Add source: nkjp1m

.gitattributes

@@ -35,7 +35,6 @@ 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
@@ -59,6 +58,3 @@ data/samorzad_gov_pl/*.jsonl filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
-# Per-source audit trails: one rule for all sources, so source PRs don't edit this file
-data/*/*.attribution.jsonl filter=lfs diff=lfs merge=lfs -text
-data/*/*.decisions.jsonl filter=lfs diff=lfs merge=lfs -text

AGENTS.md

@@ -1,257 +0,0 @@
-# AGENTS.md
-
-Guidance for agents and contributors adding a source and cutting a release.
-Read this before opening a PR. Source PRs and releases are separate: a source PR
-adds one source with `release: None`; the maintainer later cuts one release that
-bumps the version and docs for every source merged since the last one.
-
-## How the docs are actually maintained
-
-`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 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
-restore anything it dropped or restamped.
-
-## Before you start: check the findings log
-
-`artifacts/source_findings.md` records sources already investigated, including
-the rejected ones and *why*. Check it before spending a day on a source someone
-already found to be blocked — and append your own finding there whether the
-answer was yes or no.
-
-## Add a source
-
-1. Produce the artifact under `data/<key>/`:
-   - `<key>.parquet` — built by `src/build_dynaword.py` (LFS-tracked automatically).
-   - `<key>.stats.json` — doc/token/char counts (drives all totals).
-   - `<key>.md` — datasheet (see below).
-2. Add the ingestion script: `src/fetch_<key>.py` or `src/clean_<key>.py`, so the
-   source is reproducible. `build_source` (build_dynaword.py) expects a
-   `<file_key|speakleash_key>.jsonl.zst` intermediate.
-3. Register the source in `src/sources.py` (`SOURCES`) — required, or make_docs
-   never sees it. Copy an existing entry's shape: `pretty`, `license`,
-   `license_spdx`, `traceable`, `upstream`, `domain`, `created`, `is_ocr`, and the
-   `speakleash_key`/`file_key`. If the datasheet is hand-authored (rich provenance
-   or a fixed add date), add `"custom_datasheet": True` so make_docs leaves it
-   alone.
-
-   Also set `added` (the real add date) and `release`. `release` is what admits a
-   source to a release's totals: `None` means "on main, not in any release yet",
-   which is the correct value for a new source until the release that ships it is
-   cut. Nothing is counted just because it has a `stats.json`.
-4. Add a contract test: `src/test_<key>_contract.py` (canonical schema, non-empty
-   text, positive token counts, uniform source/license, stats-file consistency).
-   Run `python3 -m pytest src/` before committing.
-
-### Keep the PR to your source
-
-Many source PRs are open at once, and each one that touches shared files
-conflicts with the others. A source PR changes only:
-
-- `data/<key>/*`, `src/fetch_<key>.py` / `src/clean_<key>.py`,
-  `src/test_<key>_contract.py`;
-- **one** new entry in `src/sources.py`, with `release: None`;
-- your entry appended to `artifacts/source_findings.md`.
-
-It does **not** touch `README.md`, `CHANGELOG.md`, `VERSION`/`RELEASE_DATE` in
-`src/make_docs.py`, the phrase-frequency report, `AGENTS.md`, or other sources'
-fetchers — those change in the release commit (below) or in their own PR.
-`.gitattributes` already LFS-tracks `data/*/*.attribution.jsonl` and
-`*.decisions.jsonl`; do not add per-file lines.
-Commit with LF line endings — a CRLF `sources.py` shows as a whole-file rewrite
-and conflicts with every other PR. Rebase onto `main` before asking for review.
-
-## What the PR must show
-
-These two are not optional — they are the difference between a source a reviewer
-can accept and one that sits in the queue. Treat every source PR as a worked
-example other contributors will copy.
-
-1. **A sample of the data, inline in the PR description.** A few real documents
-   (or truncated ones), verbatim, so a reviewer can see at a glance what kind of
-   text this actually is — prose, transcripts, boilerplate, OCR noise, HTML
-   leftovers. Include the metadata columns too, not just `text`. Don't make the
-   reviewer download a parquet to find out — and a linked `.sample.jsonl` is not
-   a substitute: on the Hub it renders as one escaped line per document.
-
-   Generate it from the built shard and paste the output into the PR description:
-   ```bash
-   python3 src/render_sample.py data/<key>/<key>.parquet -n 3
-   ```
-   Each document is a fenced block — metadata as `key: value` lines, a blank
-   line, then the text with its real line breaks, truncated with `[…]`:
-   ````
-   ```
-   id: sejm_interpellations_2388
-   source: sejm_interpellations
-   added: 2026-07-19
-   token_count: 415
-   license: public-domain (official documents)
-   author: Daniel Milewski
-
-   Szanowny Panie Ministrze,
-
-   latem 2022 roku na podlaskiej części granicy z Białorusią ukończono […]
-   ```
-   ````
-   Pick rows that show the typical document; if the source has distinct
-   document types (question vs reply, article vs talk page), show one of each.
-
-2. **Provenance and licensing, written out in the datasheet (`data/<key>/<key>.md`)
-   and summarized in the PR description:**
-   - Where the data comes from — the concrete origin (institution, portal, API,
-     dump), not just a domain name. Link it.
-   - Under what license, and **where that license statement lives** — link the
-     exact terms-of-use page, API docs section, or statute. "Public domain
-     because it's government data" is a claim, not a source; cite the provision.
-   - What the texts are — genre, register, time span, language variety, whether
-     they are OCR'd, machine-translated, or user-generated.
-   - How it was collected and filtered — dedup, minimum length, language ID,
-     anything dropped and why.
-   - The argument for inclusion — what this adds that the corpus does not
-     already have, and any known bias or quality caveat a downstream user should
-     weigh.
-
-Yes, this is meta work on top of the fetching. That is the point: the datasheet
-is the artifact other people read to learn how to contribute well.
-
-## Normalize the text before you build
-
-`build_dynaword.py` applies only *minimal gates* — strip, `len < 200`, Polish
-diacritic ratio, OCR alpha ratio, exact sha1 dedup. It does **not** clean text.
-`src/normalize_schema.py` is a schema/stats tool despite the name; it never
-touches `text`. So normalization is the fetcher's job, and today each fetcher
-reimplements it (`fetch_govpl.py:43` and `fetch_saos.py:42` carry byte-identical
-`html_to_text`; `clean_samorzad_gov_pl.py:65` a third variant). If you are
-writing a new fetcher, factor the shared parts out rather than pasting a fourth
-copy.
-
-What a fetcher should do to `text` before writing the `.jsonl.zst`:
-
-- **Unicode**: NFKC normalize. Map non-breaking/thin/zero-width spaces to plain
-  space (or drop), strip control characters and soft hyphens, normalize the
-  quote/dash/ellipsis zoo. Repair mojibake if the upstream encoding is unreliable.
-- **Whitespace**: collapse runs of spaces/tabs, trim per line, cap blank runs at
-  one empty line. Do not flatten paragraph breaks — they carry structure.
-- **Structural junk**: navigation, cookie banners, "share this", pagination,
-  footnote back-references, and — for OCR/PDF sources — page headers/footers,
-  running titles, and hyphenation split across line breaks.
-- **Numbering**: strip standalone chapter/section/page numbers and repeated
-  heading numerals (`1.`, `Art. 5.`, `Rozdział III`) *only where they are layout
-  artifacts*. In `dziennik_ustaw` or `saos` the article numbering is content —
-  removing it destroys the document. Judge per source, and say what you did in
-  the datasheet.
-- **Boilerplate**: near-identical blocks repeated across most documents of a
-  source (license footers, institutional disclaimers, "Pokaż odpowiedź"-style UI
-  chrome) should be detected by frequency across the shard and removed, not
-  hand-listed.
-- **Personal data**: do not keep a scrubber in this repo. Apply
-  [`SlayerLab/NERGAL`](https://huggingface.co/SlayerLab/NERGAL) before the
-  parquet is written (frozen regex ∪ model; placeholders `[PII]` / `[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.
-  Say in the datasheet which scrubber ran. Note that `main` is public on the Hub
-  whether or not a source is released.
-
-Two rules about all of the above:
-
-1. **The normalization must live in the committed fetch/clean script**, so the
-   shard is reproducible. A shard whose datasheet describes a cleaning step that
-   no script in `src/` performs is not reproducible, however good the intent.
-2. **Report it in the datasheet**: which steps ran, and what the gates dropped.
-   Include a handful of before/after excerpts in the PR — this is the fastest way
-   for a reviewer to see whether normalization ate real content.
-
-## Cut the release (maintainer, one commit after the source PRs merge)
-
-0. In `src/sources.py`, set `release` on each merged source this release ships
-   (check its shard went through NERGAL first).
-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. 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.
-
-## Push to Hugging Face
-
-`origin` is the Hub itself
-(`https://huggingface.co/datasets/SlayerLab/polish-dynaword`) — there is no GitHub
-remote. `git push` authenticates through the git credential helper (macOS:
-`osxkeychain`), which is separate from `hf auth login`: pushes can work fine while
-`hf auth whoami` still reports "Not logged in". The Python API and `hf` CLI need
-the login (or `HF_TOKEN`).
-
-Hub pull requests use no forks and no named branches. A PR *is* the ref
-`refs/pr/N` and the Hub assigns `N`, so you cannot open one by pushing — the ref
-has to exist first. (Plain branches can be pushed, but a branch is not a PR and
-nobody reviews it.)
-
-Open a PR for work already committed locally:
-
-```bash
-# 1. create the empty PR (needs the write token)
-python3 -c "
-from huggingface_hub import HfApi
-pr = HfApi().create_pull_request(
-    'SlayerLab/polish-dynaword', repo_type='dataset',
-    title='<title>', description='<what changed and why>')
-print(pr.num, pr.url)"
-
-# 2. push your local branch onto that ref
-git push origin <local-branch>:refs/pr/<N>
-```
-
-Opened this way the PR starts in **draft** — publish it from the web UI.
-
-Pick up an existing PR (42 here):
-
-```bash
-GIT_LFS_SKIP_SMUDGE=1 git -c fetch.negotiationAlgorithm=noop fetch origin refs/pr/42:pr/42
-git checkout pr/42
-git push origin pr/42:refs/pr/42
-```
-
-The `noop` negotiation is needed: for some refs the Hub fails the have/ack
-exchange (`fatal: expected 'acknowledgments'`), and skipping it makes the server
-send the full history instead. `GIT_LFS_SKIP_SMUDGE=1` keeps it to pointers;
-pull a single blob with `git lfs pull --include <path>`.
-
-`repo_type='dataset'` is required on every `huggingface_hub` call — this is a
-dataset repo, not a model. Push straight to `main` only when cutting a release.
-
-## Do not commit
-
-`*.log` (fetch/build logs), `.DS_Store`, `src/__pycache__/`. Only `logs/` is in
-`.gitignore` — root-level logs and OS cruft are not, so check `git status`
-before staging. `*.parquet` is LFS-tracked; commit the pointer, not the blob.
-
-## Known drift / cleanup opportunities
-
-- `europeana` is in `SOURCES` but has no `data/` shard anywhere, and
-  `parlamint_pl` has one only in some working trees — it is not committed.
-  make_docs skips both with `! no stats`. Intentional placeholders or stale —
-  confirm before relying on `build_dynaword.py --all`.

CHANGELOG.md

@@ -1,131 +1,48 @@
-# Changelog
-
-## Unreleased (on main)
-
-- `wiktionary_examples` and `sejm_api` are built, documented and present on
-  the main branch but have never been admitted to a stable release.
-  They are excluded from every release total until a release entry admits them.
-  The registry records this as `release: None` in `src/sources.py`; release
-  totals count only sources whose `release` is set and not newer than the
-  version being documented.
-
-## v0.2.5 (2026-08-14)
-
-- Added the community contribution `samorzad_gov_pl` by Dawid Majewski
-  (`dawidmajewski`): 72,771 Polish articles / 41,154,506 cl100k-proxy tokens
-  from 246 local public institutions and one central platform tenant using the
-  shared samorzad.gov.pl platform.
-- Converted the published, directly collected source dataset at revision
-  `d5eaefc32c3f17cfa5a01d14573f8e4ee7d43385`; retained 72,771 of 81,422
-  records after dropping 6,624 short, 35 below the Polish-language heuristic
-  and 1,992 exact-duplicate records.
-- Preserved the human-readable publishing institution in every `author` value.
-  Added a 72,771-record attribution sidecar with discovered source URLs,
-  fetched final URLs, recommended attribution URLs, titles, institution names,
-  license URLs and modification notices.
-- Added the frozen 247-institution publisher manifest, reproducible conversion
-  script, contract tests, source datasheet, NOTICE and release-time license
-  evidence. The live shared footer script matched the audited SHA-256
-  `b36ec507901ed443195479d8d8009386159ae59d7486ce266bfb3308043e99aa`.
-- Recomputed complete-corpus totals: 4,319,200 documents and 9,639,062,573
-  cl100k-proxy tokens across 18 sources.
-
-## v0.2.4 (2026-08-07)
-
-- Expanded `european_hplt_v3_pl` (Arkadiusz Słota / `Maggio33`) from HPLT v3.0
-  WDS quality bins 10+9 to **WDS bins 10-5**: +1,493,384 documents /
-  2,043,141,874 cl100k-proxy tokens, 100% CC0-1.0. The source total is now
-  1,603,974 documents / 2,555,525,652 tokens.
-- Phone PII-scrub hardening (v12b): an independent-lens deep verification caught
-  a systematic phone recall-gap (~1,900 real phone numbers) that the pipeline's
-  self-report (idempotency) was structurally blind to — address-block
-  suppression, `dzwoń`-label family, leading-0 landline, `+48`-paren,
-  newline-over-span and foreign-UK-bare formats. Fixed and dual-independently
-  verified; the residual 0.0135% is a classified clearance-tail. Phones map to a
-  `[Telefon]` semantic tag (anti-poisoning, not a fake number).
-- Cross-source deduplication of the expansion against the existing WDS-10+9
-  shards: removed 3,038 near-duplicate documents (truncation variants);
-  exact-dup 0, near-dup overlap 0.0000% (byte-verified). Resolves the
-  "downstream near-dedup remains" caveat from the original release.
-- Contract-revalidated the merged parquet (canonical schema, non-empty text,
-  positive token counts, uniform source/license, stats-file consistency).
-- Expanded contributor credit for Arkadiusz Słota (`Maggio33`) for the WDS 10-5
-  expansion, PII-scrub and dedup work.
-- Updated the complete-corpus release totals from per-source parquet stats:
-  4,246,429 documents and 9,597,908,067 cl100k-proxy tokens across 17 sources
-  (also reflects the separately-merged `biblioteka_nauki` source now present on
-  main).
-
-## v0.2.3 (2026-07-26)
-
-- Added the community contribution `european_hplt_v3_pl` by Arkadiusz Słota
-  (`Maggio33`): HPLT v3.0 Polish WDS quality bins 10+9, 110,590 documents and
-  512,383,778 cl100k-proxy tokens under CC0-1.0 packaging.
-- Added the reviewed `global_voices` contribution by Dawid Majewski
-  (`dawidmajewski`): 2,040 documents / 3,715,020 tokens with CC-BY-3.0 and
-  per-document author attribution metadata.
-- Added `nkjp1m` from contributor `1am`: 18,381 documents / 2,601,201 tokens
-  from the manually annotated 1-million-word NKJP subcorpus under the upstream
-  version-unspecified CC-BY statement.
-- Revalidated the contributed parquet against the canonical schema, non-empty
-  text, positive token counts, uniform source/license metadata, and stats-file
-  consistency.
-- Updated the complete 16-source release totals from per-source parquet stats:
-  2,710,974 documents and 6,881,277,362 cl100k-proxy tokens.
-- Recomputed the full-corpus phrase-frequency report and charts. Updated the
-  Arrow reporting path to use 64-bit string offsets for large row groups.
-- Fixed `src/test_hplt_v3_contract.py` to resolve its fixture relative to the
-  repository instead of a contributor-local Windows path.
-- Added public contributor credit for Arkadiusz Słota (`Maggio33`) and Paweł
-  Puzio (`ppuzio`, author of the `govpl` contribution released in v0.2.2), plus
-  Dawid Majewski (`dawidmajewski`) for Global Voices Polish.
-- HPLT caveat: CC0 applies to the HPLT packaging; underlying web documents can
-  carry independent rights. Downstream near-dedup and web-content review remain
-  recommended before training.
-
-## v0.2.2 (2026-07-19)
-
-- Added `govpl` — gov.pl Polish government press releases (CC-BY-SA-4.0),
-  88,190 documents / 80.7M tokens, fetched directly from gov.pl across 133
-  ministry/agency subsites. New scripts: `src/discover_govpl.py` (discovers each
-  subsite's news-section path into the committed `src/govpl_subsites.json`
-  manifest) and `src/fetch_govpl.py` (pure-stdlib crawl of that manifest).
-- Stable totals after adding govpl: 13 sources, 2,579,963 docs, 6.36B tokens
-  (tiktoken proxy).
-- Article date range 2005-09-26 → 2026-07-19. Build dropped 24 non-Polish and
-  deduped 1,926 cross-posted articles (exact sha1).
-
-## v0.3.1-preview (2026-07-10)
-
-- Added a separate 810-document Europeana direct-ingestion preview parquet at
-  `previews/v0.3.1/europeana.parquet`. It was built from 1,000 live API records
-  using per-record rights/creator metadata in 59.4 seconds; 808 retained records are Public
-  Domain Mark and two are CC-BY-SA-4.0.
-- The direct source gate dropped 181 non-Polish and nine OCR-garble records.
-  `dsbench` found unique IDs, no empty text, no duplicate text and no eval-set
-  overlap. Potential-phone matches remain warnings for manual review.
-- This preview does not change v0.2.1 stable totals or promote Europeana to a
-  stable source. It is the measured contract for the full rights-preserving run.
-
-## v0.3.0-preview (in progress)
-
-- Validated the source-policy gate on live local SpeakLeash shards: 12 reviewed
-  sources sampled and cleared blocking checks; four sources remain excluded and
-  two talk-page shards remain on hold pending a separate policy.
-- Ran a direct Europeana 200-record rebuild probe with per-record rights and
-  creator metadata: 197 Public Domain Mark and three CC-BY-SA-4.0 records
-  cleared blocking validation. This is candidate validation, not a release
-  inclusion.
-- Biblioteka Nauki direct probe currently returns HTTP 500 and is held out of
-  the preview until the upstream request is repaired and audited.
-
-## v0.2.1 (2026-07-02)
-
-- Released a stable metadata-schema update: `id, text, source, added, created, token_count, license, author`.
-- Current release totals after parquet recount: 12 sources, 2,491,773 docs, 6.28B tokens (tiktoken proxy).
-- Added `1000_novels` as a stable CC-BY-4.0 literature source.
-- Added source registry entries and PR contract for future `biblioteka_nauki` and `europeana` ingestion with per-document license/author metadata. These sources are not included in v0.2.1 parquets yet.
-- Credited Bart Kobyliński for source expansion work on Biblioteka Nauki and Europeana metadata/rebuild preparation.
-- Kept raw SpeakLeash Europeana excluded unless a direct rebuild preserves per-record rights metadata.
-- Sources: eurlex, parliamentary, wikisource, wikipedia, dziennik_ustaw, wolne_lektury, 1000_novels, wikiquote, eltec_pol, wikivoyage, wikibooks, wikinews.
-- Excluded (see README): open_subtitles_corpus, europeana_eu_pl_corpus_raw_speakleash, project_gutenberg_pl_corpus.
+# Changelog
+
+## v0.2.2 (2026-07-19)
+
+- Added `govpl` — gov.pl Polish government press releases (CC-BY-SA-4.0),
+  88,190 documents / 80.7M tokens, fetched directly from gov.pl across 133
+  ministry/agency subsites. New scripts: `src/discover_govpl.py` (discovers each
+  subsite's news-section path into the committed `src/govpl_subsites.json`
+  manifest) and `src/fetch_govpl.py` (pure-stdlib crawl of that manifest).
+- Stable totals after adding govpl: 13 sources, 2,579,963 docs, 6.36B tokens
+  (tiktoken proxy).
+- Article date range 2005-09-26 → 2026-07-19. Build dropped 24 non-Polish and
+  deduped 1,926 cross-posted articles (exact sha1).
+
+## v0.3.1-preview (2026-07-10)
+
+- Added a separate 810-document Europeana direct-ingestion preview parquet at
+  `previews/v0.3.1/europeana.parquet`. It was built from 1,000 live API records
+  using per-record rights/creator metadata in 59.4 seconds; 808 retained records are Public
+  Domain Mark and two are CC-BY-SA-4.0.
+- The direct source gate dropped 181 non-Polish and nine OCR-garble records.
+  `dsbench` found unique IDs, no empty text, no duplicate text and no eval-set
+  overlap. Potential-phone matches remain warnings for manual review.
+- This preview does not change v0.2.1 stable totals or promote Europeana to a
+  stable source. It is the measured contract for the full rights-preserving run.
+
+## v0.3.0-preview (in progress)
+
+- Validated the source-policy gate on live local SpeakLeash shards: 12 reviewed
+  sources sampled and cleared blocking checks; four sources remain excluded and
+  two talk-page shards remain on hold pending a separate policy.
+- Ran a direct Europeana 200-record rebuild probe with per-record rights and
+  creator metadata: 197 Public Domain Mark and three CC-BY-SA-4.0 records
+  cleared blocking validation. This is candidate validation, not a release
+  inclusion.
+- Biblioteka Nauki direct probe currently returns HTTP 500 and is held out of
+  the preview until the upstream request is repaired and audited.
+
+## v0.2.1 (2026-07-02)
+
+- Released a stable metadata-schema update: `id, text, source, added, created, token_count, license, author`.
+- Current release totals after parquet recount: 12 sources, 2,491,773 docs, 6.28B tokens (tiktoken proxy).
+- Added `1000_novels` as a stable CC-BY-4.0 literature source.
+- Added source registry entries and PR contract for future `biblioteka_nauki` and `europeana` ingestion with per-document license/author metadata. These sources are not included in v0.2.1 parquets yet.
+- Credited Bart Kobyliński for source expansion work on Biblioteka Nauki and Europeana metadata/rebuild preparation.
+- Kept raw SpeakLeash Europeana excluded unless a direct rebuild preserves per-record rights metadata.
+- Sources: eurlex, parliamentary, wikisource, wikipedia, dziennik_ustaw, wolne_lektury, 1000_novels, wikiquote, eltec_pol, wikivoyage, wikibooks, wikinews.
+- Excluded (see README): open_subtitles_corpus, europeana_eu_pl_corpus_raw_speakleash, project_gutenberg_pl_corpus.

