioteka_nauki` | `artykuł` | 91,241 | 0.01355% |
+| `biblioteka_nauki` | `parlament` | 32,868 | 0.00488% |
+| `biblioteka_nauki` | `rozporządzenie` | 19,594 | 0.00291% |
+| `biblioteka_nauki` | `w pobliżu` | 3,378 | 0.00050% |
+| `biblioteka_nauki` | `mieszkańców` | 34,392 | 0.00511% |
+| `biblioteka_nauki` | `Dz.U.` | 33,098 | 0.00491% |
 | `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
 | `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
 | `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
@@ -36,51 +45,51 @@
 | `dziennik_ustaw` | `w pobliżu` | 1,087 | 0.00022% |
 | `dziennik_ustaw` | `mieszkańców` | 8,025 | 0.00165% |
 | `dziennik_ustaw` | `Dz.U.` | 158 | 0.00003% |
-| `edukacja_medialna_pl` | `w roku` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `klasyfikacji` | 1 | 0.00014% |
-| `edukacja_medialna_pl` | `ustawa` | 31 | 0.00435% |
-| `edukacja_medialna_pl` | `artykuł` | 167 | 0.02342% |
-| `edukacja_medialna_pl` | `parlament` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `w pobliżu` | 0 | 0.00000% |
-| `edukacja_medialna_pl` | `mieszkańców` | 10 | 0.00140% |
-| `edukacja_medialna_pl` | `Dz.U.` | 0 | 0.00000% |
 | `eltec_pol` | `w roku` | 108 | 0.00050% |
 | `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
 | `eltec_pol` | `ustawa` | 153 | 0.00071% |
-| `eltec_pol` | `artykuł` | 174 | 0.00081% |
+| `eltec_pol` | `artykuł` | 173 | 0.00081% |
 | `eltec_pol` | `parlament` | 95 | 0.00044% |
 | `eltec_pol` | `rozporządzenie` | 35 | 0.00016% |
 | `eltec_pol` | `w pobliżu` | 246 | 0.00114% |
 | `eltec_pol` | `mieszkańców` | 214 | 0.00100% |
 | `eltec_pol` | `Dz.U.` | 0 | 0.00000% |
-| `eurlex` | `w roku` | 39,642 | 0.00170% |
-| `eurlex` | `klasyfikacji` | 57,321 | 0.00246% |
-| `eurlex` | `ustawa` | 30,329 | 0.00130% |
-| `eurlex` | `artykuł` | 1,774,561 | 0.07606% |
-| `eurlex` | `parlament` | 779,474 | 0.03341% |
-| `eurlex` | `rozporządzenie` | 1,200,341 | 0.05145% |
-| `eurlex` | `w pobliżu` | 5,754 | 0.00025% |
-| `eurlex` | `mieszkańców` | 9,389 | 0.00040% |
-| `eurlex` | `Dz.U.` | 914,962 | 0.03922% |
-| `global_voices` | `w roku` | 146 | 0.00423% |
-| `global_voices` | `klasyfikacji` | 4 | 0.00012% |
-| `global_voices` | `ustawa` | 148 | 0.00428% |
-| `global_voices` | `artykuł` | 913 | 0.02643% |
-| `global_voices` | `parlament` | 348 | 0.01008% |
-| `global_voices` | `rozporządzenie` | 23 | 0.00067% |
-| `global_voices` | `w pobliżu` | 90 | 0.00261% |
-| `global_voices` | `mieszkańców` | 463 | 0.01341% |
+| `eurlex` | `w roku` | 40,009 | 0.00168% |
+| `eurlex` | `klasyfikacji` | 59,428 | 0.00250% |
+| `eurlex` | `ustawa` | 30,368 | 0.00128% |
+| `eurlex` | `artykuł` | 1,774,958 | 0.07464% |
+| `eurlex` | `parlament` | 780,286 | 0.03281% |
+| `eurlex` | `rozporządzenie` | 1,202,658 | 0.05057% |
+| `eurlex` | `w pobliżu` | 6,088 | 0.00026% |
+| `eurlex` | `mieszkańców` | 9,441 | 0.00040% |
+| `eurlex` | `Dz.U.` | 915,707 | 0.03851% |
+| `european_hplt_v3_pl` | `w roku` | 113,501 | 0.00444% |
+| `european_hplt_v3_pl` | `klasyfikacji` | 24,675 | 0.00097% |
+| `european_hplt_v3_pl` | `ustawa` | 16,067 | 0.00063% |
+| `european_hplt_v3_pl` | `artykuł` | 283,875 | 0.01111% |
+| `european_hplt_v3_pl` | `parlament` | 45,516 | 0.00178% |
+| `european_hplt_v3_pl` | `rozporządzenie` | 11,841 | 0.00046% |
+| `european_hplt_v3_pl` | `w pobliżu` | 44,108 | 0.00173% |
+| `european_hplt_v3_pl` | `mieszkańców` | 172,896 | 0.00677% |
+| `european_hplt_v3_pl` | `Dz.U.` | 9,487 | 0.00037% |
+| `global_voices` | `w roku` | 160 | 0.00431% |
+| `global_voices` | `klasyfikacji` | 5 | 0.00013% |
+| `global_voices` | `ustawa` | 157 | 0.00423% |
+| `global_voices` | `artykuł` | 1,047 | 0.02818% |
+| `global_voices` | `parlament` | 366 | 0.00985% |
+| `global_voices` | `rozporządzenie` | 26 | 0.00070% |
+| `global_voices` | `w pobliżu` | 105 | 0.00283% |
+| `global_voices` | `mieszkańców` | 508 | 0.01367% |
 | `global_voices` | `Dz.U.` | 1 | 0.00003% |
-| `govpl` | `w roku` | 3,228 | 0.00473% |
-| `govpl` | `klasyfikacji` | 514 | 0.00075% |
-| `govpl` | `ustawa` | 4,562 | 0.00668% |
-| `govpl` | `artykuł` | 1,659 | 0.00243% |
-| `govpl` | `parlament` | 3,611 | 0.00529% |
-| `govpl` | `rozporządzenie` | 4,024 | 0.00589% |
-| `govpl` | `w pobliżu` | 649 | 0.00095% |
-| `govpl` | `mieszkańców` | 12,715 | 0.01862% |
-| `govpl` | `Dz.U.` | 2,921 | 0.00428% |
+| `govpl` | `w roku` | 3,372 | 0.00418% |
+| `govpl` | `klasyfikacji` | 526 | 0.00065% |
+| `govpl` | `ustawa` | 4,727 | 0.00586% |
+| `govpl` | `artykuł` | 2,417 | 0.00300% |
+| `govpl` | `parlament` | 3,967 | 0.00492% |
+| `govpl` | `rozporządzenie` | 4,102 | 0.00509% |
+| `govpl` | `w pobliżu` | 892 | 0.00111% |
+| `govpl` | `mieszkańców` | 13,105 | 0.01625% |
+| `govpl` | `Dz.U.` | 3,114 | 0.00386% |
 | `nkjp1m` | `w roku` | 109 | 0.00419% |
 | `nkjp1m` | `klasyfikacji` | 9 | 0.00035% |
 | `nkjp1m` | `ustawa` | 79 | 0.00304% |
@@ -90,177 +99,105 @@
 | `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
 | `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
 | `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
-| `nonsa` | `w roku` | 522 | 0.00338% |
-| `nonsa` | `klasyfikacji` | 100 | 0.00065% |
-| `nonsa` | `ustawa` | 70 | 0.00045% |
-| `nonsa` | `artykuł` | 3,009 | 0.01949% |
-| `nonsa` | `parlament` | 307 | 0.00199% |
-| `nonsa` | `rozporządzenie` | 14 | 0.00009% |
-| `nonsa` | `w pobliżu` | 316 | 0.00205% |
-| `nonsa` | `mieszkańców` | 1,167 | 0.00756% |
-| `nonsa` | `Dz.U.` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w roku` | 6 | 0.00106% |
-| `open_agh_chemistry_pl` | `klasyfikacji` | 9 | 0.00160% |
-| `open_agh_chemistry_pl` | `ustawa` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `artykuł` | 3 | 0.00053% |
-| `open_agh_chemistry_pl` | `parlament` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `rozporządzenie` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `w pobliżu` | 17 | 0.00301% |
-| `open_agh_chemistry_pl` | `mieszkańców` | 0 | 0.00000% |
-| `open_agh_chemistry_pl` | `Dz.U.` | 0 | 0.00000% |
-| `open_icm_pl` | `w roku` | 19 | 0.00430% |
-| `open_icm_pl` | `klasyfikacji` | 9 | 0.00204% |
-| `open_icm_pl` | `ustawa` | 30 | 0.00680% |
-| `open_icm_pl` | `artykuł` | 121 | 0.02741% |
-| `open_icm_pl` | `parlament` | 34 | 0.00770% |
-| `open_icm_pl` | `rozporządzenie` | 4 | 0.00091% |
-| `open_icm_pl` | `w pobliżu` | 0 | 0.00000% |
-| `open_icm_pl` | `mieszkańców` | 27 | 0.00612% |
-| `open_icm_pl` | `Dz.U.` | 14 | 0.00317% |
-| `parliamentary` | `w roku` | 174,916 | 0.01163% |
-| `parliamentary` | `klasyfikacji` | 10,872 | 0.00072% |
-| `parliamentary` | `ustawa` | 444,839 | 0.02957% |
-| `parliamentary` | `artykuł` | 176,400 | 0.01173% |
-| `parliamentary` | `parlament` | 297,729 | 0.01979% |
-| `parliamentary` | `rozporządzenie` | 104,305 | 0.00693% |
-| `parliamentary` | `w pobliżu` | 4,584 | 0.00030% |
-| `parliamentary` | `mieszkańców` | 73,641 | 0.00490% |
-| `parliamentary` | `Dz.U.` | 23,615 | 0.00157% |
-| `plwiki_talk` | `w roku` | 2,632 | 0.00474% |
-| `plwiki_talk` | `klasyfikacji` | 630 | 0.00113% |
-| `plwiki_talk` | `ustawa` | 1,365 | 0.00246% |
-| `plwiki_talk` | `artykuł` | 75,408 | 0.13571% |
-| `plwiki_talk` | `parlament` | 1,241 | 0.00223% |
-| `plwiki_talk` | `rozporządzenie` | 464 | 0.00084% |
-| `plwiki_talk` | `w pobliżu` | 421 | 0.00076% |
-| `plwiki_talk` | `mieszkańców` | 2,297 | 0.00413% |
-| `plwiki_talk` | `Dz.U.` | 289 | 0.00052% |
-| `plwiki_user_talk` | `w roku` | 2,439 | 0.00064% |
-| `plwiki_user_talk` | `klasyfikacji` | 1,213 | 0.00032% |
-| `plwiki_user_talk` | `ustawa` | 1,379 | 0.00036% |
-| `plwiki_user_talk` | `artykuł` | 1,211,479 | 0.31796% |
-| `plwiki_user_talk` | `parlament` | 2,043 | 0.00054% |
-| `plwiki_user_talk` | `rozporządzenie` | 618 | 0.00016% |
-| `plwiki_user_talk` | `w pobliżu` | 568 | 0.00015% |
-| `plwiki_user_talk` | `mieszkańców` | 2,755 | 0.00072% |
-| `plwiki_user_talk` | `Dz.U.` | 234 | 0.00006% |
-| `rock_pollub_pl` | `w roku` | 22 | 0.00187% |
-| `rock_pollub_pl` | `klasyfikacji` | 150 | 0.01273% |
-| `rock_pollub_pl` | `ustawa` | 21 | 0.00178% |
-| `rock_pollub_pl` | `artykuł` | 173 | 0.01469% |
-| `rock_pollub_pl` | `parlament` | 25 | 0.00212% |
-| `rock_pollub_pl` | `rozporządzenie` | 19 | 0.00161% |
-| `rock_pollub_pl` | `w pobliżu` | 4 | 0.00034% |
-| `rock_pollub_pl` | `mieszkańców` | 3 | 0.00025% |
-| `rock_pollub_pl` | `Dz.U.` | 12 | 0.00102% |
-| `sejm_api` | `w roku` | 2,002 | 0.00653% |
-| `sejm_api` | `klasyfikacji` | 125 | 0.00041% |
-| `sejm_api` | `ustawa` | 10,937 | 0.03570% |
-| `sejm_api` | `artykuł` | 749 | 0.00244% |
-| `sejm_api` | `parlament` | 14,159 | 0.04621% |
-| `sejm_api` | `rozporządzenie` | 1,088 | 0.00355% |
-| `sejm_api` | `w pobliżu` | 85 | 0.00028% |
-| `sejm_api` | `mieszkańców` | 2,689 | 0.00878% |
+| `parliamentary` | `w roku` | 198,192 | 0.01203% |
+| `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
+| `parliamentary` | `ustawa` | 459,179 | 0.02788% |
+| `parliamentary` | `artykuł` | 182,038 | 0.01105% |
+| `parliamentary` | `parlament` | 309,695 | 0.01881% |
+| `parliamentary` | `rozporządzenie` | 113,547 | 0.00689% |
+| `parliamentary` | `w pobliżu` | 4,964 | 0.00030% |
+| `parliamentary` | `mieszkańców` | 78,048 | 0.00474% |
+| `parliamentary` | `Dz.U.` | 23,809 | 0.00145% |
+| `samorzad_gov_pl` | `w roku` | 3,661 | 0.00890% |
+| `samorzad_gov_pl` | `klasyfikacji` | 520 | 0.00126% |
+| `samorzad_gov_pl` | `ustawa` | 1,823 | 0.00443% |
+| `samorzad_gov_pl` | `artykuł` | 1,269 | 0.00308% |
+| `samorzad_gov_pl` | `parlament` | 1,218 | 0.00296% |
+| `samorzad_gov_pl` | `rozporządzenie` | 1,409 | 0.00342% |
+| `samorzad_gov_pl` | `w pobliżu` | 401 | 0.00097% |
+| `samorzad_gov_pl` | `mieszkańców` | 14,450 | 0.03511% |
+| `samorzad_gov_pl` | `Dz.U.` | 1,380 | 0.00335% |
+| `sejm_api` | `w roku` | 2,123 | 0.00584% |
+| `sejm_api` | `klasyfikacji` | 126 | 0.00035% |
+| `sejm_api` | `ustawa` | 11,042 | 0.03039% |
+| `sejm_api` | `artykuł` | 808 | 0.00222% |
+| `sejm_api` | `parlament` | 14,230 | 0.03916% |
+| `sejm_api` | `rozporządzenie` | 1,095 | 0.00301% |
+| `sejm_api` | `w pobliżu` | 87 | 0.00024% |
+| `sejm_api` | `mieszkańców` | 2,697 | 0.00742% |
 | `sejm_api` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_api_2011_2022` | `w roku` | 2,592 | 0.00965% |
-| `sejm_api_2011_2022` | `klasyfikacji` | 50 | 0.00019% |
-| `sejm_api_2011_2022` | `ustawa` | 8,934 | 0.03325% |
-| `sejm_api_2011_2022` | `artykuł` | 1,079 | 0.00402% |
-| `sejm_api_2011_2022` | `parlament` | 11,246 | 0.04186% |
-| `sejm_api_2011_2022` | `rozporządzenie` | 689 | 0.00256% |
-| `sejm_api_2011_2022` | `w pobliżu` | 71 | 0.00026% |
-| `sejm_api_2011_2022` | `mieszkańców` | 2,109 | 0.00785% |
-| `sejm_api_2011_2022` | `Dz.U.` | 4 | 0.00001% |
-| `sejm_committee_transcripts` | `w roku` | 6,980 | 0.00623% |
-| `sejm_committee_transcripts` | `klasyfikacji` | 282 | 0.00025% |
-| `sejm_committee_transcripts` | `ustawa` | 19,420 | 0.01734% |
-| `sejm_committee_transcripts` | `artykuł` | 13,837 | 0.01235% |
-| `sejm_committee_transcripts` | `parlament` | 18,245 | 0.01629% |
-| `sejm_committee_transcripts` | `rozporządzenie` | 5,255 | 0.00469% |
-| `sejm_committee_transcripts` | `w pobliżu` | 146 | 0.00013% |
-| `sejm_committee_transcripts` | `mieszkańców` | 4,129 | 0.00369% |
-| `sejm_committee_transcripts` | `Dz.U.` | 73 | 0.00007% |
-| `studia_bas` | `w roku` | 87 | 0.00386% |
-| `studia_bas` | `klasyfikacji` | 85 | 0.00377% |
-| `studia_bas` | `ustawa` | 312 | 0.01383% |
-| `studia_bas` | `artykuł` | 272 | 0.01206% |
-| `studia_bas` | `parlament` | 154 | 0.00683% |
-| `studia_bas` | `rozporządzenie` | 180 | 0.00798% |
-| `studia_bas` | `w pobliżu` | 8 | 0.00035% |
-| `studia_bas` | `mieszkańców` | 359 | 0.01591% |
-| `studia_bas` | `Dz.U.` | 476 | 0.02110% |
-| `ted_pl` | `w roku` | 3,586 | 0.00906% |
-| `ted_pl` | `klasyfikacji` | 311 | 0.00079% |
-| `ted_pl` | `ustawa` | 2,236 | 0.00565% |
-| `ted_pl` | `artykuł` | 1,342 | 0.00339% |
-| `ted_pl` | `parlament` | 691 | 0.00175% |
-| `ted_pl` | `rozporządzenie` | 4,275 | 0.01080% |
-| `ted_pl` | `w pobliżu` | 18 | 0.00005% |
-| `ted_pl` | `mieszkańców` | 487 | 0.00123% |
-| `ted_pl` | `Dz.U.` | 4,202 | 0.01062% |
-| `wiadomosci_statystyczne_pl` | `w roku` | 52 | 0.00345% |
-| `wiadomosci_statystyczne_pl` | `klasyfikacji` | 122 | 0.00810% |
-| `wiadomosci_statystyczne_pl` | `ustawa` | 38 | 0.00252% |
-| `wiadomosci_statystyczne_pl` | `artykuł` | 322 | 0.02138% |
-| `wiadomosci_statystyczne_pl` | `parlament` | 29 | 0.00193% |
-| `wiadomosci_statystyczne_pl` | `rozporządzenie` | 54 | 0.00359% |
-| `wiadomosci_statystyczne_pl` | `w pobliżu` | 2 | 0.00013% |
-| `wiadomosci_statystyczne_pl` | `mieszkańców` | 227 | 0.01507% |
-| `wiadomosci_statystyczne_pl` | `Dz.U.` | 46 | 0.00305% |
-| `wikibooks` | `w roku` | 311 | 0.00204% |
+| `wikibooks` | `w roku` | 319 | 0.00205% |
 | `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
-| `wikibooks` | `ustawa` | 164 | 0.00108% |
-| `wikibooks` | `artykuł` | 721 | 0.00474% |
-| `wikibooks` | `parlament` | 281 | 0.00185% |
-| `wikibooks` | `rozporządzenie` | 131 | 0.00086% |
-| `wikibooks` | `w pobliżu` | 122 | 0.00080% |
-| `wikibooks` | `mieszkańców` | 199 | 0.00131% |
-| `wikibooks` | `Dz.U.` | 16 | 0.00011% |
-| `wikinews` | `w roku` | 449 | 0.00409% |
-| `wikinews` | `klasyfikacji` | 638 | 0.00582% |
-| `wikinews` | `ustawa` | 389 | 0.00355% |
-| `wikinews` | `artykuł` | 2,462 | 0.02245% |
-| `wikinews` | `parlament` | 2,064 | 0.01882% |
-| `wikinews` | `rozporządzenie` | 168 | 0.00153% |
-| `wikinews` | `w pobliżu` | 455 | 0.00415% |
-| `wikinews` | `mieszkańców` | 1,011 | 0.00922% |
-| `wikinews` | `Dz.U.` | 27 | 0.00025% |
-| `wikipedia` | `w roku` | 157,059 | 0.01280% |
-| `wikipedia` | `klasyfikacji` | 79,082 | 0.00645% |
-| `wikipedia` | `ustawa` | 15,755 | 0.00128% |
-| `wikipedia` | `artykuł` | 43,982 | 0.00358% |
-| `wikipedia` | `parlament` | 80,390 | 0.00655% |
-| `wikipedia` | `rozporządzenie` | 9,008 | 0.00073% |
-| `wikipedia` | `w pobliżu` | 55,953 | 0.00456% |
-| `wikipedia` | `mieszkańców` | 179,796 | 0.01465% |
-| `wikipedia` | `Dz.U.` | 515 | 0.00004% |
-| `wikivoyage` | `w roku` | 460 | 0.00327% |
-| `wikivoyage` | `klasyfikacji` | 15 | 0.00011% |
-| `wikivoyage` | `ustawa` | 29 | 0.00021% |
-| `wikivoyage` | `artykuł` | 616 | 0.00437% |
-| `wikivoyage` | `parlament` | 154 | 0.00109% |
-| `wikivoyage` | `rozporządzenie` | 31 | 0.00022% |
-| `wikivoyage` | `w pobliżu` | 5,865 | 0.04164% |
-| `wikivoyage` | `mieszkańców` | 2,883 | 0.02047% |
-| `wikivoyage` | `Dz.U.` | 0 | 0.00000% |
-| `wiktionary_examples` | `w roku` | 7 | 0.00338% |
-| `wiktionary_examples` | `klasyfikacji` | 1 | 0.00048% |
-| `wiktionary_examples` | `ustawa` | 3 | 0.00145% |
-| `wiktionary_examples` | `artykuł` | 12 | 0.00579% |
-| `wiktionary_examples` | `parlament` | 1 | 0.00048% |
-| `wiktionary_examples` | `rozporządzenie` | 1 | 0.00048% |
-| `wiktionary_examples` | `w pobliżu` | 6 | 0.00290% |
-| `wiktionary_examples` | `mieszkańców` | 4 | 0.00193% |
+| `wikibooks` | `ustawa` | 165 | 0.00106% |
+| `wikibooks` | `artykuł` | 732 | 0.00470% |
+| `wikibooks` | `parlament` | 283 | 0.00182% |
+| `wikibooks` | `rozporządzenie` | 131 | 0.00084% |
+| `wikibooks` | `w pobliżu` | 125 | 0.00080% |
+| `wikibooks` | `mieszkańców` | 204 | 0.00131% |
+| `wikibooks` | `Dz.U.` | 16 | 0.00010% |
+| `wikinews` | `w roku` | 449 | 0.00370% |
+| `wikinews` | `klasyfikacji` | 639 | 0.00526% |
+| `wikinews` | `ustawa` | 407 | 0.00335% |
+| `wikinews` | `artykuł` | 2,474 | 0.02038% |
+| `wikinews` | `parlament` | 2,530 | 0.02084% |
+| `wikinews` | `rozporządzenie` | 168 | 0.00138% |
+| `wikinews` | `w pobliżu` | 455 | 0.00375% |
+| `wikinews` | `mieszkańców` | 1,014 | 0.00835% |
+| `wikinews` | `Dz.U.` | 27 | 0.00022% |
+| `wikipedia` | `w roku` | 143,023 | 0.02022% |
+| `wikipedia` | `klasyfikacji` | 46,043 | 0.00651% |
+| `wikipedia` | `ustawa` | 9,536 | 0.00135% |
+| `wikipedia` | `artykuł` | 28,165 | 0.00398% |
+| `wikipedia` | `parlament` | 57,863 | 0.00818% |
+| `wikipedia` | `rozporządzenie` | 5,637 | 0.00080% |
+| `wikipedia` | `w pobliżu` | 41,915 | 0.00593% |
+| `wikipedia` | `mieszkańców` | 122,766 | 0.01736% |
+| `wikipedia` | `Dz.U.` | 232 | 0.00003% |
+| `wikiquote` | `w roku` | 608 | 0.00191% |
+| `wikiquote` | `klasyfikacji` | 15 | 0.00005% |
+| `wikiquote` | `ustawa` | 357 | 0.00112% |
+| `wikiquote` | `artykuł` | 606 | 0.00190% |
+| `wikiquote` | `parlament` | 1,271 | 0.00398% |
+| `wikiquote` | `rozporządzenie` | 27 | 0.00008% |
+| `wikiquote` | `w pobliżu` | 207 | 0.00065% |
+| `wikiquote` | `mieszkańców` | 527 | 0.00165% |
+| `wikiquote` | `Dz.U.` | 6 | 0.00002% |
+| `wikisource` | `w roku` | 16,571 | 0.00207% |
+| `wikisource` | `klasyfikacji` | 166 | 0.00002% |
+| `wikisource` | `ustawa` | 8,156 | 0.00102% |
+| `wikisource` | `artykuł` | 16,230 | 0.00202% |
+| `wikisource` | `parlament` | 6,119 | 0.00076% |
+| `wikisource` | `rozporządzenie` | 1,651 | 0.00021% |
+| `wikisource` | `w pobliżu` | 13,921 | 0.00174% |
+| `wikisource` | `mieszkańców` | 14,335 | 0.00179% |
+| `wikisource` | `Dz.U.` | 5 | 0.00000% |
+| `wikivoyage` | `w roku` | 609 | 0.00356% |
+| `wikivoyage` | `klasyfikacji` | 21 | 0.00012% |
+| `wikivoyage` | `ustawa` | 46 | 0.00027% |
+| `wikivoyage` | `artykuł` | 657 | 0.00384% |
+| `wikivoyage` | `parlament` | 249 | 0.00145% |
+| `wikivoyage` | `rozporządzenie` | 34 | 0.00020% |
+| `wikivoyage` | `w pobliżu` | 6,480 | 0.03783% |
+| `wikivoyage` | `mieszkańców` | 4,100 | 0.02394% |
+| `wikivoyage` | `Dz.U.` | 1 | 0.00001% |
+| `wiktionary_examples` | `w roku` | 56 | 0.00502% |
+| `wiktionary_examples` | `klasyfikacji` | 5 | 0.00045% |
+| `wiktionary_examples` | `ustawa` | 26 | 0.00233% |
+| `wiktionary_examples` | `artykuł` | 42 | 0.00376% |
+| `wiktionary_examples` | `parlament` | 28 | 0.00251% |
+| `wiktionary_examples` | `rozporządzenie` | 5 | 0.00045% |
+| `wiktionary_examples` | `w pobliżu` | 32 | 0.00287% |
+| `wiktionary_examples` | `mieszkańców` | 64 | 0.00574% |
 | `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% |
+| `wolne_lektury` | `w roku` | 1,898 | 0.00184% |
+| `wolne_lektury` | `klasyfikacji` | 80 | 0.00008% |
+| `wolne_lektury` | `ustawa` | 1,060 | 0.00103% |
+| `wolne_lektury` | `artykuł` | 1,824 | 0.00177% |
+| `wolne_lektury` | `parlament` | 672 | 0.00065% |
+| `wolne_lektury` | `rozporządzenie` | 128 | 0.00012% |
+| `wolne_lektury` | `w pobliżu` | 2,073 | 0.00201% |
+| `wolne_lektury` | `mieszkańców` | 1,658 | 0.00161% |
+| `wolne_lektury` | `Dz.U.` | 5 | 0.00000% |
 
