edukacja_medialna_pl: drop 4 lessons with embedded third-party quotations (252 -> 248)

.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
@@ -309,11 +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`.
+- `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

@@ -2,122 +2,64 @@
 
 ## Unreleased (on main)
 
-On main but in no release yet (`release: None` in `src/sources.py`): 2 sources,
-25,957 documents / 28,307,638 cl100k-proxy tokens.
-
-- `sejm_interpellations` by Paweł Puzio: 25,950 documents / 28,180,895 tokens
-  (Hub PR #24). It quotes letters from the public, some with health details,
-  and waits for the NERGAL personal-data pass; planned for v0.2.7.
-- `kultura_bez_barier_pl` by Piotr Styła: 7 documents / 126,743 tokens (Hub PR
-  #27). It waits for an answer on the scope of its licence.
-
-Release plan: v0.2.7 follows the NERGAL personal-data pass, which runs on every
-source. `uzp_orzeczenia_pl` and any re-admission of `samorzad_gov_pl` or
-`1000_novels` wait for v0.2.8 at the earliest.
-
-## v0.2.6 (2026-10-22)
-
-27 sources, 3,394,876 documents / 7,036,938,603 cl100k-proxy tokens. v0.2.6
-ships before the NERGAL personal-data pass: only each source's own filters
-apply (see its datasheet), and the pass runs on every source before v0.2.7.
-`sejm_interpellations` and `kultura_bez_barier_pl` are on main but not in this
-release (see Unreleased). The README's "Changes since v0.2.5" section at the
-`v0.2.6` tag has the per-source details.
-
-Added: 12 sources, 1,097,821 documents / 637,130,408 tokens.
-
-- `plwiki_user_talk` by Piotr Styła: 380,295 documents / 381,015,336 tokens (Hub PR #40).
-- `sejm_committee_transcripts` by Piotr Styła: 613,722 documents / 112,003,155 tokens (Hub PR #37).
-- `plwiki_talk` by Piotr Styła: 43,054 documents / 55,564,235 tokens (Hub PR #36).
-- `ted_pl` by Piotr Styła: 14,210 documents / 39,580,791 tokens (Hub PR #32;
-  rebuilt on 2026-10-22 to keep only notices whose TED buyer legal type is a
-  public authority, a body governed by public law or a public undertaking,
-  removing 1,320, and to remove 14 notices that reproduce third-party text:
-  5 sharing a textbook passage, then 9 found by a model screen of every notice,
-  two review passes per flag and a same-template search).
-- `sejm_api_2011_2022` by Piotr Styła: 33,930 documents / 26,868,517 tokens (Hub PR #18).
-- `nonsa` by Piotr Styła: 11,692 documents / 15,439,683 tokens (Hub PR #41).
-- `studia_bas` by gzawadzki (Hub PR #19, landed by Piotr Styła): 112 documents / 2,256,009 tokens (Hub PR #44).
+### 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
@@ -128,115 +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.
-
-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 are unchanged. The ontology manifests (`target_revision`,
-  `VALIDATED_AGAINST`, `payload_uri`), the findings and the audit logs keep
-  such ids as records, as do the two `src/licence_basis_*.py` scripts, whose
-  bytes the manifests pin. The other scripts and datasheets now restore their
-  inputs from a release tag or `main`; where the input was only in main's
-  history, it predates the October 2026 rights audit and is no longer
-  published, and the pins record which files a rerun needs.
+  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 holds 15 since 2026-10-21; see
-  v0.2.6): `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

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

PAPER.md

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

README.md

@@ -11,33 +11,27 @@ 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)** · 29 sources · 3,420,833 documents ·
-> **7.07B tokens**: the 27 v0.2.6 sources plus `sejm_interpellations` and
-> `kultura_bez_barier_pl` ([On main, not in v0.2.6](#on-main-not-in-v026)).
-> Cite the `v0.2.6` tag, not main.
+> **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
@@ -49,33 +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. On 2026-10-21 each tag up to
-`v0.2.5` was re-pointed to its release commit minus the sources withdrawn from
-main since, so `revision="v0.2.x"` now loads:
-
-| tag | documents | tokens | sources | removed from the tag |
-|---|---:|---:|---:|---|
-| `v0.2.5` | 2,026,538 | 6.19B | 15 | `european_hplt_v3_pl`, `wikiquote`, `wikisource`, `1000_novels`, `samorzad_gov_pl` |
-| `v0.2.4` | 1,979,087 | 6.15B | 13 | `european_hplt_v3_pl`, `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.3` | 1,937,016 | 5.47B | 12 | `european_hplt_v3_pl`, `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.2` | 1,916,595 | 5.47B | 10 | `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.1` | 1,828,405 | 5.39B | 9 | `wikiquote`, `wikisource`, `1000_novels` |
-| `v0.2.0` | 1,828,405 | 5.39B | 9 | `wikiquote`, `wikisource` |
-
-Every other file in a tag is unchanged, so its README and stats files still
-describe the release as published; each tag's message records its previous
-target. The withdrawn sources' data files were then deleted from the
-repository's storage, so downloading one at any older revision fails with
-HTTP 403.
-
 ![Stable dataset size by version](artifacts/dataset_size_by_version.png)
 
 ### Development and validation artifacts
@@ -87,28 +61,7 @@ HTTP 403.
 
 ### Version details
 
-#### v0.2.6 — current stable
-
-**27 sources, 3,394,876 documents / 7,036,938,603 cl100k-proxy tokens:**
-
-- adds 12 sources, 1,097,821 documents / 637,130,408 tokens:
-  `plwiki_user_talk`, `sejm_committee_transcripts`, `plwiki_talk`, `ted_pl`,
-  `sejm_api_2011_2022`, `nonsa`, `studia_bas`, `wiadomosci_statystyczne_pl`,
-  `rock_pollub_pl`, `edukacja_medialna_pl`, `open_agh_chemistry_pl` and
-  `open_icm_pl`;
-- keeps 15 of the 20 v0.2.5 sources, 2,297,055 documents / 6,399,808,195
-  tokens, each relabelled, filtered or rebuilt
-  ([Changes since v0.2.5](#changes-since-v025));
-- withdraws five v0.2.5 sources: `european_hplt_v3_pl`, `wikisource`,
-  `1000_novels`, `samorzad_gov_pl` and `wikiquote`
-  ([Withdrawn since v0.2.5](#withdrawn-since-v025));
-- leaves out `sejm_interpellations` and `kultura_bez_barier_pl`, which are on
-  main ([On main, not in v0.2.6](#on-main-not-in-v026)).
-
-v0.2.6 ships before the NERGAL personal-data pass. Only each source's own
-filters apply (see its datasheet); the pass runs on every source before v0.2.7.
-
-#### v0.2.5 — previous stable
+#### 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**:
@@ -127,8 +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 (since
-2026-10-21 the tag holds 15 of them; see the table above). 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.
 
@@ -188,16 +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`.
@@ -206,10 +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
 
@@ -221,18 +170,17 @@ Disclaimer).
 | [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` (on main, not yet released); `uzp_orzeczenia_pl`, held off main until v0.2.8; landed `studia_bas` and the `samorzad_gov_pl` v0.2 update; `build_dynaword` `preserve_id`/`preserve_created` flags. | `v0.2.5`, [PR #16](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/16); `v0.2.6`, [#18](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/18), [#25](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/25)–[#27](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/27), [#32](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/32)–[#37](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/37), [#39](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/39)–[#41](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/41), [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)–[#46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46) |
+| [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.
@@ -240,132 +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 they were removed from every earlier
-release tag ([Releases](#releases)).
-
-| source | v0.2.5 documents | v0.2.5 tokens | reason |
-|---|---:|---:|---|
-| `european_hplt_v3_pl` | 1,603,974 | 2,555.5M | Licence unverified: HPLT's CC0 covers its packaging, not the crawled pages. It will not be re-added. |
-| `wikisource` | 632,005 | 801.9M | Its single CC BY-SA 3.0 label also covered in-copyright post-war imprints that carry their own per-page licences. A rebuild from the official dump is planned for a later release. |
-| `1000_novels` | 1,000 | 60.5M | Its rights screen ([PR #49](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/49), [PR #55](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/55)) kept the public-domain texts, but no row records the edition its text follows, so a protected preface, abridgement or editor's corrections cannot be ruled out. Withdrawn on 2026-10-17 ([PR #124](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/124)). |
-| `samorzad_gov_pl` | 72,771 | 41.2M | Its CC BY-SA 4.0 is the platform operator's footer, not a grant from the 247 institutions that wrote the texts. Withdrawn on 2026-10-17 ([PR #123](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/123)). |
-| `wikiquote` | 30,363 | 31.9M | Most of its pages quote works still in copyright, and its CC BY-SA label covers only the contributors' selection. |
-
-### Changes since v0.2.5
-
-The 15 v0.2.5 sources in v0.2.6 total 2,297,055 documents / 6,399.8M tokens.
-
-- `eurlex` is relabelled `LicenseRef-EU-Reuse-Policy`: v0.2.5 labelled it
-  `CC-BY-4.0`, but the EUR-Lex notice grants CC BY 4.0 only for consolidated
-  texts and editorial content, not the acts themselves, and excludes
-  third-party material. The 92 documents carrying the IASB notice and
-  480 more found by a row review (third-party credits, UN ECE regulations,
-  European Parliament stubs) are dropped, and `eurlex.attribution.jsonl` gives
-  each row its EUR-Lex link. 242,488 documents / 2,333.0M tokens
-  ([PR #71](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/71), [PR #82](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/82), [PR #173](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/173), [PR #177](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/177)).
-- `parliamentary` was rebuilt from IPI PAN's speaker-labelled TEI dump: only
-  official speakers are kept in the sittings and exact copies are dropped. The
-  System Informacyjny Sejmu credit is given for its Sejm material as a
-  precaution. 329,863 documents / 1,504.1M tokens
-  ([PR #108](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/108), [PR #111](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/111)).
-- `wikipedia` was rebuilt from the official plwiki dump, replacing the SpeakLeash
-  snapshot. Each record is labelled CC BY-SA 3.0, 4.0 or both by its
-  contribution dates. The 35 pages that carry plwiki's copyright-violation notice
-  are dropped, and so are 7 pages that plwiki deleted for a copyright
-  violation. 1,171,897 → 1,468,647 documents, 707.2M → 1,226.9M tokens
-  ([PR #68](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/68), [PR #128](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/128), [PR #148](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/148)).
-- `biblioteka_nauki` keeps its text from the SpeakLeash redistribution. Each
-  record now carries the licence version and licence basis the Biblioteka Nauki
-  API gives for it. 3 records under the Public Domain Mark and 4,142 further
-  rows were dropped after review. 42,071 → 37,843 documents, 673.5M → 590.9M tokens
-  ([PR #62](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/62), [PR #81](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/81), [PR #186](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/186)).
-- `dziennik_ustaw` no longer claims Monitor Polski, which it never included. A
-  sidecar gives each row its ELI address, and the System Informacyjny Sejmu
-  credit is given as a precaution. Its text and counts are unchanged:
-  35,442 documents / 486.1M tokens ([PR #103](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/103), [PR #160](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/160), [PR #162](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/162)).
-- `wolne_lektury` is relabelled per document: v0.2.5 labelled every document
-  `CC-BY-SA-4.0 / Wolna Sztuka 1.3`, which is wrong. Each now carries the
-  licence its own Wolne Lektury book states (4,383 public domain, 1,467 LAL 1.3,
-  50 CC BY-SA 3.0 PL, 3.0 or 4.0), with its credits in
-  `wolne_lektury.attribution.jsonl`. 67 documents are dropped (63 eltec_pol
-  novels, 2 with no usable licence, 2 whose translation is not free), 174
-  printed in two later editors' selections are held out until the books'
-  contents are checked, and the author's and translator's notes are added at
-  the end of 459 texts.
-  5,900 documents / 91.7M tokens
-  ([PR #67](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/67), [PR #99](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/99), [PR #184](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/184), [PR #188](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/188), [PR #190](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/190), [PR #191](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/191)).
-- `govpl` drops 188 PAP reprints, 186 other third-party texts and 12,870 press
-  releases of prosecutor's offices. 88,190 → 74,946 documents, 80.7M → 68.3M tokens
-  ([PR #63](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/63), [PR #170](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/170), [PR #214](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/214)).
-- `sejm_api` cuts the "Przebieg posiedzenia" trailers, puts the 2,466
-  statements they appended into rows of their own and drops 123 rows by speakers
-  outside its allowlist. 38,812 → 39,776 documents, 36.3M → 30.6M tokens ([PR #83](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/83), [PR #158](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/158)).
-- `eltec_pol` adds author metadata and an attribution sidecar and restores the
-  chapter titles: 100 documents / 21.5M tokens ([PR #187](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/187)).
-- `wikibooks` withholds 54 pages: 51 by the rights review and 3 with
-  `{{GFDL-tekst}}`. Each record is labelled by its contribution dates and the
-  licence of imported text, and markup residue is removed. 9,112 → 9,041
-  documents, 15.6M → 15.2M tokens ([PR #127](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/127), [PR #134](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/134), [PR #139](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/139), [PR #142](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/142), [PR #147](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/147)).
-- `wikivoyage` withholds 6,330 pages: 6,326 with `{{Atrybucja}}` (text from
-  Wikitravel), 2 with `{{Import}}` and 2 by the rights review. Each record is
-  labelled by its contribution dates, and markup residue is removed.
-  13,645 → 7,312 documents, 17.1M → 14.1M tokens ([PR #125](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/125), [PR #133](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/133), [PR #138](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/138), [PR #141](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/141)).
-- `wikinews` withholds 1 page. Each record is labelled by its contribution
-  dates and the licence of imported text, and markup residue is removed.
-  24,386 → 23,572 documents, 12.1M → 11.0M tokens
-  ([PR #77](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/77), [PR #130](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/130), [PR #132](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/132), [PR #137](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/137), [PR #146](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/146)).
-- `global_voices` drops 114 posts republished from partner outlets.
-  2,040 → 1,926 documents, 3.7M → 3.5M tokens ([PR #66](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/66)).
+| [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.
 
-## On main, not in v0.2.6
-These sources are on main but not in the `v0.2.6` tag. Only the main figures at
-the top count them.
+The 17 v0.2.5 sources still on main total 2,093,026 documents / 6,276.3M tokens.
 
-| source | documents | tokens | status |
-|---|---:|---:|---|
-| `sejm_interpellations` | 25,950 | 28.2M | Quotes letters from the public, some with health details. Held for the NERGAL pass; planned for v0.2.7. |
-| `kultura_bez_barier_pl` | 7 | 0.1M | Waits for an answer on the scope of its licence. |
+## 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`).
 
-`uzp_orzeczenia_pl` is held off main until v0.2.8 (see `CHANGELOG.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
@@ -376,13 +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
@@ -403,22 +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:
 
@@ -436,178 +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
@@ -619,35 +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% |
@@ -657,51 +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% |
@@ -711,177 +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",
-        "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/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",
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-        "added": "2026-09-17",
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-        "license_counts": {
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-          "SA": 3,
-          "SN": 2,
-          "SO": 1277
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-        "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": {
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-        "characters": 1108021951,
-        "enumerated": 35694,
-        "kept": 34715,
-        "license_counts": {
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-          "SA": 3,
-          "SN": 2,
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-        "sample_count": 12,
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-        "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"
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-    {
-      "content_address": "f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5",
-      "id": "version:dataset:uzp-orzeczenia-pl-dynaword:f89fe9af0c3c97e4cc83cc70f426f77fb71304951597ebd36088cf53fa8f8bc5",
-      "object": "object:dataset:uzp-orzeczenia-pl-dynaword-slice"
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-    {
-      "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 sha256:3f044e2161c2efc73e5870febd2599f8d66ca172bbe041bd2eeb04bee2b4e3a0
+size 79186