README.md

@@ -1,495 +1,365 @@
----
-license: cc-by-sa-4.0
-language:
-- pl
-pretty_name: Polish DynaWord
-task_categories:
-- text-generation
-size_categories:
-- 1M<n<10M
-tags:
-- polish
-- pretraining
-- dynaword
----
-
-# Polish 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)).
-
-> **v0.2.5 stable** · 4,319,200 documents · **9.64B tokens**
-> (tiktoken proxy; canonical Llama-3 count at release) · 18 sources
-> Updated: **2026-08-14**
-
-> **v0.3-dev experimental track** · quality/diversity workflow, source-gate
-> validation and candidate-data audits. This is development work, not a released
-> corpus version, and it does not replace the v0.2.5 stable parquets.
-
-> **Europeana validation artifact (2026-07-10)** · a separate reproducible
-> 810-document direct-ingestion sample stored under the legacy path
-> `previews/v0.3.1/europeana.parquet`. It is not a full dataset release.
-
-## Releases
-
-### Stable releases
-
-| version | status | documents | tokens | notes |
-|---|---|---:|---:|---|
-| `v0.2.5` | stable release | 4,319,200 | 9.64B | Adds community-contributed `samorzad_gov_pl` with institution-level author attribution and a URL-bearing attribution sidecar. |
-| `v0.2.4` | previous stable | 4,246,429 | 9.60B | Expanded `european_hplt_v3_pl` to WDS bins 10-5 (+1.49M docs / 2.04B tok); phone PII-scrub hardening (independent dual-lens) + cross-source dedup (zero-overlap). |
-| `v0.2.3` | previous stable | 2,710,974 | 6.88B | Adds community-contributed `european_hplt_v3_pl`, `global_voices` and `nkjp1m`. |
-| `v0.2.2` | previous stable | 2,579,963 | 6.36B | Added community-contributed `govpl`: 88,190 docs / 80.7M tokens. |
-| `v0.2.1` | previous stable | 2,491,773 | 6.28B | 12-source corpus with `license` and `author` metadata columns; added `1000_novels`. |
-| `v0.2.0` | previous stable | 2,490,773 | 6.22B | Provenance-first corpus from 11 open/official sources. |
-
-![Stable dataset size by version](artifacts/dataset_size_by_version.png)
-
-### Development and validation artifacts
-
-| name | type | scope | notes |
-|---|---|---|---|
-| `v0.3-dev` | experimental development track | workflow and candidate audits | Quality remix, legal-source caps, source QA, deduplication and direct-upstream ingestion. Not a corpus release. |
-| `Europeana validation artifact 2026-07-10` | reproducible sample | 810 documents / 140,042 tokens | Stored at the legacy path `previews/v0.3.1/europeana.parquet`; preserves per-record rights and creator metadata. Not a corpus release. |
-
-### Version details
-
-#### v0.2.5 — current stable
-
-Added `samorzad_gov_pl`: **72,771 documents / 41,154,506 cl100k-proxy
-tokens** from 246 Polish local public institutions and one central platform
-tenant. The contribution preserves the publishing institution as `author`,
-discovered and fetched article URLs in an attribution sidecar and the verified
-platform-wide CC-BY-SA-4.0 basis.
-
-#### v0.2.4 — previous stable
-
-Expanded `european_hplt_v3_pl` from WDS bins 10+9 to **WDS bins 10-5** (added
-quality bins 8/7/6/5 and further WDS-9 shards): **+1,493,384 documents /
-2,043,141,874 cl100k-proxy tokens**, 100% CC0-1.0. Includes a phone PII-scrub
-hardening pass (v12b) verified by two independent lenses (a systematic
-recall-gap masked by pipeline self-report was caught pre-release), and
-cross-source deduplication against the existing WDS-10+9 shards (exact-dup 0,
-near-dup overlap 0.0000%, byte-verified) — resolving the "downstream near-dedup
-remains" caveat from the original release.
-
-#### v0.2.3 — previous stable
-
-Community expansion release. Adds `european_hplt_v3_pl` from
-[PR #5](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/5)
-and `global_voices` from
-[PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7),
-plus `nkjp1m` from
-[PR #8](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/8).
-The complete 16-source release contains **2,710,974 documents /
-6,881,277,362 cl100k-proxy tokens**, summed from the released per-source parquet
-statistics.
-
-#### v0.2.2 — previous stable
-
-Added `govpl` from
-[PR #9](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/9):
-88,190 Polish government press releases collected directly from 133 gov.pl
-ministry and agency subsites.
-
-#### v0.2.1 — previous stable
-
-Introduced the canonical eight-column release schema:
-`id, text, source, added, created, token_count, license, author`. Added
-`1000_novels` from
-[PR #1](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/1)
-and recomputed all release statistics from parquet files.
-
-#### v0.2.0 — initial stable corpus
-
-The provenance-first baseline: 11 reviewed open or official sources,
-2,490,773 documents and 6.22B proxy tokens.
-
-#### v0.3-dev — experimental quality workflow
-
-Candidate-only work on a better-balanced training mixture: legal-source caps,
-temperature sampling, source QA, deduplication and direct-upstream ingestion.
-It is not a replacement for the stable corpus.
-
-#### Europeana validation artifact — 2026-07-10
-
-A separate reproducible 810-document Europeana sample preserving per-record
-rights and creator metadata. It does not change stable-release totals.
-`v0.3.1-preview` remains only as the legacy storage-path label.
-
-## What this dataset contributes
-The raw texts come from 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`.
-3. **Documentation** — a datasheet per source (Gebru et al. 2021) + this card,
-   so provenance and licensing are auditable rather than assumed.
-4. **Reproducibility & versioning** — `src/` rebuilds the corpus from sources;
-   new sources and removals are tracked in the CHANGELOG.
-
-Credit for the underlying texts belongs to the upstream sources and to SpeakLeash
-as the redistributing aggregator; this release does not claim ownership of them
-(see Disclaimer).
-
-## Contributors
-
-| contributor | contribution | release / PR |
-|---|---|---|
-| [Kacper Wikieł](https://huggingface.co/kacperwikiel) | Project maintainer; corpus curation, source and license review, release engineering, documentation, validation and reproducible build workflow. | all releases |
-| [Bart Kobyliński](https://huggingface.co/bartoszkobylinski1) | Added `1000_novels`; expanded Biblioteka Nauki and Europeana ingestion with per-document license and author metadata. | `v0.2.1`, [PR #1](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/1) |
-| [Paweł Puzio](https://huggingface.co/ppuzio) | Built `govpl`: subsite discovery, direct ingestion pipeline, dataset artifact, contract tests and documentation. | `v0.2.2`, [PR #9](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/9) |
-| [Arkadiusz Słota](https://huggingface.co/Maggio33) | Built & expanded `european_hplt_v3_pl`: HPLT v3 WDS 10+9 (PR #5) then WDS 10-5 expansion (+1,493,384 docs / 2.04B tok), modular cleaning pipeline, phone-recall PII-scrub (v12b, independent dual-lens), cross-source dedup-vs-base (zero-overlap), validation and documentation. | `v0.2.3` (PR #5), `v0.2.4` |
-| [Dawid Majewski](https://huggingface.co/dawidmajewski) | Added the reviewed Global Voices Polish corpus; built `samorzad_gov_pl` with direct acquisition, institution attribution, licensing evidence, release artifact and reproducible conversion. | `v0.2.3`, [PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7); `v0.2.5` |
-| [1am](https://huggingface.co/1am) | Added `nkjp1m`: the manually annotated 1-million-word NKJP subcorpus, direct fetch/build pipeline, source documentation and release artifact. | `v0.2.3`, [PR #8](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/8) |
-
-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* 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.
-
-## Sources
-| source | description | license | documents | tokens |
-|---|---|---|---:|---:|
-| [european_hplt_v3_pl](data/european_hplt_v3_pl/european_hplt_v3_pl.md) | HPLT v3.0 Polish (web, top WDS bins 10-5) | `CC0-1.0` | 1,603,974 | 2,555.5M |
-| [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `CC-BY-4.0` | 243,060 | 2,378.1M |
-| [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 324,622 | 1,646.8M |
-| [wikisource](data/wikisource/wikisource.md) | Polish Wikisource | `CC-BY-SA-3.0` | 632,005 | 801.9M |
-| [wikipedia](data/wikipedia/wikipedia.md) | Polish Wikipedia | `CC-BY-SA-3.0` | 1,171,897 | 707.2M |
-| [biblioteka_nauki](data/biblioteka_nauki/biblioteka_nauki.md) | Biblioteka Nauki | `per-record upstream license` | 42,071 | 673.5M |
-| [dziennik_ustaw](data/dziennik_ustaw/dziennik_ustaw.md) | Dziennik Ustaw + Monitor Polski (Polish primary legislation) | `public-domain (official documents)` | 35,442 | 486.1M |
-| [wolne_lektury](data/wolne_lektury/wolne_lektury.md) | Wolne Lektury (school readings) | `CC-BY-SA-4.0 / Wolna Sztuka 1.3` | 6,141 | 103.0M |
-| [govpl](data/govpl/govpl.md) | gov.pl — Polish government press releases | `CC-BY-SA-4.0` | 88,190 | 80.7M |
-| [1000_novels](data/1000_novels/1000_novels.md) | 1000 Novels Corpus (CLARIN-PL) | `CC-BY-4.0` | 1,000 | 60.5M |
-| [samorzad_gov_pl](data/samorzad_gov_pl/samorzad_gov_pl.md) | samorzad.gov.pl — Polish public-sector institutions | `CC-BY-SA-4.0` | 72,771 | 41.2M |
-| [wikiquote](data/wikiquote/wikiquote.md) | Polish Wikiquote (quotations) | `CC-BY-SA-3.0` | 30,363 | 31.9M |
-| [eltec_pol](data/eltec_pol/eltec_pol.md) | ELTeC-pol (European Literary Text Collection, Polish) | `CC-BY-4.0` | 100 | 21.5M |
-| [wikivoyage](data/wikivoyage/wikivoyage.md) | Polish Wikivoyage (travel guides) | `CC-BY-SA-3.0` | 13,645 | 17.1M |
-| [wikibooks](data/wikibooks/wikibooks.md) | Polish Wikibooks (open textbooks) | `CC-BY-SA-3.0` | 9,112 | 15.6M |
-| [wikinews](data/wikinews/wikinews.md) | Polish Wikinews | `CC-BY-2.5` | 24,386 | 12.1M |
-| [global_voices](data/global_voices/global_voices.md) | Global Voices Polish | `CC-BY-3.0` | 2,040 | 3.7M |
-| [nkjp1m](data/nkjp1m/nkjp1m.md) | The manually annotated 1-million word subcorpus of the National Corpus of Polish | `CC-BY` | 18,381 | 2.6M |
-| **total** | | | **4,319,200** | **9,639.1M** |
-
-## Sources on main, not yet released
-Built and documented, but **not** part of v0.2.5 and excluded from every total above. They join a release when a CHANGELOG entry admits them.
-
-| source | description | license | documents | tokens |
-|---|---|---|---:|---:|
-| [sejm_api](data/sejm_api/sejm_api.md) | Sejm API parliamentary speeches (2023 onward) | `public-domain (official documents)` | 38,812 | 36.3M |
-| [wiktionary_examples](data/wiktionary_examples/wiktionary_examples.md) | Polish Wiktionary usage examples | `CC-BY-SA-3.0` | 8,639 | 1.1M |
-
-## Method
-Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
-data. Gates are intentionally minimal (drop short docs, non-Polish, exact duplicates,
-OCR garble); heavy quality filtering and mix-weighting are left to downstream training.
-Evaluation-set decontamination is applied/marked separately. Schema:
-`id, text, source, added, created, token_count, license, author`. The `license`
-and `author` columns are per-document metadata when upstream exposes them; older
-sources use the source-level license and an empty author field.
-
-## v0.3 quality roadmap and current status
-
-The v0.2.x raw corpus is intentionally provenance-first, but its token mix is too
-heavy in legal/parliamentary language for natural general pretraining. The v0.3
-workflow therefore separates **source inclusion** from **training mix**:
-
-- cap `eurlex + parliamentary + dziennik_ustaw` to roughly **10-20%** of training
-  tokens combined;
-- use source-level temperature sampling (`sqrt`, alpha `0.5`) instead of raw
-  token-proportional sampling;
-- add traceably licensed contemporary/natural Polish: open web, academic prose,
-  cultural heritage text, guides, technical documentation/blogs, Q&A, and
-  dialogue/instruction data;
-- run aggressive exact, normalized, and near-duplicate removal;
-- reserve the final **5-15%** of training for higher-quality sources rather than
-  the largest sources;
-- evaluate per-source perplexity and style contamination, not only global loss.
-
-Current v0.3 source-ingestion status:
-
-- `biblioteka_nauki`: included 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 legal review.
-- `european_hplt_v3_pl`: WDS bins 10-5 are included in v0.2.5 after contract
-  validation. HPLT packaging is CC0, while underlying crawled web documents can
-  carry independent rights; downstream near-dedup and web-content review remain
-  recommended before training.
-
-Current review artifacts:
-
-- `configs/source_candidates_v0_3.json` — candidate decisions and license policy.
-- `artifacts/source_license_review_v0_3.md` — source-by-source license review.
-- `artifacts/source_candidate_audit_v0_3.md` — generated Hugging Face metadata audit.
-- `artifacts/training_mix_v0_3.md` — example 1B-token training mix with legal sources capped at 15%.
-- `artifacts/bartek_source_ingestion_plan_2026-07-02.md` — PR contract for
-  Biblioteka Nauki and Europeana ingestion.
-
-## Excluded sources (transparency)
-Sources we reviewed and **deliberately left out** — part of the curation:
-
-| source | reason |
-|---|---|
-| `open_subtitles_corpus` | Derivative of copyrighted film/TV dialogue; OpenSubtitles uploads largely unlicensed. Same copyright lesson as Danish Gigaword's OpenSubtitles (paper 2508.02271). Not openly licensed. |
-| `europeana_eu_pl_corpus_raw_speakleash` | Aggregated items with mixed per-record rights (PD / CC-BY-NC / rights-reserved). The raw SpeakLeash redistribution is excluded; only a direct rebuild preserving per-record rights metadata may be included. |
-| `1000_novels_corpus_CLARIN-PL` | CC-BY-4.0 label, but 'novels' likely include in-copyright contemporary works; verify titles/years on CLARIN handle 11321/312 before inclusion. |
-| `project_gutenberg_pl_corpus` | Only 31 PL books (4.3MB) — PG is ~99% English; Polish PD literature already covered by wolne_lektury + wikisource (so near-redundant after dedup). Dropped to avoid the PD-in-EU per-work check (PG claims PD-in-US only) for negligible token gain. |
-
-## Personal & sensitive data
-This corpus contains **only** text that its upstream sources already published
-under open licenses or as official public-domain record. It therefore includes
-names and statements of **public figures acting in a public capacity** — e.g.
-parliamentary speakers (PPC), authorities named in legal acts (EUR-Lex), and
-people described in encyclopedic articles (Wikipedia/Wikisource). No private,
-non-public personal data was collected or added. If you are a data subject and
-want content concerning you removed, contact **k.wikiel@gmail.com** — it will be dropped
-from the next version (see retroactive-removal policy below).
-
-## Disclaimer & legal
-- **Provenance in good faith.** Per-source 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 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
-Released under **CC-BY-SA-4.0** (copyleft inherited from CC-BY-SA sources such as
-Wikipedia/Wikisource/Wolne Lektury). Attribution due to each upstream (see datasheets)
-and to **SpeakLeash** as the intermediate aggregator. Retroactive-removal policy: a
-source that raises an objection is dropped from subsequent versions, recorded in the
-CHANGELOG.
-
-## Reproduce
-```bash
-python3 src/build_dynaword.py --all --speakleash-dir <speakleash_zst_dir> --out .
-python3 src/make_docs.py
-```
-
-## Results
-
-### Corpus phrase frequency (normalized by tokens)
-
-Raw counts and token-normalized shares are regenerated from the current Parquet files with `src/pattern_frequency_report.py`.
-
-- Total token count (tiktoken proxy): **9,639,062,573**
-
-| Pattern | Count | Share of all tokens |
-|---|---:|---:|
-| `w roku` | 585,072 | 0.0061% |
-| `klasyfikacji` | 164,757 | 0.0017% |
-| `ustawa` | 659,103 | 0.0068% |
-| `artykuł` | 2,416,361 | 0.0251% |
-| `parlament` | 1,285,792 | 0.0133% |
-| `rozporządzenie` | 1,527,456 | 0.0158% |
-| `w pobliżu` | 127,784 | 0.0013% |
-| `mieszkańców` | 476,710 | 0.0049% |
-| `Dz.U.` | 987,048 | 0.0102% |
-
-### Per-source shares
-
-| source | pattern | count | share of source tokens |
-|---|---|---:|---:|
-| `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% |
-| `dziennik_ustaw` | `artykuł` | 27,773 | 0.00571% |
-| `dziennik_ustaw` | `parlament` | 42,338 | 0.00871% |
-| `dziennik_ustaw` | `rozporządzenie` | 166,383 | 0.03423% |
-| `dziennik_ustaw` | `w pobliżu` | 1,087 | 0.00022% |
-| `dziennik_ustaw` | `mieszkańców` | 8,025 | 0.00165% |
-| `dziennik_ustaw` | `Dz.U.` | 158 | 0.00003% |
-| `eltec_pol` | `w roku` | 108 | 0.00050% |
-| `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
-| `eltec_pol` | `ustawa` | 153 | 0.00071% |
-| `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` | 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` | 3,372 | 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% |
-| `nkjp1m` | `artykuł` | 153 | 0.00588% |
-| `nkjp1m` | `parlament` | 216 | 0.00830% |
-| `nkjp1m` | `rozporządzenie` | 20 | 0.00077% |
-| `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
-| `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
-| `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
-| `parliamentary` | `w roku` | 198,192 | 0.01203% |
-| `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
-| `parliamentary` | `ustawa` | 459,179 | 0.02788% |
-| `parliamentary` | `artykuł` | 182,038 | 0.01105% |
-| `parliamentary` | `parlament` | 309,695 | 0.01881% |
-| `parliamentary` | `rozporządzenie` | 113,547 | 0.00689% |
-| `parliamentary` | `w pobliżu` | 4,964 | 0.00030% |
-| `parliamentary` | `mieszkańców` | 78,048 | 0.00474% |
-| `parliamentary` | `Dz.U.` | 23,809 | 0.00145% |
-| `samorzad_gov_pl` | `w roku` | 3,661 | 0.00890% |
-| `samorzad_gov_pl` | `klasyfikacji` | 520 | 0.00126% |
-| `samorzad_gov_pl` | `ustawa` | 1,823 | 0.00443% |
-| `samorzad_gov_pl` | `artykuł` | 1,269 | 0.00308% |
-| `samorzad_gov_pl` | `parlament` | 1,218 | 0.00296% |
-| `samorzad_gov_pl` | `rozporządzenie` | 1,409 | 0.00342% |
-| `samorzad_gov_pl` | `w pobliżu` | 401 | 0.00097% |
-| `samorzad_gov_pl` | `mieszkańców` | 14,450 | 0.03511% |
-| `samorzad_gov_pl` | `Dz.U.` | 1,380 | 0.00335% |
-| `wikibooks` | `w roku` | 319 | 0.00205% |
-| `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
-| `wikibooks` | `ustawa` | 165 | 0.00106% |
-| `wikibooks` | `artykuł` | 732 | 0.00470% |
-| `wikibooks` | `parlament` | 283 | 0.00182% |
-| `wikibooks` | `rozporządzenie` | 131 | 0.00084% |
-| `wikibooks` | `w pobliżu` | 125 | 0.00080% |