 ![Overall pattern counts](artifacts/pattern_frequency_overall.png)
 

artifacts/rights_audit_2026-10/REVIEW.html

@@ -791,7 +791,7 @@ tr.grp td{background:var(--bg);font-weight:600;font-family:var(--f-display)}
   <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>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 no lawyer has signed off.</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>

artifacts/rights_audit_2026-10/reports/saos_pr21.md

@@ -1,6 +1,6 @@
 VERDICTS
 - Merge with release: None: MINOR.
-- Inclusion in a release: MINOR, conditional. Not HPLT-class: the claim is a statutory exclusion (Copyright Act Art. 4(2)), not a packaging licence over unlicensed works. It still fails the paper's "per-record rights evidence" bar for three residual pools (Q3), and the basis is not confirmed.
+- Inclusion in a release: MINOR, conditional. Not HPLT-class: the claim is a statutory exclusion (Copyright Act Art. 4(2)), not a packaging licence over unlicensed works. It still fails the paper's "per-record rights evidence" bar for three residual pools (Q3), and no lawyer has signed off.
 
 Q1 CHAIN OF TITLE (verified)
 - The intermediary `PiotrSty/saos-polish-court-judgments@736cba4` is `license: unknown`. It adds no CC grant, and evidence JSON says "no upstream Creative Commons grant is asserted". It is derived from the SAOS dump API (https://www.saos.org.pl/api/dump/judgments), so the intermediary adds no rights.

artifacts/ted_pl_ontology_manifest.json

@@ -19,43 +19,43 @@
       "id": "claim:official-source",
       "statement": "Every retained text is rebuilt from a checksum-addressed official TED Search API record or official XML fallback; mirror text is not training input.",
       "supported_by": [
-        "evidence:checksums:c2e206c0002f12d60517a37a6f564917081b9b9e475341db741ffc67773b8474",
-        "evidence:qa:05277f81b06cee4e19f176ce1e39cbb9c46928089284cedfe7f71307b4ef79b7"
+        "evidence:checksums:20af94c23f57e65b90c66a28cdebc5a47abcc8c986fe7f4ffdeb45ed4e24e5bc",
+        "evidence:qa:c98af3dc0c651a79653a844243391905aa2128ef039f0a9f739a25e14a6258cd"
       ]
     },
     {
-      "falsification_condition": "A retained notice has a buyer legal type outside the kept list, or a released file states a licence grant for the notice text.",
+      "falsification_condition": "The pinned legal notice does not contain the reuse grant or a retained notice is explicitly excepted.",
       "id": "claim:rights-qualified",
-      "statement": "Retained notices come from public-sector buyers by TED buyer legal type; no licence is claimed for the text, whose status is our assessment recorded in the datasheet.",
+      "statement": "TED's official legal notice permits commercial and non-commercial reuse of notices unless otherwise noted; exceptions are not claimed absent.",
       "supported_by": [
-        "evidence:qa:05277f81b06cee4e19f176ce1e39cbb9c46928089284cedfe7f71307b4ef79b7"
+        "evidence:qa:c98af3dc0c651a79653a844243391905aa2128ef039f0a9f739a25e14a6258cd"
       ]
     }
   ],
   "evidence": [
     {
-      "id": "evidence:checksums:c2e206c0002f12d60517a37a6f564917081b9b9e475341db741ffc67773b8474",
+      "id": "evidence:checksums:20af94c23f57e65b90c66a28cdebc5a47abcc8c986fe7f4ffdeb45ed4e24e5bc",
       "observation_type": "checksums",
       "payload": {
         "NOTICE.md": "60af2d405b7be812321ee40413a8de07b8918727a3baf91a3efb6a6e56002523",
         "README.md": "fd50a9f8139ef079d903e30eac14c8e19717d0bf7a7bf094b76cf72042f07ae0",
-        "artifacts/attribution.jsonl": "5c8c65042fa9a44545b76150e7df899c855322d34b5b48e0d25527889cfcf515",
-        "artifacts/decisions.jsonl": "9bf10a2edeb9921f0aeb4fb93639e5aa358e9adb8fcb535b5d61ca7881ba01b3",
-        "artifacts/qa.json": "0a17a2adcd6e3fc2aaadf61fcb704dff486c67710076971240a4d4c391c1528b",
+        "artifacts/attribution.jsonl": "36afcd12e67bf1af38dca15690bf32bf51f669536e0e9736ca32aa80e44b16ef",
+        "artifacts/decisions.jsonl": "d3e89a6f0eb33193cabc7ae33be603cd65df2673d40fed1251a333ab93dead58",
+        "artifacts/qa.json": "1a23cf74b659570a6ee85c98b3eac17529a02d85bd0d02bd42be4dafea6b90ba",
         "artifacts/run.json": "e2ad9ad14d29a5929f9180c16d559532d4b31d5afaf44cc237e4a6f00ac4ab77",
-        "artifacts/sample.jsonl": "a9c35aa87ce47505b61134d4b2edaf89b9e85c52b5a0238633229a0b33c3e0d9",
+        "artifacts/sample.jsonl": "3b86c6f0f77288d50ddd5e572467a7047cee514f6ee47008d86c763869e2d6ca",
         "artifacts/source_files.json": "cf810be2b4539f0c9e4ab2b98c779bb559f83e7b32fcab9de799cd28ac697c1f",
         "artifacts/source_index.jsonl.gz": "fca83e9af2004c555070a53a555046845f424acdea0b973813295782e187ab8a",
-        "artifacts/stats.json": "184308470d2b814d5eb712d30c0bd726d14c7aa2c3f6736d2ff972add1adf5d2",
-        "data/train-00000-of-00001.parquet": "1eeeabcbe44fd4583ebada6e8c9a549581508b810fae0099fe2538d4d624160f",
-        "src/build_ted_pl.py": "3fb7e98b088b2541c96efabd2fedb9dd93557f14846564bff38461ed5ef53e31",
+        "artifacts/stats.json": "f3fba91d42062d8b846fc62a0a3bde2907e6843a9c24aa6c9b64d26c20708528",
+        "data/train-00000-of-00001.parquet": "200960adfce7874dd0d1c1b35bd1785484f762c3f25ae90f3aaca80faddadd21",
+        "src/build_ted_pl.py": "6c4dc9e97ac8a2a4503d21bec0cf9b8bbfc69c0d82c6f6fb57bfcf3e6cc59965",
         "src/requirements.txt": "c0df158dc054d8df8e514735f07e98dbd7d3359cba54440ae89f9df41b9a4332",
-        "src/test_ted_pl_contribution.py": "999c820f6c4e662a47868374fc84a9d16c6ee0b14469a8344d17209299a7767d"
+        "src/test_ted_pl_contribution.py": "e4b2d19a67a9da344d128a427dec7bdc5a491b139f3fa469b99bb0d7fbb1c516"
       },
       "produced_by": "run:5060f76e9d8526a4bffb39aaa45c837c292381204907b9b439350e2aba7b68a8"
     },
     {
-      "id": "evidence:qa:05277f81b06cee4e19f176ce1e39cbb9c46928089284cedfe7f71307b4ef79b7",
+      "id": "evidence:qa:c98af3dc0c651a79653a844243391905aa2128ef039f0a9f739a25e14a6258cd",
       "observation_type": "qa",
       "payload": {
         "benchmark_overlap": "pending",
@@ -64,80 +64,12 @@
           "removed_chunk_hashes": 1,
           "threshold_documents": 205
         },
-        "buyer_type": {
-          "kept_types": [
-            "body-pl",
-            "body-pl-cga",
-            "body-pl-la",
-            "body-pl-ra",
-            "cga",
-            "grp-p-aut",
-            "la",
-            "pub-undert",
-            "pub-undert-cga",
-            "pub-undert-la",
-            "pub-undert-ra",
-            "ra",
-            "rl-aut"
-          ],
-          "notices_by_type": {
-            "8": 470,
-            "Z": 1,
-            "body-pl": 8680,
-            "body-pl+body-pl-cga+cga": 1,
-            "body-pl+body-pl-la+la+org-sub-la+pub-undert-la": 1,
-            "body-pl+body-pl-la+la+pub-undert-la+ra": 1,
-            "body-pl+body-pl-la+pub-undert-la": 1,
-            "body-pl+body-pl-ra": 1,
-            "body-pl+body-pl-ra+la+ra": 1,
-            "body-pl+cga": 3,
-            "body-pl+la": 10,
-            "body-pl+pub-undert": 2,
-            "body-pl+ra": 1,
-            "body-pl-cga": 361,
-            "body-pl-la": 347,
-            "body-pl-la+body-pl-ra": 4,
-            "body-pl-la+la": 3,
-            "body-pl-la+la+pub-undert": 1,
-            "body-pl-ra": 218,
-            "body-pl-ra+ra": 1,
-            "cga": 987,
-            "cga+ra": 1,
-            "def-cont": 53,
-            "eu-ins-bod-ag": 8,
-            "grp-p-aut": 118,
-            "grp-p-aut+spec-rights-entity": 1,
-            "int-org": 1,
-            "la": 1818,
-            "la+org-sub": 3,
-            "la+pub-undert": 1,
-            "la+pub-undert-cga": 1,
-            "la+pub-undert-la": 1,
-            "la+ra": 254,
-            "missing": 670,
-            "org-sub": 5,
-            "org-sub-cga": 42,
-            "org-sub-la": 30,
-            "org-sub-ra": 5,
-            "pub-undert": 427,
-            "pub-undert-cga": 49,
-            "pub-undert-la": 42,
-            "pub-undert-ra": 17,
-            "ra": 872,
-            "spec-rights-entity": 30
-          },
-          "removed": 1320,
-          "rule": "keep a notice only when every TED buyer legal type is a public authority, a body governed by public law or a public undertaking"
-        },
         "cross_source_dedup": "pending target integration",
         "exact_normalized_dedup": true,
-        "license_gate": "no licence is granted for the notice texts and none follows from the TED legal notice (https://ted.europa.eu/en/legal-notice), whose terms are followed; our assessment: notices of Polish public-sector contracting authorities may be official documents excluded from copyright (Copyright Act art. 4, a contested reading), short or formulaic passages are not protected works, and the Open Data Act (Dz.U. 2023 poz. 1524) supports re-use where it applies; notices of other buyers are excluded by TED buyer legal type; third-party works and personal data are not covered; status outside Poland not assessed; see ted_pl.license-evidence.json",
+        "license_gate": "TED legal notice permits commercial and non-commercial reuse unless otherwise noted; document-level exceptions remain reviewable",
         "limitations": [
-          "personal names of contact persons in free text are not de-identified here; the SlayerLab/NERGAL pass must run before release",
-          "pattern redaction only: some unlabelled phone numbers, IBAN account numbers and role mailboxes with a missing domain can remain",
-          "labelled PESEL/NIP/REGON numbers are redacted whether they belong to a person or a company; identifiers without such a label (KRS numbers, bank accounts) stay in the text, including any printed next to a sole trader's name",
-          "third-party text reproduced in a notice (standards, catalogue or manufacturer descriptions) is not covered by the assessment; notices found to reproduce it are removed, but the v0.2.6 model screen of every notice missed 2 of the 9 such notices removed after it, so some can remain",
-          "the texts are not authentic; only the notices published in the Official Journal of the EU (S series) are",
+          "free-text personal names are not comprehensively de-identified",
+          "third-party works and per-notice exceptions require review",
           "source is institutional/legal-administrative and requires a deliberate mix cap",
           "official records may contain repeated form language below the frequency threshold"
         ],
@@ -8550,45 +8482,12 @@
         },
         "official_sources_only": true,
         "pii_pattern_matches_replaced": {
-          "email": 1832,
-          "national_id": 242,
-          "phone": 2441
-        },
-        "pii_rebuild": {
-          "boilerplate_chunks_removed": 1,
-          "boilerplate_threshold_documents": 155,
-          "documents": 14210,
-          "note": "text rebuilt from the raw TED API/XML of the shipped notices with redact_pii applied once; pii_pattern_matches_replaced counts the re-acquired notices, previous_pii_pattern_matches_replaced the build before",
-          "previous_pii_pattern_matches_replaced": {
-            "email": 1832,
-            "national_id": 242,
-            "phone": 2441
-          },
-          "tokens_after": 39580791,
-          "tokens_before": 39580791
+          "email": 2433,
+          "national_id": 366,
+          "phone": 2128
         },
         "source_protocol": "official TED Search API narrative fields with official XML fallback",
-        "structured_contacts_omitted": true,
-        "third_party_text": {
-          "ids": [
-            "ted_pl_111499-2024",
-            "ted_pl_184967-2024",
-            "ted_pl_221272-2024",
-            "ted_pl_221795-2024",
-            "ted_pl_225559-2024",
-            "ted_pl_241694-2024",
-            "ted_pl_241958-2024",
-            "ted_pl_246497-2024",
-            "ted_pl_269861-2024",
-            "ted_pl_286606-2024",
-            "ted_pl_734961-2023",
-            "ted_pl_772611-2023",
-            "ted_pl_79380-2024",
-            "ted_pl_89506-2024"
-          ],
-          "removed": 14,
-          "rule": "drop notices found to reproduce a third-party work (sample review of 200 notices and an exact-phrase search, then a model screen of every retained notice with two review passes per flag and a same-template search)"
-        }
+        "structured_contacts_omitted": true
       },
       "produced_by": "run:08d36bcb01f2de7ab076205a77e3992bb64ac72620924755baa22fcf4c0f436d"
     }
@@ -8604,6 +8503,7 @@
     }
   ],
   "pending": [
+    "per-notice exception/legal review",
     "free-text PERSON de-identification review",
     "cross-source deduplication",
     "benchmark contamination check",
@@ -8612,7 +8512,7 @@
   "protocols": [
     {
       "id": "protocol:ted-official-v1",
-      "procedure": "pinned identifier index, official Search API narrative extraction with official XML fallback, TED buyer-legal-type filter, structured-contact omission, PII patterns, boilerplate and dedup filters"
+      "procedure": "pinned identifier index, official Search API narrative extraction with official XML fallback, structured-contact omission, PII patterns, boilerplate and dedup filters"
     },
     {
       "id": "protocol:contract-v1",
@@ -8622,17 +8522,17 @@
   "relations": [
     {
       "predicate": "DERIVED_FROM",
-      "source": "version:dataset:c2e206c0002f12d60517a37a6f564917081b9b9e475341db741ffc67773b8474",
+      "source": "version:dataset:20af94c23f57e65b90c66a28cdebc5a47abcc8c986fe7f4ffdeb45ed4e24e5bc",
       "target": "version:source:f972b8e5bcf08d04724841b10d196810aab0d67ae9cee5422e29f91d130f9658"
     },
     {
       "predicate": "GENERATED_BY",
-      "source": "version:dataset:c2e206c0002f12d60517a37a6f564917081b9b9e475341db741ffc67773b8474",
+      "source": "version:dataset:20af94c23f57e65b90c66a28cdebc5a47abcc8c986fe7f4ffdeb45ed4e24e5bc",
       "target": "run:08d36bcb01f2de7ab076205a77e3992bb64ac72620924755baa22fcf4c0f436d"
     },
     {
       "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:c2e206c0002f12d60517a37a6f564917081b9b9e475341db741ffc67773b8474",
+      "source": "version:dataset:20af94c23f57e65b90c66a28cdebc5a47abcc8c986fe7f4ffdeb45ed4e24e5bc",
       "target": "run:5060f76e9d8526a4bffb39aaa45c837c292381204907b9b439350e2aba7b68a8"
     }
   ],
@@ -8681,8 +8581,8 @@
       "object": "object:source:ted"
     },
     {
-      "content_address": "c2e206c0002f12d60517a37a6f564917081b9b9e475341db741ffc67773b8474",
-      "id": "version:dataset:c2e206c0002f12d60517a37a6f564917081b9b9e475341db741ffc67773b8474",
+      "content_address": "20af94c23f57e65b90c66a28cdebc5a47abcc8c986fe7f4ffdeb45ed4e24e5bc",
+      "id": "version:dataset:20af94c23f57e65b90c66a28cdebc5a47abcc8c986fe7f4ffdeb45ed4e24e5bc",
       "object": "object:dataset:ted-pl"
     }
   ]

