Release v0.2.3 with community HPLT contribution

CHANGELOG.md

@@ -1,5 +1,32 @@
 # Changelog
 
+## 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),

README.md

@@ -19,14 +19,14 @@ A continuously developed, **openly-licensed**, human-text Polish corpus — a Po
 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**
+> **v0.2.3 stable** · 2,710,974 documents · **6.88B tokens**
+> (6,881,277,362 tiktoken cl100k-proxy tokens) · 16 sources
+> Updated: **2026-07-26**
 
 > **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.
+> replace the v0.2.3 stable parquets.
 
 > **v0.3.1-preview** · first reproducible Europeana direct-ingestion shard:
 > 1,000 API records → 810 quality-gated parquet documents, each preserving
@@ -38,12 +38,61 @@ family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271))
 
 | 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. |
+| `v0.2.3` | stable release | 2,710,974 | 6.88B | Adds community-contributed HPLT v3 Polish WDS 10+9, Global Voices Polish and the NKJP manually annotated 1M-word subcorpus. |
+| `v0.2.2` | previous stable | 2,579,963 | 6.36B | Added community-contributed `govpl`: 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. |
 
+### Version details
+
+#### v0.2.3 — current 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. Result: 13 sources, 2,579,963 documents and
+6.36B proxy tokens.
+
+#### v0.2.1 — previous stable
+
+Introduced the canonical eight-column release schema:
+`id, text, source, added, created, token_count, license, author`. Added the
+CC-BY-4.0 `1000_novels` source 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. This version established the
+per-source datasheet, traceable-license and exclusion-policy workflow.
+
+#### v0.3.0-preview — 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 a workflow and validation track, not a replacement for the stable corpus.
+
+#### v0.3.1-preview — Europeana validation shard
+
+A separate reproducible 810-document Europeana sample preserving per-record
+rights and creator metadata. It validates the direct-ingestion contract without
+changing stable-release totals.
+
 ## 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,
@@ -67,10 +116,18 @@ as the redistributing aggregator; this release does not claim ownership of them
 
 ## 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.
+| 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 `european_hplt_v3_pl`: HPLT v3 WDS 10+9 cleaning pipeline, 110,590-document artifact, validation and documentation. | `v0.2.3`, [PR #5](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/5) |
+| [Dawid Majewski](https://huggingface.co/dawidmajewski) | Added the reviewed Global Voices Polish corpus with per-document author attribution and documentation. | `v0.2.3`, [PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7) |
+| [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
@@ -86,6 +143,7 @@ as the redistributing aggregator; this release does not claim ownership of them
 | [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 |
+| [european_hplt_v3_pl](data/european_hplt_v3_pl/european_hplt_v3_pl.md) | HPLT v3.0 Polish — top WDS quality bins 10+9 | `CC0-1.0` | 110,590 | 512.4M |
 | [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 |
@@ -95,7 +153,9 @@ as the redistributing aggregator; this release does not claim ownership of them
 | [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** |
+| [global_voices](data/global_voices/global_voices.md) | Global Voices Polish | `CC-BY-3.0` | 2,040 | 3.7M |
+| [nkjp1m](data/nkjp1m/nkjp1m.md) | NKJP manually annotated 1-million-word subcorpus | `CC-BY` | 18,381 | 2.6M |
+| **total** | | | **2,710,974** | **6,881.3M** |
 
 ## Method
 Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
@@ -146,9 +206,10 @@ Current v0.3 source-ingestion status:
 - 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.
+- `european_hplt_v3_pl`: WDS bins 10+9 are included in v0.2.3 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:
 
@@ -212,154 +273,4 @@ 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)
+The corpus-level phrase-frequency recount for the 16-source v0.2.3 release is pending. The previous 15-source tables were removed to avoid presenting stale analysis as current. Release document/token totals above are summed from the validated per-source parquet statistics.

artifacts/pattern_frequency_hf_snippet.md

@@ -1,18 +1,18 @@
 ## Phrase frequency in corpus (token-normalized)
 
-- Total token count (tiktoken proxy): **6,362,577,363**
+- Total token count (tiktoken proxy): **6,878,676,161**
 
 | 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% |
+| `w roku` | 460,140 | 0.0067% |
+| `klasyfikacji` | 134,084 | 0.0019% |
+| `ustawa` | 598,097 | 0.0087% |
+| `artykuł` | 2,096,118 | 0.0305% |
+| `parlament` | 1,216,592 | 0.0177% |
+| `rozporządzenie` | 1,497,253 | 0.0218% |
+| `w pobliżu` | 89,697 | 0.0013% |
+| `mieszkańców` | 288,752 | 0.0042% |
+| `Dz.U.` | 944,563 | 0.0137% |
 