-| `wikibooks` | `mieszkańców` | 204 | 0.00131% |
-| `wikibooks` | `Dz.U.` | 16 | 0.00010% |
-| `wikinews` | `w roku` | 449 | 0.00370% |
-| `wikinews` | `klasyfikacji` | 639 | 0.00526% |
-| `wikinews` | `ustawa` | 407 | 0.00335% |
-| `wikinews` | `artykuł` | 2,474 | 0.02038% |
-| `wikinews` | `parlament` | 2,530 | 0.02084% |
-| `wikinews` | `rozporządzenie` | 168 | 0.00138% |
-| `wikinews` | `w pobliżu` | 455 | 0.00375% |
-| `wikinews` | `mieszkańców` | 1,014 | 0.00835% |
-| `wikinews` | `Dz.U.` | 27 | 0.00022% |
-| `wikipedia` | `w roku` | 143,023 | 0.02022% |
-| `wikipedia` | `klasyfikacji` | 46,043 | 0.00651% |
-| `wikipedia` | `ustawa` | 9,536 | 0.00135% |
-| `wikipedia` | `artykuł` | 28,165 | 0.00398% |
-| `wikipedia` | `parlament` | 57,863 | 0.00818% |
-| `wikipedia` | `rozporządzenie` | 5,637 | 0.00080% |
-| `wikipedia` | `w pobliżu` | 41,915 | 0.00593% |
-| `wikipedia` | `mieszkańców` | 122,766 | 0.01736% |
-| `wikipedia` | `Dz.U.` | 232 | 0.00003% |
-| `wikiquote` | `w roku` | 608 | 0.00191% |
-| `wikiquote` | `klasyfikacji` | 15 | 0.00005% |
-| `wikiquote` | `ustawa` | 357 | 0.00112% |
-| `wikiquote` | `artykuł` | 606 | 0.00190% |
-| `wikiquote` | `parlament` | 1,271 | 0.00398% |
-| `wikiquote` | `rozporządzenie` | 27 | 0.00008% |
-| `wikiquote` | `w pobliżu` | 207 | 0.00065% |
-| `wikiquote` | `mieszkańców` | 527 | 0.00165% |
-| `wikiquote` | `Dz.U.` | 6 | 0.00002% |
-| `wikisource` | `w roku` | 16,571 | 0.00207% |
-| `wikisource` | `klasyfikacji` | 166 | 0.00002% |
-| `wikisource` | `ustawa` | 8,156 | 0.00102% |
-| `wikisource` | `artykuł` | 16,230 | 0.00202% |
-| `wikisource` | `parlament` | 6,119 | 0.00076% |
-| `wikisource` | `rozporządzenie` | 1,651 | 0.00021% |
-| `wikisource` | `w pobliżu` | 13,921 | 0.00174% |
-| `wikisource` | `mieszkańców` | 14,335 | 0.00179% |
-| `wikisource` | `Dz.U.` | 5 | 0.00000% |
-| `wikivoyage` | `w roku` | 609 | 0.00356% |
-| `wikivoyage` | `klasyfikacji` | 21 | 0.00012% |
-| `wikivoyage` | `ustawa` | 46 | 0.00027% |
-| `wikivoyage` | `artykuł` | 657 | 0.00384% |
-| `wikivoyage` | `parlament` | 249 | 0.00145% |
-| `wikivoyage` | `rozporządzenie` | 34 | 0.00020% |
-| `wikivoyage` | `w pobliżu` | 6,480 | 0.03783% |
-| `wikivoyage` | `mieszkańców` | 4,100 | 0.02394% |
-| `wikivoyage` | `Dz.U.` | 1 | 0.00001% |
-| `wolne_lektury` | `w roku` | 1,898 | 0.00184% |
-| `wolne_lektury` | `klasyfikacji` | 80 | 0.00008% |
-| `wolne_lektury` | `ustawa` | 1,060 | 0.00103% |
-| `wolne_lektury` | `artykuł` | 1,824 | 0.00177% |
-| `wolne_lektury` | `parlament` | 672 | 0.00065% |
-| `wolne_lektury` | `rozporządzenie` | 128 | 0.00012% |
-| `wolne_lektury` | `w pobliżu` | 2,073 | 0.00201% |
-| `wolne_lektury` | `mieszkańców` | 1,658 | 0.00161% |
-| `wolne_lektury` | `Dz.U.` | 5 | 0.00000% |
-
-![Overall pattern counts](artifacts/pattern_frequency_overall.png)
-
-![w roku by source](artifacts/pattern_frequency_w_roku.png)
-![klasyfikacji by source](artifacts/pattern_frequency_klasyfikacji.png)
-![ustawa by source](artifacts/pattern_frequency_ustawa.png)
-![artykuł by source](artifacts/pattern_frequency_artykul.png)
-![parlament by source](artifacts/pattern_frequency_parlament.png)
-![rozporządzenie by source](artifacts/pattern_frequency_rozporządzenie.png)
-![w pobliżu by source](artifacts/pattern_frequency_w_pobliżu.png)
-![mieszkańców by source](artifacts/pattern_frequency_mieszkańców.png)
-![Dz.U. by source](artifacts/pattern_frequency_dzu.png)
+---
+license: cc-by-sa-4.0
+language:
+- pl
+pretty_name: Polish DynaWord
+task_categories:
+- text-generation
+size_categories:
+- 1M<n<10M
+tags:
+- polish
+- pretraining
+- dynaword
+---
+
+# Polish 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)).
+
+> **v0.2.2 stable** · 2,579,963 documents · **6.36B tokens**
+> (tiktoken proxy; canonical Llama-3 count at release) · 13 sources
+> Updated: **2026-07-19**
+
+> **v0.3.0-preview validation release** · live source-gate validation for
+> SpeakLeash shards and direct Europeana candidate data, plus the quality/diversity
+> remix workflow. This is candidate-only metadata and audit work: it does not
+> replace the v0.2.1 stable parquets.
+
+> **v0.3.1-preview** · first reproducible Europeana direct-ingestion shard:
+> 1,000 API records → 810 quality-gated parquet documents, each preserving
+> per-record rights and creator metadata. Stored separately under
+> `previews/v0.3.1/europeana.parquet`; the paged Search API run took 59.4 s and
+> does not alter v0.2.1 stable totals.
+
+## Versions
+
+| version | status | documents | tokens | notes |
+|---|---|---:|---:|---|
+| `v0.2.2` | stable release | 2,579,963 | 6.36B | Adds `govpl` (gov.pl government press releases, CC-BY-SA-4.0): 88,190 docs / 80.7M tokens fetched directly across 133 ministry/agency subsites. |
+| `v0.2.1` | previous stable | 2,491,773 | 6.28B | 12-source stable corpus with `license` and `author` metadata columns; adds `1000_novels`. |
+| `v0.2.0` | previous stable | 2,490,773 | 6.22B | Provenance-first corpus from 11 open/official sources. |
+| `v0.3.0-preview` | validation release, candidate-only | candidate-only | TBD | Live source gates validated; Biblioteka Nauki, Europeana, and HPLT/Common Corpus expansion remain subject to per-source QA, dedup, and legal review. |
+| `v0.3.1-preview` | reproducible Europeana shard | 810 | 140,042 | 1,000 direct API records sampled; 810 passed short/language/OCR gates, with per-record rights and author metadata. |
+
+## What this dataset contributes
+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`.
+3. **Documentation** — a datasheet per source (Gebru et al. 2021) + this card,
+   so provenance and licensing are auditable rather than assumed.
+4. **Reproducibility & versioning** — `src/` rebuilds the corpus from sources;
+   new sources and removals are tracked in the CHANGELOG.
+
+Credit for the underlying texts belongs to the upstream sources and to SpeakLeash
+as the redistributing aggregator; this release does not claim ownership of them
+(see Disclaimer).
+
+## Contributors
+
+- **Kacper Wikieł** — corpus curation, release engineering, documentation, and
+  reproducible build workflow.
+- **Bart Kobyliński** — source expansion work for Biblioteka Nauki and Europeana,
+  including per-document license/author metadata collection and rebuild planning.
+
+## Guiding principles
+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.
+
+## Sources
+| source | description | license | documents | tokens |
+|---|---|---|---:|---:|
+| [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `CC-BY-4.0` | 243,060 | 2,378.1M |
+| [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 324,622 | 1,646.8M |
+| [wikisource](data/wikisource/wikisource.md) | Polish Wikisource | `CC-BY-SA-3.0` | 632,005 | 801.9M |
+| [wikipedia](data/wikipedia/wikipedia.md) | Polish Wikipedia | `CC-BY-SA-3.0` | 1,171,897 | 707.2M |
+| [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 |
+| [wikiquote](data/wikiquote/wikiquote.md) | Polish Wikiquote (quotations) | `CC-BY-SA-3.0` | 30,363 | 31.9M |
+| [eltec_pol](data/eltec_pol/eltec_pol.md) | ELTeC-pol (European Literary Text Collection, Polish) | `CC-BY-4.0` | 100 | 21.5M |
+| [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 |
+| **total** | | | **2,579,963** | **6,362.6M** |
+
+## Method
+Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
+data. Gates are intentionally minimal (drop short docs, non-Polish, exact duplicates,
+OCR garble); heavy quality filtering and mix-weighting are left to downstream training.
+Evaluation-set decontamination is applied/marked separately. Schema:
+`id, text, source, added, created, token_count, license, author`. The `license`
+and `author` columns are per-document metadata when upstream exposes them; older
+sources use the source-level license and an empty author field.
+
+## v0.3 quality roadmap and current status
+
+The v0.2.x raw corpus is intentionally provenance-first, but its token mix is too
+heavy in legal/parliamentary language for natural general pretraining. The v0.3
+workflow therefore separates **source inclusion** from **training mix**:
+
+- cap `eurlex + parliamentary + dziennik_ustaw` to roughly **10-20%** of training
+  tokens combined;
+- use source-level temperature sampling (`sqrt`, alpha `0.5`) instead of raw
+  token-proportional sampling;
+- add traceably licensed contemporary/natural Polish: open web, academic prose,
+  cultural heritage text, guides, technical documentation/blogs, Q&A, and
+  dialogue/instruction data;
+- run aggressive exact, normalized, and near-duplicate removal;
+- reserve the final **5-15%** of training for higher-quality sources rather than
+  the largest sources;
+- evaluate per-source perplexity and style contamination, not only global loss.
+
+Current v0.3 source-ingestion status:
+
+- `biblioteka_nauki`: prepared in the source registry as a direct-upstream
+  rebuild target with per-document license and author metadata. A live probe
+  currently returns HTTP 500 and zero records, so it is **not included** in
+  v0.2.1 or the v0.3 preview candidate data.
+- `europeana`: prepared in the source registry as a direct-upstream rebuild
+  target with per-record rights statements and creator metadata. A 200-record
+  live direct-rebuild audit found 197 Public Domain Mark records and three
+  CC-BY-SA-4.0 records; all passed the blocking schema, license, duplicate and
+  evaluation-overlap gates. It remains candidate-only until a complete rebuild,
+  date split, and legal review are complete. Raw SpeakLeash Europeana remains
+  excluded.
+- Local SpeakLeash shard audit: 12 reviewed source shards were sampled directly
+  from the live `.jsonl.zst` inputs and passed the blocking gates; four shards
+  are explicitly excluded (`open_subtitles_corpus`, raw Europeana,
+  `1000_novels_corpus_CLARIN-PL`, `project_gutenberg_pl_corpus`) and two talk
+  shards remain on hold pending a separate source policy. The audit mechanism is
+  aligned with [slayer-dsbench](https://github.com/slayerlabs/slayer-dsbench).
+- Europeana release policy: split conservatively at pre-1929 records for
+  US-sensitive downstream reuse, and keep later/unknown records separately
+  labeled or held until legal review.
+- `ashtok897/european-hplt-v1`: candidate workflow exists, but web-crawl
+  provenance, dedup, QA, and final mix weighting are still pending before stable
+  inclusion.
+
+Current review artifacts:
+
+- `configs/source_candidates_v0_3.json` — candidate decisions and license policy.
+- `artifacts/source_license_review_v0_3.md` — source-by-source license review.
+- `artifacts/source_candidate_audit_v0_3.md` — generated Hugging Face metadata audit.
+- `artifacts/training_mix_v0_3.md` — example 1B-token training mix with legal sources capped at 15%.
+- `artifacts/bartek_source_ingestion_plan_2026-07-02.md` — PR contract for
+  Biblioteka Nauki and Europeana ingestion.
+
+## Excluded sources (transparency)
+Sources we reviewed and **deliberately left out** — part of the curation:
+
+| source | reason |
+|---|---|
+| `open_subtitles_corpus` | Derivative of copyrighted film/TV dialogue; OpenSubtitles uploads largely unlicensed. Same copyright lesson as Danish Gigaword's OpenSubtitles (paper 2508.02271). Not openly licensed. |
+| `europeana_eu_pl_corpus_raw_speakleash` | Aggregated items with mixed per-record rights (PD / CC-BY-NC / rights-reserved). The raw SpeakLeash redistribution is excluded; only a direct rebuild preserving per-record rights metadata may be included. |
+| `project_gutenberg_pl_corpus` | Only 31 PL books (4.3MB) — PG is ~99% English; Polish PD literature already covered by wolne_lektury + 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
+This corpus contains **only** text that its upstream sources already published
+under open licenses or as official public-domain record. It therefore includes
+names and statements of **public figures acting in a public capacity** — e.g.
+parliamentary speakers (PPC), authorities named in legal acts (EUR-Lex), and
+people described in encyclopedic articles (Wikipedia/Wikisource). No private,
+non-public personal data was collected or added. If you are a data subject and
+want content concerning you removed, contact **k.wikiel@gmail.com** — it will be dropped
+from the next version (see retroactive-removal policy below).
+
+## Disclaimer & legal
+- **Provenance in good faith.** Per-source 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 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
+Released under **CC-BY-SA-4.0** (copyleft inherited from CC-BY-SA sources such as
+Wikipedia/Wikisource/Wolne Lektury). Attribution due to each upstream (see datasheets)
+and to **SpeakLeash** as the intermediate aggregator. Retroactive-removal policy: a
+source that raises an objection is dropped from subsequent versions, recorded in the
+CHANGELOG.
+
+## Reproduce
+```bash
+python3 src/build_dynaword.py --all --speakleash-dir <speakleash_zst_dir> --out .
+python3 src/make_docs.py
+```
+
+## Results
+
+### Corpus phrase frequency (normalized by tokens)
+
+Raw counts and token-normalized shares are regenerated from the current parquet files with `src/pattern_frequency_report.py`.
+
+- Total token count (tiktoken proxy): **6,362,577,363**
+
+| Pattern | Count | Share of all tokens |
+|---|---:|---:|
+| `w roku` | 438,913 | 0.0069% |
+| `klasyfikacji` | 130,503 | 0.0021% |
+| `ustawa` | 592,186 | 0.0093% |
+| `artykuł` | 2,038,776 | 0.0320% |
+| `parlament` | 1,205,608 | 0.0189% |
+| `rozporządzenie` | 1,494,566 | 0.0235% |
+| `w pobliżu` | 79,715 | 0.0013% |
+| `mieszkańców` | 254,305 | 0.0040% |
+| `Dz.U.` | 943,080 | 0.0148% |
+
+### Per-source shares
+
+| source | pattern | count | share of source tokens |
+|---|---|---:|---:|
+| `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% |
+| `dziennik_ustaw` | `w roku` | 33,096 | 0.00681% |
+| `dziennik_ustaw` | `klasyfikacji` | 10,896 | 0.00224% |
+| `dziennik_ustaw` | `ustawa` | 77,376 | 0.01592% |
+| `dziennik_ustaw` | `artykuł` | 27,773 | 0.00571% |
+| `dziennik_ustaw` | `parlament` | 42,338 | 0.00871% |
+| `dziennik_ustaw` | `rozporządzenie` | 166,383 | 0.03423% |
+| `dziennik_ustaw` | `w pobliżu` | 1,087 | 0.00022% |
+| `dziennik_ustaw` | `mieszkańców` | 8,025 | 0.00165% |
+| `dziennik_ustaw` | `Dz.U.` | 158 | 0.00003% |
+| `eltec_pol` | `w roku` | 108 | 0.00050% |
+| `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
+| `eltec_pol` | `ustawa` | 153 | 0.00071% |
+| `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` | 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% |
+| `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% |
+| `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% |
+| `wikibooks` | `w roku` | 319 | 0.00205% |
+| `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
+| `wikibooks` | `ustawa` | 165 | 0.00106% |
+| `wikibooks` | `artykuł` | 732 | 0.00470% |
+| `wikibooks` | `parlament` | 283 | 0.00182% |
+| `wikibooks` | `rozporządzenie` | 131 | 0.00084% |
+| `wikibooks` | `w pobliżu` | 125 | 0.00080% |
+| `wikibooks` | `mieszkańców` | 204 | 0.00131% |
+| `wikibooks` | `Dz.U.` | 16 | 0.00010% |
+| `wikinews` | `w roku` | 449 | 0.00370% |
+| `wikinews` | `klasyfikacji` | 639 | 0.00526% |
+| `wikinews` | `ustawa` | 407 | 0.00335% |
+| `wikinews` | `artykuł` | 2,474 | 0.02038% |
+| `wikinews` | `parlament` | 2,530 | 0.02084% |
+| `wikinews` | `rozporządzenie` | 168 | 0.00138% |
+| `wikinews` | `w pobliżu` | 455 | 0.00375% |
+| `wikinews` | `mieszkańców` | 1,014 | 0.00835% |
+| `wikinews` | `Dz.U.` | 27 | 0.00022% |
+| `wikipedia` | `w roku` | 143,023 | 0.02022% |
+| `wikipedia` | `klasyfikacji` | 46,043 | 0.00651% |
+| `wikipedia` | `ustawa` | 9,536 | 0.00135% |
+| `wikipedia` | `artykuł` | 28,165 | 0.00398% |
+| `wikipedia` | `parlament` | 57,863 | 0.00818% |
+| `wikipedia` | `rozporządzenie` | 5,637 | 0.00080% |
+| `wikipedia` | `w pobliżu` | 41,915 | 0.00593% |
+| `wikipedia` | `mieszkańców` | 122,766 | 0.01736% |
+| `wikipedia` | `Dz.U.` | 232 | 0.00003% |
+| `wikiquote` | `w roku` | 608 | 0.00191% |
+| `wikiquote` | `klasyfikacji` | 15 | 0.00005% |
+| `wikiquote` | `ustawa` | 357 | 0.00112% |
+| `wikiquote` | `artykuł` | 606 | 0.00190% |
+| `wikiquote` | `parlament` | 1,271 | 0.00398% |
+| `wikiquote` | `rozporządzenie` | 27 | 0.00008% |
+| `wikiquote` | `w pobliżu` | 207 | 0.00065% |
+| `wikiquote` | `mieszkańców` | 527 | 0.00165% |
+| `wikiquote` | `Dz.U.` | 6 | 0.00002% |
+| `wikisource` | `w roku` | 16,571 | 0.00207% |
+| `wikisource` | `klasyfikacji` | 166 | 0.00002% |
+| `wikisource` | `ustawa` | 8,156 | 0.00102% |
+| `wikisource` | `artykuł` | 16,230 | 0.00202% |
+| `wikisource` | `parlament` | 6,119 | 0.00076% |
+| `wikisource` | `rozporządzenie` | 1,651 | 0.00021% |
+| `wikisource` | `w pobliżu` | 13,921 | 0.00174% |
+| `wikisource` | `mieszkańców` | 14,335 | 0.00179% |
+| `wikisource` | `Dz.U.` | 5 | 0.00000% |
+| `wikivoyage` | `w roku` | 609 | 0.00356% |
+| `wikivoyage` | `klasyfikacji` | 21 | 0.00012% |
+| `wikivoyage` | `ustawa` | 46 | 0.00027% |
+| `wikivoyage` | `artykuł` | 657 | 0.00384% |
+| `wikivoyage` | `parlament` | 249 | 0.00145% |
+| `wikivoyage` | `rozporządzenie` | 34 | 0.00020% |
+| `wikivoyage` | `w pobliżu` | 6,480 | 0.03783% |
+| `wikivoyage` | `mieszkańców` | 4,100 | 0.02394% |
+| `wikivoyage` | `Dz.U.` | 1 | 0.00001% |
+| `wolne_lektury` | `w roku` | 1,898 | 0.00184% |
+| `wolne_lektury` | `klasyfikacji` | 80 | 0.00008% |
+| `wolne_lektury` | `ustawa` | 1,060 | 0.00103% |
+| `wolne_lektury` | `artykuł` | 1,824 | 0.00177% |
+| `wolne_lektury` | `parlament` | 672 | 0.00065% |
+| `wolne_lektury` | `rozporządzenie` | 128 | 0.00012% |
+| `wolne_lektury` | `w pobliżu` | 2,073 | 0.00201% |
+| `wolne_lektury` | `mieszkańców` | 1,658 | 0.00161% |
+| `wolne_lektury` | `Dz.U.` | 5 | 0.00000% |
+
+![Overall pattern counts](artifacts/pattern_frequency_overall.png)
+
+![w roku by source](artifacts/pattern_frequency_w_roku.png)
+![klasyfikacji by source](artifacts/pattern_frequency_klasyfikacji.png)
+![ustawa by source](artifacts/pattern_frequency_ustawa.png)
+![artykuł by source](artifacts/pattern_frequency_artykul.png)
+![parlament by source](artifacts/pattern_frequency_parlament.png)
+![rozporządzenie by source](artifacts/pattern_frequency_rozporządzenie.png)
+![w pobliżu by source](artifacts/pattern_frequency_w_pobliżu.png)
+![mieszkańców by source](artifacts/pattern_frequency_mieszkańców.png)
+![Dz.U. by source](artifacts/pattern_frequency_dzu.png)

artifacts/pattern_frequency_hf_snippet.md

@@ -1,18 +1,18 @@
 ## Phrase frequency in corpus (token-normalized)
 