artifacts/uzp_orzeczenia_pl_legitimate_interest.md

@@ -1,74 +0,0 @@
-# Legitimate-interest note: personal data in `uzp_orzeczenia_pl`
-
-Our assessment of 2026-10-18, not legal advice. Written for this source; the reasoning is meant to be reused for
-`saos` (slayerlabs/polish-dynaword-v2#55), whose filters differ.
-
-## What the rulings contain
-
-Rulings of the National Appeals Chamber (KIO) and of courts in public-procurement matters, as published by the
-Public Procurement Office at https://orzeczenia.uzp.gov.pl/. Most parties are companies and public bodies. The
-rulings also name natural persons:
-
-- the members of the adjudicating bench and the clerk, acting in their office;
-- sole traders, whose firm usually carries their own name ("Jan Kowalski prowadzący działalność gospodarczą pod
-  firmą ..."), and partners of civil partnerships (s.c.), with their business addresses;
-- attorneys, experts, witnesses, and staff of bidders and contracting authorities;
-- occasionally, data on criminal records or health: exclusion of a bidder for a conviction, a certificate from the
-  National Criminal Register, sick leave given as the reason for a missed deadline.
-
-Since about 2013 UZP publishes most KIO rulings with private persons reduced to initials; older KIO rulings and the
-court rulings name them in full.
-
-## Purpose
-
-Training and evaluating Polish language models on the language of procurement law and judicial reasoning. What
-the corpus is for is the legal language and the argument, not the identity of the parties. The corpus has no
-person field and no search by person; the attribution fields `chairman` and `purchaser` are empty in every record.
-
-## Why private persons' data is not needed
-
-A model learns how a ruling argues equally well when a party is written `[PERSON]`. Names, home or business
-addresses of individuals, and criminal or health details add nothing to that purpose and are the part of the text
-whose publication could harm the people concerned. They are therefore removed rather than weighed case by case.
-
-The bench and the clerk are kept. They act in a public office, their names are part of the ruling's official
-form, and the rulings are published with them by the authority itself. No field makes them searchable.
-
-## How the data is removed
-
-`src/build_uzp_orzeczenia_pl.py g1` has run on every ruling:
-
-1. NERGAL 2.0.6 (SlayerLab/NERGAL, the PII masker run on all sources) replaces person names with `[PERSON]`. The
-   names of this ruling's bench and clerk, read from the ruling's header, are kept.
-2. Rules add what NERGAL does not cover: the trading name of a sole trader or civil partnership becomes `[FIRM]`
-   (the firm name contains a person's name), and a street address near such a firm becomes `[ADDRESS]`. Its later
-   mentions and aliases ("dalej: ...") in the same ruling are masked too, and so is a trading name followed by a
-   person's initials in a list of parties or consortium members.
-3. A sentence that links a person (named, by initials, or as "Pan/Pani") to a criminal matter or to health is
-   replaced as a whole by `[REDACTED:SPECIAL]`. Statutory text about exclusion grounds in general is kept.
-
-No ruling is dropped. `qa.json` records under `g1` when the pass ran, with which NERGAL revision, and how many
-replacements of each kind it made; each attribution record lists the pass in `transformations`.
-
-## Effectiveness and what remains
-
-The pass was measured on hand-labelled passages (the header and one 2,000-character window) from a stratified sample
-of 240 rulings (seed 112) and from 80 further rulings drawn where a firm or a special-category cue occurs (seed
-1122), and checked on 80 more drawn the same way after the firm rules were fixed (seed 1123). On that held-out
-sample 215 of 263 firm mentions are wholly masked where a sole-trader cue occurs (190 without the firm rules), and
-3 of 83 person names are left at least in part. The misses per category are in `artifacts/source_findings.md`
-(entry `uzp_orzeczenia_pl — G1 personal-data pass`). Filters miss some names, for instance a party who shares a
-surname with the bench, or names broken by PDF extraction, and firms that the text neither introduces as a sole
-trader's or partnership's nor follows with initials. Initials are not reliably removed. These residues are why the
-measurement is published.
-
-The pass also removes more than it needs to. NERGAL's names model masks some company names, list letters and
-party-role nouns other than the ones it keeps ("Lidera") as `[PERSON]`, and a firm name sometimes runs on into the
-next words or catches a consortium named after a member's firm. In court rulings whose names PDF extraction broke
-or whose header starts late, some of the bench is masked too. This costs text, not privacy. Sentences that tie a
-named person to a criminal-register certificate are replaced even when the certificate is clean, and so are some
-sentences that mention the register only about a company or read initials into a company name, or that use a
-health word for a tender's subject, such as the transport of disabled pupils.
-
-Anyone named in a ruling can object or ask for removal. Such requests follow `takedown/PROCEDURE.md` (reason class
-`personal-data`, or `special-category-data` for criminal and health data).

artifacts/uzp_orzeczenia_pl_ontology_manifest.json

@@ -19,7 +19,7 @@
       "id": "claim:uzp-target-retention",
       "statement": "The proposed DynaWord slice contains 34715 records after excluding 0 signature overlaps.",
       "supported_by": [
-        "evidence:uzp-target-stats:12536fe9ff6b5d21d30dbff2acf4bc666fc5dfbffaf138e4812153ad98e33d66",
+        "evidence:uzp-target-stats:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0",
         "evidence:uzp-target-overlap:d70053726c85373e3411cc28da26c3aeffbd25cf9adf7c30a3ecdda3ebeaef10"
       ]
     },
@@ -46,20 +46,6 @@
       "id": "evidence:uzp-target-overlap:d70053726c85373e3411cc28da26c3aeffbd25cf9adf7c30a3ecdda3ebeaef10",
       "observation_type": "metadata_overlap_audit",
       "produced_by": "run:uzp-orzeczenia-dynaword-integration:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0"
-    },
-    {
-      "artifact": "data/uzp_orzeczenia_pl/uzp_orzeczenia_pl.stats.json",
-      "content_address": "091924eb8bb9399f656f7314b75d72e18d942542d0f8b19bf71de803de934111",
-      "id": "evidence:uzp-target-stats:091924eb8bb9399f656f7314b75d72e18d942542d0f8b19bf71de803de934111",
-      "observation_type": "target_slice_counts",
-      "produced_by": "run:uzp-orzeczenia-rebuild:514fe65d51fd93cb9f6d3e22955f90bc85157e9e796a251d0f06263877fea19f"
-    },
-    {
-      "artifact": "data/uzp_orzeczenia_pl/uzp_orzeczenia_pl.stats.json",
-      "content_address": "12536fe9ff6b5d21d30dbff2acf4bc666fc5dfbffaf138e4812153ad98e33d66",
-      "id": "evidence:uzp-target-stats:12536fe9ff6b5d21d30dbff2acf4bc666fc5dfbffaf138e4812153ad98e33d66",
-      "observation_type": "target_slice_counts",
-      "produced_by": "run:uzp-orzeczenia-g1:4b7e74e75dd74df6332429ac8b53ae559e37611ccc654fab030c94cbf30a35b1"
     }
   ],
   "objects": [
@@ -83,14 +69,6 @@
     {
       "id": "protocol:uzp-orzeczenia-dynaword-integration-v1",
       "procedure": "exclude source-QA failures and signature overlaps with pinned saos; preserve attribution and pending text-level gates"
-    },
-    {
-      "id": "protocol:uzp-orzeczenia-rebuild-v1",
-      "procedure": "src/build_uzp_orzeczenia_pl.py rebuild: the shipped documents downloaded again (retained PDFs restored to their recorded pdf_sha256), built with the current redact_pii and installed over the shipped slice with the document set, decisions and metadata unchanged"
-    },
-    {
-      "id": "protocol:uzp-orzeczenia-g1-v1",
-      "procedure": "src/build_uzp_orzeczenia_pl.py g1: the G1 personal-data pass (NERGAL's person names with the bench and clerk kept, then the firm, address and special-category rules) applied in place to every text of the shipped slice, with the document set, decisions and metadata unchanged"
     }
   ],
   "relations": [
@@ -108,36 +86,6 @@
       "predicate": "VALIDATED_AGAINST",
       "source": "version:dataset:uzp-orzeczenia-pl-dynaword:2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
       "target": "hf:dataset:SlayerLab/polish-dynaword@bade8e7cae51bd30e9530c3be38dd0e3eeba1f70"
-    },
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5",
-      "target": "version:dataset:uzp-orzeczenia-pl-dynaword:2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5",
-      "target": "run:uzp-orzeczenia-rebuild:514fe65d51fd93cb9f6d3e22955f90bc85157e9e796a251d0f06263877fea19f"
-    },
-    {
-      "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5",
-      "target": "hf:dataset:SlayerLab/polish-dynaword@bade8e7cae51bd30e9530c3be38dd0e3eeba1f70"
-    },
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:9f70ce7a61c7e3a3058ef4a9e239bbcca1ae48ec6a8dd4507115710c0d002540",
-      "target": "version:dataset:uzp-orzeczenia-pl-dynaword:f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:9f70ce7a61c7e3a3058ef4a9e239bbcca1ae48ec6a8dd4507115710c0d002540",
-      "target": "run:uzp-orzeczenia-g1:4b7e74e75dd74df6332429ac8b53ae559e37611ccc654fab030c94cbf30a35b1"
-    },
-    {
-      "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:9f70ce7a61c7e3a3058ef4a9e239bbcca1ae48ec6a8dd4507115710c0d002540",
-      "target": "hf:dataset:SlayerLab/polish-dynaword@bade8e7cae51bd30e9530c3be38dd0e3eeba1f70"
     }
   ],
   "runs": [
@@ -168,60 +116,6 @@
         "tokens": 422043881
       },
       "success": true
-    },
-    {
-      "finished_at": "2026-10-19T09:38:42.665735+00:00",
-      "id": "run:uzp-orzeczenia-rebuild:514fe65d51fd93cb9f6d3e22955f90bc85157e9e796a251d0f06263877fea19f",
-      "protocol": "protocol:uzp-orzeczenia-rebuild-v1",
-      "started_at": "2026-10-19T08:51:21.613136+00:00",
-      "stats": {
-        "added": "2026-09-17",
-        "characters": 1110310083,
-        "enumerated": 35694,
-        "kept": 34715,
-        "license_counts": {
-          "public-domain (official documents)": 34715
-        },
-        "per_kind": {
-          "KIO": 34412,
-          "SA": 3,
-          "SN": 2,
-          "SO": 1277
-        },
-        "sample_count": 12,
-        "source_slice_kept": 34715,
-        "target_overlap_excluded": 0,
-        "target_revision": "bade8e7cae51bd30e9530c3be38dd0e3eeba1f70",
-        "tokens": 422051565
-      },
-      "success": true
-    },
-    {
-      "finished_at": "2026-10-21T11:29:00.029776+00:00",
-      "id": "run:uzp-orzeczenia-g1:4b7e74e75dd74df6332429ac8b53ae559e37611ccc654fab030c94cbf30a35b1",
-      "protocol": "protocol:uzp-orzeczenia-g1-v1",
-      "started_at": "2026-10-21T11:21:07.460130+00:00",
-      "stats": {
-        "added": "2026-09-17",
-        "characters": 1108021951,
-        "enumerated": 35694,
-        "kept": 34715,
-        "license_counts": {
-          "public-domain (official documents)": 34715
-        },
-        "per_kind": {
-          "KIO": 34412,
-          "SA": 3,
-          "SN": 2,
-          "SO": 1277
-        },
-        "sample_count": 12,
-        "source_slice_kept": 34715,
-        "target_overlap_excluded": 0,
-        "target_revision": "bade8e7cae51bd30e9530c3be38dd0e3eeba1f70",
-        "tokens": 420753012
-      },
-      "success": true
     }
   ],
   "schema": "slayer-research-ontology-profile-v1",
@@ -235,16 +129,6 @@
       "content_address": "2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
       "id": "version:dataset:uzp-orzeczenia-pl-dynaword:2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
       "object": "object:dataset:uzp-orzeczenia-pl-dynaword-slice"
-    },
-    {
-      "content_address": "f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5",
-      "id": "version:dataset:uzp-orzeczenia-pl-dynaword:f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5",
-      "object": "object:dataset:uzp-orzeczenia-pl-dynaword-slice"
-    },
-    {
-      "content_address": "9f70ce7a61c7e3a3058ef4a9e239bbcca1ae48ec6a8dd4507115710c0d002540",
-      "id": "version:dataset:uzp-orzeczenia-pl-dynaword:9f70ce7a61c7e3a3058ef4a9e239bbcca1ae48ec6a8dd4507115710c0d002540",
-      "object": "object:dataset:uzp-orzeczenia-pl-dynaword-slice"
     }
   ]
 }