data/1000_novels/1000_novels.dedup.tsv

@@ -0,0 +1,888 @@
+id	action	wolne_lektury_cover	eltec_pol_cover	wolne_lektury_matches	eltec_pol_matches	author	title
+1000_novels_0001	drop	0.9996	0.0042	wolne_lektury_2372186=0.9996		Edmondo De Amicis	Serce
+1000_novels_0002	drop	0.9983	0.0021	wolne_lektury_2373000=0.9983		Hans Christian Andersen	Coś
+1000_novels_0003	drop	0.9989	0.0055	wolne_lektury_2372973=0.9989		Hans Christian Andersen	Cień
+1000_novels_0004	drop	0.9818	0.0044	wolne_lektury_2372933=0.9815		Hans Christian Andersen	Calineczka
+1000_novels_0005	drop	0.9968	0.0007	wolne_lektury_2372960=0.9968		Hans Christian Andersen	Choinka
+1000_novels_0007	drop	0.9978	0.0027	wolne_lektury_2373050=0.9978		Hans Christian Andersen	Czerwone buciki
+1000_novels_0008	drop	0.9970	0.0068	wolne_lektury_2372886=0.9970		Hans Christian Andersen	Brzydkie kaczątko
+1000_novels_0009	keep	0.0104	0.0066			Hans Christian Andersen	Krzesiwo
+1000_novels_0010	drop	0.9976	0.0030	wolne_lektury_2373393=0.9976		Hans Christian Andersen	Dzwony
+1000_novels_0011	drop	0.9986	0.0052	wolne_lektury_2374886=0.9986		Hans Christian Andersen	Królowa śniegu
+1000_novels_0012	drop	0.9918	0.0048	wolne_lektury_2374861=0.9918		Hans Christian Andersen	Krasnoludek
+1000_novels_0013	keep	0.0089	0.0040			Hans Christian Andersen	Kalosze szczęścia
+1000_novels_0014	drop	0.9986	0.0025	wolne_lektury_2374146=0.9986		Hans Christian Andersen	Historia roku
+1000_novels_0015	keep	0.0103	0.0039			Hans Christian Andersen	Dzikie łabędzie
+1000_novels_0016	drop	0.9974	0.0032	wolne_lektury_2375079=0.9974		Hans Christian Andersen	Len
+1000_novels_0017	keep	0.0046	0.0009			Hans Christian Andersen	Latający kufer
+1000_novels_0018	drop	0.9983	0.0074	wolne_lektury_2374931=0.9983		Hans Christian Andersen	Kwiaty Idalki
+1000_novels_0019	keep	0.0101	0.0000			Hans Christian Andersen	Księżniczka na ziarnku grochu
+1000_novels_0021	drop	0.9977	0.0058	wolne_lektury_2376429=0.9977		Hans Christian Andersen	Pod starą wierzbą
+1000_novels_0022	keep	0.0108	0.0054			Hans Christian Andersen	Nowe szaty Cesarza
+1000_novels_0023	drop	0.9944	0.0000	wolne_lektury_2372188=0.9944		Hans Christian Andersen	Motylek
+1000_novels_0024	drop	0.9975	0.0051	wolne_lektury_2375328=0.9975		Hans Christian Andersen	Matka
+1000_novels_0025	drop	0.9954	0.0069	wolne_lektury_2375183=0.9954		Hans Christian Andersen	Listek z nieba
+1000_novels_0026	drop	0.7606	0.0007	wolne_lektury_2372960=0.7606		Hans Christian Andersen	Sosna
+1000_novels_0027	drop	0.9967	0.0059	wolne_lektury_2377163=0.9967		Hans Christian Andersen	Słowik
+1000_novels_0028	drop	0.9945	0.0055	wolne_lektury_2377134=0.9945		Hans Christian Andersen	Ślimak i róża
+1000_novels_0029	drop	0.9965	0.0047	wolne_lektury_2376907=0.9965		Hans Christian Andersen	Ropucha
+1000_novels_0030	drop	0.9970	0.0015	wolne_lektury_2376448=0.9970		Hans Christian Andersen	Polny kwiatek
+1000_novels_0031	drop	0.9984	0.0043	wolne_lektury_2377719=0.9984		Hans Christian Andersen	Towarzysz podróży
+1000_novels_0032	drop	0.9957	0.0032	wolne_lektury_2372187=0.9957		Hans Christian Andersen	Syrena
+1000_novels_0033	keep	0.0102	0.0051			Hans Christian Andersen	Świniopas
+1000_novels_0034	keep	0.0135	0.0056			Hans Christian Andersen	Stary dom
+1000_novels_0035	drop	0.9954	0.0023	wolne_lektury_2377357=0.9954		Hans Christian Andersen	Śpiewak spod strzechy
+1000_novels_0036	drop	0.9997	0.0005	wolne_lektury_2375743=0.9997		Anonymous (Nibelungenlied)	Niedola Nibelungów
+1000_novels_0037	drop	0.9365	0.0047	wolne_lektury_2372095=0.9365		Hans Christian Andersen	Z jednego gniazda
+1000_novels_0038	drop	0.9890	0.0030	wolne_lektury_2371974=0.9890		Hans Christian Andersen	Wszystko na swoim miejscu
+1000_novels_0039	drop	0.9684	0.0019	wolne_lektury_2371640=0.9684		Hans Christian Andersen	U króla Olch
+1000_novels_0040	drop	0.9997	0.0028	wolne_lektury_2372189=0.9997		Hans Christian Andersen	Tylko grajek
+1000_novels_0045	drop	0.9987	0.0009	wolne_lektury_2376274=0.9987		Anonymous (Chanson de Roland)	Pieśń o Rolandzie
+1000_novels_0046	drop	0.9969	0.0044	wolne_lektury_2376450=0.9969		Michał Bałucki	Polowanie na żonę
+1000_novels_0047	drop	0.9976	0.0035	wolne_lektury_2375059=0.9976		Michał Bałucki	Latawica
+1000_novels_0048	drop	0.9967	0.0058	wolne_lektury_2374076=0.9967		Michał Bałucki	Grześ niepiśmienny
+1000_novels_0049	drop	0.9986	0.0060	wolne_lektury_2373202=0.9986		Michał Bałucki	Doróżkarz nr 13
+1000_novels_0050	keep	0.0040	0.0023			Michał Bałucki	Album kandydatek do stanu małżeńskiego
+1000_novels_0051	drop	0.9995	0.0019	wolne_lektury_2372553=0.9995		Honoré de Balzac	Eugenia Grandet
+1000_novels_0052	drop	0.9997	0.0015	wolne_lektury_2372552=0.9997		Honoré de Balzac	Córka Ewy
+1000_novels_0053	drop	0.9977	0.0011	wolne_lektury_2372551=0.9976		Honoré de Balzac	Bank Nucingena
+1000_novels_0054	drop	0.9982	0.0033	wolne_lektury_2372030=0.9982		Michał Bałucki	Zaklęte pieniądze
+1000_novels_0055	drop	0.9986	0.0057	wolne_lektury_2376523=0.9986		Michał Bałucki	Prosto z pensyi
+1000_novels_0056	drop	0.9985	0.0012	wolne_lektury_2372557=0.9985		Honoré de Balzac	Kobieta porzucona
+1000_novels_0057	drop	0.9995	0.0017	wolne_lektury_2372556=0.9994		Honoré de Balzac	Jaszczur
+1000_novels_0058	drop	0.9947	0.0026	wolne_lektury_2372550=0.9946		Honoré de Balzac	Granatka
+1000_novels_0059	drop	0.9976	0.0022	wolne_lektury_2372555=0.9976		Honoré de Balzac	Gobseck
+1000_novels_0060	drop	0.9990	0.0023	wolne_lektury_2372554=0.9990		Honoré de Balzac	Facino Cane
+1000_novels_0061	drop	0.9954	0.0018	wolne_lektury_2372561=0.9945		Honoré de Balzac	Msza ateusza
+1000_novels_0062	drop	0.9992	0.0019	wolne_lektury_2372560=0.9991		Honoré de Balzac	Małe niedole pożycia małżeńskiego
+1000_novels_0063	drop	0.9930	0.0022	wolne_lektury_2372567=0.9930		Honoré de Balzac	Lekarz wiejski
+1000_novels_0064	drop	0.9959	0.0019	wolne_lektury_2372559=0.9959		Honoré de Balzac	Kuratela
+1000_novels_0065	keep	0.0388	0.0021			Honoré de Balzac	KOBIETA TRZYDZIESTOLETNIA
+1000_novels_0066	drop	0.0034	0.9992		eltec_pol_2455238=0.9992	Wacław Berent	Ozimina
+1000_novels_0067	drop	0.9988	0.0012	wolne_lektury_2373357=0.9988		Joseph Bédier	Dzieje Tristana i Izoldy
+1000_novels_0068	drop	0.9963	0.0019	wolne_lektury_2372568=0.9963		Honoré de Balzac	Proboszcz z Tours
+1000_novels_0070	drop	0.9994	0.0013	wolne_lektury_2372562=0.9993		Honoré de Balzac	Muza z zaścianka
+1000_novels_0071	drop	0.9984	0.0072	wolne_lektury_2372734=0.9983		Bjørnstjerne Bjørnson	Marsz weselny
+1000_novels_0073	drop	0.9991	0.0085	wolne_lektury_2372733=0.9991		Bjørnstjerne Bjørnson	Dziewczę ze Słonecznego Wzgórza
+1000_novels_0074	drop	1.0000	0.0000	wolne_lektury_2372645=1.0000		Aloysius Bertrand	Kapitan Lazare
+1000_novels_0075	drop	1.0000	0.0000	wolne_lektury_2372642=1.0000		Aloysius Bertrand	Do P. Davida, snycerza posągów
+1000_novels_0076	drop	0.9984	0.0023	wolne_lektury_2372788=0.9984		Tadeusz Boy-Żeleński	Dziewice konsystorskie
+1000_novels_0077	drop	0.9994	0.0019	wolne_lektury_2372842=0.9994		Tadeusz Boy-Żeleński	Brązownicy
+1000_novels_0079	drop	0.9945	0.0021	wolne_lektury_2373126=0.9945		Giovanni Boccaccio	Dekameron
+1000_novels_0081	drop	0.9996	0.0017	wolne_lektury_2375323=0.9996		Tadeusz Boy-Żeleński	Marysieńka Sobieska
+1000_novels_0082	drop	0.9990	0.0075	wolne_lektury_2372790=0.9990		Tadeusz Boy-Żeleński	Ludzie żywi
+1000_novels_0083	drop	1.0000	0.0033	wolne_lektury_2377192=1.0000		Tadeusz Boy-Żeleński	Kilka słów o piosence
+1000_novels_0084	drop	0.9967	0.0020	wolne_lektury_2374271=0.9967 wolne_lektury_2372108=0.0580		Tadeusz Boy-Żeleński	Jak skończyć z piekłem kobiet?
+1000_novels_0085	drop	0.9988	0.0019	wolne_lektury_2373487=0.9988		Tadeusz Boy-Żeleński	Flirt z Melpomeną
+1000_novels_0086	drop	0.9966	0.0033	wolne_lektury_2376008=0.9966		Tadeusz Boy-Żeleński	Pani Hańska
+1000_novels_0087	drop	0.9993	0.0018	wolne_lektury_2375845=0.9993 wolne_lektury_2372790=0.0510		Tadeusz Boy-Żeleński	Obrachunki fredrowskie
+1000_novels_0088	drop	0.9991	0.0020	wolne_lektury_2375843=0.9991		Tadeusz Boy-Żeleński	Obiad literacki
+1000_novels_0089	drop	0.9999	0.0016	wolne_lektury_2375697=0.9999		Tadeusz Boy-Żeleński	Nasi okupanci
+1000_novels_0090	drop	0.9991	0.0017	wolne_lektury_2372791=0.9991 wolne_lektury_2376324=0.1455		Tadeusz Boy-Żeleński	Marzenie i pysk
+1000_novels_0091	drop	0.9990	0.0015	wolne_lektury_2372108=0.9990		Tadeusz Boy-Żeleński	Zmysły… zmysły…
+1000_novels_0092	drop	0.9987	0.0024	wolne_lektury_2371960=0.9987		Tadeusz Boy-Żeleński	W Sorbonie i gdzie indziej
+1000_novels_0093	drop	0.9990	0.0019	wolne_lektury_2377149=0.9990		Tadeusz Boy-Żeleński	Słowa cienkie i grube
+1000_novels_0094	drop	1.0000	0.0015	wolne_lektury_2376324=0.9994 wolne_lektury_2372791=0.9851		Tadeusz Boy-Żeleński	Plotka o Weselu Wyspiańskiego
+1000_novels_0095	drop	0.9996	0.0025	wolne_lektury_2376189=0.9996		Tadeusz Boy-Żeleński	Piekło kobiet
+1000_novels_0096	drop	0.9999	0.0005	wolne_lektury_2372844=0.9999		Aleksander Brückner	Starożytna Litwa
+1000_novels_0097	drop	0.9999	0.0007	wolne_lektury_2375466=0.9999		Aleksander Brückner	Mitologia słowiańska
+1000_novels_0099	drop	0.9995	0.0019	wolne_lektury_2372795=0.9995		Tadeusz Boy-Żeleński	Znasz-li ten kraj?…
+1000_novels_0100	drop	0.9995	0.0059	wolne_lektury_2375229=0.9995		Frances Hodgson Burnett	Mała księżniczka
+1000_novels_0102	drop	0.9976	0.0020	wolne_lektury_2372901=0.9976		Mikhail Bulgakov	Fatalne jaja
+1000_novels_0103	drop	0.9973	0.0018	wolne_lektury_2372900=0.9973		Mikhail Bulgakov	Diaboliada
+1000_novels_0104	drop	0.9993	0.0013	wolne_lektury_2375064=0.9993		Stanisław Brzozowski	Legenda Młodej Polski
+1000_novels_0105	drop	0.9996	0.0016	wolne_lektury_2376623=0.9996		François-René de Chateaubriand	Przygody ostatniego z Abenserażów
+1000_novels_0106	drop	0.9996	0.0011	wolne_lektury_2372311=0.9996		François-René de Chateaubriand	Atala
+1000_novels_0107	drop	0.9988	0.0021	wolne_lektury_2372943=0.9988		Nicolas Chamfort	Charaktery i anegdoty
+1000_novels_0110	drop	0.9999	0.0039	wolne_lektury_2372988=0.9999		Joseph Conrad	Jądro ciemności
+1000_novels_0112	drop	0.9972	0.0055	wolne_lektury_2372987=0.9972		Joseph Conrad	Amy Foster
+1000_novels_0114	drop	0.9995	0.0022	wolne_lektury_2376744=0.9995		François-René de Chateaubriand	René
+1000_novels_0115	drop	0.9975	0.0063	wolne_lektury_2372993=0.9975		Joseph Conrad	Placówka postępu
+1000_novels_0116	drop	0.8529	0.0029	wolne_lektury_2372991=0.8528		Joseph Conrad	Murzyn z załogi „Narcyza”
+1000_novels_0117	drop	0.9996	0.0032	wolne_lektury_2372989=0.9996		Joseph Conrad	Młodość i inne opowiadania
+1000_novels_0119	keep	0.0099	0.0046			Joseph Conrad	Jutro
+1000_novels_0120	drop	0.9972	0.0049	wolne_lektury_2372225=0.9972		Anton Chekhov	Aptekarzowa
+1000_novels_0122	drop	0.9999	0.0047	wolne_lektury_2372995=0.9999		Joseph Conrad	U kresu sił
+1000_novels_0123	drop	0.9362	0.0038	wolne_lektury_2372994=0.9360		Joseph Conrad	TAJNY AGENT
+1000_novels_0124	keep	0.0076	0.0038			Joseph Conrad	SZALEŃSTWO ALMAYERA
+1000_novels_0125	drop	0.9958	0.0063	wolne_lektury_2373153=0.9958		Anton Chekhov	Długi język
+1000_novels_0126	drop	0.9961	0.0089	wolne_lektury_2373105=0.9961		Anton Chekhov	Damy
+1000_novels_0128	drop	0.9961	0.0019	wolne_lektury_2372997=0.9961		Anton Chekhov	Córa Albionu
+1000_novels_0129	drop	0.9876	0.0051	wolne_lektury_2372652=0.9862		Anton Chekhov	Bezbronna istota
+1000_novels_0130	drop	0.9954	0.0029	wolne_lektury_2375231=0.9954		Anton Chekhov	Malcy
+1000_novels_0131	drop	0.9873	0.0032	wolne_lektury_2374403=0.9873		Anton Chekhov	Kameleon
+1000_novels_0132	drop	0.9960	0.0060	wolne_lektury_2373358=0.9960		Anton Chekhov	Dzieło sztuki
+1000_novels_0133	drop	0.9953	0.0059	wolne_lektury_2373288=0.9953		Anton Chekhov	Dyrektor pod kanapą
+1000_novels_0134	drop	0.9971	0.0044	wolne_lektury_2373216=0.9971		Anton Chekhov	Dramat
+1000_novels_0136	drop	0.9954	0.0058	wolne_lektury_2375913=0.9954		Anton Chekhov	Order
+1000_novels_0138	drop	0.9918	0.0041	wolne_lektury_2375756=0.9918		Anton Chekhov	Nie udało się
+1000_novels_0141	drop	0.9964	0.0018	wolne_lektury_2376601=0.9964		Anton Chekhov	Przesolił
+1000_novels_0142	drop	0.9964	0.0082	wolne_lektury_2376486=0.9964		Anton Chekhov	Potwarz
+1000_novels_0143	drop	0.9969	0.0039	wolne_lektury_2376375=0.9969		Anton Chekhov	Podrzutek
+1000_novels_0144	drop	0.9968	0.0064	wolne_lektury_2376329=0.9968		Anton Chekhov	Po ciemku
+1000_novels_0145	drop	0.9971	0.0029	wolne_lektury_2377486=0.9971		Anton Chekhov	Szczęśliwy
+1000_novels_0146	drop	0.9973	0.0034	wolne_lektury_2377420=0.9973		Anton Chekhov	Syrena
+1000_novels_0148	drop	0.9942	0.0058	wolne_lektury_2377234=0.9942		Anton Chekhov	Śmierć urzędnika
+1000_novels_0150	drop	0.9760	0.0060	wolne_lektury_2372013=0.9760		Anton Chekhov	W złym humorze
+1000_novels_0151	drop	0.9953	0.0000	wolne_lektury_2371956=0.9953		Anton Chekhov	W razurze
+1000_novels_0152	drop	0.9634	0.0026	wolne_lektury_2371679=0.9634		Anton Chekhov	W biurze pocztowym
+1000_novels_0154	drop	0.9968	0.0048	wolne_lektury_2377578=0.9968		Anton Chekhov	Szydło w worku
+1000_novels_0156	drop	0.9966	0.0059	wolne_lektury_2371981=0.9966		Anton Chekhov	Wykrzyknik
+1000_novels_0158	drop	0.9965	0.0026	wolne_lektury_2371674=0.9965		Anton Chekhov	Wańka
+1000_novels_0159	drop	0.9961	0.0058	wolne_lektury_2372101=0.9961		Anton Chekhov	Złoczyńca
+1000_novels_0160	drop	0.9964	0.0027	wolne_lektury_2373048=0.9964		Anton Chekhov	Zemsta
+1000_novels_0161	drop	0.9967	0.0050	wolne_lektury_2372043=0.9967		Anton Chekhov	Żarcik
+1000_novels_0163	drop	0.9803	0.0016	wolne_lektury_2372023=0.9803		Anton Chekhov	Zagadkowa natura
+1000_novels_0164	drop	0.0050	0.9983		eltec_pol_2455241=0.9983	Deotyma (Jadwiga Łuszczewska)	Panienka z okienka
+1000_novels_0165	drop	0.9992	0.0021	wolne_lektury_2376755=0.9992		Daniel Defoe	Robinson Crusoe
+1000_novels_0170	drop	0.9984	0.0015	wolne_lektury_2376923=0.9984		René Descartes	Rozprawa o metodzie
+1000_novels_0171	drop	0.0099	0.9993		eltec_pol_2455242=0.9993	Deotyma (Jadwiga Łuszczewska)	Zwierciadlana zagadka