-- Total token count (tiktoken proxy): **9,639,062,573**
+- Total token count (tiktoken proxy): **6,362,577,363**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 585,072 | 0.0061% |
-| `klasyfikacji` | 164,757 | 0.0017% |
-| `ustawa` | 659,103 | 0.0068% |
-| `artykuł` | 2,416,361 | 0.0251% |
-| `parlament` | 1,285,792 | 0.0133% |
-| `rozporządzenie` | 1,527,456 | 0.0158% |
-| `w pobliżu` | 127,784 | 0.0013% |
-| `mieszkańców` | 476,710 | 0.0049% |
-| `Dz.U.` | 987,048 | 0.0102% |
+| `w roku` | 438,913 | 0.0069% |
+| `klasyfikacji` | 130,503 | 0.0021% |
+| `ustawa` | 592,186 | 0.0093% |
+| `artykuł` | 2,038,776 | 0.0320% |
+| `parlament` | 1,205,608 | 0.0189% |
+| `rozporządzenie` | 1,494,566 | 0.0235% |
+| `w pobliżu` | 79,715 | 0.0013% |
+| `mieszkańców` | 254,305 | 0.0040% |
+| `Dz.U.` | 943,080 | 0.0148% |
 
 ### Per-source shares
 
@@ -27,15 +27,6 @@
 | `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% |
@@ -63,24 +54,6 @@
 | `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` | 3,372 | 0.00418% |
 | `govpl` | `klasyfikacji` | 526 | 0.00065% |
 | `govpl` | `ustawa` | 4,727 | 0.00586% |
@@ -90,15 +63,6 @@
 | `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% |
-| `nkjp1m` | `artykuł` | 153 | 0.00588% |
-| `nkjp1m` | `parlament` | 216 | 0.00830% |
-| `nkjp1m` | `rozporządzenie` | 20 | 0.00077% |
-| `nkjp1m` | `w pobliżu` | 77 | 0.00296% |
-| `nkjp1m` | `mieszkańców` | 159 | 0.00611% |
-| `nkjp1m` | `Dz.U.` | 2 | 0.00008% |
 | `parliamentary` | `w roku` | 198,192 | 0.01203% |
 | `parliamentary` | `klasyfikacji` | 12,637 | 0.00077% |
 | `parliamentary` | `ustawa` | 459,179 | 0.02788% |
@@ -108,15 +72,6 @@
 | `parliamentary` | `w pobliżu` | 4,964 | 0.00030% |
 | `parliamentary` | `mieszkańców` | 78,048 | 0.00474% |
 | `parliamentary` | `Dz.U.` | 23,809 | 0.00145% |
-| `samorzad_gov_pl` | `w roku` | 3,661 | 0.00890% |
-| `samorzad_gov_pl` | `klasyfikacji` | 520 | 0.00126% |
-| `samorzad_gov_pl` | `ustawa` | 1,823 | 0.00443% |
-| `samorzad_gov_pl` | `artykuł` | 1,269 | 0.00308% |
-| `samorzad_gov_pl` | `parlament` | 1,218 | 0.00296% |
-| `samorzad_gov_pl` | `rozporządzenie` | 1,409 | 0.00342% |
-| `samorzad_gov_pl` | `w pobliżu` | 401 | 0.00097% |
-| `samorzad_gov_pl` | `mieszkańców` | 14,450 | 0.03511% |
-| `samorzad_gov_pl` | `Dz.U.` | 1,380 | 0.00335% |
 | `wikibooks` | `w roku` | 319 | 0.00205% |
 | `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
 | `wikibooks` | `ustawa` | 165 | 0.00106% |

artifacts/rock_pollub_pl_ontology_manifest.json

@@ -1,236 +0,0 @@
-{
-  "actors": [
-    {
-      "id": "actor:piotrsty",
-      "type": "Contributor"
-    },
-    {
-      "id": "actor:politechnika-lubelska",
-      "type": "Organization"
-    },
-    {
-      "id": "actor:codex",
-      "type": "Agent"
-    }
-  ],
-  "claims": [
-    {
-      "falsification_condition": "A retained record lacks Polish book metadata or either rights assertion.",
-      "id": "claim:pilot-eligibility",
-      "statement": "Retained pilot records have Polish book metadata and CC BY-SA 4.0 evidence at item and matched PDF-bitstream level.",
-      "supported_by": [
-        "evidence:inventory:33db1ffd21efb1535b0255b31f539a669f129a41b9d8e7d449fe733321c48775",
-        "evidence:qa:84834c8c5f4e947e34c34d32d89932767e5a82b3d53ab217d5f5a8dbeed087ea"
-      ]
-    },
-    {
-      "falsification_condition": "The recorded comparison contains a match, or a rerun against the pinned target version finds one.",
-      "id": "claim:no-title-overlap-detected",
-      "statement": "No exact or near title match was detected against the current Biblioteka Nauki attribution column.",
-      "supported_by": [
-        "evidence:overlap:2557b13a55ad40599070cb1101af5fd74c46247e527a525b5f06543ab0645101"
-      ]
-    },
-    {
-      "falsification_condition": "The pinned registry or recorded discussion list contains this source.",
-      "id": "claim:not-registered-at-audit",
-      "statement": "The source key and a matching ROCK/Pollub proposal were absent from the pinned DynaWord registry and discussion list at audit time.",
-      "supported_by": [
-        "evidence:target-audit:cddb52e9a3f5dc34073ecc22828028965a8578f2dad4c73036ca3cfa0178c303"
-      ]
-    },
-    {
-      "falsification_condition": "A controlled ablation and target-wide overlap analysis establish those properties.",
-      "id": "claim:training-value-untested",
-      "statement": "Training benefit and full-corpus novelty remain untested hypotheses.",
-      "supported_by": [
-        "evidence:qa:84834c8c5f4e947e34c34d32d89932767e5a82b3d53ab217d5f5a8dbeed087ea"
-      ]
-    }
-  ],
-  "evidence": [
-    {
-      "artifact": "artifacts/inventory.json",
-      "content_address": "33db1ffd21efb1535b0255b31f539a669f129a41b9d8e7d449fe733321c48775",
-      "id": "evidence:inventory:33db1ffd21efb1535b0255b31f539a669f129a41b9d8e7d449fe733321c48775",
-      "observation_type": "source_inventory",
-      "produced_by": "run:324c1f246ff79d11e768795cddc0709ebec0a8ef3b2c3b47c75539b4b2f1bea0"
-    },
-    {
-      "id": "evidence:qa:84834c8c5f4e947e34c34d32d89932767e5a82b3d53ab217d5f5a8dbeed087ea",
-      "observation_type": "pilot_qa",
-      "payload": {
-        "benchmark_overlap": "pending",
-        "biblioteka_nauki_overlap": {
-          "candidate_records": 8,
-          "method": "normalized title substring; fallback SequenceMatcher >= 0.90 over attribution",
-          "observed_at": "2026-09-08T16:37:35.661794+00:00",
-          "records_with_exact_title_match": 0,
-          "records_with_fuzzy_title_match": 0,
-          "results": [
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "513c690d-72b3-4604-b62e-e21e44b91645",
-              "title": "Modelowanie i analiza eksperymentalna parametrów pracy modułów fotowoltaicznych w warunkach rzeczywistych"
-            },
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "e9e7a67e-c405-4968-b87a-0ff169c7b3d1",
-              "title": "Ćwiczenia i zadania ze wstępu do matematyki finansowej"
-            },
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "a6c38c5d-ba8f-47ac-a3e6-b50df14a595b",
-              "title": "Dobór architektury i parametrów procesu uczenia sieci neuronowych w doskonaleniu procesów produkcyjnych"
-            },
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "903f22e1-a2ab-4231-a402-2bc9535c12f2",
-              "title": "Wyzwania współczesnego publikowania"
-            },
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "0e26bff5-e51a-4d36-9524-fdef6e3e6ab7",
-              "title": "Symulacje Monte Carlo. Teoria i zastosowania"
-            },
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "032a14e5-5c8e-4153-9cf7-2dfd9e361e6d",
-              "title": "Zastosowanie uczenia maszynowego do obrazowania stanu zawilgocenia murów z wykorzystaniem tomografii impedancyjnej"
-            },
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "da87b1d3-7018-46fa-81bd-380f0780a1b3",
-              "title": "Zarządzanie współprac�� instytucji państwa z diasporą. Przegląd teorii, analiza porównawcza wybranych państw"
-            },
-            {
-              "exact_title_matches": [],
-              "fuzzy_title_matches": [],
-              "item_id": "a257b1ce-1af7-4dfc-ae38-ec67ef877689",
-              "title": "Komputerowa grafika inżynierska. Ćwiczenia do programu AutoCAD 2023"
-            }
-          ],
-          "target": "SlayerLab/polish-dynaword:data/biblioteka_nauki",
-          "target_revision": "02bcb0b5f991a30f8454c6444f701633b71f69d4",
-          "target_rows": 42071,
-          "text_overlap": "not tested; target-wide text dedup remains an integration gate"
-        },
-        "cross_source_dedup": "pending target integration",
-        "exact_dedup": true,
-        "license_gate": "CC-BY-SA-4.0 in item and matched PDF bitstream metadata",
-        "limitations": [
-          "PDF extraction may flatten tables and equations",
-          "third-party figures and quoted material are not included as images but textual excerpts require review",
-          "isolated PDF extraction replacement characters are represented as [UNREADABLE_GLYPH]",
-          "pattern checks are not comprehensive de-identification",
-          "pilot yield must not be extrapolated without a full inventory run"
-        ],
-        "near_dedup": "exact 5-word-shingle Jaccard >= 0.90 within pilot",
-        "pii_pattern_matches": {
-          "email": 2,
-          "labelled_phone": 0
-        },
-        "scope": "pilot target 20; acquired 8; not a completeness claim",
-        "target_reached": false
-      },
-      "produced_by": "run:324c1f246ff79d11e768795cddc0709ebec0a8ef3b2c3b47c75539b4b2f1bea0"
-    },
-    {
-      "artifact": "artifacts/overlap_audit.json",
-      "content_address": "2557b13a55ad40599070cb1101af5fd74c46247e527a525b5f06543ab0645101",
-      "id": "evidence:overlap:2557b13a55ad40599070cb1101af5fd74c46247e527a525b5f06543ab0645101",
-      "observation_type": "metadata_overlap_audit",
-      "produced_by": "run:324c1f246ff79d11e768795cddc0709ebec0a8ef3b2c3b47c75539b4b2f1bea0"
-    },
-    {
-      "artifact": "artifacts/target_audit.json",
-      "content_address": "cddb52e9a3f5dc34073ecc22828028965a8578f2dad4c73036ca3cfa0178c303",
-      "id": "evidence:target-audit:cddb52e9a3f5dc34073ecc22828028965a8578f2dad4c73036ca3cfa0178c303",
-      "observation_type": "target_registry_audit",
-      "produced_by": "run:324c1f246ff79d11e768795cddc0709ebec0a8ef3b2c3b47c75539b4b2f1bea0"
-    }
-  ],
-  "objects": [
-    {
-      "id": "object:source:rock-pollub",
-      "type": "Source"
-    },
-    {
-      "id": "object:dataset:rock-pollub-pl-pilot",
-      "type": "Dataset"
-    }
-  ],
-  "pending": [
-    "Biblioteka Nauki text overlap",
-    "full collection inventory",
-    "cross-source deduplication",
-    "benchmark contamination check",
-    "legal review of third-party textual excerpts",
-    "controlled training ablation"
-  ],
-  "protocols": [
-    {
-      "id": "protocol:rock-pilot-v1",
-      "procedure": "item+PDF rights gate, matched repository text, normalization, PII patterns, exact/near dedup"
-    }
-  ],
-  "relations": [
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:18ea2bb4ce1035ac7d39295f627d43da02a2959baddd52fab901970ed0fae9eb",
-      "target": "version:source:ae3d159ce612b8088f43097ff3d16a55ba8e8807ad3b3b4e8b2866ace23e543d"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:18ea2bb4ce1035ac7d39295f627d43da02a2959baddd52fab901970ed0fae9eb",
-      "target": "run:324c1f246ff79d11e768795cddc0709ebec0a8ef3b2c3b47c75539b4b2f1bea0"
-    },
-    {
-      "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:18ea2bb4ce1035ac7d39295f627d43da02a2959baddd52fab901970ed0fae9eb",
-      "target": "hf:dataset:SlayerLab/polish-dynaword@02bcb0b5f991a30f8454c6444f701633b71f69d4"
-    }
-  ],
-  "runs": [
-    {
-      "actor": "actor:codex",
-      "finished_at": "2026-09-08T16:46:45.891136+00:00",
-      "id": "run:324c1f246ff79d11e768795cddc0709ebec0a8ef3b2c3b47c75539b4b2f1bea0",
-      "protocol": "protocol:rock-pilot-v1",
-      "started_at": "2026-09-08T16:26:05.196224+00:00",
-      "stats": {
-        "acquired": 8,
-        "added": "2026-09-08",
-        "author_coverage": 1.0,
-        "characters": 3380937,
-        "discovered_collection_items": 771,
-        "kept": 8,
-        "pilot_limit": 20,
-        "rejected": 0,
-        "sample_count": 8,
-        "tokens": 1177858
-      },
-      "success": true
-    }
-  ],
-  "schema": "slayer-research-ontology-profile-v1",
-  "versions": [
-    {
-      "content_address": "ae3d159ce612b8088f43097ff3d16a55ba8e8807ad3b3b4e8b2866ace23e543d",
-      "id": "version:source:ae3d159ce612b8088f43097ff3d16a55ba8e8807ad3b3b4e8b2866ace23e543d",
-      "object": "object:source:rock-pollub"
-    },
-    {
-      "content_address": "18ea2bb4ce1035ac7d39295f627d43da02a2959baddd52fab901970ed0fae9eb",
-      "id": "version:dataset:18ea2bb4ce1035ac7d39295f627d43da02a2959baddd52fab901970ed0fae9eb",
-      "object": "object:dataset:rock-pollub-pl-pilot"
-    }
-  ]
-}

artifacts/sejm_api_ontology_manifest.json

@@ -1,238 +0,0 @@
-{
-  "actors": [
-    {
-      "id": "github:PiotrStyla",
-      "kind": "automation"
-    }
-  ],
-  "attestations": [
-    {
-      "actor_id": "github:PiotrStyla",
-      "fields": [
-        "id",
-        "text",
-        "source",
-        "added",
-        "created",
-        "token_count",
-        "license",
-        "author"
-      ],
-      "type": "schema_valid",
-      "value": true
-    },
-    {
-      "actor_id": "github:PiotrStyla",
-      "supported_by": [
-        "slayer://evidence/sejm-api-legal-basis@sha256:38e42a791d68d593f82e"
-      ],
-      "type": "license_policy",
-      "value": "open_public_sector_reuse"
-    },
-    {
-      "actor_id": "github:PiotrStyla",
-      "supported_by": [
-        "slayer://evidence/sejm-api-temporal-novelty@sha256:38e42a791d68d593f82e"
-      ],
-      "type": "temporal_overlap",
-      "value": "none_for_registered_parliamentary_sources"
-    },
-    {
-      "actor_id": "github:PiotrStyla",
-      "supported_by": [
-        "slayer://evidence/sejm-api-author-attribution@sha256:38e42a791d68d593f82e"
-      ],
-      "type": "speaker_attribution",
-      "value": "100_percent"
-    }
-  ],
-  "claim_evidence": [
-    {
-      "claim_id": "slayer://claim/sejm-api-temporal-novelty@sha256:38e42a791d68d593f82e",
-      "evidence_id": "slayer://evidence/sejm-api-temporal-novelty@sha256:38e42a791d68d593f82e",
-      "relation": "SUPPORTS"
-    },
-    {
-      "claim_id": "slayer://claim/sejm-api-full-speaker-attribution@sha256:38e42a791d68d593f82e",
-      "evidence_id": "slayer://evidence/sejm-api-author-attribution@sha256:38e42a791d68d593f82e",
-      "relation": "SUPPORTS"
-    },
-    {
-      "claim_id": "slayer://claim/sejm-api-open-official-materials@sha256:38e42a791d68d593f82e",
-      "evidence_id": "slayer://evidence/sejm-api-legal-basis@sha256:38e42a791d68d593f82e",
-      "relation": "SUPPORTS"
-    }
-  ],
-  "claims": [
-    {
-      "asserted_by": "github:PiotrStyla",
-      "falsification_condition": "Any contributed created date is <= either documented source end date.",
-      "id": "slayer://claim/sejm-api-temporal-novelty@sha256:38e42a791d68d593f82e",
-      "scope": [
-        "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-      ],
-      "statement": "Every contributed speech postdates both registered parliamentary source ranges.",
-      "supported_by": [
-        "slayer://evidence/sejm-api-temporal-novelty@sha256:38e42a791d68d593f82e"
-      ]
-    },
-    {
-      "asserted_by": "github:PiotrStyla",
-      "falsification_condition": "Any contributed document has an empty author field.",
-      "id": "slayer://claim/sejm-api-full-speaker-attribution@sha256:38e42a791d68d593f82e",
-      "scope": [
-        "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-      ],
-      "statement": "Every contributed document has a non-empty speech-speaker attribution.",
-      "supported_by": [
-        "slayer://evidence/sejm-api-author-attribution@sha256:38e42a791d68d593f82e"
-      ]
-    },
-    {
-      "asserted_by": "github:PiotrStyla",
-      "falsification_condition": "A record is not an official parliamentary material or an applicable statutory limitation defeats reuse.",
-      "id": "slayer://claim/sejm-api-open-official-materials@sha256:38e42a791d68d593f82e",
-      "scope": [
-        "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-      ],
-      "statement": "The source contains official parliamentary materials with documented statutory reuse.",
-      "supported_by": [
-        "slayer://evidence/sejm-api-legal-basis@sha256:38e42a791d68d593f82e"
-      ]
-    }
-  ],
-  "evidence": [
-    {
-      "id": "slayer://evidence/sejm-api-record-counts@sha256:38e42a791d68d593f82e",
-      "observation_type": "dataset_record_counts",
-      "payload": {
-        "drop_before_start": 118902,
-        "drop_dup": 0,
-        "kept": 38812,
-        "read": 157714,
-        "tokens": 36335587
-      },
-      "run_id": "github-actions:32586999448:attempt:1",
-      "subject_version": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-    },
-    {
-      "id": "slayer://evidence/sejm-api-temporal-novelty@sha256:38e42a791d68d593f82e",
-      "observation_type": "registered_source_date_ranges",
-      "payload": {
-        "candidate_max": "2026-07-03",
-        "candidate_min": "2023-01-11",
-        "existing_source_end_dates": {
-          "parlamint_pl": "2022-12-31",
-          "parliamentary": "2019-12-31"
-        }
-      },
-      "run_id": "github-actions:32586999448:attempt:1",
-      "subject_version": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-    },
-    {
-      "id": "slayer://evidence/sejm-api-author-attribution@sha256:38e42a791d68d593f82e",
-      "observation_type": "speaker_attribution_coverage",
-      "payload": {
-        "attributed_documents": 38812,
-        "documents": 38812
-      },
-      "run_id": "github-actions:32586999448:attempt:1",
-      "subject_version": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-    },
-    {
-      "id": "slayer://evidence/sejm-api-legal-basis@sha256:38e42a791d68d593f82e",
-      "observation_type": "official_statutory_reuse_sources",
-      "payload": {
-        "copyright_act": "https://eli.gov.pl/api/acts/DU/2025/24/text/O/D20250024.pdf",
-        "legal_evidence_sha256": "ff52cd0c374aee51162d4088088f7bdfbabaa9c6e3d1816063b404b11369da0f",
-        "license": "public-domain (official documents)",
-        "open_data_act": "https://eli.gov.pl/api/acts/DU/2023/1524/text.html",
-        "source_documentation": "https://api.sejm.gov.pl/sejm.html"
-      },
-      "run_id": "github-actions:32586999448:attempt:1",
-      "subject_version": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-    },
-    {
-      "id": "slayer://evidence/sejm-api-artifact-digests@sha256:38e42a791d68d593f82e",
-      "observation_type": "artifact_checksums",
-      "payload": {
-        "attribution_sha256": "4ab6513f8173498d403f7ec1a9534b8e0086264d3eca6ff9ac4f9c5dbca4c069",
-        "parquet_sha256": "56f7b03483488dec8f0fa145c6d26746926175d83096e9d1931e535aa81cf161"
-      },
-      "run_id": "github-actions:32586999448:attempt:1",
-      "subject_version": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-    }
-  ],
-  "object": {
-    "id": "slayer://object/dataset-source/slayerlab-polish-dynaword-sejm-api",
-    "kind": "dataset_source",
-    "name": "sejm_api"
-  },
-  "protocol": {
-    "configuration": {
-      "added": "2026-08-22",
-      "exact_deduplication": "sha1(normalized_text)",
-      "registered_parliamentary_end_dates": {
-        "parlamint_pl": "2022-12-31",
-        "parliamentary": "2019-12-31"
-      },
-      "schema_fields": [
-        "id",
-        "text",
-        "source",
-        "added",
-        "created",
-        "token_count",
-        "license",
-        "author"
-      ],
-      "source_release": "v1.0.1",
-      "source_revision": "124557799608ce4212cf22fa90ca7904618de1b6",
-      "start_date": "2023-01-01",
-      "target_base_revision": "8cc48a3c564ac9edabfbbf012842ad11f70a3e5c",
-      "tokenizer": "cl100k_base"
-    },
-    "entrypoint": "python src/fetch_sejm_api.py",
-    "git_commit": "2a50019652d90f135f0d3a91c8c2c7176619c784"
-  },
-  "relations": [
-    {
-      "introduced_by_run": "github-actions:32586999448:attempt:1",
-      "predicate": "DERIVED_FROM",
-      "source_version": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32",
-      "target_version": "hf://datasets/PiotrSty/sejm-speeches-corpus@124557799608ce4212cf22fa90ca7904618de1b6"
-    },
-    {
-      "introduced_by_run": "github-actions:32586999448:attempt:1",
-      "predicate": "COMPATIBLE_WITH",
-      "source_version": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32",
-      "target_version": "hf://datasets/SlayerLab/polish-dynaword@8cc48a3c564ac9edabfbbf012842ad11f70a3e5c"
-    }
-  ],
-  "run": {
-    "actor_id": "github:PiotrStyla",
-    "git_commit": "2a50019652d90f135f0d3a91c8c2c7176619c784",
-    "id": "github-actions:32586999448:attempt:1",
-    "inputs": [
-      {
-        "role": "source",
-        "version_id": "hf://datasets/PiotrSty/sejm-speeches-corpus@124557799608ce4212cf22fa90ca7904618de1b6"
-      },
-      {
-        "role": "target_base",
-        "version_id": "hf://datasets/SlayerLab/polish-dynaword@8cc48a3c564ac9edabfbbf012842ad11f70a3e5c"
-      }
-    ],
-    "outputs": [
-      {
-        "role": "dataset_source",
-        "version_id": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-      }
-    ]
-  },
-  "schema_version": "slayer.ai/dataset-source-contribution/v1",
-  "version": {
-    "digest": "sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32",
-    "id": "slayer://version/dataset-source/sejm-api@sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32"
-  }
-}