data/{eltec_pol/eltec_pol.attribution.jsonl → 1000_novels/1000_novels.attribution.jsonl}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:685390a44af9a3b606fdfcb5a9b2ba8b9bfc22dccbb2ca13815d704b6703c27e
-size 236159
+oid sha256:5519bac2b956db503b3c80312a9adbeaf77bc6e762a57a725a10a288c14eaa46
+size 304759

data/1000_novels/1000_novels.license-evidence.json

@@ -0,0 +1,19 @@
+{
+  "checked_at": "2026-10-05",
+  "upstream": "https://clarin-pl.eu/dspace/handle/11321/312",
+  "upstream_record_license": "CC BY 4.0, stated on a metadata-only record (read 2026-09-30); it does not license the texts",
+  "upstream_rights_statement": "CLARIN-PL (Tomasz Naskręt), email reply received 2026-10-05: the handle currently contains metadata only and does not provide the corpus files for download or redistribution; CLARIN-PL does not distribute the individual novels or translations and does not hold documentation concerning the rights to the individual texts.",
+  "text_license": "public-domain",
+  "test": "Polish law (Art. 36): the author and every credited translator died in 1955 or earlier; a credited name without a curated death year fails closed. 12 rows rely on the retained Wolne Lektury footer stating no economic copyright (Inferred: Wolne Lektury's claim, not re-derived).",
+  "not_assessed": "Edition and critical-edition rights (Art. 99^1-99^2).",
+  "screen": "polish-dynaword-v2/evidence/1000_novels_rights_screen.csv",
+  "screen_script": "polish-dynaword-v2/scripts/novels_rights_screen.py",
+  "release_scope": {
+    "screened": 1000,
+    "kept": 837,
+    "pd_by_term": 825,
+    "pd_per_wolne_lektury": 12,
+    "dropped_in_copyright": 17,
+    "dropped_unresolved": 146
+  }
+}

data/1000_novels/1000_novels.md

@@ -0,0 +1,62 @@
+# 1000_novels
+
+1000 Novels Corpus (CLARIN-PL), public-domain subset
+
+## Dataset description
+- **Source (upstream):** https://clarin-pl.eu/dspace/handle/11321/312
+- **Domain:** literature
+- **Language:** Polish (pl)
+- **License:** `public-domain` (public domain in Poland; per-row basis in `1000_novels.attribution.jsonl`)
+- **Created (range):** unknown
+- **Added:** 2026-07-02; rebuilt 2026-10-05 as the public-domain subset
+
+## Licensing — traceable basis
+The CLARIN-PL record states CC BY 4.0, but CLARIN-PL confirmed on 2026-10-05 that the
+handle holds metadata only: it does not distribute the novels or translations and holds
+no documentation of rights in them. No licence covers the texts.
+
+The release therefore keeps only the texts that are in the public domain in Poland,
+from a per-text screen (`polish-dynaword-v2/evidence/1000_novels_rights_screen.csv`,
+script `polish-dynaword-v2/scripts/novels_rights_screen.py`):
+
+| status | texts | released |
+|---|---:|---|
+| public domain by term: the author and every credited translator died in 1955 or earlier (Art. 36) | 825 | yes |
+| marked public domain by Wolne Lektury in the retained footer | 12 | yes |
+| in copyright; published by Wolne Lektury under CC BY-SA 3.0 | 17 | no |
+| author or translator not verified, or the text does not match its file | 146 | no |
+
+The 12 Wolne Lektury rows rely on Wolne Lektury's statement, not on a death year we
+verified. Edition and critical-edition rights (Art. 99¹–99²) are not assessed.
+
+## Attribution
+The `author` column credits the author and, for translations, the translator:
+`Hans Christian Andersen (tłum. Cecylia Niewiadomska)`. `1000_novels.attribution.jsonl`
+has, per row: author, author's death year, translator, title, how the title was read
+(`file`: header text matching the CLARIN file name, 790; `position`: the line beside the
+author line, 32; `manual`: read by hand, 15), CLARIN file name, screen status and basis.
+
+## Provenance
+Pulled from SpeakLeash's public redistribution (`speakleash-ds-pub`, key
+`1000_novels_corpus_CLARIN-PL`) of the CLARIN-PL corpus; row *i* matches the *i*-th file
+of the CLARIN listing. Rebuilt by `src/clean_1000_novels.py` from the v0.2.5 Parquet
+(SHA-256 pinned in the script). Text, `added`, `created` and `token_count` are unchanged.
+
+## Statistics
+| documents | characters | tokens (tiktoken proxy) |
+|---:|---:|---:|
+| 837 | 129,722,658 | 51,765,528 |
+
+## Per-document license metadata
+| license | documents |
+|---|---:|
+| `public-domain` | 837 |
+
+Author metadata present for **837** documents.
+
+## Filters applied
+- rights screen: read 1,000 → kept 837 (dropped 17 in copyright, 146 unresolved)
+- no length, language, deduplication or OCR filters in this rebuild
+
+Token counts are a fast tiktoken (cl100k) proxy (~1% off Llama-3); the canonical
+Llama-3 count is computed at release.

data/{dziennik_ustaw/dziennik_ustaw.attribution.jsonl → 1000_novels/1000_novels.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80819568fd8a8e9affdc04b0dfb1ff071730e1d84ef3bacf5a81a50dfb989eba
-size 10762843
+oid sha256:2947b057afa57204f3cc2d29752dfc2b2eb1a9482d9449716d849c5b172621d2
+size 63085970

data/1000_novels/1000_novels.stats.json

@@ -0,0 +1,29 @@
+{
+  "read": 1000,
+  "kept": 837,
+  "drop_rights": 163,
+  "drop_short": 0,
+  "drop_lang": 0,
+  "drop_dup": 0,
+  "drop_ocr": 0,
+  "chars": 129722658,
+  "tokens": 51765528,
+  "licenses": {
+    "public-domain": 837
+  },
+  "authors_with_value": 837,
+  "license": "public-domain",
+  "screen": {
+    "pd_by_term": 825,
+    "unresolved": 146,
+    "in_copyright": 17,
+    "pd_per_wolne_lektury": 12
+  },
+  "titles": {
+    "file": 790,
+    "position": 32,
+    "manual": 15
+  },
+  "input_sha256": "27be09e5e2347dcf1a83e94b6c210ca26bdd89365bc3563e88ea5af9846990ea",
+  "screen_sha256": "f5a68656f8ac7ff5c2a7a284094f944983ad8d33383e3d86cc40a1f31b9f2880"
+}