+1000_novels_0172	drop	0.8804	0.0050	wolne_lektury_2372799=0.4737 wolne_lektury_2372800=0.4069		Tadeusz Dołęga-Mostowicz	Bracia Dalcz i S-ka
+1000_novels_0173	drop	0.9993	0.0034	wolne_lektury_2374918=0.9993		Denis Diderot	Kubuś fatalista i jego pan
+1000_novels_0174	keep	0.0101	0.0035			Denis Diderot	Dwaj przyjaciele z Bourbonne
+1000_novels_0176	drop	0.9991	0.0050	wolne_lektury_2374530=0.9991		Tadeusz Dołęga-Mostowicz	Kiwony
+1000_novels_0177	drop	0.0107	0.9974		eltec_pol_2455246=0.9974	Tadeusz Dołęga-Mostowicz	Kariera Nikodema Dyzmy
+1000_novels_0178	keep	0.0115	0.0067			Tadeusz Dołęga-Mostowicz	Ich dziecko
+1000_novels_0179	drop	0.9994	0.0039	wolne_lektury_2373218=0.9994		Tadeusz Dołęga-Mostowicz	Dr. Murek zredukowany
+1000_novels_0180	keep	0.0096	0.0046			Tadeusz Dołęga-Mostowicz	Wysokie Progi
+1000_novels_0181	keep	0.0097	0.0046			Tadeusz Dołęga-Mostowicz	Trzecia płeć
+1000_novels_0182	drop	0.9993	0.0059	wolne_lektury_2377407=0.9993		Tadeusz Dołęga-Mostowicz	Świat pani Malinowskiej
+1000_novels_0183	drop	0.9996	0.0065	wolne_lektury_2376518=0.9996		Tadeusz Dołęga-Mostowicz	Profesor Wilczur
+1000_novels_0184	drop	0.0062	0.9982		eltec_pol_2455249=0.9982	Antonina Domańska	Historia żółtej ciżemki
+1000_novels_0185	drop	0.9994	0.0030	wolne_lektury_2373189=0.9994		Antonina Domańska	Hanusia
+1000_novels_0186	drop	0.9861	0.0020	wolne_lektury_2373188=0.9861		Antonina Domańska	DZWONY
+1000_novels_0187	drop	0.0105	0.9981		eltec_pol_2455248=0.9981	Tadeusz Dołęga-Mostowicz	Znachor
+1000_novels_0188	drop	0.9975	0.0053	wolne_lektury_2373191=0.9975		Antonina Domańska	Trzaska i Zbroja
+1000_novels_0189	drop	0.0074	0.9979		eltec_pol_2455251=0.9979	Antonina Domańska	Paziowie
+1000_novels_0190	drop	0.0056	0.9976		eltec_pol_2455250=0.9976	Antonina Domańska	Krysia bezimienna
+1000_novels_0191	drop	0.9982	0.0036	wolne_lektury_2373190=0.9982		Antonina Domańska	Królewska niedola
+1000_novels_0196	keep	0.0061	0.0033			Adolf Dygasiński	Zając
+1000_novels_0197	drop	0.0051	0.9892		eltec_pol_2455254=0.9892	Adolf Dygasiński	WILK, PSY I LUDZIE
+1000_novels_0198	keep	0.0039	0.0024			Adolf Dygasiński	W puszczy
+1000_novels_0199	drop	0.0065	0.9504		eltec_pol_2455252=0.9503	Adolf Dygasiński	As
+1000_novels_0200	drop	0.9999	0.0020	wolne_lektury_2375313=0.9999		Anatole France	Manekin trzcinowy
+1000_novels_0201	drop	0.9996	0.0030	wolne_lektury_2374915=0.9996		Madame de La Fayette	Księżna De Clèves
+1000_novels_0202	keep	0.0032	0.0022			Julian Ejsmond	W puszczy
+1000_novels_0203	keep	0.0027	0.0011			Julian Ejsmond	AKADEMIK SMORGOŃSKI
+1000_novels_0204	drop	0.9996	0.0046	wolne_lektury_2374429=0.9996		Louis Gallet	Kapitan Czart. Przygody Cyrana de Bergerac
+1000_novels_0205	drop	1.0000	0.0004	wolne_lektury_2375897=1.0000		Andrzej Frycz Modrzewski	O poprawie Rzeczypospolitej
+1000_novels_0206	drop	0.9995	0.0023	wolne_lektury_2371692=0.9995		Anatole France	W cieniu wiązów
+1000_novels_0207	drop	0.9996	0.0019	wolne_lektury_2376437=0.9996		Anatole France	Poglądy księdza Hieronima Coignarda
+1000_novels_0208	drop	0.9984	0.0005	wolne_lektury_2373926=0.9984		Johann Wolfgang von Goethe	Herman i Dorota
+1000_novels_0209	drop	0.9995	0.0039	wolne_lektury_2372974=0.9995		Johann Wolfgang von Goethe	Cierpienia młodego Wertera
+1000_novels_0210	drop	0.9999	0.0011	wolne_lektury_2373912=0.9999		Zygmunt Gloger	Dolinami rzek
+1000_novels_0211	drop	0.9998	0.0038	wolne_lektury_2375473=0.9998		Karl Gjellerup	Młyn na wzgórzu
+1000_novels_0212	drop	0.9987	0.0029	wolne_lektury_2371961=0.9987		Wiktor Gomulicki	Wspomnienia niebieskiego mundurka
+1000_novels_0213	drop	0.9998	0.0028	wolne_lektury_2373008=0.9998		Wiktor Gomulicki	Cudna mieszczka
+1000_novels_0214	drop	0.9992	0.0031	wolne_lektury_2372941=0.9992		Wiktor Gomulicki	CHAŁAT
+1000_novels_0217	drop	0.9985	0.0024	wolne_lektury_2374890=0.9985		Seweryn Goszczyński	Król zamczyska
+1000_novels_0218	drop	0.9467	0.0000	wolne_lektury_2372033=0.9467		Seweryn Goszczyński	Kilka słów o Ukrainie i rzezi humańskiej
+1000_novels_0220	drop	0.9990	0.0021	wolne_lektury_2373942=0.9990		Stefan Grabiński	Czad
+1000_novels_0222	drop	0.9691	0.0022	wolne_lektury_2373940=0.9691		Stefan Grabiński	Błędny pociag
+1000_novels_0223	drop	0.9606	0.0022	wolne_lektury_2373949=0.9606		Stefan Grabiński	Biały Wyrak
+1000_novels_0224	keep	0.0082	0.0032			Stefan Grabiński	Engramy Szatery
+1000_novels_0225	drop	1.0000	0.0010	wolne_lektury_2373944=1.0000		Stefan Grabiński	Dziedzina
+1000_novels_0226	drop	0.8801	0.0035	wolne_lektury_2373943=0.8791		Stefan Grabiński	Demon Ruchu
+1000_novels_0227	drop	0.9523	0.0052	wolne_lektury_2373950=0.9523		Stefan Grabiński	Czerwona Magda
+1000_novels_0228	drop	0.8830	0.0003	wolne_lektury_2373981=0.8830		Stefan Grabiński	KLĄTWA
+1000_novels_0229	drop	0.9845	0.0047	wolne_lektury_2373947=0.9845		Stefan Grabiński	Głucha przestrzeń
+1000_novels_0230	drop	0.7935	0.0021	wolne_lektury_2373951=0.7935		Stefan Grabiński	Gebrowie
+1000_novels_0231	drop	0.9648	0.0039	wolne_lektury_2373946=0.9648		Stefan Grabiński	Fałszywy alarm
+1000_novels_0232	drop	0.7798	0.0022	wolne_lektury_2373952=0.7792		Stefan Grabiński	Muzeum Dusz Czyśćcowych
+1000_novels_0233	drop	0.8884	0.0042	wolne_lektury_2373958=0.8884		Stefan Grabiński	Maszynista Grot
+1000_novels_0234	keep	0.0045	0.0040			Stefan Grabiński	KRUK
+1000_novels_0235	drop	0.9663	0.0042	wolne_lektury_2373964=0.9663		Stefan Grabiński	Kochanka Szamoty
+1000_novels_0236	keep	0.0048	0.0020			Stefan Grabiński	OSADA DYMÓW
+1000_novels_0237	keep	0.0031	0.0006			Stefan Grabiński	NOCLEG
+1000_novels_0238	drop	0.0133	0.9993		eltec_pol_2455258=0.9993	Stefan Grabiński	Namiętność
+1000_novels_0239	keep	0.0043	0.0026			Stefan Grabiński	NA WZGÓRZU RÓŻ
+1000_novels_0240	drop	0.9005	0.0017	wolne_lektury_2373982=0.9005		Stefan Grabiński	PODZWONNE
+1000_novels_0241	drop	1.0000	0.0037	wolne_lektury_2373961=1.0000		Stefan Grabiński	Po stycznej
+1000_novels_0242	drop	0.8674	0.0053	wolne_lektury_2373954=0.8674		Stefan Grabiński	Płomienne Gody
+1000_novels_0243	drop	0.8836	0.0017	wolne_lektury_2373953=0.8836		Stefan Grabiński	Pirotechnik
+1000_novels_0244	drop	0.9953	0.0037	wolne_lektury_2373960=0.9953		Stefan Grabiński	Projekcje
+1000_novels_0245	drop	0.8577	0.0050	wolne_lektury_2373970=0.8577		Stefan Grabiński	PROBLEMAT CZELAWY
+1000_novels_0246	drop	0.7891	0.0025	wolne_lektury_2373955=0.7884		Stefan Grabiński	Pożarowisko
+1000_novels_0247	drop	0.9022	0.0008	wolne_lektury_2373980=0.9022		Stefan Grabiński	POMSTA ZIEMI
+1000_novels_0248	drop	1.0000	0.0024	wolne_lektury_2373972=1.0000		Stefan Grabiński	Saturnin Sektor
+1000_novels_0249	drop	0.0091	0.9938		eltec_pol_2455259=0.9938	Stefan Grabiński	Salamandra
+1000_novels_0250	drop	0.8826	0.0032	wolne_lektury_2373983=0.8826		Stefan Grabiński	PUSZCZYK
+1000_novels_0251	drop	0.9987	0.0067	wolne_lektury_2373971=0.9987		Stefan Grabiński	Przypadek
+1000_novels_0252	drop	0.8651	0.0059	wolne_lektury_2373978=0.8641		Stefan Grabiński	Ultima Thule
+1000_novels_0253	drop	1.0000	0.0047	wolne_lektury_2373977=1.0000		Stefan Grabiński	Szary pokój
+1000_novels_0254	drop	0.8281	0.0053	wolne_lektury_2373984=0.8276		Stefan Grabiński	SZALONA ZAGRODA
+1000_novels_0255	drop	0.6721	0.0049	wolne_lektury_2373967=0.6716		Stefan Grabiński	Spojrzenie
+1000_novels_0256	drop	0.7357	0.0049	wolne_lektury_2373956=0.7347		Stefan Grabiński	Zemsta żywiołaków
+1000_novels_0257	drop	0.8278	0.0025	wolne_lektury_2373985=0.8274		Stefan Grabiński	WAMPIR
+1000_novels_0258	drop	1.0000	0.0044	wolne_lektury_2373962=1.0000		Stefan Grabiński	W willi nad morzem
+1000_novels_0259	drop	0.9565	0.0036	wolne_lektury_2373968=0.9565		Stefan Grabiński	W domu Sary
+1000_novels_0260	drop	0.9976	0.0018	wolne_lektury_2372655=0.9976		Jacob and Wilhelm Grimm	Białośnieżka i Różanka
+1000_novels_0261	keep	0.0064	0.0029			Stefan Grabiński	ZNAK
+1000_novels_0262	drop	0.8947	0.0000	wolne_lektury_2373957=0.8947		Stefan Grabiński	Zielone Świątki
+1000_novels_0263	drop	0.8637	0.0038	wolne_lektury_2373963=0.8637		Stefan Grabiński	ZEZ
+1000_novels_0264	drop	0.9845	0.0058	wolne_lektury_2373388=0.9845		Jacob and Wilhelm Grimm	Dziewczynka i lalka
+1000_novels_0265	drop	0.9969	0.0054	wolne_lektury_2373258=0.9969		Jacob and Wilhelm Grimm	Duch we flaszce
+1000_novels_0266	drop	0.9941	0.0022	wolne_lektury_2372946=0.9941		Jacob and Wilhelm Grimm	Chata w lesie
+1000_novels_0267	drop	0.9964	0.0045	wolne_lektury_2372656=0.9964		Jacob and Wilhelm Grimm	Biedny młynarczyk i kotek
+1000_novels_0268	drop	0.9905	0.0071	wolne_lektury_2374875=0.9905		Jacob and Wilhelm Grimm	Król Drozdobrody
+1000_novels_0269	drop	0.9964	0.0036	wolne_lektury_2374889=0.9964		Jacob and Wilhelm Grimm	Król żab
+1000_novels_0270	drop	0.9974	0.0020	wolne_lektury_2374673=0.9974		Jacob and Wilhelm Grimm	Kopciuszek
+1000_novels_0271	drop	0.9900	0.0037	wolne_lektury_2374356=0.9900		Jacob and Wilhelm Grimm	Jednooczka, Dwuoczka, Trzyoczka
+1000_novels_0272	drop	0.9944	0.0000	wolne_lektury_2375531=0.9944		Jacob and Wilhelm Grimm	Mysikrólik i niedźwiedź
+1000_novels_0273	drop	0.9918	0.0143	wolne_lektury_2375232=0.9918		Jacob and Wilhelm Grimm	Mali czarodzieje
+1000_novels_0276	drop	0.9953	0.0012	wolne_lektury_2376931=0.9953		Jacob and Wilhelm Grimm	Rupiec Kopeć
+1000_novels_0277	drop	0.9856	0.0000	wolne_lektury_2376203=0.9856		Jacob and Wilhelm Grimm	Pies i wróbel
+1000_novels_0278	drop	0.9960	0.0040	wolne_lektury_2376100=0.9960		Jacob and Wilhelm Grimm	Pastuszka gęsi
+1000_novels_0280	drop	0.9871	0.0000	wolne_lektury_2371784=0.9871		Jacob and Wilhelm Grimm	Wilk i człowiek
+1000_novels_0281	drop	0.9969	0.0101	wolne_lektury_2371634=0.9969		Jacob and Wilhelm Grimm	Ubogi bogaty
+1000_novels_0282	drop	0.9490	0.0018	wolne_lektury_2377232=0.9490		Jacob and Wilhelm Grimm	Śmierć kurki
+1000_novels_0283	drop	0.9633	0.0000	wolne_lektury_2377064=0.9633		Jacob and Wilhelm Grimm	Siedmiośpiochy
+1000_novels_0285	drop	0.9946	0.0134	wolne_lektury_2372028=0.9946		Jacob and Wilhelm Grimm	Zając i jeż
+1000_novels_0286	drop	0.9737	0.0033	wolne_lektury_2371970=0.9737		Jacob and Wilhelm Grimm	Wszechwiedzący doktór
+1000_novels_0287	drop	0.9937	0.0047	wolne_lektury_2371819=0.9937		Jacob and Wilhelm Grimm	Włóczęgi
+1000_novels_0289	drop	1.0000	0.0050	wolne_lektury_2376487=1.0000		E. T. A. Hoffmann	Don Juan
+1000_novels_0290	drop	0.9999	0.0023	wolne_lektury_2374125=0.9999		Friedrich Hebbel	Dzienniki
+1000_novels_0292	drop	0.9988	0.0047	wolne_lektury_2374150=0.9988		E. T. A. Hoffmann	Panna de Scudéry
+1000_novels_0293	drop	1.0000	0.0030	wolne_lektury_2376490=1.0000		E. T. A. Hoffmann	Narożne okno
+1000_novels_0294	drop	1.0000	0.0052	wolne_lektury_2376489=1.0000		E. T. A. Hoffmann	Majorat
+1000_novels_0295	drop	1.0000	0.0037	wolne_lektury_2376488=1.0000		E. T. A. Hoffmann	Kawaler Gluck
+1000_novels_0296	drop	0.9990	0.0037	wolne_lektury_2376495=0.9990		E. T. A. Hoffmann	Wybór narzeczonej
+1000_novels_0297	drop	1.0000	0.0054	wolne_lektury_2376494=1.0000		E. T. A. Hoffmann	Ślub
+1000_novels_0298	drop	1.0000	0.0051	wolne_lektury_2376493=1.0000		E. T. A. Hoffmann	Skrzypce z Cremony
+1000_novels_0299	drop	1.0000	0.0059	wolne_lektury_2376491=1.0000		E. T. A. Hoffmann	Piaskun
+1000_novels_0300	keep	0.0051	0.0028			Vicente Blasco Ibáñez	Czterech jeźdźców Apokalipsy
+1000_novels_0301	drop	0.9998	0.0011	wolne_lektury_2374186=0.9998		Alexander von Humboldt	Podróż po rzece Orinoko
+1000_novels_0302	drop	0.9987	0.0023	wolne_lektury_2373385=0.9987		Klementyna Hoffmanowa	Dziennik Franciszki Krasińskiej
+1000_novels_0303	drop	0.9994	0.0038	wolne_lektury_2374151=0.9994		E. T. A. Hoffmann	Złoty garnek
+1000_novels_0304	drop	0.9951	0.0027	wolne_lektury_2374995=0.9951		Klemens Junosza	Łaciarz
+1000_novels_0305	drop	0.9991	0.0047	wolne_lektury_2373819=0.9991		Klemens Junosza	Froim
+1000_novels_0306	drop	0.9995	0.0026	wolne_lektury_2373007=0.9995		Klemens Junosza	Cud na kirkucie
+1000_novels_0311	drop	0.9955	0.0011	wolne_lektury_2374375=0.9955		Klemens Junosza	Zając
+1000_novels_0312	keep	0.0063	0.0041			Zygmunt Kaczkowski	Swaty na Rusi
+1000_novels_0313	keep	0.0043	0.0026			Zygmunt Kaczkowski	Bitwa o Chorążankę
+1000_novels_0318	drop	0.9996	0.0013	wolne_lektury_2375898=0.9996		Immanuel Kant	O potędze ducha
+1000_novels_0319	drop	0.9989	0.0035	wolne_lektury_2374526=0.9989		Rudyard Kipling	Druga księga dżungli
+1000_novels_0320	drop	0.9983	0.0034	wolne_lektury_2374912=0.9983		Rudyard Kipling	Księga dżungli
+1000_novels_0321	drop	0.9996	0.0026	wolne_lektury_2374525=0.9996		Rudyard Kipling	Kim
+1000_novels_0322	drop	0.9995	0.0040	wolne_lektury_2374430=0.9995		Rudyard Kipling	Kapitanowie zuchy
+1000_novels_0323	keep	0.0026	0.0022			Maria Konopnicka	BANASIOWA
+1000_novels_0324	keep	0.0034	0.0015			Maria Konopnicka	Anusia
+1000_novels_0325	drop	0.9999	0.0038	wolne_lektury_2374528=0.9999		Rudyard Kipling	Stalky i spółka
+1000_novels_0326	drop	0.9987	0.0032	wolne_lektury_2374527=0.9987		Rudyard Kipling	Puk z Pukowej Górki
+1000_novels_0327	keep	0.0081	0.0048			Maria Konopnicka	Ksawery
+1000_novels_0328	keep	0.0094	0.0047			Maria Konopnicka	Józik Srokacz
+1000_novels_0329	drop	0.9789	0.0017	wolne_lektury_2374274=0.9789		Maria Konopnicka	Jakton
+1000_novels_0330	drop	0.9802	0.0025	wolne_lektury_2373286=0.9802		Maria Konopnicka	Dym
+1000_novels_0331	keep	0.0075	0.0058			Maria Konopnicka	Moja cioteczka
+1000_novels_0332	drop	0.9951	0.0032	wolne_lektury_2375447=0.9951		Maria Konopnicka	Miłosierdzie gminy
+1000_novels_0333	drop	0.9977	0.0032	wolne_lektury_2375355=0.9977		Maria Konopnicka	Mendel Gdański
+1000_novels_0334	keep	0.0019	0.0004			Maria Konopnicka	Lalki moich dzieci
+1000_novels_0335	drop	0.9170	0.0041	wolne_lektury_2371646=0.9170		Maria Konopnicka	URBANOWA
+1000_novels_0336	keep	0.0044	0.0021			Maria Konopnicka	Stacho Szafarczyk
+1000_novels_0337	drop	0.9940	0.0029	wolne_lektury_2375703=0.9940		Maria Konopnicka	Nasza szkapa
+1000_novels_0338	keep	0.0070	0.0054			Maria Konopnicka	Morze
+1000_novels_0339	keep	0.0044	0.0019			Maria Konopnicka	Ze szkoły
+1000_novels_0340	keep	0.0040	0.0005			Maria Konopnicka	Z cmentarzy