artifacts/source_findings.md

@@ -1,543 +0,0 @@
-# Source investigation findings
-
-Running log of sources that were investigated, whether or not they were added.
-**Append-only, version-independent** — unlike the `*_v0_3.md` artifacts, which are
-point-in-time snapshots of one release's candidate review.
-
-Purpose: stop the same source being re-investigated from scratch every few months.
-A negative finding is as valuable as a positive one, as long as it records *what
-was checked* and *what would change the answer*.
-
-Related, don't duplicate:
-- `source_scouting_v0_3.md` — v0.3 candidate shortlist (HuggingFace-centric)
-- `source_candidate_audit_v0_3.md` — machine-generated audit of those HF cards
-- `source_license_review_v0_3.md` — v0.3 license decision table
-
-## How to add an entry
-
-One `##` section per source. Keep these fields:
-
-- **Investigated** — date, so a stale finding is visible as stale.
-- **Verdict** — `added` / `blocked` / `hold` / `rejected`, plus the one-line reason.
-- **Enumeration** — how you would actually get the data, or why you can't.
-- **License evidence** — what you checked, with URLs. Separate what you *verified
-  yourself* from what you read second-hand; label the weak ones.
-- **Blockers** — what must be resolved before this can ship.
-- **Lesson** — anything generalizable to other sources. Optional.
-
-Write down the API endpoints and quirks you had to dig for. That digging is the
-expensive part, and it is invisible in a verdict line.
-
----
-
-## zpe.gov.pl — Zintegrowana Platforma Edukacyjna
-
-**Investigated:** 2026-08-27
-**Verdict:** `hold` — technically very tractable, blocked on per-material license
-evidence. Do not build a fetcher until the license question below is answered.
-
-Ministry of Education platform (successor to `epodreczniki.pl`), e-materials
-across all school subjects. Attractive because the corpus has **no modern
-instructional/pedagogic register at all**, and this is contemporary, clean,
-editorially reviewed Polish prose.
-
-### Enumeration — solved
-
-There is no sitemap (`/sitemap.xml` → 404) and site search is client-side, but
-`https://zpe.gov.pl/config.js` exposes an undocumented JSON API:
-
-```
-window.CP_CONFIGURATION = {... "apiUrl":"https://zpe.gov.pl/api/v1/" ...}
-```
-
-```
-GET https://zpe.gov.pl/api/v1/search?query=&limit=20&offset=N
-→ {"count": 23843, "offset": 0, "limit": 20,
-   "data": [{"id": "P18l4AKOi", "title": "Fotosynteza",
-             "subject": [...], "stage": [...], "tags": [], ...}]}
-```
-
-Verified directly (2026-08-27):
-
-- `count` = **23,843** materials for the empty query.
-- Deep paging works — `offset=5000` returns rows, no cursor needed.
-- `robots.txt` is `User-agent: * / Allow: /`.
-- Article pages `/a/<slug>/<CODE>` are **fully server-rendered**; text lives in
-  `data-editor-content` blocks. No JS execution required to extract prose.
-- Book pages `/b/<slug>/<CODE>` render their material list client-side (0
-  server-side `/a/` links), so `/b/` is useless for crawling. Use the API.
-
-Other endpoints probed and 404: `api/v1/materials`, `api/v1/document(s)/<CODE>`,
-`api/v1/footer`, `api/v1/menu`, `api/v1/search/materials`. Only
-`api/v1/search?query=` responded.
-
-### License evidence — the blocker
-
-**Verified directly:**
-
-- **No document-level license marker exists in the served HTML.** The only
-  machine-readable license strings are per-figure, inside
-  `<div class="figure_caption_bibliography">`, e.g.
-  `Źródło: GroMar, licencja: CC BY 3.0.` and
-  `Źródło: Sławomir Szaruga, licencja: CC BY 3.0.` These attach to
-  **illustrations, not to the prose**.
-- **The site footer is `<div id="footer_app"></div>` — JS-rendered.** This
-  matters: the accepted legal basis for both `govpl` and `samorzad_gov_pl` in
-  `src/sources.py` is a *server-side footer string* declaring CC BY-SA 4.0.
-  ZPE has no such string. **That precedent does not transfer to ZPE.**
-- The platform `regulamin` states:
-  *"Korzystanie z Materiału odbywać się może tylko i wyłącznie w zakresie
-  dozwolonym przepisami ustawy o prawie autorskim i prawach pokrewnych"* —
-  statutory permitted-use only, which is not an open license. Reading the
-  surrounding clauses, this section appears scoped to material *uploaded by
-  users to* the platform rather than to ministry e-materials, but the wording is
-  not self-limiting and a reviewer will land on it.
-
-**Second-hand, not verified — confirm before relying on any of it:**
-
-- Ministry-produced e-materials are said to be CC BY 3.0, funded under
-  POKL 2007–2013 / POWER 2014–2020.
-- User-contributed materials are reported to carry **CC BY-NC-SA 4.0**. NC is
-  already on the reject list (`source_scouting_v0_3.md`), so those must be
-  excluded, not merely flagged.
-- Literary works embedded in e-materials are reported to sit under a
-  non-free *"licencja edukacyjna"* where authors or heirs did not agree to open
-  release. This is the highest-risk content class on the platform.
-
-### Consequences for design
-
-- ZPE cannot be a single-license shard. It has to be **per-record license-gated**,
-  `license_spdx: MIXED`, same shape as `biblioteka_nauki` and `europeana`.
-- Available heuristic, **not** license evidence: ministry materials come back with
-  `subject` and `stage` populated; user uploads return `"subject": [], "stage": []`
-  (the first empty-query result is an all-caps user upload with both empty). Usable
-  as a pre-filter, useless as provenance.
-- Rough size if ~10–15k ministry materials survive the gate: **~30–100M tokens**.
-  Estimate only — nothing was counted. Good register, modest scale.
-
-### Extraction hazards (seen in a single sampled page)
-
-- Interactive-exercise chrome: `Pokaż podpowiedź`, `Pokaż odpowiedź` buttons.
-- JSON blobs embedded in `data-editor-params` attributes (`gameTitle`,
-  `feedbackPositive`, …) — must not leak into `text`.
-- Per-figure attribution lines repeated throughout the body.
-- Glossary / `Zapamiętaj!` boilerplate repeated across many materials — needs
-  frequency-based boilerplate detection, not a hand-written blocklist.
-
-### What would unblock this
-
-Any one of: a resolvable per-material license field (API or page markup); an
-authoritative ORE/MEN page granting open reuse of e-material *text*; or written
-permission. Absent that, ZPE stays out — the datasheet could not honestly answer
-"where does the license statement live", which is a required field for any PR.
-
-### Lesson
-
-Check for a **server-rendered** license statement early. A JS-rendered footer is
-not usable license evidence, and "it's a `gov.pl` domain" is not a license — the
-`govpl` and `samorzad_gov_pl` entries hold up because a specific footer string
-was fetched and quoted, not because of the domain.
-
----
-
-## ParlaMint-PL — parliamentary debates 2015–2022
-
-**Investigated:** 2026-08-27
-**Verdict:** `ready to build, low yield` — license and distribution verified, the
-fetcher is the only missing piece. But it is a **date-hole patch worth ~36M
-net-new tokens**, not a diversity win. Size it before prioritising it.
-
-Already registered in `src/sources.py` as `parlamint_pl`, but there is **no shard
-in `data/`**.
-
-### Size — measured, not guessed
-
-From the official stats at
-`github.com/clarin-eric/ParlaMint/tree/v5.0/Build/Metadata`
-(`ParlaMint-overview-stats.tsv`, `ParlaMint-speeches-stats.tsv`):
-
-```
-ID  Lang  Bodies   Ts  From     To       Yrs  Mw/Yr  Mw
-PL  pl    low+upp  4   2015-11  2022-06  6.7  5.35   36.06
-```
-
-- **36.06M words**, **228,326 speeches**, 4 terms, both chambers.
-- Token conversion measured on our own `parliamentary` shard (same register, same
-  cl100k encoder; 6,000 docs / 9.7M words): **2.654 tokens/word**, 7.24 chars/word.
-- → **~96M tokens gross**, ≈1% of the current 9.68B corpus.
-- Download: `ParlaMint-PL.tgz`, 185.3 MB.
-
-### Overlap with the existing `parliamentary` shard — the real issue
-
-ParlaMint-PL is **derived from PPC**, which is exactly what the `parliamentary`
-shard is (1991–2019). Time overlap runs 2015-11 → 2019-12, about 4.2 of the 6.7
-years, ≈22M words likely already present. **Net new ≈ 14M words ≈ 36M tokens**,
-covering 2020-01 → 2022-06.
-
-That estimate is soft in both directions:
-
-- `parliamentary` has **no per-document dates** — `created` is the single literal
-  `'1991-01-01, 2019-12-31'` on all 324,622 rows. The overlap cannot be measured
-  by filtering, only by comparing content.
-- PPC includes committee sittings and interpellations; ParlaMint-PL is plenary
-  only. So ParlaMint's 2015–2019 portion is plausibly a *subset* of what already
-  ships, making the real overlap higher than the time-share implies.
-
-**Exact dedup will not catch this.** `build_dynaword.py` dedups on `sha1` of the
-whole document. ParlaMint ships one document per session; PPC's segmentation
-differs, so byte-identical documents are unlikely and the duplicates pass
-straight through the gate. This needs **near-dedup, for which the repo has no
-committed tooling** — the HPLT expansion's near-dedup was run outside `src/`.
-Budget for that, or the shard silently duplicates existing data.
-
-### Version note
-
-**ParlaMint 5.0 does not extend Polish** — PL still ends 2022-06, same as the 3.0
-deposit already cited in `sources.py` (handle `11356/1486`; 5.0 is `11356/2004`).
-Upgrading buys corrections, not coverage. Neither version closes the gap to
-`sejm_api` (2023 onward): mid-2022 through end-2022 stays empty.
-
-### Verified
-
-- CLARIN.SI handle `11356/1486` resolves (HTTP 200). The `upstream` URL recorded
-  in `sources.py` is correct and live.
-- License: **CC BY 4.0**, stated on the repository record.
-- ParlaMint 3.0 overall: 26 comparable corpora, 7,468,674 utterances,
-  1,147,800,265 words; debates mostly 2015 → mid-2022.
-- The distribution ships a **plain-text (`.txt`) edition** alongside TEI/XML and
-  linguistically-annotated `.ana.xml`. Filenames are per-session, e.g.
-  `ParlaMint-PL_2017-07-20-sejm-46-3.txt`. Use the `.txt` edition — no TEI parsing
-  needed.
-- Polish covers **both chambers**: `-sejm-` and `-senat-` session files.
-
-### Why it is still worth doing
-
-Fills 2020 → mid-2022, between `parliamentary` (ends 2019) and `sejm_api` (2023
-onward). Same CC-BY-4.0 family as existing sources, so there is no new license
-question to answer, and the plain-text edition means no TEI parsing. Cheap. Just
-do not expect it to move the totals — and do not build it before a source that
-adds a register the corpus lacks.
-
-### Drift found while checking
-
-`src/sources.py` (the `parlamint_pl` `provenance` field) states the corpus was
-*"Fetched directly from the CLARIN.SI plain-text edition (ParlaMint-PL.tgz) by
-`src/fetch_parlamint.py`"*. **That script does not exist in `src/`.** The
-provenance describes a fetch that no committed code performs. Either write the
-script or correct the field before this ships.
-
----
-
-## Sejm API — interpelacje and zapytania poselskie
-
-**Investigated:** 2026-08-27
-**Verdict:** `hold — recheck`. Not a license problem; `api.sejm.gov.pl` was
-unreachable from the investigating network on the day, so the endpoints could not
-be confirmed. Retry before writing anything off.
-
-### What happened
-
-- `api.sejm.gov.pl` resolves (`194.41.12.231`) but every request hangs and then
-  fails — plain `curl` times out at 45s, a proxied fetch returns `ECONNRESET`.
-- `https://www.sejm.gov.pl/` responds normally (302), and other external hosts
-  were fine the same session, so this is specific to the API host: either an
-  outage, or that host filtering the source network.
-- `src/fetch_sejm_api.py` (committed, working) uses this same host, so the API
-  is normally reachable. Treat as transient until proven otherwise.
-
-### Unverified — what to check on retry
-
-- Whether `sejm/term{N}/interpellations` and `sejm/term{N}/writtenQuestions`
-  exist, and their paging parameters.
-- Whether the **ministry's reply body** is retrievable as text, or only as a
-  linked PDF. This decides whether the source is worth building: the replies are
-  the substantial half.
-- Document counts per term.
-
-### Why it is on the list
-
-Reuses the existing `fetch_sejm_api.py` legal basis unchanged — official
-parliamentary materials outside copyright under art. 4(2) pr. aut., reusable
-under the Open Data Act. Question/answer prose is argumentative register, which
-the corpus is short on. No new license work needed.
-
----
-
-## CLARIN-PL DSpace (PELCRA Spokes, and the `1000_novels` upstream)
-
-**Investigated:** 2026-08-27
-**Verdict:** `blocked — temporary`. The repository is down for reorganization.
-Nothing to decide until it returns.
-
-### Verified
-
-- `https://clarin-pl.eu/dspace/` serves a maintenance notice:
-  *"Trwają prace nad repozytorium. Prowadzimy prace serwisowe oraz reorganizację
-  repozytorium DSpace… Repozytorium będzie ponownie dostępne wkrótce."*
-- Every item handle under it 404s: `11321/312`, `11321/544`, `11321/545`,
-  `11321/547` — nginx 404, not a DSpace "item not found".
-- The global resolver is broken for this prefix too: `hdl.handle.net/11321/*`
-  returns **HTTP 500**.
-
-So no PELCRA record (Spokes, EMO, PARL, EMI) can have its license checked right
-now. Conversational Polish remains the corpus's biggest register gap, so this is
-worth re-checking periodically.
-
-### Side effect on shipped data
-
-`src/sources.py` records `https://clarin-pl.eu/dspace/handle/11321/312` as the
-`upstream` for **`1000_novels`**, which is a released shard. That URL currently
-does not resolve. Presumed temporary, but the citation in a published datasheet
-is dead as of this date.
-
-### Expected concern when it returns
-
-PELCRA spoken corpora are transcribed private conversation. Expect NC-flavoured
-or restricted licensing, and expect a personal-data question — these recordings
-involve identifiable private individuals, not public officials acting officially.
-Both must be resolved before use.
-
----
-
-## NIK — Najwyższa Izba Kontroli audit reports
-
-**Investigated:** 2026-08-27
-**Verdict:** `hold` — permissive but **non-standard** license, and enumeration is
-unsolved. Viable with work; not a quick win.
-
-### License evidence — verified
-
-`https://www.nik.gov.pl/zasady/prawa-autorskie.html` states:
-
-> *"Korzystanie z materiałów publikowanych w serwisach internetowych Najwyższej
-> Izby Kontroli nie wymaga uzyskania zgody NIK. Nie dotyczy to elementów odrębnie
-> zastrzeżonych (do których prawa autorskie przysługują osobom trzecim), w
-> szczególności oznaczonych materiałów zdjęciowych oraz tekstów publikowanych
-> pierwotnie w innych źródłach."*
-
-Attribution to *"Najwyższa Izba Kontroli (nik.gov.pl)"* is requested, not required.
-
-Assessment: a **custom permissive notice, not a standard open license** — no CC,
-no CC0, no SPDX identifier. It carries a third-party carve-out that matters here,
-because audit reports quote external sources. A separate and probably stronger
-argument is that audit reports are *materiały urzędowe* under art. 4 pkt 2 pr.
-aut., the same basis as `dziennik_ustaw` and `sejm_api`. If this source is built,
-lead with the statutory argument and cite the site notice as corroboration.
-
-### Enumeration — unsolved
-
-- `robots.txt` allows crawling, but disallows `/szukaj/`, `/p/`, `/g2/`,
-  `/cms/`, `/do_druku/`. `/g2/` looks like the file store, which likely means
-  **report PDFs are off-limits to crawlers**.
-- `/kontrole/wyniki-kontroli-nik/` returns 200 (~72 kB) but the report list is
-  **JS-rendered**: zero report links in the server HTML, only pagination
-  scaffolding (`fmax,js,strona,1.html`).
-- The `/prosta/` ("simple") variant is also JS-rendered — 0 report links.
-- No `/sitemap.xml` (404).
-
-Same shape as ZPE: a backend API almost certainly exists and would need to be
-found (check the page's JS config for an `apiUrl`, as worked for ZPE).
-
-### Verdict rationale
-
-Register value is real — long-form analytical prose, unlike statute text. But
-between a bespoke license, a third-party-content carve-out, PDF paths blocked by
-`robots.txt`, and unsolved enumeration, this is several days of work. Lower
-priority than ParlaMint-PL or Sejm interpelacje.
-
----
-
-## Billion-scale survey — what can actually move the totals
-
-**Investigated:** 2026-08-27
-
-Context: most candidates land at 30–200M tokens, which is noise against a 9.68B
-corpus. This entry records the only options measured at **500M–5B**, i.e.
-comparable to `european_hplt_v3_pl` (2.56B), `eurlex` (2.38B), `parliamentary`
-(1.65B). All numbers below were measured on the day, not taken from cards.
-
-Token conversion throughout: **2.654 tokens/word**, measured on the repo's own
-`parliamentary` shard (6,000 docs / 9.7M words, cl100k). Use it instead of
-guessing — Polish runs far above the ~1.3 rule of thumb for English.
-
-| candidate | measured | est. tokens | license | blocker |
-|---|---|---|---|---|
-| SAOS judgments | 540,338 docs, mean 3,067 w | **~4.4B** (floor ~2.8B) | art. 4 pkt 2 pr. aut. | register: pure legal |
-| FineWeb-2 `pol_Latn` | 152,003,298 docs, 225.9 GB | ~83B raw, **4–8B** filtered | ODC-By | dedup vs existing HPLT |
-| PleIAs/Polish-PD | 68,176 docs, 0.75B words | **~2.0B** nominal | public domain | OCR corruption |
-| HPLT leftovers | shards `8_5`, `8_6`, 31.6 GB | ~230M | CC0 | none — just small |
-
-### SAOS — biggest clean win, already half-built
-
-`https://www.saos.org.pl/api/search/judgments?pageSize=1&pageNumber=0` reports
-`totalResults: 540338`. Sampled 100 judgments from
-`api/dump/judgments?pageSize=100&pageNumber=0`: **mean 3,067 words, median 1,920,
-p10 816, p90 7,197**, court types `COMMON` and `CONSTITUTIONAL_TRIBUNAL`.
-
-540,338 × 3,067 = 1.66B words → **~4.4B tokens**. Using the median instead, to
-guard against long-tail skew, still gives ~2.75B. Either way this is **larger
-than any shard currently in the corpus**.
-
-`src/fetch_saos.py` already exists (uncommitted as of this date) and documents the
-legal basis: judgments are *materiały urzędowe* outside copyright under art. 4
-pkt 2 pr. aut., redistributed by SAOS (CeON/ICM UW + Fundacja ePaństwo) through a
-bulk-dump API built for exactly this.
-
-Open question before building: judgments are court-anonymised, but that should be
-**verified on sampled text**, not assumed — this is the one candidate here where
-personal data is a live risk rather than a formality.
-
-Cost of shipping it: legal/official goes from **48% to roughly 65%** of the
-corpus. That is the trade, and it should be a deliberate decision rather than a
-side effect of it being the easy build.
-
-### FineWeb-2 Polish — only billion-scale contemporary prose
-
-`datasets-server` size endpoint, config `pol_Latn`: **152,003,298 rows /
-225.9 GB**. At the measured 0.367 tokens/char that is **~83B tokens raw**.
-
-License `odc-by`. Same argument shape as the accepted HPLT basis: the packaging
-is licensed, the underlying web text is not owned by the publisher. Note that
-ODC-By is **attribution-required**, unlike HPLT's CC0 — a different obligation
-shape, and it has to be stated in the datasheet.
-
-#### Dedup is not the bottleneck — this was checked, not assumed
-
-The obvious worry is overlap with the existing HPLT shard, since both derive from
-Common Crawl. It is the *smallest* of the problems:
-
-- The existing HPLT shard is **1.6M docs against FineWeb-2's 152M**. Even total
-  overlap removes ~1% of candidates (~12% if working from the HQ subset below).
-- **Internal dedup is already done upstream.** The schema carries
-  `minhash_cluster_size`, i.e. FineWeb-2 ran MinHash per language before release.
-
-Cross-dedup against HPLT is still worth doing for hygiene, and the repo still has
-no committed near-dedup tooling — but it is not what makes this source expensive.
-
-#### The actual blocker: the HPLT gate cannot be ported
-
-FineWeb-2 `pol_Latn` columns are:
-
-```
-text, id, dump, url, date, file_path, language,
-language_score, language_script, minhash_cluster_size, top_langs
-```
-
-`src/clean_hplt_v3.py` filters on **WDS quality score, register class
-(ID/OP/HI/IN/NA), and MT-probability**. *None of those exist in FineWeb-2.* Every
-signal the existing web pipeline depends on is absent, so "filter it like we
-filtered HPLT" is not an option — it would mean building quality classification
-over 152M documents from scratch.
-
-#### `epfml/FineWeb2-HQ` — the better target
-
-A published quality-filtered derivative, config `pol_Latn`:
-
-- **13,384,885 rows**, `odc-by`, 180.4 GB parquet (size dominated by an
-  `embeddings` column, not text).
-- Adds a **`quality_score`** column, retained per document, so the selection
-  threshold stays a tunable knob instead of a baked-in decision — and the
-  classifier is someone else's published work, which is easier to cite than a
-  home-grown one.
-- Sampled 880 docs across 22 evenly-spread offsets: **mean 2,663 chars/doc**
-  → ~13.1B tokens for the whole HQ subset. Larger than the entire current corpus.
-
-#### quality_score → token yield
-
-Distribution from the `statistics` endpoint (computed on a **partial 407,184-row
-sample**, not all 13.4M): min 0.013, max 0.9999, mean 0.145, **median 0.0496** —
-heavily right-skewed, so most of HQ still scores low.
-
-Doc fractions from that histogram, mean lengths from the 880-doc sample:
-
-| `quality_score` ≥ | % docs | docs | mean chars | est. tokens |
-|---|---:|---:|---:|---:|
-| 0.00 (all) | 100% | 13,384,885 | 2,663 | **13.1B** |
-| 0.11 | 31.0% | 4,149,000 | 2,375 | **3.6B** |
-| 0.21 | 20.0% | 2,677,000 | 2,074 | **2.0B** |
-| 0.31 | 14.6% | 1,954,000 | 1,929 | **1.4B** |
-| 0.41 | 11.1% | 1,486,000 | 1,912 | **1.0B** |
-| 0.51 | 8.5% | 1,138,000 | 1,798 | **0.75B** |
-| 0.70 | 4.8% | 642,000 | 1,750 | **0.41B** |
-| 0.90 | 1.8% | 241,000 | 914 | **0.08B** |
-
-A second pass computing fractions directly from the 880-doc sample agreed with
-these within ~15%. Treat them as ±20%, good enough to pick a threshold.
-
-**Watch out: `quality_score` anti-correlates with document length.** Mean length
-falls from 2,663 chars at no threshold to 914 at ≥0.90. The classifier is not
-rewarding long-form prose, so raising the threshold costs more tokens than the
-doc-count alone implies, and it may actively select *against* the extended prose
-this corpus is short on. Sample the text at whatever threshold is chosen before
-committing to it.
-
-#### Recommended operating point
-
-**Threshold ≈ 0.20 → ~2.7M docs, ~2.0–2.3B tokens.** Comparable to the largest
-existing shards (`european_hplt_v3_pl` 2.56B, `eurlex` 2.38B) and it *improves*
-the balance rather than wrecking it: web goes 26% → ~41%, legal drops 48% → ~39%.
-
-Taking all 13.1B instead would put the corpus at ~22.7B with **web at ~69%** —
-trading "two-thirds legalese" for "two-thirds crawl". Same failure, different axis.
-
-#### Work order if this is built
-
-1. Pick HQ vs full, and a `quality_score` threshold (see above).
-2. **Build the PII scrub.** `sources.py` already claims one for the HPLT shard
-   that has no implementing code in `src/`; shipping a second web source with the
-   same gap is indefensible.
-3. Near-dedup against the existing HPLT shard — needed, but ~1–12% effect.
-4. Compute. Tokenizing billions of tokens is the genuinely expensive step.
-
-### PleIAs/Polish-PD — good on paper, rough in practice
-
-68,176 rows. Sampled `word_count` at four offsets (n=200): **mean 10,971 words,
-median 8,468** → ~0.75B words → **~2.0B tokens**. Columns are `identifier`,
-`file`, `title`, `creator`, `language`, `word_count`, `character_count`,
-`complete_text`. Public domain, pre-1884 monographs and periodicals, largely
-sourced from Polish digital libraries (`jbc.bj.uj.edu.pl` in the sample).
-
-Register-wise this is the most attractive of the three — books and periodicals,
-against a corpus that is only 1.9% literature.
-
-But the OCR is bad. First sampled record (an 1817 newspaper) opens:
-
-```
-U
-RUSKI
-czwaRTEŁ SONAER
-5 PC Nę R
-WIADOMOŚC
-```
-
-with pre-1884 orthography throughout (`Nayiaśnieyszy`, `roskazać`, `klassy`).
-
-**The existing OCR gate will not catch this.** `build_dynaword.py` applies
-`MIN_ALPHA_RATIO = 0.70` when `is_ocr: True`, which tests the ratio of letters to
-symbols. Garbled *words* made of ordinary letters pass it cleanly. Filtering this
-source needs a dictionary- or perplexity-based check, which does not exist here.
-Treat the 2.0B as nominal; real usable yield is materially lower.
-
-### HPLT is exhausted — correction to an earlier assumption
-
-`https://data.hplt-project.org/three/sorted/pol_Latn/` lists **exactly 19 shards**:
-`10_1`, `9_1`–`9_4`, `8_1`–`8_6`, `7_1`–`7_4`, `6_1`–`6_2`, `5_1`–`5_2`.
-**There are no WDS bins below 5 for Polish.**
-
-`sources.py` records 17 of those as ingested. The only unused shards are
-**`8_5` (24.24 GB)** and **`8_6` (7.37 GB)** — roughly 230M tokens at the
-post-filter rate implied by the existing shard.
-
-So "add more HPLT bins" is not a path to billions. It is one small top-up, and
-then the source is finished.
-
-### Conclusion
-
-Every clean billion-scale Polish source is **legal, official, or archaic** —
-which follows directly from what falls outside copyright. The only billion-scale
-contemporary general prose is web crawl, and that is a re-derivation of Common
-Crawl the corpus already draws on.
-
-If the goal is raw scale: SAOS. If the goal is a corpus that is not two-thirds
-legalese, **there is no billion-scale option**, and the honest plan is a number of
-50–200M-token sources across different registers.