data/biblioteka_nauki/biblioteka_nauki.licence-basis.json

@@ -1,702 +0,0 @@
-{
-  "added_dates": [
-    "2026-06-27"
-  ],
-  "api_flags": {
-    "biblioteka_nauki_articles_1194786": [
-      "reprintPublication"
-    ],
-    "biblioteka_nauki_articles_2154637": [
-      "translationPublication"
-    ],
-    "biblioteka_nauki_articles_508678": [
-      "reprintPublication"
-    ],
-    "biblioteka_nauki_books_1954543": [
-      "translationPublication"
-    ],
-    "biblioteka_nauki_books_2139603": [
-      "translationPublication"
-    ]
-  },
-  "by_code": {
-    "depositor": {
-      "characters": 1344777075,
-      "rows": 35186,
-      "tokens": 518747238
-    },
-    "file_note": {
-      "characters": 189752794,
-      "rows": 2657,
-      "tokens": 72177558
-    }
-  },
-  "by_label": {
-    "CC-BY-2.0": {
-      "depositor": 0,
-      "file_note": 1,
-      "none": 0,
-      "publisher": 0
-    },
-    "CC-BY-3.0": {
-      "depositor": 2306,
-      "file_note": 0,
-      "none": 0,
-      "publisher": 0
-    },
-    "CC-BY-3.0-PL": {
-      "depositor": 6825,
-      "file_note": 1124,
-      "none": 0,
-      "publisher": 0
-    },
-    "CC-BY-4.0": {
-      "depositor": 14460,
-      "file_note": 989,
-      "none": 0,
-      "publisher": 0
-    },
-    "CC-BY-SA-3.0": {
-      "depositor": 7,
-      "file_note": 0,
-      "none": 0,
-      "publisher": 0
-    },
-    "CC-BY-SA-3.0-PL": {
-      "depositor": 2651,
-      "file_note": 40,
-      "none": 0,
-      "publisher": 0
-    },
-    "CC-BY-SA-4.0": {
-      "depositor": 8937,
-      "file_note": 503,
-      "none": 0,
-      "publisher": 0
-    }
-  },
-  "codes": [
-    "file_note",
-    "publisher",
-    "depositor",
-    "none"
-  ],
-  "counts": {
-    "depositor": 35186,
-    "file_note": 2657,
-    "none": 0,
-    "publisher": 0
-  },
-  "created_before_licence_version": {
-    "by_label": {
-      "CC-BY-3.0": 106,
-      "CC-BY-3.0-PL": 85,
-      "CC-BY-4.0": 2279,
-      "CC-BY-SA-3.0-PL": 49,
-      "CC-BY-SA-4.0": 1470
-    },
-    "characters": 184805600,
-    "hand_check": "seeded sample of 100 of these rows: in 90 the `created` year is printed in the first 8000 or last 5000 characters; in the other 10 the text cites no later year than `created`",
-    "note": "a lower bound: the years are those of the generic licence texts (the Polish port may be later, which would add rows), and the platform shows the licence it has today, which may be later than the issue",
-    "overlap": {
-      "already_dropped_by_another_rule": {
-        "file_is_another_work": 3,
-        "printed_licence_nc_or_nd": 1,
-        "reprint_or_prior_publication": 1,
-        "restriction_notice_no_cc_note": 26,
-        "translation_of_earlier_publication": 1
-      },
-      "dropped_with_this_reason": 3957,
-      "flipped_from_keep": {
-        "not_a_notice_on_the_work": 1,
-        "printed_sa_label_by": 1,
-        "restriction_notice_beside_cc_note": 5
-      },
-      "not_otherwise_in_review": 3950
-    },
-    "precedence": "a row some other rule dropped keeps that rule's reason; a row only kept by another rule is dropped here",
-    "release_year": {
-      "CC-BY-2.0": 2004,
-      "CC-BY-3.0": 2007,
-      "CC-BY-3.0-PL": 2007,
-      "CC-BY-4.0": 2013,
-      "CC-BY-SA-3.0": 2007,
-      "CC-BY-SA-3.0-PL": 2007,
-      "CC-BY-SA-4.0": 2013
-    },
-    "rows": 3989,
-    "rule": "the `created` start year is earlier than the first year of the label's licence version; the row is dropped",
-    "tokens": 71278767
-  },
-  "dates": {
-    "depositor": "2026-10-05/2026-10-06",
-    "file_note": "the row's `added` date"
-  },
-  "hand_check": {
-    "file_note": "seeded sample of 60 of the file_note rows read in context: 60 genuine notes of the work's own licence (one carries a general 'unless stated otherwise' note of the publishing university)",
-    "not_measured": "rows with a licence printed in words or a form the parser does not read (false negatives of file_note) were not counted"
-  },
-  "hand_read": {
-    "file_mismatch": "all 51 rows read; the looser sets (title only absent: 476 rows, author only absent: 458, the 51 excluded) were sampled, 30 of each: 0 of the 60 were a different work (other language, encoding or front matter)",
-    "printed_note": "all 13 rows read",
-    "prior_publication": "every row with a hit of the tight families (reprint words in the front matter, permission, earlier publication, title markers, translator credit and translation statement) was read in context; the broad translator-word family (1,326 rows, mostly footnotes) was not. Rows read and not confirmed (prior_publication_any minus prior_publication_in_review) are not in the review",
-    "restriction_notice": "all 120 hits read in context; 6 of the 110 outside file_note rows are not a notice on the work"
-  },
-  "input": {
-    "license_api_sha256": "51e0bf7900e016f4b0102eecfd5032f3969a566899bf8ba094abad9f4f4578b5",
-    "rows_before_review": 41985,
-    "rows_before_review_content_sha256": "cc4ad9ce16aaef3c7bc5197743ad58182e3d5011f78cbf53896083e7a8541954",
-    "v0.2.5_parquet_sha256": "cc93cdd5ca3e6576a1da0aa294df1308e879b8516ac30911289e430c69a07b26"
-  },
-  "issue": "slayerlabs/polish-dynaword-v2#111",
-  "journal_adoption": {
-    "consequence": "an issue from before its journal adopted CC may remain wherever the publication year is not earlier than the licence version",
-    "obtainable": false,
-    "proxy": "created_before_licence_version",
-    "reason": "GET /api/journals/{id} returns the journal's current licence only, the shipped rows carry no journal key, and fetching every item takes about 26 hours at the polite rate"
-  },
-  "nominated_rows": {
-    "file_mismatch": 51,
-    "printed_note": 13,
-    "prior_publication": {
-      "earlier": 77,
-      "permission": 10,
-      "reprint_word": 180,
-      "title_reprint": 1,
-      "title_translation": 9,
-      "translation_statement": 220,
-      "translator_credit": 63
-    },
-    "prior_publication_any": 540,
-    "prior_publication_in_review": 73,
-    "restriction_notice": {
-      "arr_only/file_note": 6,
-      "arr_only/none": 8,
-      "clause/file_note": 4,
-      "clause/none": 102
-    }
-  },
-  "not_screened": {
-    "translations_of_source_texts": {
-      "characters": 270651,
-      "dropped_by_review": {
-        "biblioteka_nauki_articles_534737": "reprint_or_prior_publication"
-      },
-      "ids": [
-        "biblioteka_nauki_articles_1806845",
-        "biblioteka_nauki_articles_1806823",
-        "biblioteka_nauki_articles_1806867",
-        "biblioteka_nauki_articles_2057384",
-        "biblioteka_nauki_articles_1194054",
-        "biblioteka_nauki_articles_1917278",
-        "biblioteka_nauki_articles_699650",
-        "biblioteka_nauki_articles_555820"
-      ],
-      "note": "translations of ancient, archival or literary texts by the item's author; the original is not a rights-held work in the sense of the rule. One of the 9 is in the review under a prior-publication reason and is dropped (`dropped_by_review`)",
-      "rows": 8,
-      "tokens": 109996
-    }
-  },
-  "overlaps": {
-    "biblioteka_nauki_articles_1396194": [
-      "created_before_licence_version",
-      "file_is_another_work"
-    ],
-    "biblioteka_nauki_articles_2137969": [
-      "created_before_licence_version",
-      "translation_of_earlier_publication"
-    ],
-    "biblioteka_nauki_articles_336963": [
-      "created_before_licence_version",
-      "not_a_notice_on_the_work"
-    ],
-    "biblioteka_nauki_articles_371128": [
-      "created_before_licence_version",
-      "reprint_or_prior_publication"
-    ],
-    "biblioteka_nauki_articles_629493": [
-      "created_before_licence_version",
-      "file_is_another_work"
-    ],
-    "biblioteka_nauki_articles_697912": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697939": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697973": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697985": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697987": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697989": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697991": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697993": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_697997": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_698011": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_698057": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_698309": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916222": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916223": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916224": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916225": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916226": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916227": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916228": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916229": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916230": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916235": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916239": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_articles_916240": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_books_1076491": [
-      "created_before_licence_version",
-      "restriction_notice_beside_cc_note"
-    ],
-    "biblioteka_nauki_books_1076500": [
-      "created_before_licence_version",
-      "printed_licence_nc_or_nd"
-    ],
-    "biblioteka_nauki_books_1076514": [
-      "created_before_licence_version",
-      "restriction_notice_beside_cc_note"
-    ],
-    "biblioteka_nauki_books_1182283": [
-      "created_before_licence_version",
-      "printed_sa_label_by"
-    ],
-    "biblioteka_nauki_books_1389278": [
-      "created_before_licence_version",
-      "restriction_notice_beside_cc_note"
-    ],
-    "biblioteka_nauki_books_1409888": [
-      "created_before_licence_version",
-      "restriction_notice_beside_cc_note"
-    ],
-    "biblioteka_nauki_books_1623111": [
-      "created_before_licence_version",
-      "file_is_another_work",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_books_1790306": [
-      "created_before_licence_version",
-      "restriction_notice_beside_cc_note"
-    ],
-    "biblioteka_nauki_books_1930491": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_books_1954543": [
-      "api_flagged_reprint_translation",
-      "restriction_notice_no_cc_note"
-    ],
-    "biblioteka_nauki_books_949210": [
-      "created_before_licence_version",
-      "restriction_notice_no_cc_note"
-    ]
-  },
-  "platform_check": {
-    "answered_200": 42056,
-    "http404": 12,
-    "note": "the 12 http404 rows are withheld, so no shipped row has `none`; see biblioteka_nauki.license-evidence.json",
-    "retrieved": "2026-10-05..2026-10-06",
-    "rows_asked": 42068
-  },
-  "publisher_check": {
-    "done": false,
-    "note": "no journal or publisher page was read; the issue allows `publisher` as a second basis"
-  },
-  "regexes": {
-    "ARR": "(?i)wszelkie\\s+prawa\\s+(?:zastrzeżone|autorskie\\s+zastrzeżone)|wszystkie\\s+prawa\\s+zastrzeżone|all\\s+rights\\s+reserved|tous\\s+droits\\s+réservés|alle\\s+rechte\\s+vorbehalten",
-    "CLAUSE_AFTER_ARR": "(?i)nie\\s+(?:może|mogą)\\b|bez\\s+(?:pisemnej\\s+)?zgody|without\\s+(?:the\\s+)?(?:prior\\s+)?(?:written\\s+)?permission|zabronion|ograniczona",
-    "CONSENT": "(?i)(?:przedrukowywanie|przedruk\\w*|kopiowanie|powielanie|rozpowszechnianie|reprodukowanie|rozpowszechniania)[^.]{0,100}(?:bez\\s+(?:pisemnej\\s+|uprzedniej\\s+|uprzedniego\\s+)?(?:zgody|zezwolenia)|zabronion\\w+|wymaga\\w*\\s+zgody)|(?:reprint\\w*|reproduc\\w*|copying|redistribut\\w*|duplicat\\w*)[^.]{0,80}(?:without\\s+(?:the\\s+)?(?:prior\\s+)?(?:written\\s+)?(?:permission|consent)|prohibited|forbidden|not\\s+permitted)|bez\\s+(?:pisemnej\\s+)?zgody\\s+(?:wydawcy|autora|redakcji)|zabrania\\s+się\\s+(?:kopiowania|powielania|przedruk)|swoboda\\s+użytkownika\\s+ograniczona",
-    "R2_CREDIT": "(?:\\bPrzekład|\\bTłumaczenie|\\bTranslated by|\\bTranslation by|\\bPrzełożył[a]?|\\bTłumaczył[a]?|\\bTłum\\.|\\bPrzeł\\.|\\bPrzekład z [^.]{3,40}:)\\s*:?\\s*([A-ZŁŚŻŹĆ][a-ząęółśżźćńü\\-]{2,}(?:\\s+[A-ZŁŚŻŹĆ][a-ząęółśżźćńü\\-]{2,}){1,2})\\s*(?:[.\\n]|$|\\s(?=[A-Z0-9]))",
-    "R2_FRONT": {
-      "earlier": "(?i)\\b(?:first|originally|previously|earlier)\\s+(?:published|appeared)\\b|\\boriginally\\s+appeared\\b|\\bpublished\\s+(?:earlier|previously|originally|first)\\b|\\bpierwotnie\\s+(?:opublik|ukaza|wydan)\\w+|\\bukaza\\w+\\s+się\\s+(?:po\\s+raz\\s+pierwszy|wcześniej|pierwotnie|uprzednio)|\\b(?:publikowan|opublikowan|drukowan)\\w+\\s+(?:wcześniej|uprzednio|pierwotnie)",
-      "permission": "(?i)\\b(?:reprinted|reproduced|translated|published|republished|printed)\\s+(?:here\\s+)?(?:with|by)\\s+(?:the\\s+)?(?:kind\\s+)?permission|\\b(?:przedrukowan\\w+|przetłumaczon\\w+|opublikowan\\w+|zamieszczon\\w+|publikowan\\w+|tłumaczeni\\w+|wydan\\w+)\\s+(?:artyku\\w+\\s+)?(?:za|na)\\s+(?:zgodą|zezwoleniem|podstawie\\s+zgody)|\\bza\\s+(?:zgodą|zezwoleniem)\\s+(?:wydawcy|wydawnictwa|redakcji|właściciela\\s+praw)|kind\\s+permission",
-      "reprint_word": "(?i)\\bprzedruk\\w*|\\bpierwodruk\\w*|(?<![\\w-])reprint(?:ed)?\\b"
-    },
-    "R2_STATEMENT": "(?i)\\b(?:polish\\s+translation|polski\\s+przekład|przekład\\s+polski|tłumaczenie\\s+polskie|polskie\\s+tłumaczenie|translated\\s+(?:from|into)|przetłumaczon\\w+\\s+(?:z|na)|tłumaczenie\\s+(?:artyku|tekst)\\w*|przekład\\s+(?:artyku|tekst)\\w*|za\\s+zgodą\\s+autora\\s+tłumaczenia|tekst\\s+(?:został\\s+)?przełożon\\w+)",
-    "R2_TITLE": {
-      "title_reprint": "(?i)\\bprzedruk\\b|\\breprint\\b|\\(przedruk",
-      "title_translation": "(?i)\\((?:przekład|tłum\\w*|translation|translated)[^)]*\\)|\\[(?:przekład|tłum\\w*|translation)|\\bprzekład\\s+z\\b|\\btłumaczenie\\s+z\\b|\\btranslated\\s+from\\b|\\btranslation\\s+of\\b"
-    }
-  },
-  "review": {
-    "by_reason": {
-      "api_flagged_reprint_translation": {
-        "characters": 2189037,
-        "rows": 5,
-        "tokens": 844892
-      },
-      "arr_only_no_cc_note": {
-        "characters": 2104519,
-        "rows": 5,
-        "tokens": 804452
-      },
-      "created_before_licence_version": {
-        "characters": 181784176,
-        "rows": 3957,
-        "tokens": 70103154
-      },
-      "discusses_licence": {
-        "characters": 101066,
-        "rows": 3,
-        "tokens": 36837
-      },
-      "file_is_another_work": {
-        "characters": 1237708,
-        "rows": 16,
-        "tokens": 455178
-      },
-      "front_matter_item": {
-        "characters": 6914,
-        "rows": 2,
-        "tokens": 2880
-      },
-      "item_found_later_in_file": {
-        "characters": 178625,
-        "rows": 3,
-        "tokens": 72855
-      },
-      "not_a_notice_on_the_work": {
-        "characters": 158813,
-        "rows": 5,
-        "tokens": 61768
-      },
-      "printed_by_label_sa": {
-        "characters": 169732,
-        "rows": 2,
-        "tokens": 64912
-      },
-      "printed_licence_nc_or_nd": {
-        "characters": 705767,
-        "rows": 4,
-        "tokens": 269700
-      },
-      "printed_sa_label_by": {
-        "characters": 482353,
-        "rows": 1,
-        "tokens": 185072
-      },
-      "reprint_or_prior_publication": {
-        "characters": 1475398,
-        "rows": 30,
-        "tokens": 531012
-      },
-      "republished_by_permission": {
-        "characters": 1359754,
-        "rows": 11,
-        "tokens": 504063
-      },
-      "restriction_notice_beside_cc_note": {
-        "characters": 2442662,
-        "rows": 5,
-        "tokens": 915329
-      },
-      "restriction_notice_no_cc_note": {
-        "characters": 14700907,
-        "rows": 97,
-        "tokens": 5882338
-      },
-      "same_author_prior_version": {
-        "characters": 295509,
-        "rows": 5,
-        "tokens": 117106
-      },
-      "text_garbled": {
-        "characters": 775097,
-        "rows": 25,
-        "tokens": 466995
-      },
-      "title_in_other_language": {
-        "characters": 193470,
-        "rows": 5,
-        "tokens": 74078
-      },
-      "translation_of_cc_original": {
-        "characters": 70772,
-        "rows": 2,
-        "tokens": 25009
-      },
-      "translation_of_earlier_publication": {
-        "characters": 902932,
-        "rows": 17,
-        "tokens": 346552
-      },
-      "translation_title_marker": {
-        "characters": 119365,
-        "rows": 5,
-        "tokens": 47745
-      }
-    },
-    "decided": {
-      "drop": {
-        "characters": 204475044,
-        "rows": 4142,
-        "tokens": 78984634
-      },
-      "keep": {
-        "characters": 6979532,
-        "rows": 63,
-        "tokens": 2827293
-      }
-    },
-    "file": "biblioteka_nauki.review.csv",
-    "kept": {
-      "note": "SHA-256 of every column of the kept rows (id, text, source, added, created, token_count, license, author), as they were before the review; the test recomputes it from the shipped Parquet",
-      "rows": 37843,
-      "rows_sha256": "49a6272befa665daa9c36abd616c951efd0459e5d35a56adea1dc04440772744"
-    },
-    "note": "drops decided by the maintainer on 2026-10-20 (v2#111); the table lists every row a rule nominated, `drop` or `keep`, and nothing else",
-    "reasons": {
-      "drop": {
-        "api_flagged_reprint_translation": "the platform flags the item as a reprint or a translation (`reprintPublication` or `translationPublication`)",
-        "created_before_licence_version": "the `created` start year is earlier than the first year of the label's licence version (RELEASE), so the licence on the platform cannot have been the one chosen at publication",
-        "file_is_another_work": "neither the title nor any author of the description appears where the text starts, ends or is attributed; the file is a different work",
-        "printed_licence_nc_or_nd": "the text prints a NonCommercial or NoDerivatives licence; the platform's label is a CC BY or BY-SA licence",
-        "reprint_or_prior_publication": "the text says the work was published before, or is a reprint, in a place other than this platform",
-        "republished_by_permission": "the text says it is a reprint or a translation published with the permission of an author or publisher",
-        "restriction_notice_no_cc_note": "the front or back matter prints a restriction on copying or reproduction, and prints no CC licence of its own",
-        "translation_of_earlier_publication": "the text is a translation of a work published elsewhere, stated in the text or by a translator credit",
-        "translation_title_marker": "the citation title marks the item as a translation of a third party's text"
-      },
-      "keep": {
-        "arr_only_no_cc_note": "the front or back matter prints 'all rights reserved' without a clause and prints no CC licence of its own",
-        "discusses_licence": "the text discusses licences; the printed licence is not a note about the work",
-        "front_matter_item": "the item is a list of reviewers or of abbreviations; the description names a different item of the issue",
-        "item_found_later_in_file": "the title and author appear later in the file than the first 6000 characters",
-        "not_a_notice_on_the_work": "a phrase found by the rule is a quoted source, a discussion or a notice on something else",
-        "printed_by_label_sa": "the text prints CC BY; the label is CC BY-SA (the label is the less permissive)",
-        "printed_sa_label_by": "the text prints CC BY-SA; the label is CC BY (the label is the more permissive)",
-        "restriction_notice_beside_cc_note": "the front matter prints 'all rights reserved' or a restriction and, in the same front matter, a CC licence with the label's elements",
-        "same_author_prior_version": "the text is a revised or translated version of the authors' own earlier publication",
-        "text_garbled": "the text is not readable (shifted letters or noise), so no title or author can match; a data-quality issue, not a licence issue",
-        "title_in_other_language": "the title appears in another language than the description's",
-        "translation_of_cc_original": "the printed CC licence is the licence of the original that the text translates"
-      }
-    },
-    "rows": 4205,
-    "rule_order": [
-      "printed_note",
-      "prior_publication",
-      "file_mismatch",
-      "restriction_notice",
-      "created_before_licence_version"
-    ],
-    "sha256": "25e27c96280b6af547f2fdfb9d49a2d35861e96195a647047d6836af4a68a401",
-    "shipped": {
-      "characters": 1534529869,
-      "rows": 37843,
-      "tokens": 590924796
-    },
-    "source": {
-      "characters": 1739004913,
-      "rows": 41985,
-      "tokens": 669909430
-    }
-  },
-  "rule": "file_note: licence_basis.note_vs_label(text, label) is 'file_note', i.e. a CC note in the front or back matter, not about a photo or a quoted source, with the label's elements; depositor: every other row, whose label is the platform's licence object for the item",
-  "rules": {
-    "created_before_licence_version": {
-      "by_reason": {
-        "created_before_licence_version": {
-          "characters": 184805600,
-          "rows": 3989,
-          "tokens": 71278767
-        }
-      },
-      "nominated": "the `created` start year is earlier than RELEASE[label]"
-    },
-    "file_mismatch": {
-      "by_reason": {
-        "file_is_another_work": {
-          "characters": 1237708,
-          "rows": 16,
-          "tokens": 455178
-        },
-        "front_matter_item": {
-          "characters": 6914,
-          "rows": 2,
-          "tokens": 2880
-        },
-        "item_found_later_in_file": {
-          "characters": 178625,
-          "rows": 3,
-          "tokens": 72855
-        },
-        "text_garbled": {
-          "characters": 775097,
-          "rows": 25,
-          "tokens": 466995
-        },
-        "title_in_other_language": {
-          "characters": 193470,
-          "rows": 5,
-          "tokens": 74078
-        }
-      },
-      "nominated": "file_mismatch(text, citation)"
-    },
-    "printed_note": {
-      "by_reason": {
-        "discusses_licence": {
-          "characters": 101066,
-          "rows": 3,
-          "tokens": 36837
-        },
-        "printed_by_label_sa": {
-          "characters": 169732,
-          "rows": 2,
-          "tokens": 64912
-        },
-        "printed_licence_nc_or_nd": {
-          "characters": 705767,
-          "rows": 4,
-          "tokens": 269700
-        },
-        "printed_sa_label_by": {
-          "characters": 918857,
-          "rows": 2,
-          "tokens": 342323
-        },
-        "translation_of_cc_original": {
-          "characters": 70772,
-          "rows": 2,
-          "tokens": 25009
-        }
-      },
-      "nominated": "licence_basis.note_vs_label(...) == 'conflict'"
-    },
-    "prior_publication": {
-      "by_reason": {
-        "api_flagged_reprint_translation": {
-          "characters": 2189037,
-          "rows": 5,
-          "tokens": 844892
-        },
-        "reprint_or_prior_publication": {
-          "characters": 1475398,
-          "rows": 30,
-          "tokens": 531012
-        },
-        "republished_by_permission": {
-          "characters": 1359754,
-          "rows": 11,
-          "tokens": 504063
-        },
-        "same_author_prior_version": {
-          "characters": 295509,
-          "rows": 5,
-          "tokens": 117106
-        },
-        "translation_of_earlier_publication": {
-          "characters": 902932,
-          "rows": 17,
-          "tokens": 346552
-        },
-        "translation_title_marker": {
-          "characters": 119365,
-          "rows": 5,
-          "tokens": 47745
-        }
-      },
-      "nominated": "any regex family of R2 in the front matter or the citation title, or an API flag; the review lists only the rows whose reading confirmed a reprint, a translation or an earlier publication"
-    },
-    "restriction_notice": {
-      "by_reason": {
-        "arr_only_no_cc_note": {
-          "characters": 2104519,
-          "rows": 5,
-          "tokens": 804452
-        },
-        "not_a_notice_on_the_work": {
-          "characters": 185978,
-          "rows": 6,
-          "tokens": 72765
-        },
-        "restriction_notice_beside_cc_note": {
-          "characters": 4924931,
-          "rows": 10,
-          "tokens": 1848354
-        },
-        "restriction_notice_no_cc_note": {
-          "characters": 16296650,
-          "rows": 99,
-          "tokens": 6511000
-        }
-      },
-      "nominated": "restriction(text) is not None"
-    }
-  },
-  "source": "biblioteka_nauki",
-  "urls": {
-    "depositor": "https://bibliotekanauki.pl/api/{articles|books|chapters}/{n}",
-    "file_note": "https://bibliotekanauki.pl/{articles|books|chapters}/{n}"
-  }
-}