+1000_novels_0341	keep	0.0077	0.0058			Maria Konopnicka	W winiarskim forcie
+1000_novels_0342	keep	0.0050	0.0031			Maria Konopnicka	W starym młynie
+1000_novels_0343	keep	0.0040	0.0017			Józef Ignacy Kraszewski	Biały książę
+1000_novels_0344	keep	0.0042	0.0019			Józef Ignacy Kraszewski	Banita
+1000_novels_0345	keep	0.0063	0.0027			Józef Ignacy Kraszewski	Adam
+1000_novels_0346	drop	0.9994	0.0011	wolne_lektury_2374851=0.9994		Michał Dymitr Krajewski	Woyciech Zdarzyński,
+1000_novels_0347	drop	0.9872	0.0027	wolne_lektury_2372845=0.5037 wolne_lektury_2372846=0.4836		Józef Ignacy Kraszewski	Brühl
+1000_novels_0348	keep	0.0033	0.0015			Józef Ignacy Kraszewski	Bracia Zmartwychwstańcy
+1000_novels_0349	keep	0.0041	0.0022			Józef Ignacy Kraszewski	BOŻY GNIEW
+1000_novels_0350	keep	0.0040	0.0020			Józef Ignacy Kraszewski	Boleszczyce
+1000_novels_0351	drop	0.9964	0.0026	wolne_lektury_2372947=0.9964		Józef Ignacy Kraszewski	CHATA ZA WSIĄ
+1000_novels_0352	drop	0.9743	0.0011	wolne_lektury_2372938=0.5063 wolne_lektury_2372937=0.4681		Józef Ignacy Kraszewski	Capreä i Roma
+1000_novels_0353	keep	0.0028	0.0014			Józef Ignacy Kraszewski	Było nas dwoje
+1000_novels_0354	drop	0.9967	0.0031	wolne_lektury_2372890=0.9967		Józef Ignacy Kraszewski	BUDNIK
+1000_novels_0355	drop	0.9999	0.0031	wolne_lektury_2374868=0.9999		Józef Ignacy Kraszewski	Djabeł
+1000_novels_0356	drop	0.9998	0.0023	wolne_lektury_2374867=0.9998		Józef Ignacy Kraszewski	Djabeł
+1000_novels_0357	drop	0.9998	0.0018	wolne_lektury_2374866=0.9998		Józef Ignacy Kraszewski	Djabeł
+1000_novels_0358	drop	0.9892	0.0020	wolne_lektury_2372964=0.5005 wolne_lektury_2372965=0.4888		Józef Ignacy Kraszewski	CHORE DUSZE
+1000_novels_0359	keep	0.0079	0.0054			Józef Ignacy Kraszewski	Dziad i baba
+1000_novels_0360	drop	0.9968	0.0024	wolne_lektury_2373279=0.3422 wolne_lektury_2373277=0.3308 wolne_lektury_2373278=0.3240		Józef Ignacy Kraszewski	DWIE KRÓLOWE
+1000_novels_0361	drop	0.9999	0.0027	wolne_lektury_2374869=0.9999		Józef Ignacy Kraszewski	Djabeł
+1000_novels_0362	keep	0.0031	0.0016			Józef Ignacy Kraszewski	KRAKÓW ZA ŁOKTKA
+1000_novels_0363	keep	0.0034	0.0013			Józef Ignacy Kraszewski	JELITA
+1000_novels_0364	drop	0.9982	0.0023	wolne_lektury_2374238=0.3382 wolne_lektury_2374239=0.3328 wolne_lektury_2374237=0.3273		Józef Ignacy Kraszewski	INFANTKA
+1000_novels_0365	keep	0.0040	0.0025			Józef Ignacy Kraszewski	HISTORJA SAWKI
+1000_novels_0366	drop	1.0000	0.0052	wolne_lektury_2374930=1.0000		Józef Ignacy Kraszewski	KWIAT PAPROCI
+1000_novels_0367	drop	0.9995	0.0022	wolne_lektury_2374870=0.9995		Józef Ignacy Kraszewski	Kunigas
+1000_novels_0368	drop	0.9957	0.0038	wolne_lektury_2374879=0.9957		Józef Ignacy Kraszewski	KRÓL i BONDARYWNA
+1000_novels_0369	drop	0.9956	0.0024	wolne_lektury_2375966=0.9956		Józef Ignacy Kraszewski	OSTROŻNIE Z OGNIEM
+1000_novels_0370	drop	0.9939	0.0056	wolne_lektury_2375711=0.9939		Józef Ignacy Kraszewski	NAUCZYCIELE SIEROTY
+1000_novels_0371	drop	0.9998	0.0006	wolne_lektury_2374871=0.9998		Józef Ignacy Kraszewski	Litwa za Witolda
+1000_novels_0372	drop	0.9950	0.0029	wolne_lektury_2376739=0.9950		Józef Ignacy Kraszewski	REJENT WĄTRÓBKA
+1000_novels_0373	drop	0.9888	0.0015	wolne_lektury_2376517=0.9888		Józef Ignacy Kraszewski	PROFESOR MILCZEK
+1000_novels_0374	drop	0.0048	0.9979		eltec_pol_2455268=0.9979	Józef Ignacy Kraszewski	Pogrobek
+1000_novels_0375	drop	0.0038	0.9984		eltec_pol_2455269=0.9984	Józef Ignacy Kraszewski	Stara baśń
+1000_novels_0376	keep	0.0050	0.0026			Józef Ignacy Kraszewski	Saskie ostatki
+1000_novels_0377	drop	0.9657	0.0013	wolne_lektury_2376946=0.9657		Józef Ignacy Kraszewski	RZYM ZA NERONA
+1000_novels_0378	keep	0.0048	0.0023			Józef Ignacy Kraszewski	Starosta warszawski
+1000_novels_0379	drop	0.0032	0.9984		eltec_pol_2455269=0.9984	Józef Ignacy Kraszewski	Stara baśń
+1000_novels_0380	drop	0.0040	0.9986		eltec_pol_2455269=0.9986	Józef Ignacy Kraszewski	Stara baśń
+1000_novels_0381	drop	0.9958	0.0036	wolne_lektury_2377573=0.9958		Józef Ignacy Kraszewski	SZPIEG
+1000_novels_0382	drop	0.9933	0.0017	wolne_lektury_2377415=0.3727 wolne_lektury_2377414=0.3285 wolne_lektury_2377416=0.2923		Józef Ignacy Kraszewski	SYN JAZDONA
+1000_novels_0383	drop	0.9958	0.0020	wolne_lektury_2377403=0.5112 wolne_lektury_2377404=0.4846		Józef Ignacy Kraszewski	Strzemieńczyk
+1000_novels_0384	drop	0.9950	0.0033	wolne_lektury_2374872=0.9950		Józef Ignacy Kraszewski	UPIÓR
+1000_novels_0385	keep	0.0061	0.0037			Józef Ignacy Kraszewski	Ulana
+1000_novels_0386	drop	0.9985	0.0019	wolne_lektury_2377611=0.9985		Józef Ignacy Kraszewski	Tatarzy na weselu
+1000_novels_0387	drop	0.9991	0.0058	wolne_lektury_2377618=0.9991		Selma Lagerlöf	Tętniące serce
+1000_novels_0388	drop	0.6975	0.0034	wolne_lektury_2374996=0.4081 wolne_lektury_2374997=0.2879		Pierre Choderlos de Laclos	Niebezpieczne związki
+1000_novels_0389	keep	0.0063	0.0031			Józef Ignacy Kraszewski	Z siedmioletniej wojny
+1000_novels_0390	drop	0.9982	0.0033	wolne_lektury_2371891=0.9982		Józef Ignacy Kraszewski	W OKNIE
+1000_novels_0391	drop	1.0000	0.0015	wolne_lektury_2375045=1.0000		Antoni Lange	Eksperyment
+1000_novels_0392	drop	1.0000	0.0054	wolne_lektury_2375044=1.0000		Antoni Lange	Babunia
+1000_novels_0393	drop	1.0000	0.0018	wolne_lektury_2375043=1.0000		Antoni Lange	Amor i Faun
+1000_novels_0394	drop	1.0000	0.0031	wolne_lektury_2375042=1.0000		Antoni Lange	Almanzor
+1000_novels_0395	drop	0.9994	0.0025	wolne_lektury_2375030=0.9994		Antoni Lange	Miranda
+1000_novels_0396	drop	1.0000	0.0006	wolne_lektury_2375048=1.0000		Antoni Lange	Memoriał doktora Czang-Fu-Li
+1000_novels_0397	drop	1.0000	0.0034	wolne_lektury_2375047=1.0000		Antoni Lange	Lenora
+1000_novels_0398	drop	1.0000	0.0009	wolne_lektury_2375046=1.0000		Antoni Lange	Kometa
+1000_novels_0399	drop	1.0000	0.0045	wolne_lektury_2375052=1.0000		Antoni Lange	Sen
+1000_novels_0400	drop	1.0000	0.0048	wolne_lektury_2375051=1.0000		Antoni Lange	Rozaura
+1000_novels_0401	drop	0.9888	0.0063	wolne_lektury_2375032=0.9888		Antoni Lange	Nowy Tarzan
+1000_novels_0402	drop	1.0000	0.0051	wolne_lektury_2374539=1.0000		Bolesław Leśmian	Baśń o pięknej Parysadzie i o ptaku Bulbulezarze
+1000_novels_0403	drop	0.9994	0.0054	wolne_lektury_2374538=0.9994		Bolesław Leśmian	Baśń o Aladynie i o lampie cudownej
+1000_novels_0404	drop	1.0000	0.0050	wolne_lektury_2374537=1.0000		Bolesław Leśmian	Ali-Baba i czterdziestu zbójców
+1000_novels_0405	drop	0.9977	0.0016	wolne_lektury_2375053=0.9977		Antoni Lange	Władca czasu
+1000_novels_0406	drop	1.0000	0.0035	wolne_lektury_2374534=1.0000		Bolesław Leśmian	Majka
+1000_novels_0407	drop	1.0000	0.0042	wolne_lektury_2374533=1.0000		Bolesław Leśmian	Jan Tajemnik
+1000_novels_0408	drop	1.0000	0.0043	wolne_lektury_2374532=1.0000		Bolesław Leśmian	Czarny kozioł
+1000_novels_0409	drop	1.0000	0.0052	wolne_lektury_2374540=1.0000		Bolesław Leśmian	Baśń o rumaku zaklętym
+1000_novels_0410	drop	0.9989	0.0043	wolne_lektury_2376624=0.9989		Bolesław Leśmian	Przygody Sindbada żeglarza
+1000_novels_0411	drop	1.0000	0.0021	wolne_lektury_2374535=1.0000		Bolesław Leśmian	Podlasiak
+1000_novels_0412	drop	1.0000	0.0052	wolne_lektury_2374541=1.0000		Bolesław Leśmian	Opowiadanie Króla Wysp Hebanowych
+1000_novels_0413	drop	1.0000	0.0023	wolne_lektury_2375190=1.0000		Julie de Lespinasse	Listy panny de Lespinasse
+1000_novels_0414	drop	1.0000	0.0041	wolne_lektury_2374536=1.0000		Bolesław Leśmian	Wiedźma
+1000_novels_0415	drop	1.0000	0.0042	wolne_lektury_2374542=1.0000		Bolesław Leśmian	Rybak i geniusz
+1000_novels_0416	drop	0.0068	0.9973		eltec_pol_2455275=0.9973	Władysław Łoziński	Oko proroka
+1000_novels_0418	drop	0.9999	0.0013	wolne_lektury_2375055=0.9999		Gotthold Ephraim Lessing	Laokoon albo o granicach malarstwa i poezji
+1000_novels_0419	drop	0.9963	0.0018	wolne_lektury_2375317=0.9963		Antoni Malczewski	Maria
+1000_novels_0420	keep	0.0087	0.0055			Ignacy Maciejowski (Sewer)	ROMANS WIKTY
+1000_novels_0421	keep	0.0096	0.0027			Ignacy Maciejowski (Sewer)	Bajecznie kolorowa
+1000_novels_0424	keep	0.0080	0.0051			Waleria Marrené	Błękitna książeczka
+1000_novels_0434	drop	1.0000	0.0034	wolne_lektury_2375451=1.0000		Franciszek Mirandola	Cel
+1000_novels_0435	drop	0.9890	0.0000	wolne_lektury_2375391=0.9890		Adam Mickiewicz	Żywila
+1000_novels_0436	drop	0.9996	0.0041	wolne_lektury_2373931=0.9996		Gustav Meyrink	Golem
+1000_novels_0437	drop	1.0000	0.0012	wolne_lektury_2375455=1.0000		Franciszek Mirandola	Gościniec dusz
+1000_novels_0438	drop	1.0000	0.0037	wolne_lektury_2375454=1.0000		Franciszek Mirandola	Drogowskaz
+1000_novels_0439	drop	1.0000	0.0015	wolne_lektury_2375453=1.0000		Franciszek Mirandola	Dola
+1000_novels_0440	drop	1.0000	0.0017	wolne_lektury_2375452=1.0000		Franciszek Mirandola	Chleb i woda
+1000_novels_0441	drop	1.0000	0.0014	wolne_lektury_2375458=1.0000		Franciszek Mirandola	Pociąg nadzwyczajny
+1000_novels_0442	drop	1.0000	0.0011	wolne_lektury_2375457=1.0000		Franciszek Mirandola	Lux perpetua
+1000_novels_0443	drop	1.0000	0.0037	wolne_lektury_2375456=1.0000		Franciszek Mirandola	Hotel pod ideałem
+1000_novels_0444	drop	1.0000	0.0018	wolne_lektury_2375461=1.0000		Franciszek Mirandola	Świt
+1000_novels_0445	drop	1.0000	0.0028	wolne_lektury_2375460=1.0000		Franciszek Mirandola	Stary dom
+1000_novels_0446	drop	1.0000	0.0018	wolne_lektury_2375459=1.0000		Franciszek Mirandola	Pułapka
+1000_novels_0447	drop	1.0000	0.0004	wolne_lektury_2375464=1.0000		Franciszek Mirandola	Zamknięte
+1000_novels_0448	drop	1.0000	0.0012	wolne_lektury_2375463=1.0000		Franciszek Mirandola	Wolność
+1000_novels_0449	drop	1.0000	0.0090	wolne_lektury_2375462=1.0000		Franciszek Mirandola	Ulica Dziwna
+1000_novels_0450	drop	0.9996	0.0010	wolne_lektury_2376515=0.9996		Michel de Montaigne	Próby
+1000_novels_0452	drop	1.0000	0.0034	wolne_lektury_2375465=1.0000		Franciszek Mirandola	Zatruta studnia
+1000_novels_0453	drop	0.9984	0.0014	wolne_lektury_2375191=0.9984		Montesquieu	Listy
+1000_novels_0454	drop	0.9988	0.0013	wolne_lektury_2376516=0.9988		Michel de Montaigne	Próby
+1000_novels_0455	drop	0.9986	0.0010	wolne_lektury_2376514=0.9986		Michel de Montaigne	Próby
+1000_novels_0456	drop	0.9996	0.0037	wolne_lektury_2377364=0.9996		Alfred de Musset	Spowiedź dziecięcia wieku
+1000_novels_0457	drop	0.0061	0.9962		eltec_pol_2455283=0.9962	Zuzanna Morawska	Na zgliszczach Zakonu
+1000_novels_0458	drop	0.9994	0.0007	wolne_lektury_2375868=0.9994		Montesquieu	O duchu praw
+1000_novels_0459	keep	0.0078	0.0046			Andrzej Niemojewski	Legendy
+1000_novels_0463	drop	0.9957	0.0011	wolne_lektury_2377602=0.9957		Friedrich Nietzsche	Tako rzecze Zaratustra
+1000_novels_0464	drop	0.9998	0.0013	wolne_lektury_2376940=0.9998		Friedrich Nietzsche	Ryszard Wagner w Bayreuth
+1000_novels_0465	drop	0.9987	0.0016	wolne_lektury_2375770=0.9987		Cyprian Kamil Norwid	„Ad leones!”
+1000_novels_0466	keep	0.0030	0.0006			Cecylia Niewiadomska	Chrobry
+1000_novels_0467	keep	0.0035	0.0017			Cecylia Niewiadomska	Bolesław Śmiały, Krzywousty i jego synowie
+1000_novels_0468	drop	0.9970	0.0462	wolne_lektury_2375787=0.9970		Cyprian Kamil Norwid	Menego
+1000_novels_0469	drop	0.7919	0.0013	wolne_lektury_2375778=0.7917		Cyprian Kamil Norwid	CZARNE KWIATY
+1000_novels_0470	drop	0.7908	0.0011	wolne_lektury_2375772=0.7903		Cyprian Kamil Norwid	BIAŁE KWIATY
+1000_novels_0471	keep	0.0015	0.0003			Cyprian Kamil Norwid	STYGMAT
+1000_novels_0472	keep	0.0007	0.0000			Cyprian Kamil Norwid	Ostatnia z bajek
+1000_novels_0473	keep	0.0020	0.0003			Cyprian Kamil Norwid	Milczenie
+1000_novels_0474	drop	0.8833	0.0027	wolne_lektury_2375066=0.8833		Artur Oppman	BAZYLISZEK
+1000_novels_0475	drop	0.9999	0.0022	wolne_lektury_2374131=0.9999		Novalis	Henryk Ofterdingen
+1000_novels_0476	keep	0.0018	0.0004			Cyprian Kamil Norwid	Tajemnica lorda Singelworth
+1000_novels_0477	drop	0.9911	0.0000	wolne_lektury_2377356=0.9911		Artur Oppman	Śpiąca królewna
+1000_novels_0478	drop	0.9933	0.0011	wolne_lektury_2375901=0.9933		Artur Oppman	Kot w butach
+1000_novels_0479	keep	0.0000	0.0000			Artur Oppman	Jan Leon Hipolit Kozietulski
+1000_novels_0480	drop	1.0000	0.0099	wolne_lektury_2375073=1.0000		Artur Oppman	Złota kaczka
+1000_novels_0481	drop	0.9806	0.0026	wolne_lektury_2375072=0.9806		Artur Oppman	Zbójcy
+1000_novels_0482	drop	1.0000	0.0051	wolne_lektury_2375070=1.0000		Artur Oppman	Syrena
+1000_novels_0483	keep	0.0051	0.0027			Władysław Orkan	Herkules nowożytny
+1000_novels_0484	keep	0.0074	0.0050			Władysław Orkan	Dwie kartki z życia nauczyciela
+1000_novels_0485	keep	0.0006	0.0000			Władysław Orkan	Błażkowa Łysina
+1000_novels_0486	keep	0.0068	0.0044			Władysław Orkan	Juzyna
+1000_novels_0487	keep	0.0019	0.0006			Władysław Orkan	Jaś znad brzegu
+1000_novels_0488	keep	0.0015	0.0006			Władysław Orkan	Jak Jędrek Śklarz po Włochach jeździł
+1000_novels_0489	keep	0.0592	0.0007	wolne_lektury_2376295=0.0534		Władysław Orkan	Krótki sen
+1000_novels_0490	keep	0.0033	0.0033			Władysław Orkan	Kościelny
+1000_novels_0491	keep	0.0043	0.0021			Władysław Orkan	KOMORNICY
+1000_novels_0492	drop	0.8661	0.0033	wolne_lektury_2376296=0.8658		Władysław Orkan	Na godne święta
+1000_novels_0493	drop	0.5178	0.0019	wolne_lektury_2376302=0.5165		Władysław Orkan	Listy ze wsi
+1000_novels_0494	keep	0.0056	0.0015			Władysław Orkan	Lis
+1000_novels_0495	keep	0.0046	0.0027			Władysław Orkan	Napoleon
+1000_novels_0496	keep	0.0013	0.0007			Władysław Orkan	Na zarobek
+1000_novels_0497	keep	0.0030	0.0012			Władysław Orkan	Na wydaniu
+1000_novels_0498	keep	0.0062	0.0028			Eliza Orzeszkowa	Anastazya
+1000_novels_0499	drop	0.8936	0.0039	wolne_lektury_2375927=0.8936		Eliza Orzeszkowa	A... B... C
+1000_novels_0500	keep	0.0018	0.0022			Władysław Orkan	O Wojtku, którego na Szczepana przekręcili
+1000_novels_0501	drop	0.9996	0.0019	wolne_lektury_2372316=0.9996		Eliza Orzeszkowa	Autobiografia w listach
+1000_novels_0502	drop	0.9954	0.0020	wolne_lektury_2375928=0.9954		Eliza Orzeszkowa	Ascetka