artifacts/uzp_orzeczenia_pl_ontology_manifest.json

@@ -1,134 +0,0 @@
-{
-  "actors": [
-    {
-      "id": "actor:piotrsty",
-      "type": "Contributor"
-    },
-    {
-      "id": "actor:uzp",
-      "type": "Organization"
-    },
-    {
-      "id": "actor:devin",
-      "type": "Agent"
-    }
-  ],
-  "claims": [
-    {
-      "falsification_condition": "The pinned Parquet, decisions or overlap report do not reproduce these counts.",
-      "id": "claim:uzp-target-retention",
-      "statement": "The proposed DynaWord slice contains 34715 records after excluding 0 signature overlaps.",
-      "supported_by": [
-        "evidence:uzp-target-stats:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0",
-        "evidence:uzp-target-overlap:d70053726c85373e3411cc28da26c3aeffbd25cf9adf7c30a3ecdda3ebeaef10"
-      ]
-    },
-    {
-      "falsification_condition": "Target-wide text deduplication and controlled ablations establish those properties.",
-      "id": "claim:uzp-training-value-untested",
-      "statement": "Net text novelty and training benefit remain untested hypotheses.",
-      "supported_by": [
-        "evidence:uzp-target-overlap:d70053726c85373e3411cc28da26c3aeffbd25cf9adf7c30a3ecdda3ebeaef10"
-      ]
-    }
-  ],
-  "evidence": [
-    {
-      "artifact": "data/uzp_orzeczenia_pl/uzp_orzeczenia_pl.stats.json",
-      "content_address": "57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0",
-      "id": "evidence:uzp-target-stats:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0",
-      "observation_type": "target_slice_counts",
-      "produced_by": "run:uzp-orzeczenia-dynaword-integration:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0"
-    },
-    {
-      "artifact": "data/uzp_orzeczenia_pl/uzp_orzeczenia_pl.overlap_audit.json",
-      "content_address": "d70053726c85373e3411cc28da26c3aeffbd25cf9adf7c30a3ecdda3ebeaef10",
-      "id": "evidence:uzp-target-overlap:d70053726c85373e3411cc28da26c3aeffbd25cf9adf7c30a3ecdda3ebeaef10",
-      "observation_type": "metadata_overlap_audit",
-      "produced_by": "run:uzp-orzeczenia-dynaword-integration:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0"
-    }
-  ],
-  "objects": [
-    {
-      "id": "object:dataset:uzp-orzeczenia-pl",
-      "type": "Dataset"
-    },
-    {
-      "id": "object:dataset:uzp-orzeczenia-pl-dynaword-slice",
-      "type": "Dataset"
-    }
-  ],
-  "pending": [
-    "formal legal review of art. 4(2) application",
-    "cross-source text deduplication",
-    "benchmark contamination check",
-    "review of quoted third-party text",
-    "controlled training ablation"
-  ],
-  "protocols": [
-    {
-      "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"
-    }
-  ],
-  "relations": [
-    {
-      "predicate": "DERIVED_FROM",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
-      "target": "hf:dataset:PiotrSty/uzp-orzeczenia-pl@696485691e9f8cb85d1a34221897250e25359ba0"
-    },
-    {
-      "predicate": "GENERATED_BY",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
-      "target": "run:uzp-orzeczenia-dynaword-integration:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0"
-    },
-    {
-      "predicate": "VALIDATED_AGAINST",
-      "source": "version:dataset:uzp-orzeczenia-pl-dynaword:2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
-      "target": "hf:dataset:SlayerLab/polish-dynaword@bade8e7cae51bd30e9530c3be38dd0e3eeba1f70"
-    }
-  ],
-  "runs": [
-    {
-      "actor": "actor:devin",
-      "finished_at": "2026-09-19T06:14:52.208957+00:00",
-      "id": "run:uzp-orzeczenia-dynaword-integration:57384373cb2c3883fb240ab0468d309dc62893a01ccd939f25081a931a1c20c0",
-      "protocol": "protocol:uzp-orzeczenia-dynaword-integration-v1",
-      "started_at": "2026-09-19T06:14:52.208957+00:00",
-      "stats": {
-        "added": "2026-09-17",
-        "characters": 1110428704,
-        "enumerated": 35694,
-        "kept": 34715,
-        "license_counts": {
-          "public-domain (official documents)": 34715
-        },
-        "per_kind": {
-          "KIO": 34412,
-          "SA": 3,
-          "SN": 2,
-          "SO": 1277
-        },
-        "sample_count": 12,
-        "source_slice_kept": 34715,
-        "target_overlap_excluded": 0,
-        "target_revision": "bade8e7cae51bd30e9530c3be38dd0e3eeba1f70",
-        "tokens": 422043881
-      },
-      "success": true
-    }
-  ],
-  "schema": "slayer-research-ontology-profile-v1",
-  "versions": [
-    {
-      "content_address": "696485691e9f8cb85d1a34221897250e25359ba0",
-      "id": "hf:dataset:PiotrSty/uzp-orzeczenia-pl@696485691e9f8cb85d1a34221897250e25359ba0",
-      "object": "object:dataset:uzp-orzeczenia-pl"
-    },
-    {
-      "content_address": "2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
-      "id": "version:dataset:uzp-orzeczenia-pl-dynaword:2c7a13f99ee5571aa66a4d576a6b6705a3a896675ffc93d889447ca0ed9aae1a",
-      "object": "object:dataset:uzp-orzeczenia-pl-dynaword-slice"
-    }
-  ]
-}

data/biblioteka_nauki/biblioteka_nauki.md

@@ -1,60 +0,0 @@
-# biblioteka_nauki
-
-Biblioteka Nauki — Polish open-access scholarly corpus (scientific articles, books, chapters)
-
-## Dataset description
-- **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 — CC BY 4.0 28,335 · CC BY-SA 4.0 13,733 · Public Domain 3
-- **Created (range):** per-document publication year, from each item's bibliotekanauki.pl metadata
-- **Added:** 2026-06-27
-
-## Licensing — traceable basis
-The 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 | documents |
-|---|---:|
-| CC BY 4.0 | 28,335 |
-| CC BY-SA 4.0 | 13,733 |
-| Public Domain | 3 |
-
-The per-document license is carried in the parquet `license` column.
-
-## Attribution
-Per-document attribution (author · year · title · publisher) was re-fetched 1:1 from
-bibliotekanauki.pl (43,576 / 43,576 ok) and is carried in the parquet `attribution` column,
-satisfying the CC BY / CC BY-SA attribution requirement that applies to every document here.
-
-## Provenance
-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) |
-|---:|---:|---:|
-| 42,071 | 1,748,333,935 | 673,488,831 |
-
-## Filters applied (build_dynaword.py)
-Minimal, per Dynaword guidelines (heavy filtering left to downstream use):
-- drop documents < 200 chars: **0**
-- drop non-Polish (diacritic ratio): **925**
-- exact cross-source dedup (sha1): **180**
-- OCR alpha-ratio < 0.70 (OCR source): **400**
-- read 43,576 → kept 42,071
-
-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 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
-  dates are not available.

data/biblioteka_nauki/biblioteka_nauki.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:cc93cdd5ca3e6576a1da0aa294df1308e879b8516ac30911289e430c69a07b26
-size 1076638904

data/biblioteka_nauki/biblioteka_nauki.stats.json

@@ -1,12 +0,0 @@
-{
-  "read": 43576,
-  "kept": 42071,
-  "drop_short": 0,
-  "drop_lang": 925,
-  "drop_dup": 180,
-  "drop_ocr": 400,
-  "chars": 1748333935,
-  "tokens": 673488831,
-  "secs": 484.1,
-  "license": "CC-BY-4.0 / CC-BY-SA-4.0"
-}

data/biblioteka_nauki/recover_attribution.py

@@ -1,125 +0,0 @@
-#!/usr/bin/env python3
-"""Targeted attribution pass for the CLEAN (CC-BY/CC-BY-SA/PD) Biblioteka Nauki ids ONLY.
-The first recovery pass stored the license correctly but parsed the wrong attribution fields.
-CC-BY/CC-BY-SA legally REQUIRE attribution, so re-fetch just the ~43.6k clean ids and extract:
-  authors = contributors[role=AUTHOR] firstName+lastName ; year = dates[PUBLISHED].date.year ;
-  title = mainTitle.text ; publisher = publishingCompanyInfo.name
-
-  licenses.jsonl -> attribution.jsonl  {type,id,license,authors,year,title,publisher}
-Resumable, threaded, polite. ~43.6k calls.
-"""
-import json, os, random, sys, threading, time
-from concurrent.futures import ThreadPoolExecutor, as_completed
-import requests
-
-HERE = os.path.dirname(os.path.abspath(__file__))
-LIC = os.path.join(HERE, "licenses.jsonl")
-OUT = os.path.join(HERE, "attribution.jsonl")
-PROG = os.path.join(HERE, "attribution_progress.txt")
-CLEAN = {"cc-by", "cc-by-sa", "cc0", "public-domain"}
-WORKERS = 8
-UA = ("Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 "
-      "(KHTML, like Gecko) Chrome/124 Safari/537.36")
-HEADERS = {"User-Agent": UA, "Accept": "application/json", "Referer": "https://bibliotekanauki.pl/"}
-_local = threading.local()
-_wlock = threading.Lock()
-
-
-def session():
-    s = getattr(_local, "s", None)
-    if s is None:
-        s = requests.Session()
-        s.headers.update(HEADERS)
-        s.mount("https://", requests.adapters.HTTPAdapter(pool_connections=4, pool_maxsize=4))
-        _local.s = s
-    return s
-
-
-def parse(d):
-    authors = []
-    for c in (d.get("contributors") or []):
-        if c.get("role") == "AUTHOR":
-            nm = f"{c.get('firstName','') or ''} {c.get('lastName','') or ''}".strip()
-            if nm:
-                authors.append(nm)
-    year = None
-    dates = d.get("dates") or []
-    for dt in dates:
-        if dt.get("type") == "PUBLISHED":
-            year = (dt.get("date") or {}).get("year")
-            break
-    if not year and dates:
-        year = (dates[0].get("date") or {}).get("year")
-    title = (d.get("mainTitle") or {}).get("text")
-    pub = (d.get("publishingCompanyInfo") or {}).get("name")
-    return authors[:20], (str(year) if year else None), title, pub
-
-
-def fetch(item):
-    typ, _id, lic = item
-    url = f"https://bibliotekanauki.pl/api/{typ}/{_id}"
-    for attempt in range(4):
-        try:
-            r = session().get(url, timeout=25)
-            if r.status_code == 200:
-                a, y, t, p = parse(r.json())
-                return {"type": typ, "id": _id, "license": lic,
-                        "authors": a, "year": y, "title": t, "publisher": p, "status": "ok"}
-            if r.status_code in (403, 404, 410):
-                return {"type": typ, "id": _id, "license": lic, "status": f"http{r.status_code}"}
-            time.sleep((2 ** attempt) + random.random())
-        except Exception as e:
-            if attempt == 3:
-                return {"type": typ, "id": _id, "license": lic, "status": f"err:{type(e).__name__}"}
-            time.sleep((2 ** attempt) + random.random())
-    return {"type": typ, "id": _id, "license": lic, "status": "err:retries"}
-
-
-def main():
-    best = {}
-    for l in open(LIC, encoding="utf-8"):
-        try:
-            r = json.loads(l)
-        except Exception:
-            continue
-        best[(r["type"], r["id"])] = r
-    clean = [(t, i, r["iconId"]) for (t, i), r in best.items()
-             if r.get("status") == "ok" and r.get("iconId") in CLEAN]
-    done = set()
-    if os.path.exists(OUT):
-        for l in open(OUT, encoding="utf-8"):
-            try:
-                r = json.loads(l)
-                done.add((r["type"], r["id"]))
-            except Exception:
-                pass
-    todo = [c for c in clean if (c[0], c[1]) not in done]
-    print(f"clean={len(clean)} done={len(done)} todo={len(todo)} workers={WORKERS}", flush=True)
-
-    out = open(OUT, "a", encoding="utf-8")
-    n = len(done)
-    t0 = time.time()
-    counts = {}
-    with ThreadPoolExecutor(max_workers=WORKERS) as ex:
-        futs = [ex.submit(fetch, c) for c in todo]
-        for fut in as_completed(futs):
-            res = fut.result()
-            with _wlock:
-                out.write(json.dumps(res, ensure_ascii=False) + "\n")
-            n += 1
-            counts[res.get("status")] = counts.get(res.get("status"), 0) + 1
-            time.sleep(random.uniform(0.02, 0.10))
-            if n % 500 == 0:
-                out.flush()
-                rate = (n - len(done)) / max(time.time() - t0, 1)
-                eta = (len(clean) - n) / max(rate, 0.1) / 60
-                msg = f"{n}/{len(clean)} {rate:.1f}/s ETA {eta:.0f}m " + \
-                      " ".join(f"{k}={v}" for k, v in sorted(counts.items()))
-                print(msg, flush=True)
-                open(PROG, "w").write(msg + "\n")
-    out.flush(); out.close()
-    print(f"DONE attribution: {n}/{len(clean)} counts={counts}", flush=True)
-
-
-if __name__ == "__main__":
-    main()