data/biblioteka_nauki/biblioteka_nauki.license-evidence.json

@@ -1,156 +0,0 @@
-{
- "source": "biblioteka_nauki",
- "checked_at": "2026-10-06",
- "status": "admitted: per-record CC BY / CC BY-SA, version carried per row",
- "license_spdx": "MIXED (per row: CC-BY-2.0, CC-BY-3.0, CC-BY-3.0-PL, CC-BY-4.0, CC-BY-SA-3.0, CC-BY-SA-3.0-PL, CC-BY-SA-4.0)",
- "review_scope": "Licence name, URL and version of every one of the 42,068 rows of the previous release (v0.2.5 after the Public Domain Mark drop, Hub PR 62), read from the platform API. Not a review of the texts, of the authors' standing to license, or of third-party material inside the items.",
- "finding": "The API gives CC BY 2.0 / 3.0 / 3.0 PL / 4.0 and CC BY-SA 3.0 / 3.0 PL / 4.0 per record; v0.2.5 and the first v0.2.6 build collapsed all of them to 4.0 by keeping only license.iconId. The `license` column now holds the API's version. 12 rows the API no longer serves (HTTP 404) are withheld; so are, by the maintainer's decision of 2026-10-06, 56 rows whose text prints a NonCommercial or NoDerivatives licence and 15 rows whose text says it is reprinted or translated by permission of a publisher. articles_2011995 (API: CC BY-SA 4.0; earlier recovery: CC BY) is kept, labelled CC-BY-SA-4.0. No row's text changed.",
- "after_the_review_of_2026_10_20": "The counts in this file (`shipped`, `withheld`, `flagged_action`, `verified`) describe the state of Hub PR 81, before the review of 2026-10-20 (polish-dynaword-v2#111): 4,142 of those 41,985 shipped rows are dropped, among them the 5 rows flagged as a reprint or translation. Current counts are in biblioteka_nauki.review.csv (the 4,205 reviewed rows, each with its decision and reason), biblioteka_nauki.licence-basis.json (the rules and measurements) and stats.json. The API licence per row is unchanged and still in biblioteka_nauki.license-api.json.",
- "upstream_api": "https://bibliotekanauki.pl/api/{articles|books|chapters}/{id}",
- "retrieved": "2026-10-05..2026-10-06",
- "retrieval_script": "data/biblioteka_nauki/recover_license_versions.py (one global request clock, 3 workers, 0.15 s between request starts, back-off on 429/5xx, stops on 403 or a non-JSON 200; no CAPTCHA or terms page was met)",
- "sidecar": "data/biblioteka_nauki/biblioteka_nauki.license-api.json",
- "sidecar_sha256": "51e0bf7900e016f4b0102eecfd5032f3969a566899bf8ba094abad9f4f4578b5",
- "api_licenses": [
-  {
-   "api_license_id": 21,
-   "label": "CC-BY-2.0",
-   "nameEn": "CC BY: Creative Commons Attribution 2.0 Generic",
-   "urlEn": "https://creativecommons.org/licenses/by/2.0/legalcode",
-   "api_rows": 13,
-   "shipped": 1
-  },
-  {
-   "api_license_id": 14,
-   "label": "CC-BY-3.0",
-   "nameEn": "CC BY: Creative Commons Attribution 3.0 Unported",
-   "urlEn": "https://creativecommons.org/licenses/by/3.0/legalcode",
-   "api_rows": 2413,
-   "shipped": 2413
-  },
-  {
-   "api_license_id": 7,
-   "label": "CC-BY-3.0-PL",
-   "nameEn": "CC BY: Creative Commons Attribution 3.0 PL",
-   "urlEn": "https://creativecommons.org/licenses/by/3.0/pl/legalcode",
-   "api_rows": 8104,
-   "shipped": 8098
-  },
-  {
-   "api_license_id": 1,
-   "label": "CC-BY-4.0",
-   "nameEn": "CC BY: Creative Commons Attribution 4.0",
-   "urlEn": "https://creativecommons.org/licenses/by/4.0/legalcode.en",
-   "api_rows": 17800,
-   "shipped": 17768
-  },
-  {
-   "api_license_id": 15,
-   "label": "CC-BY-SA-3.0",
-   "nameEn": "CC BY-SA: Creative Commons Attribution-ShareAlike 3.0 Unported",
-   "urlEn": "https://creativecommons.org/licenses/by-sa/3.0/legalcode",
-   "api_rows": 7,
-   "shipped": 7
-  },
-  {
-   "api_license_id": 8,
-   "label": "CC-BY-SA-3.0-PL",
-   "nameEn": "CC BY-SA: Creative Commons Attribution-ShareAlike 3.0 PL",
-   "urlEn": "https://creativecommons.org/licenses/by-sa/3.0/pl/legalcode",
-   "api_rows": 2761,
-   "shipped": 2754
-  },
-  {
-   "api_license_id": 2,
-   "label": "CC-BY-SA-4.0",
-   "nameEn": "CC BY-SA: Creative Commons Attribution-ShareAlike 4.0",
-   "urlEn": "https://creativecommons.org/licenses/by-sa/4.0/legalcode.en",
-   "api_rows": 10958,
-   "shipped": 10944
-  }
- ],
- "withheld": 83,
- "withheld_reasons": {
-  "API: http404": 12,
-  "text prints a NonCommercial or NoDerivatives licence (maintainer decision 2026-10-06)": 56,
-  "text says it is reprinted or translated by permission of a publisher (maintainer decision 2026-10-06)": 15
- },
- "maintainer_decision": "2026-10-06 (polish-dynaword-v2#57, Hub PR 81): keep the 12 HTTP 404 rows withheld; relabel articles_2011995 to CC-BY-SA-4.0 and keep it; withhold 56 rows whose text prints an NC or ND licence and 15 rows whose text says it is reprinted or translated by permission of a publisher; keep rows whose wording is a citation, a quoted work's notice, prose about licence types, a permission for a figure or table, or a translation permitted by the author alone. The ids and one reason per id are in src/clean_biblioteka_nauki.py (TEXT_NC_ND, TEXT_REPRINT) and in the stats `withheld`.",
- "flagged": {
-  "translationPublication": 3,
-  "reprintPublication": 2
- },
- "flagged_action": "kept; the flags (reprintPublication, translationPublication) are not a licence signal and restricted is set on no row",
- "public_domain_mark": "3 rows (API licence id 22) already dropped in Hub PR 62; absent from the shard and from the sidecar",
- "all_rights_reserved_text_phrase": {
-  "note": "Rows whose text contains the phrase. The earlier review counted 128 (88 cc-by, 40 cc-by-sa); this scan could not reproduce that exactly: four regex variants give 121, 126, 127 (87 CC BY, 40 CC BY-SA) and 137. Every one of them has a CC BY or CC BY-SA licence in the API; none is all-rights-reserved there. Kept; undecided. Counted on the 42,068 rows of Hub PR 62; of them 2 (cs) and 4 (ci, ws_ci) are among the 71 rows withheld on 2026-10-06, so the shipped shard has 119 / 122 / 123 (ws_ci_hyph not recomputed).",
-  "api_licenses_by_variant": {
-   "cs": {
-    "pattern": "case-sensitive 'Wszelkie prawa zastrzeżone' | 'All rights reserved'",
-    "rows": 121,
-    "api_licenses": {
-     "CC-BY-3.0-PL": 55,
-     "CC-BY-4.0": 29,
-     "CC-BY-SA-3.0-PL": 18,
-     "CC-BY-SA-4.0": 19
-    }
-   },
-   "ci": {
-    "pattern": "same, case-insensitive",
-    "rows": 126,
-    "api_licenses": {
-     "CC-BY-3.0-PL": 57,
-     "CC-BY-4.0": 30,
-     "CC-BY-SA-3.0-PL": 18,
-     "CC-BY-SA-4.0": 21
-    }
-   },
-   "ws_ci": {
-    "pattern": "case-insensitive, any whitespace between words (NFKC text)",
-    "rows": 127,
-    "api_licenses": {
-     "CC-BY-3.0-PL": 57,
-     "CC-BY-4.0": 30,
-     "CC-BY-SA-3.0-PL": 19,
-     "CC-BY-SA-4.0": 21
-    }
-   },
-   "ws_ci_hyph": {
-    "pattern": "as ws_ci, plus a hyphenated line break and 'wszystkie prawa zastrzeżone'",
-    "rows": 137,
-    "api_licenses": {
-     "CC-BY-3.0-PL": 59,
-     "CC-BY-4.0": 31,
-     "CC-BY-SA-3.0-PL": 24,
-     "CC-BY-SA-4.0": 23
-    }
-   }
-  }
- },
- "unchanged_vs_pr62": {
-  "pr62_parquet_sha256": "6b57b8eec198c9899198a73cea1af372df09b43783a49474a856ccbf83c97da4",
-  "rows_compared": 41985,
-  "rule": "same ids in the same order, same SHA-256 of every text, every column except `license` equal; digest from src/clean_biblioteka_nauki.py content_digest, taken over PR 62's rows minus the 83 withheld ids",
-  "content_sha256": "cc4ad9ce16aaef3c7bc5197743ad58182e3d5011f78cbf53896083e7a8541954"
- },
- "verified": [
-  "V: license object (id, iconId, nameEn, urlEn, creativeCommons) of all 42,068 rows fetched via the API on 2026-10-05/06; 42,056 answered 200, 12 answered 404 (re-asked once by hand, 404 again)",
-  "V: for each kept row the creativecommons.org URL, English name and icon agree and match the label recovered earlier",
-  "V: ids, order, text and all non-license columns equal to Hub PR 62 for the 41,985 shipped rows",
-  "V: the 3 Public Domain Mark ids are absent from the shard",
-  "V: the contract test asserts that none of the 71 text-based withheld ids is in the shard and that articles_2011995 is labelled CC-BY-SA-4.0"
- ],
- "inferred": [
-  "I: that the API `license` field states the licence the rights holder granted for the full text in the corpus"
- ],
- "not_checked": [
-  "Whether the licence field matches the licence printed in each PDF or publisher page; about 120 shipped texts contain 'all rights reserved' although the API says CC",
-  "Authors' and publishers' standing to license, and third-party material (figures, quotations) inside CC items",
-  "Why 12 records answer 404 now (deleted, withdrawn, or an API change) and why articles_2011995 changed from the earlier CC BY label to CC BY-SA 4.0",
-  "Whether the earlier licence recovery was run before a licence change on the platform: its date is not recorded",
-  "The text-assembly script of the v0.2.4 build is not in the repository; the text comes from the SpeakLeash redistribution (Hub PR 11) and how it was assembled was not re-verified",
-  "Attribution strings were not re-fetched in this change",
-  "Reprint / translation flagged rows (5) were not separately reviewed",
-  "The text-based withheld classes rest on one reader's pass over about 300 characters of context around regex hits (a CC licence URL or name with NC or ND; permission wording near 'reprint', 'translated', 'za zgodą'); other spellings, other languages and wordings the regexes do not match were not searched"
- ]
-}

data/biblioteka_nauki/biblioteka_nauki.md

@@ -6,136 +6,38 @@ Biblioteka Nauki — Polish open-access scholarly corpus (scientific articles, b
 - **Source (upstream):** https://bibliotekanauki.pl (operated by ICM, University of Warsaw — Centrum Otwartej Nauki)
 - **Domain:** academic (scientific articles, books, chapters)
 - **Language:** Polish (pl)
-- **License:** per-document, with the version the upstream API gives for each record — CC BY (2.0, 3.0, 3.0 PL, 4.0) 25,705 · CC BY-SA (3.0, 3.0 PL, 4.0) 12,138; table below
+- **License:** per-document — CC BY 4.0 28,335 · CC BY-SA 4.0 13,733 · Public Domain 3
 - **Created (range):** per-document publication year, from each item's bibliotekanauki.pl metadata
 - **Added:** 2026-06-27
 
 ## Licensing — traceable basis
-The upstream collection includes all-rights-reserved items, so a per-item gate is mandatory. Each row's
-licence was read from the bibliotekanauki.pl API (`bibliotekanauki.pl/api/{type}/{id}` → `license`:
-name, URL, icon) on 2026-10-05/06, one request per row of the previous release
-(`data/biblioteka_nauki/recover_license_versions.py`). The API responses are committed as
-`biblioteka_nauki.license-api.json`. The earlier recovery stored only `license.iconId` (`cc-by` /
-`cc-by-sa`), which drops the version, so v0.2.5 labelled every row 4.0 although the API gives 2.0, 3.0,
-3.0 PL and 4.0 (polish-dynaword-v2#57).
+The SpeakLeash blob carries no per-document license field, and ~53% of the upstream collection is
+all-rights-reserved, so a per-item gate was mandatory. Each item's license was recovered from the
+bibliotekanauki.pl API (`bibliotekanauki.pl/api/{type}/<id>` → `license.iconId`). Only openly-licensed
+items are kept; all-rights-reserved and unknown items are gated out. Recovery yielded 43,576 clean ids.
 
-| `license` label | documents | API licence (`nameEn`) |
-|---|---:|---|
-| CC-BY-2.0 | 1 | CC BY: Creative Commons Attribution 2.0 Generic |
-| CC-BY-3.0 | 2,306 | CC BY: Creative Commons Attribution 3.0 Unported |
-| CC-BY-3.0-PL | 7,949 | CC BY: Creative Commons Attribution 3.0 PL |
-| CC-BY-4.0 | 15,449 | CC BY: Creative Commons Attribution 4.0 |
-| CC-BY-SA-3.0 | 7 | CC BY-SA: Creative Commons Attribution-ShareAlike 3.0 Unported |
-| CC-BY-SA-3.0-PL | 2,691 | CC BY-SA: Creative Commons Attribution-ShareAlike 3.0 PL |
-| CC-BY-SA-4.0 | 9,440 | CC BY-SA: Creative Commons Attribution-ShareAlike 4.0 |
+| license | documents |
+|---|---:|
+| CC BY 4.0 | 28,335 |
+| CC BY-SA 4.0 | 13,733 |
+| Public Domain | 3 |
 
-The label is carried in the parquet `license` column. `src/clean_biblioteka_nauki.py` accepts a row only
-when the API licence is a Creative Commons BY or BY-SA licence of version 2.0 to 4.0 (generic or the
-Polish port), its `creativecommons.org` URL, English name and icon agree, and the kind matches the
-label recovered earlier. Anything else is withheld, not guessed (12 rows the API now answers with
-HTTP 404). `articles_2011995` is the one row whose API licence (CC BY-SA 4.0) differs from the earlier
-recovery (CC BY); it is kept and labelled CC-BY-SA-4.0 (maintainer decision 2026-10-06). For the
-37,843 rows shipped, only the `license` column differs from the previous release; ids, order and text
-are unchanged.
-
-Three items labelled "Domena publiczna" were dropped for v0.2.6 (`src/clean_biblioteka_nauki.py`,
-polish-dynaword-v2#52): `books_2142716`, `books_2147851`, `articles_2097363` (376,155 tokens).
-Biblioteka Nauki gives them API licence id 22, the CC Public Domain Mark 1.0, which is a label, not a
-waiver or a licence. They are original works first published 2019-2022, so the Polish life+70 term has
-not run out, and `books_2147851` itself prints "Copyright by Jerzy Zając 2019".
-
-The API flags 5 rows as a reprint (2) or translation (3) publication; none has `restricted` set. The
-licence check does not look at those flags; the 5 rows are dropped in the review below.
-
-## Withheld rows
-83 of the 42,068 rows of the previous release are not shipped. The ids, with one reason per id, are in
-`biblioteka_nauki.stats.json` (`withheld`) and, for the two text-based classes, in
-`src/clean_biblioteka_nauki.py`, whose build fails if a listed id is not reached. The text-based
-classes were decided by the maintainer on 2026-10-06 (polish-dynaword-v2#57, Hub PR 81).
-
-| reason class | rows | what it is |
-|---|---:|---|
-| API HTTP 404 | 12 | the API no longer serves the record, so its licence cannot be confirmed; why is not known |
-| text prints a NonCommercial or NoDerivatives licence | 56 | the text itself (front matter, colophon or a licence URL) prints CC BY-NC, BY-NC-SA, BY-NC-ND or BY-ND while the API says CC BY or CC BY-SA: Krytyka Prawa 2019 (21), Journal of Health Sciences 2014 (12), 23 others |
-| text says it is reprinted or translated by permission of a publisher | 15 | "reprinted by permission of ..." on the whole text (Oxford University Press 3, other publishers or journals 12); nothing shows that the permission covers redistribution under CC |
-
-Rows are kept when the wording is only a citation, a quoted work's own notice, prose about licence
-types, a permission for a figure or table, or a translation permitted by the author alone. These
-readings are one reader's judgement of about 300 characters of context around each match.
-
-## Per-record licence basis
-Each line of `biblioteka_nauki.attribution.jsonl` also says what the row's licence rests on
-(polish-dynaword-v2#111): `licence_basis`, `licence_basis_url` and `licence_basis_date`.
-
-| `licence_basis` | rows | what it is | URL | date |
-|---|---:|---|---|---|
-| `file_note` | 2,657 | the text itself prints a CC licence with the label's elements in its front or back matter | the item's page on bibliotekanauki.pl | the row's `added` date |
-| `depositor` | 35,186 | only the platform's licence field for the item states it; the field is set when the item is uploaded | the item's record at `bibliotekanauki.pl/api/...` | 2026-10-05/2026-10-06, when it was read |
-
-No row has `publisher` or `none`: the journals' and publishers' own pages were not read, and the 12
-rows the API did not serve are withheld. The rules and their measurements are in
-`biblioteka_nauki.licence-basis.json`. A seeded sample of 60 `file_note` rows, read in context, held 60
-genuine notes of the work's own licence; rows that print a licence in a form the parser does not read
-were not counted.
-
-## Rows dropped after review
-4,142 of the 41,985 rows left by the steps above are dropped (polish-dynaword-v2#111, maintainer
-decisions of 2026-10-20). `biblioteka_nauki.review.csv` (`id,decision,reason`, pinned by SHA-256 in
-`src/clean_biblioteka_nauki.py`) lists the 4,205 rows a rule nominated, each with `drop` or `keep`, and
-nothing else; the build refuses to run when the rules and the table disagree.
-
-| reason | rows | what it is |
-|---|---:|---|
-| created_before_licence_version | 3,957 | the `created` start year is earlier than the first year of the label's licence version (CC BY 2.0: 2004; 3.0 and 3.0 PL: 2007; 4.0: 2013), so the licence the platform shows now cannot be the one chosen at publication |
-| restriction_notice_no_cc_note | 97 | the front or back matter prints a restriction on copying or reproduction and no CC licence of its own |
-| reprint_or_prior_publication | 30 | the text says the work was published before, or is a reprint, in a place other than this platform |
-| translation_of_earlier_publication | 17 | the text is a translation of a work published elsewhere, stated in the text or by a translator credit |
-| file_is_another_work | 16 | neither the title nor any author of the description appears where the text starts, ends or is attributed; the file is a different work |
-| republished_by_permission | 11 | the text says it is a reprint or a translation published with the permission of an author or publisher |
-| api_flagged_reprint_translation | 5 | the platform flags the item as a reprint or a translation |
-| translation_title_marker | 5 | the citation title marks the item as a translation of a third party's text |
-| printed_licence_nc_or_nd | 4 | the text prints a NonCommercial or NoDerivatives licence; the platform's label is a CC BY or BY-SA licence |
-
-A row gets the first reason in this order: printed licence, prior publication, file mismatch,
-restriction notice, year. 3,989 rows meet the year rule; 32 of them also meet an earlier drop reason and
-keep it, and 7 that an earlier rule had read and kept are dropped under the year rule. In a seeded sample
-of 100 rows dropped under it, 90 print the `created` year in the first 8,000 or last 5,000 characters,
-and the other 10 cite no later year.
-
-Journal adoption years could not be obtained: the platform's API gives a journal's current licence
-only, the shipped rows carry no journal key, and asking for every item would take about 26 hours. Issues
-from before a journal adopted Creative Commons may therefore remain where the publication year is not
-earlier than the licence version. The year rule is a lower bound: the years are those of the generic
-licence texts (the Polish port may be later), and the platform shows the licence an item has today.
-
-The other 63 nominated rows were read and stay: a printed licence that belongs to an original or to a
-discussion of licences, "all rights reserved" beside a CC note or without a clause, unreadable text,
-and similar. The reasons and counts are in the evidence file.
+The per-document license is carried in the parquet `license` column.
 