+1000_novels_0503	keep	0.0061	0.0036			Eliza Orzeszkowa	ARGONAUCI
+1000_novels_0504	keep	0.0298	0.0053			Eliza Orzeszkowa	Bene nati
+1000_novels_0505	keep	0.0050	0.0023			Eliza Orzeszkowa	Bańka mydlana
+1000_novels_0506	keep	0.0051	0.0025			Eliza Orzeszkowa	BABUNIA
+1000_novels_0507	drop	0.9898	0.0035	wolne_lektury_2375930=0.9898		Eliza Orzeszkowa	Cham
+1000_novels_0508	drop	0.9831	0.0034	wolne_lektury_2375929=0.9831		Eliza Orzeszkowa	Bracia
+1000_novels_0509	drop	0.6291	0.0030	wolne_lektury_2373913=0.6261		Eliza Orzeszkowa	Bóg wie kto
+1000_novels_0510	keep	0.0047	0.0027			Eliza Orzeszkowa	CIEŃ
+1000_novels_0511	drop	1.0000	0.0000	wolne_lektury_2372971=1.0000		Eliza Orzeszkowa	Cicho, cicho na leśnej polanie…
+1000_novels_0512	keep	0.0059	0.0022			Eliza Orzeszkowa	CHOCHLIK-PSOTNIK
+1000_novels_0513	drop	0.9815	0.0019	wolne_lektury_2372121=0.9815		Eliza Orzeszkowa	Czternasta część
+1000_novels_0514	drop	0.9944	0.0046	wolne_lektury_2372984=0.9944		Eliza Orzeszkowa	CO MÓWIŁ STARY KLON?
+1000_novels_0515	drop	0.9973	0.0042	wolne_lektury_2372978=0.9973		Eliza Orzeszkowa	CNOTLIWI
+1000_novels_0516	keep	0.0052	0.0026			Eliza Orzeszkowa	DALEKO
+1000_novels_0517	drop	0.8806	0.0036	wolne_lektury_2372122=0.8806		Eliza Orzeszkowa	Daj kwiatek
+1000_novels_0518	drop	0.9905	0.0044	wolne_lektury_2373059=0.9905		Eliza Orzeszkowa	Czy pamiętasz?
+1000_novels_0519	drop	0.9951	0.0031	wolne_lektury_2373267=0.9950		Eliza Orzeszkowa	Dwa bieguny
+1000_novels_0520	drop	0.9955	0.0022	wolne_lektury_2373158=0.9955		Eliza Orzeszkowa	Dobra pani
+1000_novels_0521	drop	0.9888	0.0028	wolne_lektury_2373391=0.9888		Eliza Orzeszkowa	Dziurdziowie
+1000_novels_0522	drop	0.9966	0.0030	wolne_lektury_2373287=0.9966		Eliza Orzeszkowa	DYMY
+1000_novels_0523	keep	0.0062	0.0024			Eliza Orzeszkowa	DWIE
+1000_novels_0524	drop	0.8498	0.0032	wolne_lektury_2373873=0.2354 wolne_lektury_2377100=0.2115 wolne_lektury_2375873=0.2096 wolne_lektury_2374853=0.1921 wolne_lektury_2377389=0.1269 wolne_lektury_2374274=0.0654		Eliza Orzeszkowa	Gedali
+1000_novels_0525	drop	1.0000	0.0018	wolne_lektury_2373914=1.0000		Eliza Orzeszkowa	Dziwna historia
+1000_novels_0526	drop	0.9979	0.0042	wolne_lektury_2372112=0.9979		Eliza Orzeszkowa	DZIWAK
+1000_novels_0527	drop	0.9773	0.0026	wolne_lektury_2374242=0.9773		Eliza Orzeszkowa	i pieśń niech zapłacze
+1000_novels_0528	drop	1.0000	0.0039	wolne_lektury_2373916=1.0000		Eliza Orzeszkowa	Hekuba
+1000_novels_0529	drop	1.0000	0.0033	wolne_lektury_2373915=1.0000		Eliza Orzeszkowa	Gloria victis
+1000_novels_0530	drop	0.9974	0.0031	wolne_lektury_2374373=0.9974		Eliza Orzeszkowa	JULIANKA
+1000_novels_0531	drop	1.0000	0.0000	wolne_lektury_2374363=1.0000		Eliza Orzeszkowa	Jest on jeszcze bardzo oddalony…
+1000_novels_0532	drop	0.9897	0.0044	wolne_lektury_2374358=0.9897		Eliza Orzeszkowa	Jędza
+1000_novels_0533	drop	0.9995	0.0008	wolne_lektury_2374524=0.9995		Eliza Orzeszkowa	Kilka słów o kobietach
+1000_novels_0534	drop	1.0000	0.0000	wolne_lektury_2374461=1.0000		Eliza Orzeszkowa	Kędy płyną dwa złote ruczaje…
+1000_novels_0535	keep	0.0048	0.0023			Eliza Orzeszkowa	KARYERY
+1000_novels_0536	drop	0.9997	0.0006	wolne_lektury_2375225=0.9997		Eliza Orzeszkowa	MAGON
+1000_novels_0537	drop	1.0000	0.0000	wolne_lektury_2374917=1.0000		Eliza Orzeszkowa	Któż się przed Tobą ostoi?
+1000_novels_0538	drop	0.9984	0.0029	wolne_lektury_2375932=0.9984		Eliza Orzeszkowa	KTO WINIEN?
+1000_novels_0539	keep	0.0051	0.0029			Eliza Orzeszkowa	MILORD
+1000_novels_0540	drop	0.0049	0.7771		eltec_pol_2455286=0.7770	Eliza Orzeszkowa	MEIR EZOFOWICZ
+1000_novels_0541	keep	0.0057	0.0030			Eliza Orzeszkowa	Marya
+1000_novels_0542	drop	1.0000	0.0000	wolne_lektury_2375555=1.0000		Eliza Orzeszkowa	Nad brzegiem Renu stali…
+1000_novels_0543	keep	0.0021	0.0006			Eliza Orzeszkowa	Myszy morskie
+1000_novels_0544	drop	0.9991	0.0025	wolne_lektury_2375486=0.9991		Eliza Orzeszkowa	MOMENT
+1000_novels_0545	drop	0.0060	0.9995		eltec_pol_2455287=0.9995	Eliza Orzeszkowa	Nad Niemnem
+1000_novels_0546	drop	0.0060	0.9995		eltec_pol_2455287=0.9995	Eliza Orzeszkowa	Nad Niemnem Tom II
+1000_novels_0547	drop	0.0056	0.9993		eltec_pol_2455287=0.9993	Eliza Orzeszkowa	Nad Niemnem Tom I
+1000_novels_0548	drop	1.0000	0.0032	wolne_lektury_2373917=1.0000		Eliza Orzeszkowa	Oficer
+1000_novels_0549	drop	0.9989	0.0025	wolne_lektury_2375846=0.9989		Eliza Orzeszkowa	Obrazek z lat głodowych
+1000_novels_0550	keep	0.0048	0.0026			Eliza Orzeszkowa	NIEPOPRAWNY
+1000_novels_0551	keep	0.0075	0.0051			Eliza Orzeszkowa	PAJĘCZYNA
+1000_novels_0552	keep	0.0065	0.0034			Eliza Orzeszkowa	Ostatnia miłość
+1000_novels_0553	drop	1.0000	0.0022	wolne_lektury_2373918=1.0000		Eliza Orzeszkowa	Oni
+1000_novels_0554	drop	0.9991	0.0023	wolne_lektury_2372112=0.9991		Eliza Orzeszkowa	PANI LUIZA
+1000_novels_0555	keep	0.0081	0.0051			Eliza Orzeszkowa	Pan Graba
+1000_novels_0556	keep	0.0060	0.0035			Eliza Orzeszkowa	Pierwotni
+1000_novels_0557	drop	1.0000	0.0029	wolne_lektury_2373919=1.0000		Eliza Orzeszkowa	Panna Róża
+1000_novels_0558	drop	0.9989	0.0025	wolne_lektury_2376012=0.9989		Eliza Orzeszkowa	PANNA ANTONINA
+1000_novels_0559	keep	0.0079	0.0022			Eliza Orzeszkowa	Przędze
+1000_novels_0560	drop	0.9994	0.0022	wolne_lektury_2376459=0.9994		Eliza Orzeszkowa	PORCELANKA
+1000_novels_0561	drop	0.9972	0.0024	wolne_lektury_2376330=0.9972		Eliza Orzeszkowa	POCZĄTEK POWIEŚCI
+1000_novels_0562	keep	0.0062	0.0044			Eliza Orzeszkowa	ROCZNICA
+1000_novels_0563	keep	0.0065	0.0028			Eliza Orzeszkowa	Przy dochodzeniu śledczym
+1000_novels_0564	keep	0.0078	0.0033			Eliza Orzeszkowa	SAM NA SAM
+1000_novels_0565	drop	0.9997	0.0017	wolne_lektury_2376912=0.9997		Eliza Orzeszkowa	ROTSZYLDÓWNA
+1000_novels_0566	drop	0.9995	0.0052	wolne_lektury_2376905=0.9995		Eliza Orzeszkowa	ROMANOWA
+1000_novels_0567	drop	1.0000	0.0000	wolne_lektury_2377229=1.0000		Eliza Orzeszkowa	Słyszy to wieczór…
+1000_novels_0568	drop	0.9984	0.0020	wolne_lektury_2377100=0.9984		Eliza Orzeszkowa	„SILNY SAMSON.”
+1000_novels_0569	drop	0.9989	0.0040	wolne_lektury_2377066=0.9989		Eliza Orzeszkowa	SIELANKA NIERÓŻOWA
+1000_novels_0570	keep	0.0052	0.0028			Eliza Orzeszkowa	Światło w ruinach
+1000_novels_0571	drop	0.9987	0.0027	wolne_lektury_2372112=0.9987		Eliza Orzeszkowa	STRACONY
+1000_novels_0572	drop	1.0000	0.0022	wolne_lektury_2373920=1.0000		Eliza Orzeszkowa	Śmierć domu
+1000_novels_0573	drop	0.9980	0.0027	wolne_lektury_2377474=0.9980		Eliza Orzeszkowa	SZARA DOLA
+1000_novels_0574	drop	0.9951	0.0037	wolne_lektury_2377419=0.9951		Eliza Orzeszkowa	SYN STOLARZA
+1000_novels_0575	keep	0.0058	0.0035			Eliza Orzeszkowa	Sylwek Cmentarnik
+1000_novels_0576	keep	0.0037	0.0017			Eliza Orzeszkowa	TYTAN, FAUN I NIMFA
+1000_novels_0577	drop	1.0000	0.0000	wolne_lektury_2377603=1.0000		Eliza Orzeszkowa	Tak szeptał tuman czarny…
+1000_novels_0578	drop	0.9982	0.0010	wolne_lektury_2377485=0.9982		Eliza Orzeszkowa	SZCZĘŚLIWA
+1000_novels_0579	drop	1.0000	0.0000	wolne_lektury_2371888=1.0000		Eliza Orzeszkowa	W ogniu pracy i łez…
+1000_novels_0580	drop	0.9971	0.0043	wolne_lektury_2375936=0.9971		Eliza Orzeszkowa	W KLATCE
+1000_novels_0581	drop	0.9964	0.0012	wolne_lektury_2371715=0.9964		Eliza Orzeszkowa	W GROBIE ETRUSKIM
+1000_novels_0582	drop	0.8445	0.0037	wolne_lektury_2375934=0.8439		Eliza Orzeszkowa	WIDMA
+1000_novels_0583	drop	0.9987	0.0025	wolne_lektury_2371710=0.9987		Eliza Orzeszkowa	WESELE WIESIOŁKA
+1000_novels_0584	drop	0.9361	0.0028	wolne_lektury_2372011=0.9361		Eliza Orzeszkowa	W zimowy wieczór
+1000_novels_0585	drop	0.9989	0.0045	wolne_lektury_2372022=0.9989		Eliza Orzeszkowa	ZAGADKA
+1000_novels_0586	drop	0.9918	0.0016	wolne_lektury_2371963=0.9918		Eliza Orzeszkowa	WŚRÓD KWIATÓW
+1000_novels_0587	drop	0.9983	0.0030	wolne_lektury_2375935=0.9983		Eliza Orzeszkowa	WIELKI
+1000_novels_0588	drop	0.9977	0.0031	wolne_lektury_2372102=0.9977		Eliza Orzeszkowa	ZŁOTA NITKA
+1000_novels_0589	drop	0.9983	0.0034	wolne_lektury_2375937=0.9983		Eliza Orzeszkowa	ZEFIREK
+1000_novels_0590	drop	1.0000	0.0000	wolne_lektury_2372082=1.0000		Eliza Orzeszkowa	Że raz jeszcze…
+1000_novels_0591	drop	0.9976	0.0028	wolne_lektury_2375959=0.9976		Bronisława Ostrowska	Bohaterski miś
+1000_novels_0592	keep	0.0069	0.0040			Eliza Orzeszkowa	Zygmunt Ławicz i jego koledzy
+1000_novels_0593	drop	1.0000	0.0000	wolne_lektury_2372107=1.0000		Eliza Orzeszkowa	Zmiłuj się nad nami!
+1000_novels_0594	keep	0.0073	0.0045			Helena Janina Pajzderska	DZWONEK
+1000_novels_0595	drop	0.9952	0.0022	wolne_lektury_2374118=0.9952		Rodrigues Ottolengui	Guzik z kamei
+1000_novels_0596	keep	0.0074	0.0045			Helena Janina Pajzderska	W PORĘ
+1000_novels_0597	keep	0.0064	0.0035			Helena Janina Pajzderska	* * * SZKICE KĄPIELOWE
+1000_novels_0598	keep	0.0097	0.0032			Helena Janina Pajzderska	NASZA LAMPA
+1000_novels_0599	keep	0.0076	0.0043			Helena Janina Pajzderska	ZADUSZNY DZIEŃ ADAMKA
+1000_novels_0600	keep	0.0080	0.0029			Helena Janina Pajzderska	WACHLARZ
+1000_novels_0601	drop	0.9998	0.0008	wolne_lektury_2376000=0.9998		Jan Chryzostom Pasek	Pamiętniki
+1000_novels_0602	drop	0.8351	0.0010	wolne_lektury_2376527=0.8350		Blaise Pascal	PROWINCJAŁKI
+1000_novels_0603	drop	0.9993	0.0011	wolne_lektury_2376038=0.9993		Blaise Pascal	Myśli
+1000_novels_0605	drop	0.9999	0.0020	wolne_lektury_2377017=0.9999		Friedrich Paulsen	Schopenhauer, Hamlet, Mefistofeles
+1000_novels_0606	drop	0.9987	0.0033	wolne_lektury_2372616=0.9987		Edgar Allan Poe	Berenice
+1000_novels_0607	drop	0.9958	0.0021	wolne_lektury_2372612=0.9958		Edgar Allan Poe	Beczka Amontillada
+1000_novels_0609	keep	0.0092	0.0033			Edgar Allan Poe	Człowiek tłumu
+1000_novels_0610	drop	0.9951	0.0024	wolne_lektury_2373046=0.9951		Edgar Allan Poe	Czarny kot
+1000_novels_0612	drop	0.9990	0.0035	wolne_lektury_2374877=0.9990		Edgar Allan Poe	Król Dżumiec
+1000_novels_0614	drop	0.9986	0.0021	wolne_lektury_2373143=0.9986		Edgar Allan Poe	Diabeł na wieży
+1000_novels_0615	drop	0.9979	0.0016	wolne_lektury_2375325=0.9979		Edgar Allan Poe	Maska śmierci szkarłatnej
+1000_novels_0616	keep	0.0095	0.0042			Edgar Allan Poe	Malstrom
+1000_novels_0617	keep	0.0038	0.0000			Edgar Allan Poe	Milczenie
+1000_novels_0618	drop	0.9984	0.0016	wolne_lektury_2375358=0.9984		Edgar Allan Poe	Metzengerstein
+1000_novels_0619	drop	0.9964	0.0055	wolne_lektury_2376461=0.9964		Edgar Allan Poe	Portret owalny
+1000_novels_0621	drop	0.9901	0.0062	wolne_lektury_2377057=0.9886		Edgar Allan Poe	Serce — oskarżycielem
+1000_novels_0622	drop	0.9954	0.0034	wolne_lektury_2376742=0.9954		Edgar Allan Poe	Rękopis znaleziony w butli
+1000_novels_0623	drop	0.9986	0.0014	wolne_lektury_2376511=0.9986		Edgar Allan Poe	Prawdziwy opis wypadku z p. Waldemarem
+1000_novels_0624	drop	0.9979	0.0022	wolne_lektury_2371790=0.9979		Edgar Allan Poe	William Wilson
+1000_novels_0625	drop	0.9992	0.0023	wolne_lektury_2377405=0.9992		Edgar Allan Poe	Studnia i wahadło
+1000_novels_0626	drop	0.9993	0.0033	wolne_lektury_2372025=0.9993		Edgar Allan Poe	Zagłada domu Usherów
+1000_novels_0627	keep	0.0086	0.0012			Edgar Allan Poe	Zadziwiające oddziaływanie mermeryzmu na umierającego
+1000_novels_0628	drop	0.9995	0.0018	wolne_lektury_2371693=0.9995		Marcel Proust	W cieniu zakwitających dziewcząt
+1000_novels_0629	drop	0.9999	0.0019	wolne_lektury_2371694=0.9999		Marcel Proust	W cieniu zakwitających dziewcząt
+1000_novels_0630	drop	0.9997	0.0021	wolne_lektury_2371968=0.9997		Marcel Proust	W stronę Swanna
+1000_novels_0631	drop	0.9987	0.0016	wolne_lektury_2371695=0.9987		Marcel Proust	W cieniu zakwitających dziewcząt
+1000_novels_0632	drop	0.9996	0.0050	wolne_lektury_2372199=0.9996		Bolesław Prus	Antek
+1000_novels_0633	drop	0.8960	0.0046	wolne_lektury_2376529=0.8958		Bolesław Prus	ANIELKA
+1000_novels_0634	keep	0.0071	0.0000			Bolesław Prus	BAJKA
+1000_novels_0635	keep	0.0076	0.0045			Bolesław Prus	BĄDŹMY OSTROŻNI!
+1000_novels_0636	drop	0.9959	0.0014	wolne_lektury_2376530=0.9959		Bolesław Prus	Cienie
+1000_novels_0637	keep	0.0074	0.0059			Bolesław Prus	BYWA I TAK NA ŚWIECIE!
+1000_novels_0638	keep	0.0036	0.0036			Bolesław Prus	CZEGO „FAUST“ NAROBIŁ W PEWNEJ APTECE?
+1000_novels_0639	keep	0.0059	0.0032			Bolesław Prus	Co się z wielkiej idei zrobiło w małem miasteczku
+1000_novels_0640	keep	0.0164	0.0073			Bolesław Prus	ECHA MUZYCZNE
+1000_novels_0641	drop	0.9985	0.0061	wolne_lektury_2376531=0.9985		Bolesław Prus	Dziwna historia
+1000_novels_0642	drop	0.9989	0.0036	wolne_lektury_2374417=0.9989		Bolesław Prus	Kamizelka
+1000_novels_0643	drop	0.9994	0.0055	wolne_lektury_2376532=0.9994		Bolesław Prus	Grzechy dzieciństwa
+1000_novels_0644	drop	0.9980	0.0027	wolne_lektury_2376533=0.9980		Bolesław Prus	Lokator poddasza
+1000_novels_0645	drop	0.9905	0.0036	wolne_lektury_2374444=0.9905		Bolesław Prus	Katarynka
+1000_novels_0646	keep	0.0071	0.0079			Bolesław Prus	MILKNĄCE GŁOSY
+1000_novels_0647	drop	0.8297	0.0068	wolne_lektury_2376534=0.8291		Bolesław Prus	MICHAŁKO
+1000_novels_0648	drop	0.9975	0.0056	wolne_lektury_2376537=0.9975		Bolesław Prus	Nawrócony
+1000_novels_0649	drop	0.9991	0.0026	wolne_lektury_2376535=0.9991		Bolesław Prus	Na Saskiej Kępie
+1000_novels_0650	keep	0.0082	0.0043			Bolesław Prus	NA POGRANICZU
+1000_novels_0651	drop	0.9974	0.0023	wolne_lektury_2376538=0.9974		Bolesław Prus	Ogród Saski
+1000_novels_0652	keep	0.0031	0.0013			Bolesław Prus	NOWY ROK
+1000_novels_0653	keep	0.0064	0.0032			Bolesław Prus	NOWE PRĄDY
+1000_novels_0654	keep	0.0088	0.0059			Bolesław Prus	ON
+1000_novels_0655	drop	0.9989	0.0056	wolne_lektury_2376539=0.9989		Bolesław Prus	Omyłka
+1000_novels_0656	keep	0.0093	0.0116			Bolesław Prus	ORESTES I PYLADES
+1000_novels_0657	keep	0.0100	0.0058			Bolesław Prus	OPOWIADANIE LEKARZA
+1000_novels_0658	drop	0.9995	0.0040	wolne_lektury_2376540=0.9995		Bolesław Prus	Pan Wesołowski i jego kij
+1000_novels_0659	keep	0.0111	0.0064			Bolesław Prus	PAN DUDKOWSKI I JEGO FOLWARK
+1000_novels_0660	drop	0.9991	0.0044	wolne_lektury_2376541=0.9991		Bolesław Prus	Placówka
+1000_novels_0661	keep	0.0127	0.0055			Bolesław Prus	Pleśń świata