data/biblioteka_nauki/recover_licenses.py

@@ -1,171 +0,0 @@
-#!/usr/bin/env python3
-"""Pass 2: recover the per-item license for every Biblioteka Nauki doc via the public API.
-  index.jsonl  ->  GET bibliotekanauki.pl/api/{type}/{id}  ->  licenses.jsonl
-
-Resumable (skips ids already in licenses.jsonl), polite (modest concurrency + jitter + backoff),
-keep-alive sessions, and a circuit-breaker if the host starts blocking us.
-
-Output line: {type,id, iconId, cc(bool), restricted(bool), authors, year, source, status}
-  status: "ok" | "http404" | "http403" | "err:<Type>"
-"""
-import json, os, random, sys, threading, time
-from concurrent.futures import ThreadPoolExecutor, as_completed
-import requests
-
-HERE = os.path.dirname(os.path.abspath(__file__))
-INDEX = os.path.join(HERE, "index.jsonl")
-OUT = os.path.join(HERE, "licenses.jsonl")
-PROG = os.path.join(HERE, "recover_progress.txt")
-
-WORKERS = 8
-TIMEOUT = 25
-MAX_RETRY = 4
-UA = ("Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 "
-      "(KHTML, like Gecko) Chrome/124 Safari/537.36")
-HEADERS = {"User-Agent": UA, "Accept": "application/json", "Referer": "https://bibliotekanauki.pl/"}
-
-_local = threading.local()
-_write_lock = threading.Lock()
-_recent = []            # rolling window of recent statuses for the circuit breaker
-_recent_lock = threading.Lock()
-_stop = threading.Event()
-
-
-def session():
-    s = getattr(_local, "s", None)
-    if s is None:
-        s = requests.Session()
-        s.headers.update(HEADERS)
-        a = requests.adapters.HTTPAdapter(pool_connections=4, pool_maxsize=4)
-        s.mount("https://", a)
-        _local.s = s
-    return s
-
-
-def load_done():
-    done = set()
-    if os.path.exists(OUT):
-        with open(OUT, encoding="utf-8") as f:
-            for line in f:
-                try:
-                    r = json.loads(line)
-                    done.add((r["type"], r["id"]))
-                except Exception:
-                    pass
-    return done
-
-
-def fetch(item):
-    if _stop.is_set():
-        return None
-    typ, _id = item["type"], item["id"]
-    url = f"https://bibliotekanauki.pl/api/{typ}/{_id}"
-    for attempt in range(MAX_RETRY):
-        try:
-            r = session().get(url, timeout=TIMEOUT)
-            if r.status_code == 200:
-                d = r.json()
-                lic = d.get("license") or {}
-                authors = []
-                for c in (d.get("contributors") or []):
-                    nm = (c.get("name") or "").strip()
-                    if nm:
-                        authors.append(nm)
-                year = None
-                for dt in (d.get("dates") or []):
-                    y = str(dt.get("year") or dt.get("value") or "")[:4]
-                    if y.isdigit():
-                        year = y
-                        break
-                insts = d.get("publicationInstitutions") or d.get("journal") or None
-                if isinstance(insts, list):
-                    insts = "; ".join(x.get("name", "") if isinstance(x, dict) else str(x) for x in insts) or None
-                return {
-                    "type": typ, "id": _id,
-                    "iconId": lic.get("iconId"),
-                    "cc": bool(lic.get("creativeCommons")),
-                    "restricted": bool(d.get("restricted")),
-                    "authors": authors[:12],
-                    "year": year,
-                    "source": insts,
-                    "status": "ok",
-                }
-            if r.status_code in (403,):
-                return {"type": typ, "id": _id, "status": "http403"}
-            if r.status_code in (404, 410):
-                return {"type": typ, "id": _id, "status": "http404"}
-            # 429 / 5xx -> backoff & retry
-            time.sleep((2 ** attempt) + random.random())
-        except Exception as e:
-            if attempt == MAX_RETRY - 1:
-                return {"type": typ, "id": _id, "status": f"err:{type(e).__name__}"}
-            time.sleep((2 ** attempt) + random.random())
-    return {"type": typ, "id": _id, "status": "err:retries"}
-
-
-def note(status):
-    with _recent_lock:
-        _recent.append(status)
-        if len(_recent) > 200:
-            _recent.pop(0)
-        # circuit breaker: >60% 403 over a full window => host is blocking us
-        if len(_recent) == 200 and sum(1 for s in _recent if s == "http403") > 120:
-            _stop.set()
-
-
-def main():
-    if not os.path.exists(INDEX):
-        sys.exit(f"missing {INDEX} — run build_index.py first")
-    items = []
-    with open(INDEX, encoding="utf-8") as f:
-        for line in f:
-            try:
-                r = json.loads(line)
-                items.append({"type": r["type"], "id": r["id"]})
-            except Exception:
-                pass
-    done = load_done()
-    todo = [it for it in items if (it["type"], it["id"]) not in done]
-    total = len(items)
-    print(f"index={total}  done={len(done)}  todo={len(todo)}  workers={WORKERS}", flush=True)
-
-    n = len(done)
-    t0 = time.time()
-    out = open(OUT, "a", encoding="utf-8")
-    counts = {}
-    try:
-        with ThreadPoolExecutor(max_workers=WORKERS) as ex:
-            futs = [ex.submit(fetch, it) for it in todo]
-            for fut in as_completed(futs):
-                res = fut.result()
-                if res is None:
-                    continue
-                with _write_lock:
-                    out.write(json.dumps(res, ensure_ascii=False) + "\n")
-                n += 1
-                st = res.get("status", "?")
-                counts[st] = counts.get(st, 0) + 1
-                note(st)
-                # politeness jitter (per completed task; with 8 workers ~ a few hundred req/min)
-                time.sleep(random.uniform(0.02, 0.12))
-                if n % 500 == 0:
-                    out.flush()
-                    rate = (n - len(done)) / max(time.time() - t0, 1)
-                    eta = (total - n) / max(rate, 0.1) / 60
-                    msg = (f"{n}/{total}  {rate:.1f}/s  ETA {eta:.0f}m  "
-                           + " ".join(f"{k}={v}" for k, v in sorted(counts.items())))
-                    print(msg, flush=True)
-                    with open(PROG, "w") as p:
-                        p.write(msg + "\n")
-                if _stop.is_set():
-                    print("!! circuit breaker tripped (sustained 403) — stopping. Re-run later to resume.", flush=True)
-                    break
-    finally:
-        out.flush()
-        out.close()
-    print(f"FINISHED pass: wrote {n}/{total}. counts={counts}", flush=True)
-    print("Next: build_parquet.py to assemble the CC-BY/SA subset.", flush=True)
-
-
-if __name__ == "__main__":
-    main()

data/european_hplt_v3_pl/european_hplt_v3_pl.md

@@ -0,0 +1,57 @@
+# european_hplt_v3_pl
+
+Filtered Polish subset of **HPLT v3.0** (`pol_Latn`), top quality bins (WDS = 10 and 9), merged into one file.
+
+## Dataset description
+- **Source (upstream):** https://hplt-project.org/datasets/v3.0 (`pol_Latn`, shards `10_1` [WDS=10] + `9_1` prefix [WDS=9])
+- **Domain:** web (modern natural Polish — informational, narrative, opinion, how-to, discussion)
+- **Language:** Polish (pl)
+- **License:** `CC0-1.0` (packaging; see licensing note)
+- **Created (range):** web crawls 2012-2024 (Internet Archive + Common Crawl)
+- **Added:** 2026-07-14
+
+## Licensing - traceable basis
+HPLT licenses the **packaging** of these text data under Creative Commons CC0 1.0 ("no rights reserved"),
+per the HPLT v3.0 Terms of Use (hplt-project.org/datasets/v3.0) and the HF card `HPLT/HPLT3.0`.
+HPLT does not own the underlying web text; a notice-and-takedown policy applies and downstream users
+remain responsible for compliance (EU CDSM Directive 2019/790, GDPR). This is a web-crawl source: it is
+offered at parity with the already-listed `european-hplt-v1` (CC0) basis and still needs maintainer
+web/legal review (`accept_after_web_review`), not auto-accept.
+
+## Provenance
+Fetched directly from the HPLT distribution (`data.hplt-project.org/three/sorted/pol_Latn/{10_1,9_1}.jsonl.zst`),
+NOT via SpeakLeash. HPLT v3 is globally deduplicated upstream and sorted into Web-Docs-Scorer (WDS) quality
+bins; only the two top bins are used. Per-document URL, WDS score, web-register, MT-probability and PII spans
+are available in the raw HPLT record and were used for filtering (not retained in the released canonical schema).
+
+## Statistics
+| documents | characters | tokens (tiktoken cl100k proxy) |
+|---:|---:|---:|
+| 110,590 | 1,426,290,944 | 512,383,778 |
+
+Composition (single merged parquet): bin-10 (WDS=10) 55,590 docs / 261,468,813 tok;
+bin-9 (WDS=9) 55,000 docs / 250,914,965 tok. See `european_hplt_v3_pl.stats.json` for the per-bin + drop breakdown.
+
+## Per-document license metadata
+| license | documents |
+|---|---:|
+| `CC0-1.0` | 110,590 |
+
+## Filters applied (src/clean_hplt_v3.py; thresholds inherited from src/filter_european_hplt.py)
+Per-shard keep: bin-10 55,590/195,874 (28.4%), bin-9 55,000/152,380 (36.1%). Drop reasons:
+`register` (not ID/OP/HI/IN/NA), `machine_translated` (MT>=0.20), `domain`
+(wikipedia/wikisource/wikimedia + file-hosts excluded), `adult_spam`, `legalish` (drops legal/parliamentary
+phrasing - serves the anti-legalese goal), `boilerplate`, `too_long` (>120k chars = book-length copyright/OCR
+risk), `mojibake` (>=3 CJK/replacement chars - upstream HPLT UTF-8->GBK mis-decode), `filehost` (PDF/file-share
+headers), `domain_cap` (>250 docs/domain). MT-probability of kept docs: mean ~0.08. Mojibake residual: 0.
+
+## Status & caveats (web-crawl - NOT "release-clean")
+- **Copyright is not fully solved by filtering.** The length cap removes obvious book-length works, but
+  in-copyright text recurs in web-crawl at ALL lengths (news reprints, blog reposts, excerpts). Inherent to
+  web sources; the reason HPLT ships CC0-on-packaging + notice-and-takedown.
+- **Near-dup NOT removed** (Dynaword leaves heavy filtering downstream). ~11.8% of an HPLT sample's 8-grams
+  overlap Polish Wikipedia; wikipedia/wikisource domain exclusion mitigates the largest sources, but
+  cross-source near/containment dedup vs the full corpus remains a downstream step.
+- Surface-metric parity with accepted sources: mojibake 0%, boilerplate ~0.2%, diacritic-ratio ~0.066,
+  TTR@500 ~0.64 (within the accepted range, ~= parliamentary). ~9% commercial/SEO-adjacent pages (web-inherent).
+- This is 2 top bins merged. The full `pol_Latn` corpus is ~270B raw tokens across WDS bins 10->5.

data/{rock_pollub_pl/rock_pollub_pl.parquet → european_hplt_v3_pl/european_hplt_v3_pl.parquet}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8fdae22e9c2f5307977f94c9e46d95fe5d198423f550a8087ee8d76fb09c1d9
-size 1267933
+oid sha256:6295b3280cef2b99e9bf511a1c48be9c94cd219455d2e9666ebf17363771b714
+size 610242503

data/european_hplt_v3_pl/european_hplt_v3_pl.stats.json

@@ -0,0 +1,41 @@
+{
+  "read": 348254,
+  "kept": 110590,
+  "drop_short": 0,
+  "drop_lang": 2,
+  "drop_dup": 0,
+  "drop_ocr": 0,
+  "chars": 1426290944,
+  "tokens": 512383778,
+  "licenses": {
+    "CC0-1.0": 110590
+  },
+  "authors_with_value": 0,
+  "license": "CC0-1.0",
+  "stats_recomputed_from_parquet": true,
+  "drop_detail": {
+    "machine_translated": 46477,
+    "adult_spam": 18682,
+    "register": 128956,
+    "legalish": 15881,
+    "domain": 23234,
+    "boilerplate": 3183,
+    "mojibake": 241,
+    "too_long": 216,
+    "filehost": 7,
+    "lang_prob": 2,
+    "domain_cap": 785
+  },
+  "shards": {
+    "bin10_WDS10": {
+      "kept": 55590,
+      "tokens": 261468813
+    },
+    "bin9_WDS9": {
+      "kept": 55000,
+      "tokens": 250914965
+    }
+  },
+  "mt_prob_mean_kept": 0.08,
+  "source_repo": "HPLT/HPLT3.0 pol_Latn WDS bins 10+9 (data.hplt-project.org)"
+}

data/rock_pollub_pl/NOTICE.md

@@ -1,8 +0,0 @@
-# Notice and attribution
-
-Source collection: https://rock.pollub.pl/collections/a42db069-319d-4d51-88d1-490ee7e6bad8
-Publisher policy: https://wpl.pollub.pl/pl/i/Polityka-publikacyjna/20
-
-The eight retained books expose `CC-BY-SA-4.0` in both the item record and the metadata of the matched original PDF bitstream. Per-record authors, titles, source URLs, license evidence and source-file checksums are preserved in `artifacts/attribution.jsonl` and `artifacts/inventory.json`.
-
-Transformations: PDF text extraction with pdfplumber, Unicode and whitespace normalization, page-number-only removal, line-wrap repair, limited email and labelled-phone redaction, and within-source exact/near deduplication. Images are excluded. Isolated unreadable PDF glyphs are represented as `[UNREADABLE_GLYPH]`. Attribution and ShareAlike obligations remain applicable.

data/rock_pollub_pl/rock_pollub_pl.attribution.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7f402aa851f338dd7661310e886a140f551ce58d8cd42a04034104204c7b9ea9
-size 13279

data/rock_pollub_pl/rock_pollub_pl.decisions.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e60fe6b5610cf9453b432ffb4e5cb3630bf3b313a15e5042ea0a176feb1ea6d7
-size 1880

data/rock_pollub_pl/rock_pollub_pl.md

@@ -1,29 +0,0 @@
----
-license: cc-by-sa-4.0
-language:
-- pl
-task_categories:
-- text-generation
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-00000-of-00001.parquet
----
-
-# ROCK Politechnika Lubelska PL books
-
-A fail-closed Polish academic-book subset extracted from the official ROCK repository of Lublin University of Technology.
-
-- Retained books: 8
-- Text characters: 3,380,937
-- Tokens: 1,177,858 (`cl100k_base` proxy)
-- Author coverage: 100.0%
-- License: CC BY-SA 4.0, confirmed for every retained item and matched PDF bitstream
-- Source period: 2023-2026
-
-The acquisition target was 20 books, but only eight passed the conservative per-file rights gate. The other inspected candidates are not included. See `NOTICE.md` and `artifacts/` for attribution, decisions, the source inventory, deterministic complete-record samples, QA, checksums, overlap audit and Slayer ontology manifest.
-
-## Limitations
-
-PDF extraction can flatten tables and equations. Two isolated unreadable glyphs were marked explicitly. Pattern-based PII checks are not comprehensive de-identification. No title overlap was detected against the pinned `biblioteka_nauki` attribution column, but target-wide text deduplication, benchmark checks and controlled training ablations remain pending.