 ## Attribution
 Per-document attribution (author · year · title · publisher) was re-fetched 1:1 from
-bibliotekanauki.pl (43,576 / 43,576 ok). The parquet `author` column carries the author names and the
-full citation (`Autor | Rok | Tytuł | Wydawca`) is in `biblioteka_nauki.attribution.jsonl`,
+bibliotekanauki.pl (43,576 / 43,576 ok) and is carried in the parquet `attribution` column,
 satisfying the CC BY / CC BY-SA attribution requirement that applies to every document here.
 
-`author` is the first field of that citation — the name(s), several joined by `; `. A footnote marker
-glued to the last name in the source (`… Kowol 1`) is dropped, and the `. .` placeholder used for the
-25 "Noty o autorach" pages with no single author (27 before the review) becomes an empty value. The sidecar keeps the citation
-verbatim: one JSON object `{"id", "attribution", "licence_basis", "licence_basis_url",
-"licence_basis_date"}` per row, in row order.
-
 ## Provenance
-Text from the SpeakLeash redistribution; licence and attribution recovered per document from the
-Biblioteka Nauki API (Hub PR 11); assembly script not in the repository. Hub PR 11, which added this
-source, says the SpeakLeash blob has no per-document licence and that the Parquet ships ready-built;
-the key is `biblioteka_nauki_pl_corpus`. This release only filters and relabels the shipped Parquet
-(`src/clean_biblioteka_nauki.py`, pinned to the v0.2.5 file by SHA-256); how the text layer was
-assembled is not re-verified here.
+Pulled from SpeakLeash's public redistribution (`speakleash-ds-pub`, key `biblioteka_nauki_pl_corpus`)
+of the upstream source above. SpeakLeash credited as intermediate aggregator; upstream license and
+attribution recovered per document and preserved.
 
 ## Statistics
 | documents | characters | tokens (tiktoken proxy) |
 |---:|---:|---:|
-| 37,843 | 1,534,529,869 | 590,924,796 |
+| 42,071 | 1,748,333,935 | 673,488,831 |
 
 ## Filters applied (build_dynaword.py)
 Minimal, per Dynaword guidelines (heavy filtering left to downstream use):
@@ -143,27 +45,15 @@ Minimal, per Dynaword guidelines (heavy filtering left to downstream use):
 - drop non-Polish (diacritic ratio): **925**
 - exact cross-source dedup (sha1): **180**
 - OCR alpha-ratio < 0.70 (OCR source): **400**
-- licence not an established grant, CC Public Domain Mark (`src/clean_biblioteka_nauki.py`): **3**
-- licence not confirmed by the API as an allowlisted CC BY / BY-SA version, HTTP 404 (`src/clean_biblioteka_nauki.py`): **12**
-- text prints a NonCommercial or NoDerivatives licence (`src/clean_biblioteka_nauki.py`): **56**
-- text says it is reprinted or translated by permission of a publisher (`src/clean_biblioteka_nauki.py`): **15**
-- reviewed drops (`src/clean_biblioteka_nauki.py`, polish-dynaword-v2#111): **4,142**
-- read 43,576 → kept 37,843
+- read 43,576 → kept 42,071
 
-Token counts are a tiktoken (cl100k) proxy; no Llama-3 count is published.
+Token counts are a fast tiktoken (cl100k) proxy (~1% off Llama-3); the canonical
+Llama-3 count is computed at release.
 
 ## Limitations
-- **Mixed license.** Roughly one third of the documents are CC BY-SA (3.0, 3.0 PL or 4.0; share-alike);
-  the exact per-document licence and version is in the `license` column. Downstream redistribution must
-  respect share-alike for those documents, under their own version.
-- **Licence is the API's word.** For 35,186 of the 37,843 rows the platform's licence field, set by
-  the depositor at upload, is the only statement of the licence; 2,657 also print it in their text.
-  No journal or publisher page was read. 16 texts contain the phrase "Wszelkie prawa zastrzeżone" or
-  "All rights reserved" as written, although their API licence is CC BY or CC BY-SA. The rows are
-  kept; the conflict between a footer in the extracted text and the platform's licence field is not
-  resolved here.
-- **Journal adoption.** Issues from before a journal adopted Creative Commons may remain; see "Rows
-  dropped after review".
+- **Mixed license.** Roughly one third of the documents are CC BY-SA 4.0 (share-alike); the exact
+  per-document license is in the `license` column. Downstream redistribution must respect share-alike
+  for those documents.
 - **OCR / extraction noise.** Text is extracted from publisher PDFs; some layout and hyphenation
   artefacts remain after the alpha-ratio filter.
 - **Per-document dates.** `created` is the publication year from upstream metadata; finer-grained

data/biblioteka_nauki/biblioteka_nauki.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ae65d74574665e446db8a6746341ddf9300f6b6d5949b3485d13bbe122f11da
-size 943192454
+oid sha256:cc93cdd5ca3e6576a1da0aa294df1308e879b8516ac30911289e430c69a07b26
+size 1076638904

data/biblioteka_nauki/biblioteka_nauki.stats.json

@@ -1,124 +1,12 @@
 {
   "read": 43576,
-  "kept": 37843,
+  "kept": 42071,
   "drop_short": 0,
   "drop_lang": 925,
   "drop_dup": 180,
   "drop_ocr": 400,
-  "chars": 1534529869,
-  "tokens": 590924796,
+  "chars": 1748333935,
+  "tokens": 673488831,
   "secs": 484.1,
-  "license": "CC-BY-2.0 / CC-BY-3.0 / CC-BY-3.0-PL / CC-BY-4.0 / CC-BY-SA-3.0 / CC-BY-SA-3.0-PL / CC-BY-SA-4.0",
-  "drop_rights": 3,
-  "licenses": {
-    "CC-BY-2.0": 1,
-    "CC-BY-3.0": 2306,
-    "CC-BY-3.0-PL": 7949,
-    "CC-BY-4.0": 15449,
-    "CC-BY-SA-3.0": 7,
-    "CC-BY-SA-3.0-PL": 2691,
-    "CC-BY-SA-4.0": 9440
-  },
-  "input_sha256": "cc93cdd5ca3e6576a1da0aa294df1308e879b8516ac30911289e430c69a07b26",
-  "drop_license_unverified": 12,
-  "withheld": {
-    "biblioteka_nauki_articles_1032116": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032173": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032215": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032225": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032276": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032302": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032351": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032417": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032461": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032495": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032501": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1032509": "Journal of Health Sciences 2014 (Radom): the text prints the Creative Commons Attribution Noncommercial licence",
-    "biblioteka_nauki_articles_1191739": "the text prints CC BY-NC-SA 4.0",
-    "biblioteka_nauki_articles_1621507": "translated by permission of the author and the publisher (Darton, Longman and Todd)",
-    "biblioteka_nauki_articles_1622259": "reprinted by permission of the University of Arkansas Press, via The Permissions Company",
-    "biblioteka_nauki_articles_1622298": "Polish translation published by permission of the author and Oxford University Press; further reproduction needs the publisher's consent",
-    "biblioteka_nauki_articles_1917546": "translated and published by permission of the author and of the journal's publisher (Nova et Vetera)",
-    "biblioteka_nauki_articles_1963167": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1963170": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1963181": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1963183": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1963187": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1963190": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1963193": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1963195": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1964252": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1964253": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1964255": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1964257": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1966144": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1991243": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_1992050": "translated and published by permission of the author and of the journal's publisher (Nova et Vetera)",
-    "biblioteka_nauki_articles_2040728": "the text prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_2040731": "the text prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_2057193": "the text prints a CC-BY-NC-ND 4.0 licence URL",
-    "biblioteka_nauki_articles_2057203": "the text prints a CC-BY-NC-ND 4.0 licence URL",
-    "biblioteka_nauki_articles_2082818": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_2082821": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_2082824": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_2082827": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_2082829": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_2082837": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_2082857": "Krytyka Prawa 2019: the text prints CC BY-NC-ND 3.0",
-    "biblioteka_nauki_articles_2089605": "the text prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_2089606": "the text prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_2089607": "the text prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_2089616": "the text prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_486876": "the issue colophon prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_487021": "the text prints CC BY-NC-ND 4.0",
-    "biblioteka_nauki_articles_512191": "API: http404",
-    "biblioteka_nauki_articles_520085": "the text prints CC BY-NC-ND 2.0 and says it is translated by permission of the author",
-    "biblioteka_nauki_articles_604103": "API: http404",
-    "biblioteka_nauki_articles_605338": "API: http404",
-    "biblioteka_nauki_articles_623064": "reprinted by permission of Sage",
-    "biblioteka_nauki_articles_623121": "translated and reproduced with permission of International Affairs",
-    "biblioteka_nauki_articles_630597": "reprinted with the editors' permission",
-    "biblioteka_nauki_articles_634914": "translated and reprinted by permission of Oxford University Press (for the Oral History Association); limited-rights notice with a licence number",
-    "biblioteka_nauki_articles_634916": "translated and reprinted by permission of Oxford University Press (for the Oral History Association); limited-rights notice with a licence number",
-    "biblioteka_nauki_articles_634918": "reprinted from the Oral History Review by permission of the Oral History Association",
-    "biblioteka_nauki_articles_643727": "\"Reprinted by Permission of SAGE Publications\"",
-    "biblioteka_nauki_articles_643809": "\"Reprinted by Permission of SAGE Publications\"",
-    "biblioteka_nauki_articles_643825": "reprinted by permission of Indiana University Press",
-    "biblioteka_nauki_articles_694180": "reprinted by permission of Westview Press",
-    "biblioteka_nauki_articles_694689": "API: http404",
-    "biblioteka_nauki_articles_699376": "API: http404",
-    "biblioteka_nauki_articles_699392": "API: http404",
-    "biblioteka_nauki_articles_699396": "API: http404",
-    "biblioteka_nauki_articles_699422": "API: http404",
-    "biblioteka_nauki_articles_699424": "API: http404",
-    "biblioteka_nauki_articles_699432": "API: http404",
-    "biblioteka_nauki_articles_699440": "API: http404",
-    "biblioteka_nauki_articles_699442": "API: http404",
-    "biblioteka_nauki_books_1076493": "the colophon prints CC BY-NC-ND 3.0 PL",
-    "biblioteka_nauki_books_1191609": "the colophon prints CC BY-NC-ND 3.0 PL",
-    "biblioteka_nauki_books_1377755": "the colophon prints CC BY-NC-ND 3.0 PL",
-    "biblioteka_nauki_books_1396563": "the front page prints CC BY-NC-SA 4.0 (its colophon says CC BY-SA 4.0)",
-    "biblioteka_nauki_books_1396571": "the colophon prints CC BY-NC 3.0 PL",
-    "biblioteka_nauki_books_1409913": "the colophon prints CC BY-ND 3.0 PL",
-    "biblioteka_nauki_books_1788278": "the colophon prints CC BY-NC 3.0 PL; the text and the attribution field name different works",
-    "biblioteka_nauki_books_2010681": "the colophon prints a NonCommercial licence, contradicting its own CC BY-SA 4.0 abbreviation",
-    "biblioteka_nauki_books_2028459": "the text prints CC BY-NC-SA 4.0",
-    "biblioteka_nauki_books_2143725": "the text prints CC BY-NC 3.0 PL (its foreword says CC BY)",
-    "biblioteka_nauki_books_2159317": "the text prints CC BY-NC-SA 4.0"
-  },
-  "content_sha256": "5093fd3ec52f5a6abfd11631a9f4f556d37fecdf21c29ad6246cf319086d7819",
-  "drop_text_nc_nd": 56,
-  "drop_text_reprint": 15,
-  "drop_review": 4142,
-  "drop_review_by_reason": {
-    "api_flagged_reprint_translation": 5,
-    "created_before_licence_version": 3957,
-    "file_is_another_work": 16,
-    "printed_licence_nc_or_nd": 4,
-    "reprint_or_prior_publication": 30,
-    "republished_by_permission": 11,
-    "restriction_notice_no_cc_note": 97,
-    "translation_of_earlier_publication": 17,
-    "translation_title_marker": 5
-  }
+  "license": "CC-BY-4.0 / CC-BY-SA-4.0"
 }

data/biblioteka_nauki/recover_attribution.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Targeted attribution pass for the CLEAN (CC-BY/CC-BY-SA/CC0) Biblioteka Nauki ids ONLY.
+"""Targeted attribution pass for the CLEAN (CC-BY/CC-BY-SA/PD) Biblioteka Nauki ids ONLY.
 The first recovery pass stored the license correctly but parsed the wrong attribution fields.
 CC-BY/CC-BY-SA legally REQUIRE attribution, so re-fetch just the ~43.6k clean ids and extract:
   authors = contributors[role=AUTHOR] firstName+lastName ; year = dates[PUBLISHED].date.year ;
@@ -16,10 +16,7 @@ HERE = os.path.dirname(os.path.abspath(__file__))
 LIC = os.path.join(HERE, "licenses.jsonl")
 OUT = os.path.join(HERE, "attribution.jsonl")
 PROG = os.path.join(HERE, "attribution_progress.txt")
-# The v0.2.4 run also kept "public-domain": the CC Public Domain Mark, a label rather than a grant
-# (polish-dynaword-v2#52). src/clean_biblioteka_nauki.py drops it from the shipped Parquet; its KEEP
-# set must equal this one.
-CLEAN = {"cc-by", "cc-by-sa", "cc0"}
+CLEAN = {"cc-by", "cc-by-sa", "cc0", "public-domain"}
 WORKERS = 8
 UA = ("Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 "
       "(KHTML, like Gecko) Chrome/124 Safari/537.36")