+1000_novels_0662	keep	0.0070	0.0049			Bolesław Prus	PODWÓJNY CZŁOWIEK
+1000_novels_0663	drop	0.9953	0.0023	wolne_lektury_2376542=0.9953		Bolesław Prus	Pod szychtami
+1000_novels_0664	drop	0.9986	0.0030	wolne_lektury_2376544=0.9986		Bolesław Prus	Powiastki cmentarne
+1000_novels_0665	drop	0.9988	0.0053	wolne_lektury_2376543=0.9988		Bolesław Prus	Pojednani
+1000_novels_0666	drop	0.9983	0.0073	wolne_lektury_2376545=0.9983		Bolesław Prus	Przeklęte szczęście
+1000_novels_0667	drop	0.9988	0.0052	wolne_lektury_2376499=0.9988		Bolesław Prus	Powracająca fala
+1000_novels_0668	drop	0.9993	0.0042	wolne_lektury_2376546=0.9993		Bolesław Prus	Przygoda Stasia
+1000_novels_0669	keep	0.0062	0.0047			Bolesław Prus	PRZY KSIĘŻYCU
+1000_novels_0670	keep	0.0084	0.0049			Bolesław Prus	SIEROCA DOLA
+1000_novels_0671	keep	0.0066	0.0053			Bolesław Prus	SEN
+1000_novels_0672	keep	0.0077	0.0063			Bolesław Prus	STARA BAJKA
+1000_novels_0673	keep	0.0075	0.0043			Bolesław Prus	SŁAWA
+1000_novels_0674	keep	0.0050	0.0034			Bolesław Prus	SZKATUŁKA BABKI
+1000_novels_0675	drop	0.9986	0.0038	wolne_lektury_2376547=0.9986		Bolesław Prus	Sukienka balowa
+1000_novels_0676	keep	0.0084	0.0051			Bolesław Prus	W WALCE Z ŻYCIEM
+1000_novels_0677	keep	0.0100	0.0055			Bolesław Prus	W GÓRACH
+1000_novels_0678	keep	0.0114	0.0077			Bolesław Prus	WIDZENIE
+1000_novels_0679	drop	0.9953	0.0071	wolne_lektury_2376536=0.9953		Bolesław Prus	Na wakacjach
+1000_novels_0680	drop	0.9957	0.0026	wolne_lektury_2376548=0.9957		Bolesław Prus	Wigilia
+1000_novels_0681	keep	0.0009	0.0009			Bolesław Prus	WIDZIADŁA
+1000_novels_0682	keep	0.0081	0.0047			Bolesław Prus	ZE WSPOMNIEŃ CYKLISTY
+1000_novels_0683	drop	0.9887	0.0006	wolne_lektury_2372099=0.9887		Bolesław Prus	Z legend dawnego Egiptu
+1000_novels_0684	drop	0.9984	0.0036	wolne_lektury_2376608=0.9984		Stanisław Przybyszewski	Androgyne
+1000_novels_0685	drop	0.8712	0.0021	wolne_lektury_2376555=0.8712		Bolesław Prus	ŻYWY TELEGRAF
+1000_novels_0686	keep	0.0002	0.0000			Stanisław Przybyszewski	De profundis
+1000_novels_0687	drop	0.9891	0.0013	wolne_lektury_2372986=0.9891		Stanisław Przybyszewski	Confiteor
+1000_novels_0688	keep	0.0091	0.0053			Stanisław Przybyszewski	MOCNY CZŁOWIEK
+1000_novels_0689	drop	0.9991	0.0068	wolne_lektury_2376609=0.9991		Stanisław Przybyszewski	Dzieci szatana
+1000_novels_0690	keep	0.0303	0.0011			Stanisław Przybyszewski	Nad morzem
+1000_novels_0691	keep	0.0727	0.0010			Stanisław Przybyszewski	NA DROGACH DUSZY
+1000_novels_0692	drop	0.9962	0.0052	wolne_lektury_2377418=0.9962		Stanisław Przybyszewski	SYNOWIE ZIEMI
+1000_novels_0693	drop	0.9982	0.0017	wolne_lektury_2376615=0.9982		Stanisław Przybyszewski	Requiem aeternam
+1000_novels_0694	drop	0.9972	0.0021	wolne_lektury_2376617=0.9972		Stanisław Przybyszewski	Z Wigilii (fragmenty)
+1000_novels_0695	drop	0.9970	0.0018	wolne_lektury_2377555=0.9970		Stanisław Przybyszewski	Szopen a Naród
+1000_novels_0697	keep	0.0005	0.0002			Alexander Pushkin	Baśń o królu Sałtanie, o jego synu, słynnym i potężnym bohaterze Gwidonie, i o pięknej królewnie Łabędziu
+1000_novels_0698	drop	0.9895	0.0016	wolne_lektury_2373864=0.9895		François Rabelais	Gargantua i Pantagruel
+1000_novels_0700	keep	0.0040	0.0025			Władysław Reymont	Bunt
+1000_novels_0701	keep	0.0033	0.0024			Władysław Reymont	AVE PATRIA
+1000_novels_0702	drop	0.9978	0.0016	wolne_lektury_2373281=0.9978		Władysław Reymont	Dwie wiosny
+1000_novels_0703	drop	0.0030	0.8259		eltec_pol_2455294=0.8258	Władysław Reymont	Chłopi
+1000_novels_0704	drop	0.9998	0.0071	wolne_lektury_2376751=0.9998		Władysław Reymont	Lili
+1000_novels_0705	drop	0.0077	0.8798		eltec_pol_2455295=0.8794	Władysław Reymont	Komediantka
+1000_novels_0706	keep	0.0046	0.0032			Władysław Reymont	Przed świtem
+1000_novels_0707	drop	0.8207	0.0038	wolne_lektury_2376187=0.8203		Władysław Reymont	PEWNEGO DNIA
+1000_novels_0708	drop	0.9920	0.0068	wolne_lektury_2376632=0.9920		Władysław Reymont	PRZY ROBOCIE
+1000_novels_0709	drop	0.9993	0.0052	wolne_lektury_2377365=0.9993		Władysław Reymont	Sprawiedliwie
+1000_novels_0710	keep	0.0038	0.0024			Władysław Reymont	Rok 1794
+1000_novels_0711	drop	0.9950	0.0054	wolne_lektury_2371816=0.9950		Władysław Reymont	W jesienną noc
+1000_novels_0712	drop	0.9842	0.0067	wolne_lektury_2377717=0.9842		Władysław Reymont	TOMEK BARAN
+1000_novels_0713	keep	0.0032	0.0029			Władysław Reymont	Suka
+1000_novels_0714	keep	0.0087	0.0050			Władysław Reymont	Wampir
+1000_novels_0715	drop	0.9983	0.0068	wolne_lektury_2371954=0.9983		Władysław Reymont	W porębie
+1000_novels_0716	drop	0.9951	0.0041	wolne_lektury_2372162=0.9951		Władysław Reymont	Z ZIEMI CHEŁMSKIEJ
+1000_novels_0717	drop	0.9993	0.0033	wolne_lektury_2372115=0.9993		Władysław Reymont	Z pamiętnika
+1000_novels_0718	keep	0.0024	0.0012			Maria Rodziewiczówna	CZARNA WODA
+1000_novels_0719	drop	0.9992	0.0030	wolne_lektury_2376754=0.9992		Rainer Maria Rilke	Malte
+1000_novels_0720	keep	0.0000	0.0000			Maria Rodziewiczówna	MŁYN ARCHIPA
+1000_novels_0721	drop	0.0065	0.9981		eltec_pol_2455298=0.9981	Maria Rodziewiczówna	Między ustami a brzegiem pucharu
+1000_novels_0722	keep	0.0040	0.0013			Maria Rodziewiczówna	PIASKI
+1000_novels_0723	keep	0.0027	0.0020			Maria Rodziewiczówna	NA STAREJ CHOINIE
+1000_novels_0724	keep	0.0036	0.0027			Maria Rodziewiczówna	Ryngraf
+1000_novels_0725	keep	0.0000	0.0000			Maria Rodziewiczówna	ROZDROŻE
+1000_novels_0726	keep	0.0060	0.0020			Maria Rodziewiczówna	WPISANY DO HEROLDYI
+1000_novels_0727	drop	0.0065	0.9957		eltec_pol_2455299=0.9957	Maria Rodziewiczówna	Straszny dziadunio
+1000_novels_0728	keep	0.0026	0.0000			Maria Rodziewiczówna	Z TAMTEJ STRONY
+1000_novels_0729	drop	0.9999	0.0033	wolne_lektury_2376765=0.9999		Maria Rodziewiczówna	Wrzos
+1000_novels_0730	drop	0.9992	0.0022	wolne_lektury_2376911=0.9992		Joseph Roth	Rodzina Bernheimów
+1000_novels_0731	keep	0.0009	0.0017			Maria Rodziewiczówna	ZAGONY
+1000_novels_0733	drop	1.0000	0.0000	wolne_lektury_2376193=1.0000		Saint-Pol-Roux	Pielgrzymka do św. Anny
+1000_novels_0735	drop	0.9999	0.0014	wolne_lektury_2377019=0.9999		Arthur Schopenhauer	O wolności ludzkiej woli
+1000_novels_0736	drop	0.9983	0.0000	wolne_lektury_2377026=0.9983		Bruno Schulz	Druga jesień
+1000_novels_0737	drop	0.9991	0.0052	wolne_lektury_2377025=0.9991		Bruno Schulz	Dodo
+1000_novels_0738	drop	0.9996	0.0013	wolne_lektury_2377028=0.9996		Bruno Schulz	Emeryt
+1000_novels_0739	drop	0.9990	0.0010	wolne_lektury_2377027=0.9990		Bruno Schulz	Edzio
+1000_novels_0740	drop	0.9980	0.0000	wolne_lektury_2377021=0.9980		Bruno Schulz	Jesień
+1000_novels_0741	drop	0.9994	0.0016	wolne_lektury_2377029=0.9994		Bruno Schulz	Genialna epoka
+1000_novels_0742	drop	0.9994	0.0020	wolne_lektury_2377022=0.9994		Bruno Schulz	Kometa
+1000_novels_0743	drop	1.0000	0.0000	wolne_lektury_2377111=1.0000		Bruno Schulz	Karakony
+1000_novels_0744	drop	0.9994	0.0011	wolne_lektury_2377030=0.9994		Bruno Schulz	Księga
+1000_novels_0745	drop	0.9978	0.0000	wolne_lektury_2377112=0.9978		Bruno Schulz	Manekiny
+1000_novels_0746	drop	0.9995	0.0018	wolne_lektury_2377031=0.9995		Bruno Schulz	Martwy sezon
+1000_novels_0747	drop	1.0000	0.0033	wolne_lektury_2377113=1.0000		Bruno Schulz	Nawiedzenie
+1000_novels_0748	drop	0.9990	0.0025	wolne_lektury_2377032=0.9990		Bruno Schulz	Mój ojciec wstępuje do strażaków
+1000_novels_0749	drop	0.9988	0.0012	wolne_lektury_2377033=0.9988		Bruno Schulz	Noc lipcowa
+1000_novels_0750	drop	1.0000	0.0019	wolne_lektury_2377114=1.0000		Bruno Schulz	Nemrod
+1000_novels_0751	drop	0.9984	0.0005	wolne_lektury_2377023=0.9984		Bruno Schulz	Ojczyzna
+1000_novels_0752	drop	1.0000	0.0006	wolne_lektury_2377115=1.0000		Bruno Schulz	Noc wielkiego sezonu
+1000_novels_0753	drop	1.0000	0.0012	wolne_lektury_2377117=1.0000		Bruno Schulz	Pan Karol
+1000_novels_0754	drop	0.9987	0.0013	wolne_lektury_2377034=0.9987		Bruno Schulz	Ostatnia ucieczka ojca
+1000_novels_0755	drop	1.0000	0.0016	wolne_lektury_2377118=1.0000		Bruno Schulz	Ptaki
+1000_novels_0756	drop	1.0000	0.0000	wolne_lektury_2377116=1.0000		Bruno Schulz	Pan
+1000_novels_0757	drop	0.9971	0.0029	wolne_lektury_2377035=0.9971		Bruno Schulz	Samotność
+1000_novels_0758	drop	0.9878	0.0005	wolne_lektury_2377024=0.9878		Bruno Schulz	Republika marzeń
+1000_novels_0759	drop	0.9978	0.0018	wolne_lektury_2377119=0.9978		Bruno Schulz	Sierpień
+1000_novels_0760	drop	0.9984	0.0017	wolne_lektury_2377036=0.9984		Bruno Schulz	Sanatorium Pod Klepsydrą
+1000_novels_0761	drop	1.0000	0.0018	wolne_lektury_2377121=1.0000		Bruno Schulz	Traktat o Manekinach albo wtóra księga rodzaju
+1000_novels_0762	drop	1.0000	0.0010	wolne_lektury_2377120=1.0000		Bruno Schulz	Sklepy cynamonowe
+1000_novels_0763	drop	1.0000	0.0036	wolne_lektury_2377123=1.0000		Bruno Schulz	Traktat o Manekinach Dokończenie
+1000_novels_0764	drop	1.0000	0.0000	wolne_lektury_2377122=1.0000		Bruno Schulz	Traktat o Manekinach Ciąg dalszy
+1000_novels_0765	drop	1.0000	0.0025	wolne_lektury_2377125=1.0000		Bruno Schulz	Wichura
+1000_novels_0766	drop	1.0000	0.0004	wolne_lektury_2377124=1.0000		Bruno Schulz	Ulica krokodyli
+1000_novels_0767	drop	0.9632	0.0008	wolne_lektury_2372904=0.9632		William Shakespeare	Burza
+1000_novels_0768	drop	0.9999	0.0017	wolne_lektury_2377037=0.9999		Bruno Schulz	Wiosna
+1000_novels_0769	drop	0.9837	0.0041	wolne_lektury_2377074=0.9837		Henryk Sienkiewicz	Bajka
+1000_novels_0770	drop	0.9941	0.0000	wolne_lektury_2377068=0.9941		Henryk Sienkiewicz	Bądź błogosławiona
+1000_novels_0771	drop	0.9837	0.0041	wolne_lektury_2377074=0.9837		Henryk Sienkiewicz	Bajka
+1000_novels_0772	drop	0.9905	0.0095	wolne_lektury_2377069=0.9905		Henryk Sienkiewicz	Bajka
+1000_novels_0773	drop	0.9991	0.0049	wolne_lektury_2372608=0.9991		Henryk Sienkiewicz	Bartek zwycięzca
+1000_novels_0774	keep	0.0099	0.0034			Henryk Sienkiewicz	BIESIADA
+1000_novels_0775	drop	0.9932	0.0050	wolne_lektury_2372653=0.9932		Henryk Sienkiewicz	Bez dogmatu
+1000_novels_0776	drop	0.9878	0.0000	wolne_lektury_2377071=0.9878		Henryk Sienkiewicz	Czy ci najmilszy?
+1000_novels_0777	drop	0.9924	0.0049	wolne_lektury_2377070=0.9924		Henryk Sienkiewicz	Co się raz stało w Sydonie
+1000_novels_0778	drop	0.9968	0.0032	wolne_lektury_2377073=0.9968		Henryk Sienkiewicz	Dwie łąki
+1000_novels_0779	drop	0.9978	0.0044	wolne_lektury_2377072=0.9978		Henryk Sienkiewicz	Diokles
+1000_novels_0780	keep	0.0049	0.0013			Henryk Sienkiewicz	JAMIOŁ
+1000_novels_0781	drop	0.9965	0.0044	wolne_lektury_2377075=0.9965		Henryk Sienkiewicz	Jako się pan Lubomirski nawrócił i kościół w Tarnawie zbudował
+1000_novels_0782	drop	0.9982	0.0078	wolne_lektury_2374305=0.9982		Henryk Sienkiewicz	Janko Muzykant
+1000_novels_0783	drop	0.9984	0.0044	wolne_lektury_2374904=0.9984		Henryk Sienkiewicz	Krzyżacy Tom II
+1000_novels_0784	drop	0.9977	0.0046	wolne_lektury_2374905=0.9977		Henryk Sienkiewicz	Krzyżacy Tom I
+1000_novels_0785	drop	0.9950	0.0033	wolne_lektury_2375058=0.9950		Henryk Sienkiewicz	Latarnik
+1000_novels_0786	keep	0.0156	0.0094			Henryk Sienkiewicz	LUX IN TENEBRIS LUCET
+1000_novels_0787	drop	0.9935	0.0049	wolne_lektury_2377076=0.9935		Henryk Sienkiewicz	Legenda żeglarska
+1000_novels_0788	drop	0.9908	0.0012	wolne_lektury_2377079=0.9908		Henryk Sienkiewicz	Na Olimpie
+1000_novels_0789	drop	0.9978	0.0052	wolne_lektury_2375574=0.9978		Henryk Sienkiewicz	Na marne
+1000_novels_0790	keep	0.0080	0.0042			Henryk Sienkiewicz	Na polu chwały
+1000_novels_0791	keep	0.0093	0.0051			Henryk Sienkiewicz	Nikt nie jest prorokiem między swemi
+1000_novels_0792	drop	0.9886	0.0011	wolne_lektury_2375759=0.9886		Henryk Sienkiewicz	Niewola tatarska
+1000_novels_0793	drop	0.0067	0.9982		eltec_pol_2455300=0.9982	Henryk Sienkiewicz	Ogniem i mieczem Tom I
+1000_novels_0794	keep	0.0084	0.0038			Henryk Sienkiewicz	ORGANISTA Z PONIKŁY
+1000_novels_0795	drop	0.0084	0.9983		eltec_pol_2455300=0.9983	Henryk Sienkiewicz	Ogniem i mieczem Tom II
+1000_novels_0796	drop	0.9995	0.0065	wolne_lektury_2377080=0.9995		Henryk Sienkiewicz	Orso
+1000_novels_0797	drop	0.9982	0.0102	wolne_lektury_2377081=0.9982		Henryk Sienkiewicz	Płomyk
+1000_novels_0798	drop	0.9993	0.0043	wolne_lektury_2376017=0.9993		Henryk Sienkiewicz	Pan Wołodyjowski
+1000_novels_0799	drop	0.9991	0.0056	wolne_lektury_2377082=0.9991		Henryk Sienkiewicz	Pójdźmy za nim!
+1000_novels_0800	drop	0.9993	0.0044	wolne_lektury_2376484=0.9993		Henryk Sienkiewicz	Potop
+1000_novels_0801	drop	0.9994	0.0042	wolne_lektury_2376483=0.9994		Henryk Sienkiewicz	Potop
+1000_novels_0802	drop	0.9881	0.0089	wolne_lektury_2377083=0.9881		Henryk Sienkiewicz	Przygoda Arystoklesa
+1000_novels_0803	drop	0.9990	0.0037	wolne_lektury_2376485=0.9990		Henryk Sienkiewicz	Potop
+1000_novels_0804	drop	0.9904	0.0000	wolne_lektury_2377084=0.9904		Henryk Sienkiewicz	Sabałowa bajka
+1000_novels_0805	drop	0.0091	0.9968		eltec_pol_2455301=0.9968	Henryk Sienkiewicz	Quo vadis
+1000_novels_0806	drop	0.9974	0.0032	wolne_lektury_2377086=0.9974		Henryk Sienkiewicz	Sąd Ozyrysa
+1000_novels_0807	drop	0.9987	0.0025	wolne_lektury_2377085=0.9987		Henryk Sienkiewicz	Sachem
+1000_novels_0808	keep	0.0091	0.0046			Henryk Sienkiewicz	SELIM MIRZA
+1000_novels_0809	drop	0.9994	0.0054	wolne_lektury_2377512=0.9994		Henryk Sienkiewicz	Szkice węglem
+1000_novels_0810	keep	0.0089	0.0052			Henryk Sienkiewicz	STARY SŁUGA
+1000_novels_0811	drop	0.9899	0.0126	wolne_lektury_2377088=0.9899		Henryk Sienkiewicz	U bramy raju
+1000_novels_0812	drop	0.9977	0.0031	wolne_lektury_2377087=0.9977		Henryk Sienkiewicz	Toast
+1000_novels_0813	drop	0.9990	0.0038	wolne_lektury_2377089=0.9990		Henryk Sienkiewicz	We mgle
+1000_novels_0814	drop	0.9977	0.0053	wolne_lektury_2371955=0.9977		Henryk Sienkiewicz	W pustyni i w puszczy
+1000_novels_0815	drop	0.9941	0.0038	wolne_lektury_2377091=0.9941		Henryk Sienkiewicz	Wspomnienie z Maripozy
+1000_novels_0816	drop	0.9988	0.0024	wolne_lektury_2377090=0.9988		Henryk Sienkiewicz	Wesele
+1000_novels_0817	drop	0.9961	0.0010	wolne_lektury_2377094=0.9961		Henryk Sienkiewicz	Z dawnych dziejów