data/rock_pollub_pl/rock_pollub_pl.overlap_audit.json

@@ -1,61 +0,0 @@
-{
-  "candidate_records": 8,
-  "method": "normalized title substring; fallback SequenceMatcher >= 0.90 over attribution",
-  "observed_at": "2026-09-08T16:37:35.661794+00:00",
-  "records_with_exact_title_match": 0,
-  "records_with_fuzzy_title_match": 0,
-  "results": [
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "513c690d-72b3-4604-b62e-e21e44b91645",
-      "title": "Modelowanie i analiza eksperymentalna parametrów pracy modułów fotowoltaicznych w warunkach rzeczywistych"
-    },
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "e9e7a67e-c405-4968-b87a-0ff169c7b3d1",
-      "title": "Ćwiczenia i zadania ze wstępu do matematyki finansowej"
-    },
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "a6c38c5d-ba8f-47ac-a3e6-b50df14a595b",
-      "title": "Dobór architektury i parametrów procesu uczenia sieci neuronowych w doskonaleniu procesów produkcyjnych"
-    },
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "903f22e1-a2ab-4231-a402-2bc9535c12f2",
-      "title": "Wyzwania współczesnego publikowania"
-    },
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "0e26bff5-e51a-4d36-9524-fdef6e3e6ab7",
-      "title": "Symulacje Monte Carlo. Teoria i zastosowania"
-    },
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "032a14e5-5c8e-4153-9cf7-2dfd9e361e6d",
-      "title": "Zastosowanie uczenia maszynowego do obrazowania stanu zawilgocenia murów z wykorzystaniem tomografii impedancyjnej"
-    },
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "da87b1d3-7018-46fa-81bd-380f0780a1b3",
-      "title": "Zarządzanie współpracą instytucji państwa z diasporą. Przegląd teorii, analiza porównawcza wybranych państw"
-    },
-    {
-      "exact_title_matches": [],
-      "fuzzy_title_matches": [],
-      "item_id": "a257b1ce-1af7-4dfc-ae38-ec67ef877689",
-      "title": "Komputerowa grafika inżynierska. Ćwiczenia do programu AutoCAD 2023"
-    }
-  ],
-  "target": "SlayerLab/polish-dynaword:data/biblioteka_nauki",
-  "target_revision": "02bcb0b5f991a30f8454c6444f701633b71f69d4",
-  "target_rows": 42071,
-  "text_overlap": "not tested; target-wide text dedup remains an integration gate"
-}

data/rock_pollub_pl/rock_pollub_pl.qa.json

@@ -1,81 +0,0 @@
-{
-  "benchmark_overlap": "pending",
-  "biblioteka_nauki_overlap": {
-    "candidate_records": 8,
-    "method": "normalized title substring; fallback SequenceMatcher >= 0.90 over attribution",
-    "observed_at": "2026-09-08T16:37:35.661794+00:00",
-    "records_with_exact_title_match": 0,
-    "records_with_fuzzy_title_match": 0,
-    "results": [
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "513c690d-72b3-4604-b62e-e21e44b91645",
-        "title": "Modelowanie i analiza eksperymentalna parametrów pracy modułów fotowoltaicznych w warunkach rzeczywistych"
-      },
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "e9e7a67e-c405-4968-b87a-0ff169c7b3d1",
-        "title": "Ćwiczenia i zadania ze wstępu do matematyki finansowej"
-      },
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "a6c38c5d-ba8f-47ac-a3e6-b50df14a595b",
-        "title": "Dobór architektury i parametrów procesu uczenia sieci neuronowych w doskonaleniu procesów produkcyjnych"
-      },
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "903f22e1-a2ab-4231-a402-2bc9535c12f2",
-        "title": "Wyzwania współczesnego publikowania"
-      },
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "0e26bff5-e51a-4d36-9524-fdef6e3e6ab7",
-        "title": "Symulacje Monte Carlo. Teoria i zastosowania"
-      },
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "032a14e5-5c8e-4153-9cf7-2dfd9e361e6d",
-        "title": "Zastosowanie uczenia maszynowego do obrazowania stanu zawilgocenia murów z wykorzystaniem tomografii impedancyjnej"
-      },
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "da87b1d3-7018-46fa-81bd-380f0780a1b3",
-        "title": "Zarządzanie współpracą instytucji państwa z diasporą. Przegląd teorii, analiza porównawcza wybranych państw"
-      },
-      {
-        "exact_title_matches": [],
-        "fuzzy_title_matches": [],
-        "item_id": "a257b1ce-1af7-4dfc-ae38-ec67ef877689",
-        "title": "Komputerowa grafika inżynierska. Ćwiczenia do programu AutoCAD 2023"
-      }
-    ],
-    "target": "SlayerLab/polish-dynaword:data/biblioteka_nauki",
-    "target_revision": "02bcb0b5f991a30f8454c6444f701633b71f69d4",
-    "target_rows": 42071,
-    "text_overlap": "not tested; target-wide text dedup remains an integration gate"
-  },
-  "cross_source_dedup": "pending target integration",
-  "exact_dedup": true,
-  "license_gate": "CC-BY-SA-4.0 in item and matched PDF bitstream metadata",
-  "limitations": [
-    "PDF extraction may flatten tables and equations",
-    "third-party figures and quoted material are not included as images but textual excerpts require review",
-    "isolated PDF extraction replacement characters are represented as [UNREADABLE_GLYPH]",
-    "pattern checks are not comprehensive de-identification",
-    "pilot yield must not be extrapolated without a full inventory run"
-  ],
-  "near_dedup": "exact 5-word-shingle Jaccard >= 0.90 within pilot",
-  "pii_pattern_matches": {
-    "email": 2,
-    "labelled_phone": 0
-  },
-  "scope": "pilot target 20; acquired 8; not a completeness claim",
-  "target_reached": false
-}

data/rock_pollub_pl/rock_pollub_pl.stats.json

@@ -1,12 +0,0 @@
-{
-  "acquired": 8,
-  "added": "2026-09-08",
-  "author_coverage": 1.0,
-  "characters": 3380937,
-  "discovered_collection_items": 771,
-  "kept": 8,
-  "pilot_limit": 20,
-  "rejected": 0,
-  "sample_count": 8,
-  "tokens": 1177858
-}

data/samorzad_gov_pl/NOTICE.md

@@ -1,28 +0,0 @@
-# Attribution and licensing notice
-
-The `samorzad_gov_pl` source contains textual articles collected from public
-pages hosted on the shared [samorzad.gov.pl](https://samorzad.gov.pl/)
-platform.
-
-The platform footer states that textual content published in the service,
-excluding audiovisual content, is available under the [Creative Commons
-Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/)
-license (`CC-BY-SA-4.0`). Every source page retained in the published v0.1
-upstream dataset referenced the shared platform footer script.
-
-For every released DynaWord document:
-
-- the `author` column identifies the publishing institution;
-- `samorzad_gov_pl.attribution.jsonl` preserves the discovered `source_url`,
-  fetched `final_url`, recommended `attribution_url`, article title,
-  institution, tenant identifier, license URL and modification notice;
-- article text was extracted from source HTML, and this contribution normalizes
-  metadata and excludes short, non-Polish or duplicate records.
-
-When redistributing or adapting these texts, retain the source attribution,
-indicate changes and distribute adaptations under compatible
-`CC-BY-SA-4.0` terms.
-
-Photographs, videos, recordings and attachment bytes are not included. Their
-rights must be evaluated separately at the source. URLs and descriptive
-metadata in the attribution sidecar do not redistribute the linked files.

data/samorzad_gov_pl/samorzad_gov_pl.attribution.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e50acff3137b4680dc63a402667227b24cdd362e9c07895f1485a530ea5116c3
-size 68676369

data/samorzad_gov_pl/samorzad_gov_pl.license-evidence.json

@@ -1,17 +0,0 @@
-{
-  "checked_at": "2026-08-13T23:42:06Z",
-  "evidence_url": "https://samorzad.gov.pl/scripts/govpl_template.js?locale=pl_PL",
-  "etag": "W/\"0b36ec507901ed443195479d8d8009386\"",
-  "bytes": 9291,
-  "sha256": "b36ec507901ed443195479d8d8009386159ae59d7486ce266bfb3308043e99aa",
-  "text_license": "CC BY-SA 4.0",
-  "audiovisual_license": "CC BY-NC-ND 4.0 unless stated otherwise",
-  "release_scope": {
-    "records": 81422,
-    "tenants": 247,
-    "source_pages_referencing_shared_footer_script": 81422,
-    "source_pages_without_reference": 0,
-    "missing_source_artifacts": 0
-  },
-  "method": "Checked the live shared footer script and searched every preserved source HTML artifact in release v0.1 for /scripts/govpl_template.js?locale=pl_PL."
-}

data/samorzad_gov_pl/samorzad_gov_pl.md

@@ -1,138 +0,0 @@
-# samorzad_gov_pl
-
-Polish-language articles published by 246 local public institutions and one
-central platform tenant using the shared
-[samorzad.gov.pl](https://samorzad.gov.pl/) platform. The collection includes
-municipalities, counties, schools, social-service institutions, cultural
-institutions and other public bodies.
-
-## Dataset description
-
-- **Published source dataset:** https://huggingface.co/datasets/dawidmajewski/samorzad-gov-pl-articles
-- **Source revision:** `d5eaefc32c3f17cfa5a01d14573f8e4ee7d43385` (`v0.1`)
-- **Original platform:** https://samorzad.gov.pl/
-- **Domain:** local government, education, social services and culture
-- **Language:** Polish (`pl`)
-- **License:** `CC-BY-SA-4.0`
-- **Created:** 2020–2026 for dated records; most source records do not expose a date
-- **Added:** 2026-08-14
-
-## Statistics
-
-| read | kept | characters | tokens (`cl100k_base` proxy) | publishers |
-|---:|---:|---:|---:|---:|
-| 81,422 | 72,771 | 109,513,754 | 41,154,506 | 247 |
-
-The released Parquet uses the canonical DynaWord schema:
-
-`id, text, source, added, created, token_count, license, author`
-
-Every retained document has the human-readable name of its publishing
-institution in `author`. The names were obtained from the `og:site_name`
-metadata on each institution's platform homepage and frozen in
-`src/samorzad_gov_pl_publishers.json`.
-
-## Provenance
-
-The source release was collected directly from public samorzad.gov.pl pages.
-It contains every article URL found and successfully extracted during that
-crawl, rather than a topical or length-selected sample. The published source
-release contains 81,422 extracted articles from 247 institutions.
-
-`src/clean_samorzad_gov_pl.py` converts the published source Parquets into the
-DynaWord schema, applies the common minimum-length and Polish-language checks,
-removes exact duplicate text and counts tokens with `cl100k_base`. The retained
-article text is otherwise unchanged.
-
-## Licensing — traceable basis and attribution
-
-The platform's shared footer states that textual content published in the
-service, excluding audiovisual content, is available under CC BY-SA 4.0. A
-release-time audit verified the live shared footer script and confirmed that
-all 81,422 preserved source pages referenced that script. The evidence URL,
-byte count and SHA-256 digest are recorded in
-`samorzad_gov_pl.license-evidence.json`.
-
-The fixed DynaWord schema does not contain article titles or URLs. Therefore,
-`samorzad_gov_pl.attribution.jsonl` maps every released `id` to its title,
-discovered `source_url`, fetched `final_url`, recommended `attribution_url`,
-publishing institution, platform tenant, license URL and modification notice.
-For 693 retained records the discovered and final URLs differ because the
-platform redirected the request; `attribution_url` uses the fetched final URL.
-
-Recommended attribution:
-
-> Publishing institution listed in the `author` column; article title and
-> canonical samorzad.gov.pl URL from the attribution sidecar; CC BY-SA 4.0.
-> Article text was extracted from HTML and normalized for inclusion in Polish
-> DynaWord.
-
-Photographs, recordings, videos and attachment bytes are not redistributed.
-The source platform gives audiovisual materials separate terms, and linked
-attachments can carry their own conditions. URLs and descriptive metadata do
-not redistribute those files.
-
-## Filters applied
-
-| result | documents |
-|---|---:|
-| source records read | 81,422 |
-| shorter than 200 characters | 6,624 |
-| below the Polish-language heuristic | 35 |
-| exact duplicate text | 1,992 |
-| retained | 72,771 |
-
-Exact duplicate removal is performed after short-text and language checks.
-Existing DynaWord sources take priority when the same text is already present
-elsewhere in the corpus.
-
-## Limitations and recommended use
-
-- The collection is not a complete historical archive of samorzad.gov.pl. It
-  contains the pages found and successfully extracted during one crawl.
-- Only 21,892 of the 81,422 source records expose a publication date. After
-  filtering, 52,214 retained records have an empty `created` value; no date is
-  inferred for them.
-- The source text can contain spelling errors, extraction remnants or captions.
-- Very short source records are excluded by DynaWord's 200-character minimum.
-- Institution names describe the publishing body, not necessarily the person
-  who wrote an article.
-- Government and institutional language is overrepresented; this source should
-  complement, not stand in for, conversational or general Polish.
-- Canonical URLs may stop working as institutions update their websites.
-
-## Included files
-
-- `samorzad_gov_pl.parquet` — canonical DynaWord records;
-- `samorzad_gov_pl.stats.json` — build and release statistics;
-- `samorzad_gov_pl.attribution.jsonl` — per-document source attribution;
-- `samorzad_gov_pl.license-evidence.json` — release-time license evidence;
-- `NOTICE.md` — attribution and redistribution notice.
-
-## Reproduction
-
-The converter refuses to build unless the downloaded `manifest.json` and all
-10 Parquet shards match the pinned release. It verifies the manifest SHA-256,
-artifact set, shard sizes and SHA-256 values, row counts, schema, unique record
-IDs and the release-wide record-text digest before conversion. Outputs are
-written to temporary files, cross-checked, synced and transactionally replaced;
-a failed replacement restores the previous artifact set.
-
-Download the published source Parquet shards and run:
-
-```bash
-hf download dawidmajewski/samorzad-gov-pl-articles \
-  --repo-type dataset \
-  --revision d5eaefc32c3f17cfa5a01d14573f8e4ee7d43385 \
-  --include 'data/*.parquet' --include manifest.json \
-  --local-dir /tmp/samorzad-gov-pl-articles
-
-uv run --with pyarrow --with tiktoken python src/clean_samorzad_gov_pl.py \
-  --input /tmp/samorzad-gov-pl-articles/data \
-  --repo-root . \
-  --added 2026-08-14
-```
-
-Use `--refresh-publishers` only when intentionally updating the frozen
-institution-name manifest from live tenant homepages. Review any changed name
-before publishing a new release.

data/samorzad_gov_pl/samorzad_gov_pl.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b4f788030bb987b6c12487ea3e2e587bca1d1fd86294c1488961045bfe8fd137
-size 51930059

data/samorzad_gov_pl/samorzad_gov_pl.stats.json

@@ -1,25 +0,0 @@
-{
-  "authors_with_value": 72771,
-  "central_tenant_count": 1,
-  "chars": 109513754,
-  "cross_source_hashes_loaded": 4246372,
-  "drop_dup": 1992,
-  "drop_lang": 35,
-  "drop_ocr": 0,
-  "drop_short": 6624,
-  "kept": 72771,
-  "license": "CC-BY-SA-4.0",
-  "licenses": {
-    "CC-BY-SA-4.0": 72771
-  },
-  "local_public_tenant_count": 246,
-  "publisher_count": 247,
-  "read": 81422,
-  "redirected_urls": 693,
-  "tokens": 41154506,
-  "upstream_artifact_count": 10,
-  "upstream_dataset": "dawidmajewski/samorzad-gov-pl-articles",
-  "upstream_manifest_sha256": "97b5a266b2fd4f043648b7d3c757721cd826c7ca1048301761084b0abdee5c48",
-  "upstream_record_text_sha256": "6c35e1dc0bd35863ddb2f4e43d5bd08264c1fc27affdd60684ab5ecbc5457f63",
-  "upstream_revision": "d5eaefc32c3f17cfa5a01d14573f8e4ee7d43385"
-}

data/sejm_api/NOTICE.md

@@ -1,9 +0,0 @@
-# Source attribution
-
-Official materials: Kancelaria Sejmu RP, API Sejmu — https://api.sejm.gov.pl/.
-
-Speech attribution is preserved in `author`; the full source URL is in `sejm_api.attribution.jsonl`.
-
-Corpus preparation and contribution: Piotr Styła (Hugging Face: PiotrSty; GitHub: PiotrStyla).
-
-Reuse follows Polish Copyright Act art. 4(2) and the Polish Open Data Act. No upstream Creative Commons grant is asserted.

data/sejm_api/sejm_api.attribution.jsonl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4ab6513f8173498d403f7ec1a9534b8e0086264d3eca6ff9ac4f9c5dbca4c069
-size 18722278

data/sejm_api/sejm_api.license-evidence.json

@@ -1,34 +0,0 @@
-{
-  "copyright_basis": {
-    "act": "Polish Copyright and Related Rights Act",
-    "article": "4(2)",
-    "finding": "official documents and materials are excluded from copyright",
-    "url": "https://eli.gov.pl/api/acts/DU/2025/24/text/O/D20250024.pdf"
-  },
-  "dataset_record_license": "public-domain (official documents)",
-  "hf_source_license_name": "polish-public-sector-open-statutory-reuse",
-  "limitations": [
-    "privacy and personal-data exceptions",
-    "third-party rights and provider-specific conditions",
-    "no upstream Creative Commons grant is asserted"
-  ],
-  "official_source": "https://api.sejm.gov.pl/",
-  "official_source_documentation": "https://api.sejm.gov.pl/sejm.html",
-  "pinned_source": "hf://datasets/PiotrSty/sejm-speeches-corpus@124557799608ce4212cf22fa90ca7904618de1b6",
-  "pinned_target_base": "hf://datasets/SlayerLab/polish-dynaword@8cc48a3c564ac9edabfbbf012842ad11f70a3e5c",
-  "provider": "Kancelaria Sejmu RP",
-  "reuse_basis": {
-    "act": "Polish Open Data and Reuse of Public Sector Information Act",
-    "articles": [
-      "2(12)",
-      "5",
-      "6",
-      "14(1)",
-      "15",
-      "17"
-    ],
-    "url": "https://eli.gov.pl/api/acts/DU/2023/1524/text.html"
-  },
-  "source": "sejm_api",
-  "status": "reviewed-open-official-materials"
-}

data/sejm_api/sejm_api.md

@@ -1,65 +0,0 @@
-# sejm_api
-
-Contemporary official Polish Sejm speeches, supplementing existing parliamentary sources.
-
-## Dataset description
-
-- Source (upstream): https://api.sejm.gov.pl/
-- Source documentation: https://api.sejm.gov.pl/sejm.html
-- Domain: political/spoken
-- Language: Polish (`pl`)
-- License: `public-domain (official documents)`
-- Created (range): 2023-01-11, 2026-07-03
-- Added: 2026-08-22
-- Contributor: Piotr Styła (`PiotrSty` on Hugging Face; `PiotrStyla` on GitHub).
-
-## Licensing — traceable basis
-
-Official parliamentary documents and materials are excluded from copyright by
-article 4(2) of the Polish Copyright Act: https://eli.gov.pl/api/acts/DU/2025/24/text/O/D20250024.pdf.
-
-Reuse of public-sector information is governed by articles 2(12), 5, 6, 14,
-15 and 17 of the Polish Open Data Act: https://eli.gov.pl/api/acts/DU/2023/1524/text.html.
-
-The per-document value intentionally matches the existing `parliamentary`
-source. No unverified upstream Creative Commons license is asserted.
-
-## Provenance and reproducibility
-
-- Official provider: Kancelaria Sejmu RP.
-- Immutable source release: `PiotrSty/sejm-speeches-corpus@v1.0.1`.
-- Pinned source commit: `124557799608ce4212cf22fa90ca7904618de1b6`.
-- Reviewed DynaWord base commit: `8cc48a3c564ac9edabfbbf012842ad11f70a3e5c`.
-- Rebuild: `python src/fetch_sejm_api.py --help`.
-- Source URLs and speech-level provenance are in `sejm_api.attribution.jsonl`.
-- Slayer contribution digest: `sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32`.
-
-## Temporal novelty and deduplication
-
-`parliamentary` ends on `2019-12-31` and registered
-`parlamint_pl` ends on `2022-12-31`. Every contributed
-record is dated on or after `2023-01-01`, so its date range overlaps neither
-source. Exact duplicate speech texts within the contribution are removed using
-SHA-1 fingerprints; this is not a claim of global cross-domain near-deduplication.
-
-## Statistics
-
-| Measure | Value |
-|---|---:|
-| Source rows inspected | 157,714 |
-| Rows before 2023-01-01 | 118,902 |
-| Exact duplicate texts removed | 0 |
-| Documents published | 38,812 |
-| Characters | 96,596,566 |
-| Tokens (`cl100k_base` proxy) | 36,335,587 |
-| Documents with speaker attribution | 38,812 |
-
-Statistics are recomputed from the released Parquet file. The canonical schema
-is `id, text, source, added, created, token_count, license, author`.
-
-## Privacy and limitations
-
-The upstream release heuristically redacts email addresses, PESEL identifiers
-and unambiguous Polish telephone numbers. Public-official names and speech
-attribution remain. Regex redaction is not a guarantee of zero personal data.
-Downstream users must review applicable privacy, third-party and source terms.

data/sejm_api/sejm_api.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:56f7b03483488dec8f0fa145c6d26746926175d83096e9d1931e535aa81cf161
-size 35267581

data/sejm_api/sejm_api.stats.json

@@ -1,36 +0,0 @@
-{
-  "added": "2026-08-22",
-  "authors_with_value": 38812,
-  "by_source_split": {
-    "train": 38053,
-    "validation": 759
-  },
-  "by_term": {
-    "10": 30789,
-    "9": 8023
-  },
-  "by_year": {
-    "2023": 10220,
-    "2024": 4788,
-    "2025": 13712,
-    "2026": 10092
-  },
-  "chars": 96596566,
-  "created_max": "2026-07-03",
-  "created_min": "2023-01-11",
-  "drop_before_start": 118902,
-  "drop_dup": 0,
-  "drop_lang": 0,
-  "drop_ocr": 0,
-  "drop_short": 0,
-  "kept": 38812,
-  "license": "public-domain (official documents)",
-  "licenses": {
-    "public-domain (official documents)": 38812
-  },
-  "read": 157714,
-  "source_revision": "124557799608ce4212cf22fa90ca7904618de1b6",
-  "stats_recomputed_from_parquet": true,
-  "target_base_revision": "8cc48a3c564ac9edabfbbf012842ad11f70a3e5c",
-  "tokens": 36335587
-}

data/uzp_orzeczenia_pl/NOTICE.md

@@ -1,7 +0,0 @@
-# Attribution and legal basis
-
-Source: UZP decision search service, https://orzeczenia.uzp.gov.pl/ (Urzad Zamowien Publicznych / Public Procurement Office).
-
-Records are official rulings (KIO, district courts, administrative courts, Supreme Court) in public procurement matters. Working basis: Polish Copyright Act art. 4(2) excludes official documents from copyright; no per-record license field exists on the service. Formal legal review has not been performed. Consult `artifacts/attribution.jsonl` for per-record provenance (organ, signature, issue date, URLs, checksums).
-
-Preparation: Piotr Styla with Devin (Cognition). Changes: service-PDF text extraction, running-head and page-number removal, Unicode/whitespace normalization, line-wrap repair, limited email/phone/IP/identifier/account pattern redaction, language/quality filtering and within-source deduplication. Names of parties and adjudicators remain as part of the official record. No endorsement by UZP, KIO or the courts is implied.