data/biblioteka_nauki/recover_license_versions.py

@@ -1,238 +0,0 @@
-#!/usr/bin/env python3
-"""Re-fetch the licence name, URL and version of every shipped Biblioteka Nauki row.
-
-recover_licenses.py kept only `license.iconId` (cc-by / cc-by-sa), which drops the licence version
-(polish-dynaword-v2#57). This asks `GET bibliotekanauki.pl/api/{type}/{id}` once per row of the
-shipped Parquet and stores the API's own `license` object. It judges nothing: the allowlist and the
-fail-closed handling live in src/clean_biblioteka_nauki.py.
-
-Polite by construction: one global request clock (`--interval`), a few workers, back-off on
-429/5xx and connection errors (Retry-After honoured), and a circuit breaker. The run stops, and
-exits 2, on a 403, on a 200 that is not the JSON record (an interstitial or CAPTCHA page), or after
-`--max-failures` consecutive requests that exhausted their retries. It never works around a block.
-The cache is append-only JSONL, so a stopped run resumes where it left off.
-
-  python3 data/biblioteka_nauki/recover_license_versions.py fetch  --cache CACHE.jsonl --parquet SHARD
-  python3 data/biblioteka_nauki/recover_license_versions.py export --cache CACHE.jsonl --parquet SHARD
-
-The committed sidecar covers the 42,068 rows of the shard before the 13 unverifiable rows were withheld
-(Hub PR 62, SHA-256 6b57b8eec198c9899198a73cea1af372df09b43783a49474a856ccbf83c97da4). Pass that file as
-SHARD to reproduce it; the default, the shipped shard, no longer has those 13 rows.
-"""
-from __future__ import annotations
-
-import argparse
-import json
-import os
-import random
-import re
-import sys
-import threading
-import time
-from collections import Counter
-from concurrent.futures import ThreadPoolExecutor
-from datetime import datetime, timezone
-from pathlib import Path
-
-import pyarrow.parquet as pq
-import requests
-
-SOURCE = "biblioteka_nauki"
-HERE = Path(__file__).resolve().parent
-PARQUET = HERE / f"{SOURCE}.parquet"
-SIDECAR = HERE / f"{SOURCE}.license-api.json"
-API = "https://bibliotekanauki.pl/api/{type}/{id}"
-USER_AGENT = "polish-dynaword-rights-recheck/1.0 (+https://huggingface.co/datasets/SlayerLab/polish-dynaword)"
-ROW_ID = re.compile(rf"^{SOURCE}_(articles|books|chapters)_(\d+)$")
-FINAL = {"ok", "http404", "http410", "id_mismatch"}  # a restart does not ask again
-FLAGS = ("restricted", "reprintPublication", "translationPublication")
-LICENSE_FIELDS = ("id", "iconId", "nameEn", "urlEn", "creativeCommons")
-MAX_RETRY = 6
-
-
-class Blocked(Exception):
-    """The host refused us or answered with something other than the JSON record. Stop and report."""
-
-
-def parse_row_id(row_id: str) -> tuple[str, int]:
-    match = ROW_ID.match(row_id)
-    if not match:
-        raise ValueError(f"not a {SOURCE} row id: {row_id!r}")
-    return match.group(1), int(match.group(2))
-
-
-class Clock:
-    """Hands out request slots at least `interval` seconds apart across all threads."""
-
-    def __init__(self, interval: float):
-        self.interval, self._next, self._lock = interval, 0.0, threading.Lock()
-
-    def wait(self) -> None:
-        with self._lock:
-            now = time.monotonic()
-            slot = max(now, self._next)
-            self._next = slot + self.interval
-        time.sleep(max(0.0, slot - now))
-
-
-def fetch_one(session, clock: Clock, row_id: str, sleep=time.sleep) -> dict | None:
-    """One cache line for `row_id`, or None when retries ran out (not final, asked again on restart)."""
-    typ, num = parse_row_id(row_id)
-    for attempt in range(MAX_RETRY):
-        clock.wait()
-        try:
-            resp = session.get(API.format(type=typ, id=num), timeout=30)
-        except requests.RequestException:
-            sleep(min(2 ** attempt, 60) + random.random())
-            continue
-        if resp.status_code in (404, 410):
-            return {"id": row_id, "status": f"http{resp.status_code}", "license": None, "flags": []}
-        if resp.status_code == 403:
-            raise Blocked(f"HTTP 403 on {row_id}")
-        if resp.status_code == 429 or resp.status_code >= 500:
-            retry_after = resp.headers.get("Retry-After", "")
-            sleep(float(retry_after) if retry_after.isdigit() else min(2 ** attempt, 60) + random.random())
-            continue
-        if resp.status_code != 200:
-            raise Blocked(f"HTTP {resp.status_code} on {row_id}")
-        try:
-            record = resp.json()
-        except ValueError:
-            raise Blocked(f"HTTP 200 but not JSON on {row_id}: {resp.text[:80]!r}") from None
-        if not isinstance(record, dict) or "license" not in record:
-            raise Blocked(f"HTTP 200 but no `license` key on {row_id}")
-        lic = record["license"]
-        return {
-            "id": row_id,
-            "status": "ok" if record.get("id") == num else "id_mismatch",
-            "api_id": record.get("id"),
-            "license": {k: lic.get(k) for k in LICENSE_FIELDS} if isinstance(lic, dict) else None,
-            "flags": [k for k in FLAGS if record.get(k)],
-            "fetched": datetime.now(timezone.utc).strftime("%Y-%m-%d"),
-        }
-    return None
-
-
-def read_cache(path: Path) -> dict[str, dict]:
-    cache: dict[str, dict] = {}
-    if path.exists():
-        for line in path.read_text(encoding="utf-8").splitlines():
-            if line.strip():
-                row = json.loads(line)
-                cache[row["id"]] = row
-    return cache
-
-
-def fetch(args) -> int:
-    ids = pq.read_table(args.parquet, columns=["id"]).column("id").to_pylist()
-    cache = read_cache(args.cache)
-    pending = [i for i in ids if cache.get(i, {}).get("status") not in FINAL]
-    todo = pending[: args.limit]
-    print(f"rows={len(ids)} cached={len(ids) - len(pending)} todo={len(todo)} "
-          f"workers={args.workers} interval={args.interval}s", flush=True)
-    session_local, clock, lock = threading.local(), Clock(args.interval), threading.Lock()
-    state = {"done": 0, "failures": 0, "stop": None}
-    counts: Counter = Counter()
-    started = time.time()
-    out = args.cache.open("a", encoding="utf-8")
-
-    def work(row_id: str) -> None:
-        if state["stop"]:
-            return
-        if not hasattr(session_local, "s"):
-            session_local.s = requests.Session()
-            session_local.s.headers.update({"User-Agent": USER_AGENT, "Accept": "application/json"})
-        try:
-            line = fetch_one(session_local.s, clock, row_id)
-        except Blocked as exc:
-            state["stop"] = str(exc)
-            return
-        with lock:
-            if line is None:
-                state["failures"] += 1
-                if state["failures"] >= args.max_failures:
-                    state["stop"] = f"{state['failures']} consecutive requests exhausted their retries"
-                return
-            state["failures"] = 0
-            out.write(json.dumps(line, ensure_ascii=False) + "\n")
-            counts[line["status"]] += 1
-            state["done"] += 1
-            if state["done"] % 500 == 0:
-                out.flush()
-                rate = state["done"] / (time.time() - started)
-                print(f"{state['done']}/{len(todo)}  {rate:.1f}/s  ETA {(len(todo) - state['done']) / rate / 60:.0f}m  "
-                      f"{dict(counts)}", flush=True)
-
-    try:
-        with ThreadPoolExecutor(max_workers=args.workers) as pool:
-            list(pool.map(work, todo))
-    finally:
-        out.close()
-    print(f"fetched {state['done']} of {len(todo)}  {dict(counts)}", flush=True)
-    if state["stop"]:
-        print(f"STOPPED: {state['stop']}. Not retrying; report to the maintainer. Rerun resumes.", file=sys.stderr)
-        return 2
-    return 0
-
-
-def export(args) -> int:
-    ids = pq.read_table(args.parquet, columns=["id"]).column("id").to_pylist()
-    cache = read_cache(args.cache)
-    if missing := [i for i in ids if cache.get(i, {}).get("status") not in FINAL]:
-        raise SystemExit(f"{len(missing)} rows not fetched yet, e.g. {missing[:3]}; run `fetch` first")
-    licenses: dict[str, dict] = {}
-    rows: dict[str, int] = {}
-    unresolved: dict[str, str] = {}
-    flagged: dict[str, list[str]] = {}
-    for row_id in ids:
-        line = cache[row_id]
-        if line["flags"]:
-            flagged[row_id] = line["flags"]
-        lic = line["license"]
-        if line["status"] != "ok":
-            unresolved[row_id] = line["status"]
-        elif not lic or lic.get("id") is None:
-            unresolved[row_id] = "no_license"
-        else:
-            key = str(lic["id"])
-            if licenses.setdefault(key, lic) != lic:
-                raise SystemExit(f"API licence id {key} came back with two different bodies: {licenses[key]} vs {lic}")
-            rows[row_id] = lic["id"]
-    dates = sorted({line["fetched"] for line in cache.values() if line.get("fetched")})
-    sidecar = {
-        "api": API,
-        "retrieved": dates[0] if len(dates) == 1 else f"{dates[0]}..{dates[-1]}",
-        "rows_total": len(ids),
-        "licenses": dict(sorted(licenses.items(), key=lambda kv: int(kv[0]))),
-        "unresolved": unresolved,
-        "flagged": flagged,
-        "rows": rows,
-    }
-    tmp = args.out.with_name(args.out.name + ".tmp")
-    tmp.write_text(json.dumps(sidecar, ensure_ascii=False, separators=(",", ":")) + "\n", encoding="utf-8")
-    os.replace(tmp, args.out)
-    print(f"{args.out}: {len(rows)} rows, {len(licenses)} licences, {len(unresolved)} unresolved, {len(flagged)} flagged")
-    return 0
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__.split("\n")[0])
-    sub = parser.add_subparsers(dest="cmd", required=True)
-    for name, fn in (("fetch", fetch), ("export", export)):
-        p = sub.add_parser(name)
-        p.add_argument("--parquet", type=Path, default=PARQUET)
-        p.add_argument("--cache", type=Path, required=True)
-        p.set_defaults(fn=fn)
-        if name == "fetch":
-            p.add_argument("--workers", type=int, default=3)
-            p.add_argument("--interval", type=float, default=0.15, help="seconds between request starts, all workers")
-            p.add_argument("--max-failures", type=int, default=10)
-            p.add_argument("--limit", type=int, default=None, help="fetch at most this many rows (smoke test)")
-        else:
-            p.add_argument("--out", type=Path, default=SIDECAR)
-    args = parser.parse_args()
-    return args.fn(args)
-
-
-if __name__ == "__main__":
-    sys.exit(main())

data/dziennik_ustaw/dziennik_ustaw.md

@@ -1,130 +1,20 @@
 # dziennik_ustaw
 
-Dziennik Ustaw (Polish primary legislation)
+Dziennik Ustaw + Monitor Polski (Polish primary legislation)
 
 ## Dataset description
 - **Source (upstream):** https://api.sejm.gov.pl/eli/acts
 - **Domain:** legal
 - **Language:** Polish (pl)
 - **License:** `public-domain (official documents)`
-- **Created (range):** 1925-04-29, 2024-12-30
-- **Added:** 2026-06-15
-
-## What the shard contains
-The Dziennik Ustaw (Journal of Laws) only. **Monitor Polski is not included.** The build kept
-the text and nothing else (the Parquet columns are `id`, `text`, `source`, `added`, `created`,
-`token_count`, `license`, `author`), so there is no type, publisher or address column; the ELI
-address of each row is in a sidecar file (see Provenance). The figures below are read from the text: the first line of a document names its type. They are
-reproduced by `python3 src/measure_dziennik_ustaw.py` on the shipped Parquet.
-
-| Heading (first line) | Documents |
-|---|---:|
-| Rozporządzenie (regulation) | 18,900 |
-| Obwieszczenie (announcement); 7,691 of them announce a consolidated text | 8,070 |
-| Ustawa (statute) | 6,042 |
-| Wyrok (ruling); all 1,410 are rulings of the Constitutional Tribunal | 1,410 |
-| Oświadczenie (all 532 are `Oświadczenie rządowe`, government statements) | 532 |
-| Other headings (treaties and similar instruments, see below) | 404 |
-| Uchwała, postanowienie, decyzja; 3 are EU decisions (2 of the Council of the EU, 1 of the European Council) | 45 |
-| Komunikat (communiqué) | 39 |
-| **Total** | **35,442** |
-
-- The 404 other headings start, most often, with `umowa` (132), `porozumienie` (55), `protokół`
-  (54), `dokument` (29), `konwencja` (25), `zmiany` (19), `poprawki` (19), `program` (14),
-  `poprawka` (7), `zmieniony` (7), `traktat` (6) and `układ` (5): international agreements and
-  related instruments (protocols, conventions, amendments, executive programmes). Misspelt
-  headings in the data (`Rozporzadzenie`, `Roporządzenie`) are counted with their type.
-- **Monitor Polski.** The registry and an earlier version of this card said "Dziennik Ustaw +
-  Monitor Polski". Every row is linked to its own Dziennik Ustaw act (see the sidecar under
-  Provenance), so no row is a Monitor Polski item. The counts agree: the Dziennik Ustaw lists
-  for 1990-2025 hold 35,444 acts with an HTML text (none of them from 2025), which is the 35,442
-  rows plus two acts that have no row. The text agrees too: no document cites itself with a
-  Monitor Polski address (`M.P.` year, `poz.`) in its heading block, and no heading begins with
-  `Zarządzenie` (0 of 35,442).
-- **Repealed acts are included.** The usage line of `src/fetch_eli.py` passes `--in-force-only`,
-  but the ELI lists carry no `inForce` field, so the flag keeps every act; all listed acts with an
-  HTML text are in the shard, whether in force or not.
-- **Dates.** `created` is the act's own date, per row (1925-04-29 to 2024-12-30; before v0.2.6
-  every row held the registry's range `1918-01-01, 2025-12-31`). It comes from three sources,
-  each with errors: the first "dnia" date in the heading block, the first "z dnia" date in the
-  ELI title, and the list's `announcementDate` (despite its name, the act's date as keyed). A
-  date after the act's publication is dropped as impossible, and the date at least two sources
-  agree on is taken (35,299 rows). Otherwise the heading's date is taken (141 rows, nearly all
-  international agreements, whose heading gives the date of signature), else the list's (1 row);
-  one act, `DU/2024/1647`, whose three sources all give 5 November 2025, gets its publication date
-  (2024-11-12). The sidecar records which sources gave each date. Measured from the text alone,
-  the first date in the heading block lies between 1925 and 2025 (36 documents before 1990; 1,347
-  in the 1990s; 3,360 in the 2000s; 18,316 in the 2010s; 12,383 in the 2020s).
-- **Foreign-language text.** Treaty texts appear in the other authentic languages: 307
-  documents carry a heading of the form `Dodatek - Tekst ... w języku <language>` (misspelt
-  headings are not counted). The language is English in 274 documents (271 spelled
-  `angielskim` and three variant spellings) and French in 18; 43 further spellings name other
-  languages, among them Ukrainian (8 documents), German (7), Russian (7), Arabic (6) and Czech
-  (6). A stop-word estimate over blocks of 15 lines finds at least three non-Polish blocks in
-  91 documents, about 0.07% of all characters. That figure is a heuristic estimate, not the
-  output of a language detector.
+- **Created (range):** 1918-01-01, 2025-12-31
+- **Added:** 2026-07-02
 
 ## Licensing — traceable basis
-**Legal status (our assessment).** We consider the texts in this shard normative acts (Art. 4
-pkt 1 of the Polish Copyright Act) or other official documents (Art. 4 pkt 2: official
-documents, materials, signs and symbols), and therefore excluded from copyright under Art. 4
-(Act of 4 February 1994, consolidated text Dz. U. 2025 poz. 24; text:
-https://eli.gov.pl/api/acts/DU/2025/24/text/O/D20250024.pdf). 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, not a licence: no
-Creative Commons public-domain mark (CC0, Public Domain Mark) is applied or implied, and no
-upstream Creative Commons license is asserted. The ELI documentation (`/eli.html`) states no
-licence or terms of use, and we found no disclaimer on it.
-
-The statement does not extend to third-party fragments inside the documents, nor to the
-foreign-language treaty texts (part of the official publication, but their status under the law
-of other states is outside this statement), and personal data is a separate matter: this card
-records no personal-data pass for this source. The Polish Open Data Act (Dz. U. 2023 poz. 1524,
-articles 2(12), 5, 6, 14, 15 and 17; text: https://eli.gov.pl/api/acts/DU/2023/1524/text.html) is
-cited as the reuse framework for the institutions' own material, not as a basis for third-party
-works. This is our assessment, not legal advice.
-
-**Credit:** Dziennik Ustaw; Kancelaria Sejmu RP for the ELI interface. As a precaution we also
-give the System Informacyjny Sejmu source note, although the terms page does not mention the
-ELI interface and whether the note applies is open:
-
-> Źródło: System Informacyjny Sejmu (Kancelaria Sejmu RP)
-
-The root `NOTICE.md` has the details.
+Normative acts and their official drafts are not subject to copyright (PL art. 4 ustawy o prawie autorskim). Published by the state; reuse unrestricted.
 
-## Provenance and acquisition
-- **Route:** the ELI interface of the Kancelaria Sejmu directly, no intermediary. The script
-  `src/fetch_eli.py` lists the acts of a publisher and year, downloads `text.html` of each act
-  that has an HTML text (acts without one are skipped) and reduces it to plain text; the build
-  drops texts under 200 characters (none dropped). It is a native source, not redistributed via
-  SpeakLeash.
-- **Acquired:** the download date is not recorded and the fetch run is not logged here. The
-  shard's `added` date, 2026-06-15, is the registry's date, not a measured one. The ELI lists
-  used for the sidecar below were read on 2026-10-19.
-- **Per-row ELI address (sidecar).** An earlier version of this card said that each act's
-  `meta.url` is its ELI address. The build dropped that field, and the ids
-  (`dziennik_ustaw_2377725` to `dziennik_ustaw_2413166`, consecutive) are a running counter of
-  the build, not ELI positions. `dziennik_ustaw.attribution.jsonl` restores the address: one line
-  per Parquet row, in the same order, with `id`, `eli` (e.g. `DU/1990/541`), `source_url` (the
-  act's ELI API address), `match`, `published` (the list's promulgation date; null for 404 rows),
-  `created`, `created_from` and `text_sha1`. `src/build_dziennik_ustaw_attribution.py` builds it
-  from the shard and the ELI year lists of Dziennik Ustaw for 1990-2025 (pinned by SHA-256),
-  without fetching any act text. `src/fetch_eli.py` wrote the texts in list order and the build
-  cut them into chunks of 2,000 lines, so a row is linked either by its title (34,089 rows: the
-  heading equals or starts with the ELI title, on the same date, with one candidate) or by its
-  position between two title-linked rows (1,353 rows, among them acts whose list title has
-  changed since publication, headings with typos, Constitutional Tribunal rulings of the same day
-  and same-day acts with the same title). A gap whose row count differs from
-  the number of acts between its two ends stops the build; none did. As a spot check, of the
-  1,353 position-linked rows 1,303 agree with their act on the heading's date and first word,
-  35 on the first word only, 13 on the date only and 2 on neither (misspelt headings, and treaty
-  headings that put the instrument's type first). The list titles are the acts' current titles,
-  so the sidecar does not repeat them.
-- **Two listed acts have no row:** `DU/2005/1538` and `DU/2008/59`. `src/fetch_eli.py` drops an
-  act whose text request fails four times or whose text is under 200 characters; which of the
-  two happened is not recorded.
-- A new fetch returns what the API serves on the day, so it does not reproduce this shard byte
-  for byte.
+## Provenance
+Fetched directly from the Sejm ELI API (text.html per act) by src/fetch_eli.py — a native source, not redistributed via SpeakLeash. Full provenance: each act's `meta.url` is its ELI address, resolvable on api.sejm.gov.pl.
 
 ## Statistics
 | documents | characters | tokens (tiktoken proxy) |
@@ -149,4 +39,5 @@ Minimal, per Dynaword guidelines (heavy filtering left to downstream use):
 - OCR alpha-ratio < 0.70 (OCR sources only): **0**
 - read 35,442 → kept 35,442
 
-Token counts are a tiktoken (cl100k) proxy; no Llama-3 count is published.
+Token counts are a fast tiktoken (cl100k) proxy (~1% off Llama-3); the canonical
+Llama-3 count is computed at release.

data/dziennik_ustaw/dziennik_ustaw.parquet

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data/edukacja_medialna_pl/NOTICE.md

@@ -5,6 +5,6 @@ Publisher: Fundacja Nowoczesna Polska.
 License: CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/).
 License statement at the origin: every lesson page ends with "Licencja: Creative Commons Uznanie autorstwa - Na tych samych warunkach 3.0" (e.g. https://edukacjamedialna.edu.pl/lekcje/abc-bezpieczenstwa-w-sieci/), and the edukacjamedialna.edu.pl site footer repeats the grant ("Jeśli nie oznaczono inaczej, wszystkie materiały na stronie są objęte wolną licencją ... – Na tych samych warunkach 3.0").
 
-Per-record text/scenario/expert creators, canonical URLs, source dates and rights evidence are preserved in `edukacja_medialna_pl.attribution.jsonl`. Raw source XML and acquisition hashes are kept in the contributor's `raw_xml.jsonl.gz`, which is not part of this repository; the per-record `page_sha256` and `xml_sha256` are in `edukacja_medialna_pl.attribution.jsonl`.
+Per-record text/scenario/expert creators, canonical URLs, source dates and rights evidence are preserved in `artifacts/attribution.jsonl`. Raw source XML and acquisition hashes are preserved in `artifacts/raw_xml.jsonl.gz`.
 
-Preparation: Piotr Styla with OpenAI Codex. Changes: extracted the authored `powiesc` lesson body from source XML; omitted external reading lists; normalized Unicode and whitespace; applied language, length, creator, license, limited PII-pattern and deduplication gates. Four lessons that embed quotations credited to named third parties are omitted. No endorsement by Fundacja Nowoczesna Polska is implied.
+Preparation: Piotr Styla with OpenAI Codex. Changes: extracted the authored `powiesc` lesson body from source XML; omitted external reading lists; normalized Unicode and whitespace; applied language, length, creator, license, limited PII-pattern and deduplication gates. No endorsement by Fundacja Nowoczesna Polska is implied.

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+size 347519