+1000_novels_0818	drop	0.9985	0.0031	wolne_lektury_2377092=0.9985		Henryk Sienkiewicz	Wyrok Zeusa
+1000_novels_0819	drop	0.9993	0.0073	wolne_lektury_2377096=0.9993		Henryk Sienkiewicz	Z pamiętnika poznańskiego nauczyciela
+1000_novels_0820	drop	0.9867	0.0044	wolne_lektury_2377095=0.9867 wolne_lektury_2376017=0.9506		Henryk Sienkiewicz	Z kurzem krwi bratniej…
+1000_novels_0821	drop	0.9979	0.0021	wolne_lektury_2377150=0.9979		Juliusz Słowacki	Anhelli
+1000_novels_0822	drop	0.9990	0.0054	wolne_lektury_2377093=0.9990		Henryk Sienkiewicz	Za chlebem
+1000_novels_0823	drop	0.9996	0.0006	wolne_lektury_2376603=0.9996		Stanisław Staszic	Przestrogi dla Polski z teraźniejszych politycznych Europy związków i z praw natury wypadające
+1000_novels_0824	drop	0.9992	0.0008	wolne_lektury_2377151=0.9984 wolne_lektury_2377160=0.9153		Juliusz Słowacki	Do emigracji o potrzebie idei
+1000_novels_0825	drop	0.9997	0.0030	wolne_lektury_2377378=0.9997		Stendhal	Czerwone i czarne
+1000_novels_0826	drop	0.9985	0.0018	wolne_lektury_2377379=0.9985		Stendhal	O miłości
+1000_novels_0827	drop	0.9999	0.0021	wolne_lektury_2374892=0.9999		Stendhal	Kroniki włoskie
+1000_novels_0828	drop	0.9980	0.0019	wolne_lektury_2377380=0.9980		Stendhal	Pamiętnik egotysty
+1000_novels_0829	drop	0.9998	0.0027	wolne_lektury_2377381=0.9998		Stendhal	Pustelnia parmeńska
+1000_novels_0830	drop	0.9997	0.0020	wolne_lektury_2377382=0.9997		Stendhal	Życie Henryka Brulard
+1000_novels_0831	drop	0.9998	0.0042	wolne_lektury_2371984=0.9998		Robert Louis Stevenson	Wyspa skarbów
+1000_novels_0832	drop	0.9999	0.0002	wolne_lektury_2377401=0.9999		Maciej Stryjkowski	Kronika polska, litewska, żmudzka i wszystkiéj Rusi
+1000_novels_0833	drop	0.9405	0.0021	wolne_lektury_2372948=0.9405		Aleksander Świętochowski	Chawa Rubin
+1000_novels_0834	drop	0.9957	0.0025	wolne_lektury_2372234=0.9957		Aleksander Świętochowski	ASBE
+1000_novels_0835	drop	0.9974	0.0026	wolne_lektury_2373269=0.9974		Aleksander Świętochowski	DWAJ FILOZOFOWIE
+1000_novels_0836	drop	0.9992	0.0031	wolne_lektury_2374433=0.9992		Aleksander Świętochowski	KARL KRUG
+1000_novels_0837	drop	0.9991	0.0019	wolne_lektury_2374545=0.9991		Aleksander Świętochowski	KLEMENS BORUTA
+1000_novels_0838	drop	0.9993	0.0028	wolne_lektury_2375863=0.9993		Aleksander Świętochowski	ODDECHY
+1000_novels_0839	drop	0.9944	0.0006	wolne_lektury_2377616=0.9944		Aleksander Świętochowski	TESTAMENT ALEGO
+1000_novels_0840	drop	0.9902	0.0000	wolne_lektury_2377375=0.9902		Aleksander Świętochowski	STARZEC I DZIECIĘ
+1000_novels_0841	drop	0.9968	0.0000	wolne_lektury_2371943=0.9968		Aleksander Świętochowski	WOŁY
+1000_novels_0842	drop	0.9966	0.0005	wolne_lektury_2377441=0.9966		Władysław Syrokomla	Margier
+1000_novels_0844	drop	0.9998	0.0007	wolne_lektury_2377471=0.9998		Władysław Syrokomla	Wycieczki po Litwie w promieniach od Wilna Tom II
+1000_novels_0845	drop	0.9998	0.0007	wolne_lektury_2377472=0.9998		Władysław Syrokomla	Wycieczki po Litwie w promieniach od Wilna Tom I
+1000_novels_0847	drop	1.0000	0.0074	wolne_lektury_2377580=1.0000		Rabindranath Tagore	Babu z Najandżor
+1000_novels_0849	drop	1.0000	0.0017	wolne_lektury_2377581=1.0000		Rabindranath Tagore	Był sobie król
+1000_novels_0850	drop	1.0000	0.0048	wolne_lektury_2373910=1.0000		Rabindranath Tagore	Głodne kamienie
+1000_novels_0851	drop	1.0000	0.0047	wolne_lektury_2377583=1.0000		Rabindranath Tagore	Kabuliwala
+1000_novels_0852	drop	1.0000	0.0040	wolne_lektury_2377582=1.0000		Rabindranath Tagore	Jego królewska mość — dziecko
+1000_novels_0853	drop	1.0000	0.0021	wolne_lektury_2377584=1.0000		Rabindranath Tagore	Kapłanka Wisznu
+1000_novels_0854	drop	1.0000	0.0033	wolne_lektury_2377586=1.0000		Rabindranath Tagore	Kuma
+1000_novels_0855	drop	1.0000	0.0042	wolne_lektury_2377585=1.0000		Rabindranath Tagore	Koronujemy cię na króla
+1000_novels_0856	drop	1.0000	0.0024	wolne_lektury_2377587=1.0000		Rabindranath Tagore	Maszi
+1000_novels_0857	drop	1.0000	0.0076	wolne_lektury_2377588=1.0000		Rabindranath Tagore	Moja piękna sąsiadka
+1000_novels_0858	drop	1.0000	0.0028	wolne_lektury_2377589=1.0000		Rabindranath Tagore	Noc ziszczenia
+1000_novels_0859	drop	1.0000	0.0049	wolne_lektury_2377590=1.0000		Rabindranath Tagore	Odwet
+1000_novels_0860	drop	1.0000	0.0069	wolne_lektury_2377592=1.0000		Rabindranath Tagore	Radża i rani
+1000_novels_0861	drop	1.0000	0.0048	wolne_lektury_2377591=1.0000		Rabindranath Tagore	Powrót
+1000_novels_0862	drop	1.0000	0.0063	wolne_lektury_2377593=1.0000		Rabindranath Tagore	Rozwiązanie zagadki
+1000_novels_0863	drop	1.0000	0.0063	wolne_lektury_2377595=1.0000		Rabindranath Tagore	Starsza siostra
+1000_novels_0864	drop	1.0000	0.0027	wolne_lektury_2377594=1.0000		Rabindranath Tagore	Śmierć Kadambini
+1000_novels_0865	drop	1.0000	0.0030	wolne_lektury_2377597=1.0000		Rabindranath Tagore	Szkielet
+1000_novels_0866	drop	1.0000	0.0066	wolne_lektury_2377596=1.0000		Rabindranath Tagore	Stróż dziedzictwa
+1000_novels_0867	drop	1.0000	0.0044	wolne_lektury_2377598=1.0000		Rabindranath Tagore	Uratowana
+1000_novels_0868	drop	1.0000	0.0040	wolne_lektury_2377599=1.0000		Rabindranath Tagore	Zwycięstwo
+1000_novels_0869	drop	0.9991	0.0045	wolne_lektury_2376196=0.9991		William Makepeace Thackeray	Pierścień i róża
+1000_novels_0882	drop	0.9992	0.0052	wolne_lektury_2371647=0.9992		Zofia Urbanowska	Gucio zaczarowany
+1000_novels_0883	keep	0.0058	0.0026			Jules Verne	500 milionów Begumy
+1000_novels_0884	drop	0.9995	0.0063	wolne_lektury_2371648=0.9995		Zofia Urbanowska	Księżniczka
+1000_novels_0891	drop	0.5383	0.0017	wolne_lektury_2376626=0.5380		Jules Verne	Przygody trzech Rossyan i trzech Anglików w południowej Afryce
+1000_novels_0895	drop	0.9544	0.0038	wolne_lektury_2374144=0.9544		Voltaire	Historia dobrego bramina
+1000_novels_0896	drop	0.9990	0.0021	wolne_lektury_2374418=0.9990		Voltaire	Kandyd czyli optymizm
+1000_novels_0897	drop	0.9973	0.0021	wolne_lektury_2375396=0.9973		Voltaire	Mikromegas
+1000_novels_0898	drop	0.9992	0.0018	wolne_lektury_2372020=0.9992		Voltaire	Zadig czyli Los
+1000_novels_0899	drop	0.9991	0.0024	wolne_lektury_2377604=0.9991		Voltaire	Tak toczy się światek
+1000_novels_0906	drop	0.9978	0.0026	wolne_lektury_2371801=0.9978		Stanisław Ignacy Witkiewicz	Narkotyki
+1000_novels_0907	drop	0.0053	0.8431		eltec_pol_2455316=0.8430	Stanisław Ignacy Witkiewicz	NIENASYCENIE
+1000_novels_0908	drop	1.0000	0.0030	wolne_lektury_2375342=1.0000		Gabriela Zapolska	Bydlę
+1000_novels_0909	drop	0.0072	0.8288		eltec_pol_2455317=0.8285	Stanisław Ignacy Witkiewicz	POŻEGNANIE JESIENI
+1000_novels_0910	drop	0.9988	0.0073	wolne_lektury_2372036=0.9988		Gabriela Zapolska	Dwie
+1000_novels_0911	drop	0.9987	0.0046	wolne_lektury_2372037=0.9987		Gabriela Zapolska	Frania
+1000_novels_0912	drop	1.0000	0.0019	wolne_lektury_2375343=1.0000		Gabriela Zapolska	Gołąbki
+1000_novels_0913	drop	0.9989	0.0020	wolne_lektury_2372040=0.9989		Gabriela Zapolska	Korale Maciejowej
+1000_novels_0914	drop	0.0058	0.9996		eltec_pol_2455318=0.9996	Gabriela Zapolska	Kaśka Kariatyda
+1000_novels_0915	drop	1.0000	0.0060	wolne_lektury_2375345=1.0000		Gabriela Zapolska	Kozioł ofiarny
+1000_novels_0916	drop	1.0000	0.0052	wolne_lektury_2375344=1.0000		Gabriela Zapolska	Koteczek
+1000_novels_0917	drop	1.0000	0.0049	wolne_lektury_2375346=1.0000		Gabriela Zapolska	Kukułka
+1000_novels_0918	drop	1.0000	0.0014	wolne_lektury_2375347=1.0000		Gabriela Zapolska	Kundel
+1000_novels_0919	drop	1.0000	0.0023	wolne_lektury_2375348=1.0000		Gabriela Zapolska	Lewek
+1000_novels_0920	drop	1.0000	0.0037	wolne_lektury_2375349=1.0000		Gabriela Zapolska	Małpa
+1000_novels_0921	drop	1.0000	0.0038	wolne_lektury_2375350=1.0000		Gabriela Zapolska	Oślica
+1000_novels_0922	drop	0.9941	0.0059	wolne_lektury_2372041=0.9941		Gabriela Zapolska	Ostatni promień
+1000_novels_0923	drop	0.9988	0.0031	wolne_lektury_2372042=0.9988		Gabriela Zapolska	Pani Dulska przed sądem
+1000_novels_0924	drop	1.0000	0.0020	wolne_lektury_2375351=1.0000		Gabriela Zapolska	Papuzia
+1000_novels_0925	drop	1.0000	0.0019	wolne_lektury_2375353=1.0000		Gabriela Zapolska	Żabusia
+1000_novels_0926	drop	1.0000	0.0012	wolne_lektury_2375352=1.0000		Gabriela Zapolska	Szakale
+1000_novels_0927	keep	0.0050	0.0019			Stefan Żeromski	Ananke
+1000_novels_0928	drop	0.9103	0.0011	wolne_lektury_2372229=0.9103		Stefan Żeromski	Aryman mści się
+1000_novels_0929	keep	0.0056	0.0029			Stefan Żeromski	Charitas
+1000_novels_0930	drop	0.9959	0.0031	wolne_lektury_2372083=0.9959		Stefan Żeromski	„Cokolwiek się zdarzy
+1000_novels_0931	keep	0.0083	0.0048			Stefan Żeromski	Cienie
+1000_novels_0932	keep	0.0010	0.0010			Stefan Żeromski	Do swego Boga
+1000_novels_0933	drop	0.9979	0.0029	wolne_lektury_2373180=0.9979		Stefan Żeromski	Doktor Piotr
+1000_novels_0934	drop	0.9921	0.0018	wolne_lektury_2373394=0.9921		Stefan Żeromski	Echa leśne
+1000_novels_0935	keep	0.0048	0.0012			Stefan Żeromski	Inter arma
+1000_novels_0936	keep	0.0067	0.0031			Stefan Żeromski	"Legenda o ""bracie leśnym"""
+1000_novels_0937	keep	0.0206	0.0017			Stefan Żeromski	Literatura a życie polskie
+1000_novels_0938	drop	0.9999	0.0049	wolne_lektury_2375207=0.9999		Stefan Żeromski	Ludzie bezdomni Tom II
+1000_novels_0939	drop	0.9990	0.0031	wolne_lektury_2375208=0.9990		Stefan Żeromski	Ludzie bezdomni Tom I
+1000_novels_0940	keep	0.0055	0.0029			Stefan Żeromski	NA PROBOSTWIE W WYSZKOWIE
+1000_novels_0941	keep	0.0018	0.0018			Stefan Żeromski	Na pokładzie
+1000_novels_0942	keep	0.0068	0.0056			Stefan Żeromski	Nagi bruk
+1000_novels_0943	keep	0.0047	0.0021			Stefan Żeromski	NAWRACANIE JUDASZA
+1000_novels_0944	keep	0.0075	0.0033			Stefan Żeromski	Niedziela
+1000_novels_0945	keep	0.0036	0.0021			Stefan Żeromski	Nokturn
+1000_novels_0946	keep	0.0112	0.0060			Stefan Żeromski	O pewnym wielkim panu i jego małym murzynku
+1000_novels_0947	keep	0.0042	0.0022			Stefan Żeromski	O żołnierzu tułaczu
+1000_novels_0948	keep	0.0054	0.0036			Stefan Żeromski	Pavoncello
+1000_novels_0949	keep	0.0080	0.0064			Stefan Żeromski	Po Sedanie
+1000_novels_0950	keep	0.0014	0.0028			Stefan Żeromski	Poganin
+1000_novels_0951	keep	0.0071	0.0047			Stefan Żeromski	Pokusa
+1000_novels_0952	keep	0.0013	0.0004			Stefan Żeromski	Pomyłki
+1000_novels_0953	drop	0.9602	0.0027	wolne_lektury_2376455=0.3221 wolne_lektury_2376456=0.3212 wolne_lektury_2376454=0.3173		Stefan Żeromski	Popioły
+1000_novels_0954	drop	0.9973	0.0009	wolne_lektury_2376496=0.9973		Stefan Żeromski	Powieść o udałym Walgierzu
+1000_novels_0955	keep	0.0061	0.0035			Stefan Żeromski	PROMIEŃ
+1000_novels_0956	drop	0.0063	0.9989		eltec_pol_2455322=0.9989	Stefan Żeromski	Przedwiośnie
+1000_novels_0957	keep	0.0049	0.0021			Stefan Żeromski	Puszcza jodłowa
+1000_novels_0958	drop	0.8481	0.0031	wolne_lektury_2372087=0.8481		Stefan Żeromski	ROZDZIOBIĄ NAS KRUKI, WRONY
+1000_novels_0959	keep	0.0012	0.0000			Stefan Żeromski	Sen o szpadzie
+1000_novels_0960	drop	0.9995	0.0049	wolne_lektury_2377099=0.9995		Stefan Żeromski	Siłaczka
+1000_novels_0961	drop	0.8873	0.0037	wolne_lektury_2377227=0.8860		Stefan Żeromski	Słowo o bandosie
+1000_novels_0962	drop	0.0088	0.9977		eltec_pol_2455323=0.9977	Stefan Żeromski	Syzyfowe prace
+1000_novels_0963	keep	0.0151	0.0093			Stefan Żeromski	Tabu
+1000_novels_0964	keep	0.0067	0.0035			Stefan Żeromski	Uroda życia
+1000_novels_0965	keep	0.0080	0.0033			Stefan Żeromski	W SIDŁACH NIEDOLI
+1000_novels_0966	keep	0.0054	0.0013			Stefan Żeromski	Wiatr od morza
+1000_novels_0967	drop	0.9996	0.0032	wolne_lektury_2371973=0.9996		Stefan Żeromski	Wszystko i nic
+1000_novels_0968	drop	0.9995	0.0025	wolne_lektury_2371772=0.9995		Stefan Żeromski	Wierna rzeka
+1000_novels_0969	keep	0.0179	0.0010			Stefan Żeromski	Zapomnienie
+1000_novels_0970	keep	0.0079	0.0018			Stefan Żeromski	Złe spojrzenie
+1000_novels_0971	drop	0.9998	0.0028	wolne_lektury_2375693=0.9998		Narcyza Żmichowska	Narcyssa i Wanda
+1000_novels_0972	drop	0.9977	0.0030	wolne_lektury_2373447=0.9977		Émile Zola	Feta w Coqueville
+1000_novels_0973	drop	0.0054	0.9978		eltec_pol_2455326=0.9978	Narcyza Żmichowska	Poganka
+1000_novels_0974	drop	0.9953	0.0024	wolne_lektury_2372088=0.9953		Stefan Żeromski	Zmierzch
+1000_novels_0975	keep	0.0028	0.0008			Jerzy Żuławski	DWA DNI W ALPACH
+1000_novels_0976	keep	0.0099	0.0054			Jerzy Żuławski	BIAŁY SZCZUR
+1000_novels_0977	keep	0.0100	0.0060			Jerzy Żuławski	BAJKA O CZŁOWIEKU SZCZĘŚLIWYM
+1000_novels_0978	drop	0.9977	0.0038	wolne_lektury_2372091=0.9977		Émile Zola	Zgon Oliwiera Becaille
+1000_novels_0979	drop	0.9998	0.0038	wolne_lektury_2373875=0.9998		Émile Zola	Germinal
+1000_novels_0980	keep	0.0082	0.0073			Jerzy Żuławski	MATKA
+1000_novels_0981	keep	0.0039	0.0013			Lucius Annaeus Seneca	List Seneki do Lucyljusza
+1000_novels_0982	keep	0.0355	0.0032			Jerzy Żuławski	KUSZENIE SZATANA
+1000_novels_0983	keep	0.0075	0.0052			Jerzy Żuławski	JAK DON QUIXOTE POGODZIŁ HAMLETA Z DON JUANEM
+1000_novels_0984	keep	0.0046	0.0025			Jerzy Żuławski	HEGESIAS PEISITHANATOS
+1000_novels_0985	keep	0.0067	0.0044			Jerzy Żuławski	PAX
+1000_novels_0986	keep	0.0098	0.0063			Jerzy Żuławski	OKRUCHY
+1000_novels_0987	drop	0.0094	0.9988		eltec_pol_2455327=0.9988	Jerzy Żuławski	Na srebrnym globie
+1000_novels_0988	keep	0.0027	0.0012			Jerzy Żuławski	NA GEMMI JESIENIĄ
+1000_novels_0989	keep	0.0125	0.0081			Jerzy Żuławski	MODLITWA
+1000_novels_0990	keep	0.0052	0.0011			Jerzy Żuławski	TARANTELLA
+1000_novels_0991	drop	0.9999	0.0047	wolne_lektury_2371606=0.9999		Jerzy Żuławski	Stara Ziemia
+1000_novels_0992	keep	0.0072	0.0035			Jerzy Żuławski	ROZMOWA Z DJABŁEM
+1000_novels_0993	keep	0.0044	0.0015			Jerzy Żuławski	ROMEO I JULJETTA
+1000_novels_0994	keep	0.0108	0.0083			Jerzy Żuławski	PO UCZCIE
+1000_novels_0996	drop	0.0066	0.9982		eltec_pol_2455329=0.9982	Jerzy Żuławski	Zwycięzca
+1000_novels_0997	keep	0.0138	0.0055			Jerzy Żuławski	Z PAPIERÓW PO NIEDOSZŁYM SAMOBÓJCY
+1000_novels_0998	keep	0.0130	0.0079			Jerzy Żuławski	Z domu ojców
+1000_novels_0999	keep	0.0028	0.0010			Jerzy Żuławski	VENERI ET ROMAE

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

@@ -0,0 +1,21 @@
+{
+  "checked_at": "2026-10-06",
+  "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; an author or credited name without a curated death year fails closed (anonymous works excepted), and a credited translator who died after 1955 makes the text in copyright. Translator death years added 2026-10-06 cite Biblioteka Narodowa / VIAF authority records in the screen script. A Wolne Lektury public-domain footer does not substitute for a death year: 1000_novels_0734 (translator \"A.L.\", not identified) is dropped as unresolved, and 1 row (1000_novels_0462, co-translator Stefan Frycz d. 1960) is dropped against its Wolne Lektury public-domain footer.",
+  "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",
+  "screen_sha256": "7fefc75f8fcbd07e5ec98842276765ffef9520b6acb4e24b4751c67cc3d2081c",
+  "release_scope": {
+    "screened": 1000,
+    "kept": 221,
+    "pd_by_term": 887,
+    "dropped_in_copyright": 18,
+    "dropped_unresolved": 95,
+    "dropped_cross_source_duplicate": 666
+  },
+  "cross_source_dedup": "666 public-domain texts are not released because wolne_lektury or eltec_pol already carries them (polish-dynaword-v2#45; src/clean_1000_novels.py; per-row covers and matched ids in 1000_novels.dedup.tsv). This is a deduplication, not a rights finding."
+}

data/1000_novels/1000_novels.md

@@ -0,0 +1,77 @@
+# 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; rescreened 2026-10-06; texts already in wolne_lektury or eltec_pol dropped 2026-10-06
+
+## 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) | 887 | yes |
+| in copyright: 17 published by Wolne Lektury under CC BY-SA 3.0, 1 with a translator who died in 1960 | 18 | no |
+| author or translator not verified, or the text does not match its file | 95 | no |
+
+Of the 887 public-domain texts, 666 are not released because `wolne_lektury` or `eltec_pol`
+already carries them (see *Filters applied*); 221 are released.
+
+Translator death years added on 2026-10-06 cite Biblioteka Narodowa and VIAF authority
+records, listed in the screen script. They identify the cryptonym "A. W." on 29 Chekhov
+texts as Antoni Lange (d. 1929). They also show that *Wola mocy* (`1000_novels_0462`) was
+co-translated by Stefan Frycz (d. 1960), so it is dropped although its Wolne Lektury footer
+says public domain. A Wolne Lektury public-domain footer alone does not clear a text:
+`1000_novels_0734` (translator "A.L.", not identified) is dropped as unresolved. 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, 213; `position`: the line beside the
+author line, 1; `manual`: read by hand, 7), 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,
+the screen CSV and the `wolne_lektury` and `eltec_pol` Parquets it deduplicates against,
+all pinned by SHA-256 in the script. Text, `added`, `created` and `token_count` are unchanged.
+
+## Statistics
+| documents | characters | tokens (tiktoken proxy) |
+|---:|---:|---:|
+| 221 | 26,625,861 | 10,759,728 |
+
+## Per-document license metadata
+| license | documents |
+|---|---:|
+| `public-domain` | 221 |
+
+Author metadata present for **221** documents.
+
+## Filters applied
+- rights screen: read 1,000 → 887 public domain (dropped 18 in copyright, 95 unresolved)
+- cross-source dedup (polish-dynaword-v2#45): 887 → kept 221. A text is dropped when at
+  least half of its 5-word shingles (near_dedup tokenisation, Wolne Lektury footer cut
+  first) are in `wolne_lektury` documents (629 texts) or in `eltec_pol` documents (37;
+  none in both). No text covers between 0.0727 and 0.5178 against `wolne_lektury`
+  or between 0.0462 and 0.7771 against `eltec_pol`. Each screened text's covers and
+  matched document ids are in `1000_novels.dedup.tsv`. One dropped text has a part the
+  other sources lack: the last section (IV, about 1,100 words) of Orkan's *Listy ze wsi*
+  (`1000_novels_0493`, cover 0.5178 against Wolne Lektury's *Płanety*).
+- no length, language, OCR or within-source deduplication 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 sha256:7871bf64b7aadb79be3beab76a63200b07e950dd955e6072ad9e89fe8fa0d209
+size 13099733

data/1000_novels/1000_novels.stats.json

@@ -0,0 +1,36 @@
+{
+  "read": 1000,
+  "kept": 221,
+  "drop_rights": 113,
+  "drop_cross_dup": 666,
+  "drop_short": 0,
+  "drop_lang": 0,
+  "drop_dup": 0,
+  "drop_ocr": 0,
+  "chars": 26625861,
+  "tokens": 10759728,
+  "licenses": {
+    "public-domain": 221
+  },
+  "authors_with_value": 221,
+  "license": "public-domain",
+  "screen": {
+    "pd_by_term": 887,
+    "unresolved": 95,
+    "in_copyright": 18
+  },
+  "cross_dup": {
+    "wolne_lektury": 629,
+    "eltec_pol": 37,
+    "both": 0
+  },
+  "titles": {
+    "file": 213,
+    "position": 1,
+    "manual": 7
+  },
+  "input_sha256": "27be09e5e2347dcf1a83e94b6c210ca26bdd89365bc3563e88ea5af9846990ea",
+  "screen_sha256": "7fefc75f8fcbd07e5ec98842276765ffef9520b6acb4e24b4751c67cc3d2081c",
+  "wolne_lektury_sha256": "f308d49235551241d6c47c5e88138ba52e6235422ae272ddbc135c3b8696ae0e",
+  "eltec_pol_sha256": "ba40061741dff11165149f6c2cf3d5526e1b6c759e7ce1e03ccc164d58838325"
+}

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 +6,44 @@ 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
 - **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 |
 
-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.
+The per-document license is carried in the parquet `license` column.
 
 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.
+not run out, and `books_2147851` itself prints "Copyright by Jerzy Zając 2019". Only CC BY, CC BY-SA
+and CC0 values are kept; any other value fails the script.
 
 ## 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 |
+| 42,068 | 1,747,387,478 | 673,112,676 |
 
 ## Filters applied (build_dynaword.py)
 Minimal, per Dynaword guidelines (heavy filtering left to downstream use):
@@ -144,26 +52,15 @@ Minimal, per Dynaword guidelines (heavy filtering left to downstream use):
 - 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 42,068
 
-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 sha256:6b57b8eec198c9899198a73cea1af372df09b43783a49474a856ccbf83c97da4
+size 1075953966

data/biblioteka_nauki/biblioteka_nauki.stats.json

@@ -1,124 +1,18 @@
 {
   "read": 43576,
-  "kept": 37843,
+  "kept": 42068,
   "drop_short": 0,
   "drop_lang": 925,
   "drop_dup": 180,
   "drop_ocr": 400,
-  "chars": 1534529869,
-  "tokens": 590924796,
+  "chars": 1747387478,
+  "tokens": 673112676,
   "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",
+  "license": "CC-BY-4.0 / 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
+    "cc-by": 28335,
+    "cc-by-sa": 13733
   },
-  "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
-  }
+  "input_sha256": "cc93cdd5ca3e6576a1da0aa294df1308e879b8516ac30911289e430c69a07b26"
 }

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:96ae8554974620e6e8c4692acc09d1d80bcb4fc9b96635c3dda43632057d56c0
-size 313259612
+oid sha256:648582ad41339b3007a20487932ec3d2fef38f48f62f7347500bc4a4b1b574a9
+size 313196900

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.

data/edukacja_medialna_pl/edukacja_medialna_pl.md

@@ -8,7 +8,7 @@ configs:
 - config_name: default
   data_files:
   - split: train
-    path: data/edukacja_medialna_pl/edukacja_medialna_pl.parquet
+    path: data/train-00000-of-00001.parquet
 ---
 
 # Edukacja Medialna PL
@@ -18,16 +18,16 @@ A text-only snapshot of Polish media-literacy lesson explanations and scenarios
 - Discovered: 255 lesson URLs
 - Retained: 248 records
 - Tokens: 713,052 (`cl100k_base` proxy)
-- **License:** CC BY-SA 3.0 per retained record
+- License: CC BY-SA 3.0 per retained record
 - Author coverage: 100.0%
 
-See `NOTICE.md`, `edukacja_medialna_pl.attribution.jsonl`, `edukacja_medialna_pl.decisions.jsonl`, `edukacja_medialna_pl.qa.json` and `artifacts/edukacja_medialna_pl_ontology_manifest.json`. Twelve complete deterministic records are in `edukacja_medialna_pl.sample.jsonl`. The contributor's `checksums.json`, `inventory.json` and `raw_xml.jsonl.gz` are not in this repository.
+See `NOTICE.md`, `artifacts/attribution.jsonl`, `artifacts/decisions.jsonl`, `artifacts/qa.json`, `artifacts/checksums.json` and `artifacts/ontology.json`. Twelve complete deterministic records are in `artifacts/sample.jsonl`.
 
 ## Origin and license
 
 - Origin: Edukacja Medialna, run by Fundacja Nowoczesna Polska — lesson index
   <https://edukacjamedialna.edu.pl/lekcje/>, per-lesson source XML pinned in
-  `raw_xml.jsonl.gz` (not in this repository).
+  `artifacts/raw_xml.jsonl.gz`.
 - License statement **at the origin** (verified on the site, not on the mirror):
   every lesson page ends with `Licencja: Creative Commons Uznanie autorstwa -
   Na tych samych warunkach 3.0`, linking <https://creativecommons.org/licenses/by-sa/3.0/>
@@ -38,7 +38,7 @@ See `NOTICE.md`, `edukacja_medialna_pl.attribution.jsonl`, `edukacja_medialna_pl
   (<http://creativecommons.org/licenses/by-sa/3.0/deed.pl>).
 - The build gate requires explicit CC BY-SA 3.0 on both the lesson page and the
   source XML (`dc:rights` + `dc:rights.license`); per-record evidence (`rights`,
-  `rights_urls`, `page_sha256`, `xml_sha256`) is in `edukacja_medialna_pl.attribution.jsonl`.
+  `rights_urls`, `page_sha256`, `xml_sha256`) is in `artifacts/attribution.jsonl`.
 
 ## What the texts are
 
@@ -72,15 +72,15 @@ pinned raw XML, so the shard is reproducible:
   trimmed; runs of 3+ newlines capped at one empty line (paragraph breaks kept).
 - **PII**: pattern-based redaction only — e-mail addresses → `[REDACTED:EMAIL]`,
   labelled phone numbers (`telefon`/`tel.`) → `[REDACTED:PHONE]`. Matches in the
-  shard: 1 e-mail, 0 phones. This is not de-identification; a NERGAL pass
-  runs before v0.2.7 (v0.2.6 ships without it).
+  shard: 1 e-mail, 0 phones. This is not de-identification; a NERGAL pass is
+  required before release.
 - **Gates and drops**: explicit CC BY-SA 3.0 on page and XML (255/255), credited
   creator (3 dropped: `missing_creator`), body ≥ 300 chars (0 dropped), langid
   Polish (7-language set, confidence ≥ 0.99; 0 dropped), exact dedup on
   normalized text (0 dropped), near-dedup seeded MinHash 128 / LSH 0.8 with
   exact 5-word Jaccard ≥ 0.9 (0 dropped). 252 of 255 passed these gates.
 - **Third-party quotations** (rights audit 2026-10): 4 further lessons are dropped whole by
-  `src/clean_edukacja_medialna_pl.py` (reason `third_party_quote` in `edukacja_medialna_pl.decisions.jsonl`).
+  `src/clean_edukacja_medialna_pl.py` (reason `third_party_quote` in `artifacts/decisions.jsonl`).
   Two quote Wojciech Michera, credited to a University of Warsaw course
   (`montaz-materialu-filmowego`, `scenografia-charakteryzacja-kostiumy-i-aktorzy`); two reuse an
   exercise with six attributed quotations of named people (`kim-jestem-w-internecie`,
@@ -94,7 +94,7 @@ description.
 The records are CC BY-SA 3.0 works; the corpus is redistributed as CC BY-SA 4.0.
 
 - **Attribution, per record**: `author` in the parquet plus
-  `edukacja_medialna_pl.attribution.jsonl` — `authors` with `creator_roles`, `title`,
+  `artifacts/attribution.jsonl` — `authors` with `creator_roles`, `title`,
   `canonical_url`/`page_url`/`xml_url`, `publisher`, `created`, `license` +
   `license_url`, source `rights`/`rights_urls`, and
   `page_sha256`/`xml_sha256`/`text_sha256`. Enough to credit each document under
@@ -126,7 +126,7 @@ The source includes historically dated technology and legal guidance. Dates are
 
 ## Reproduction
 
-Install `src/requirements.txt`, decompress the contributor's `raw_xml.jsonl.gz` to a work directory as `raw_xml.jsonl`, and run the builder against the preserved inventory (`inventory.json`). Neither file is in this repository. Live acquisition creates a new source Version and must use a fresh work directory.
+Install `src/requirements.txt`, decompress `artifacts/raw_xml.jsonl.gz` to a work directory as `raw_xml.jsonl`, and run the builder against the preserved inventory. Live acquisition creates a new source Version and must use a fresh work directory.
 
 The builder yields the 252 records contributed in PR #26. The published shard is 248: after the build, run
 `python3 src/clean_edukacja_medialna_pl.py --input <dir> --out data/edukacja_medialna_pl`, where `<dir>` holds the
@@ -135,6 +135,10 @@ six builder outputs under their Dynaword names (`edukacja_medialna_pl.parquet`,
 "Third-party quotations" above and rewrites those six files, statistics included. It exits before writing
 anything unless the SHA-256 of every input file equals its pin in `INPUT_SHA256`, so a rebuild that is not
 byte-identical to PR #26 stops there instead of being filtered silently; it also exits unless the quotation
-markers match exactly the four ids in `DROP`. The PR #26 files predate the October 2026
-rights audit and are no longer published (main's history was squashed on 2026-10-22), so a rerun
-starts from the build above.
+markers match exactly the four ids in `DROP`. To rerun it from the PR #26 files without rebuilding, restore them
+and run the script with its defaults:
+
+```
+git checkout 5ec3e18 -- 'data/edukacja_medialna_pl/*.parquet' 'data/edukacja_medialna_pl/*.jsonl' 'data/edukacja_medialna_pl/*.json'
+python3 src/clean_edukacja_medialna_pl.py
+```