 ### Per-source shares
 
@@ -54,6 +54,24 @@
 | `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` | 21,067 | 0.00411% |
+| `european_hplt_v3_pl` | `klasyfikacji` | 3,576 | 0.00070% |
+| `european_hplt_v3_pl` | `ustawa` | 5,754 | 0.00112% |
+| `european_hplt_v3_pl` | `artykuł` | 56,295 | 0.01099% |
+| `european_hplt_v3_pl` | `parlament` | 10,618 | 0.00207% |
+| `european_hplt_v3_pl` | `rozporządzenie` | 2,661 | 0.00052% |
+| `european_hplt_v3_pl` | `w pobliżu` | 9,877 | 0.00193% |
+| `european_hplt_v3_pl` | `mieszkańców` | 33,939 | 0.00662% |
+| `european_hplt_v3_pl` | `Dz.U.` | 1,482 | 0.00029% |
+| `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% |

pattern_frequency_report.md

@@ -1,18 +1,18 @@
 ## Pattern frequency on corpus
 
-- total tokens (tiktoken proxy): `6,362,577,363`
+- total tokens (tiktoken proxy): `6,878,676,161`
 
 | 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% |
+| `w roku` | 460,140 | 0.0067% |
+| `klasyfikacji` | 134,084 | 0.0019% |
+| `ustawa` | 598,097 | 0.0087% |
+| `artykuł` | 2,096,118 | 0.0305% |
+| `parlament` | 1,216,592 | 0.0177% |
+| `rozporządzenie` | 1,497,253 | 0.0218% |
+| `w pobliżu` | 89,697 | 0.0013% |
+| `mieszkańców` | 288,752 | 0.0042% |
+| `Dz.U.` | 944,563 | 0.0137% |
 
 | source | pattern | count | per-token share |
 |---|---|---:|---:|
@@ -52,6 +52,24 @@
 | 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` | 21,067 | 0.00411% |
+| european_hplt_v3_pl | `klasyfikacji` | 3,576 | 0.00070% |
+| european_hplt_v3_pl | `ustawa` | 5,754 | 0.00112% |
+| european_hplt_v3_pl | `artykuł` | 56,295 | 0.01099% |
+| european_hplt_v3_pl | `parlament` | 10,618 | 0.00207% |
+| european_hplt_v3_pl | `rozporządzenie` | 2,661 | 0.00052% |
+| european_hplt_v3_pl | `w pobliżu` | 9,877 | 0.00193% |
+| european_hplt_v3_pl | `mieszkańców` | 33,939 | 0.00662% |
+| european_hplt_v3_pl | `Dz.U.` | 1,482 | 0.00029% |
+| 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% |

src/make_docs.py

@@ -13,7 +13,8 @@ sys.path.insert(0, str(Path(__file__).resolve().parent))
 from sources import SOURCES, EXCLUDED, ADDED
 
 ROOT = Path(__file__).resolve().parent.parent
-VERSION = "0.2.2"
+VERSION = "0.2.3"
+RELEASE_DATE = "2026-07-26"
 CONTACT = "k.wikiel@gmail.com"  # notice-and-takedown / data-removal requests
 
 # Dupochron: documented good-faith provenance + no-warranty + takedown + PII.
@@ -166,7 +167,7 @@ family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271))
 
 > **v{VERSION} stable** · {tot_doc:,} documents · **{tot_tok/1e9:.2f}B tokens**
 > (tiktoken proxy; canonical Llama-3 count at release) · {len(rows)} sources
-> Updated: **{ADDED}**
+> Updated: **{RELEASE_DATE}**
 
 > **v0.3.0-preview in progress** · quality/diversity remix workflow, legal-style
 > downweighting, and filtered contemporary Polish web candidates. Biblioteka
@@ -178,10 +179,57 @@ family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271))
 
 | version | status | documents | tokens | notes |
 |---|---|---:|---:|---|
-| `v0.2.1` | stable release | {tot_doc:,} | {tot_tok/1e9:.2f}B | 12-source stable corpus with `license` and `author` metadata columns; adds `1000_novels`. |
+| `v0.2.3` | stable release | {tot_doc:,} | {tot_tok/1e9:.2f}B | 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. |
 | `v0.3.0-preview` | workflow + candidate data in progress | candidate-only | TBD | Biblioteka Nauki, Europeana, and HPLT/Common Corpus style expansion pending per-source QA, dedup, and legal review. |
 
+### Version details
+
+#### v0.2.3 — current 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.
+
+#### v0.3.0-preview — 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.
+
+#### v0.3.1-preview — Europeana validation shard
+
+A separate reproducible 810-document Europeana sample preserving per-record
+rights and creator metadata. It does not change stable-release totals.
+
 ## 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,
@@ -205,10 +253,18 @@ as the redistributing aggregator; this release does not claim ownership of them
 
 ## 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.
+| 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 `european_hplt_v3_pl`: HPLT v3 WDS 10+9 cleaning pipeline, 110,590-document artifact, validation and documentation. | `v0.2.3`, [PR #5](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/5) |
+| [Dawid Majewski](https://huggingface.co/dawidmajewski) | Added the reviewed Global Voices Polish corpus with per-document author attribution and documentation. | `v0.2.3`, [PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7) |
+| [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
@@ -261,9 +317,10 @@ Current v0.3 source-ingestion status:
 - 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.
+- `european_hplt_v3_pl`: WDS bins 10+9 are included in v{VERSION} 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:
 
@@ -298,23 +355,19 @@ python3 src/make_docs.py
 """
     (ROOT / "README.md").write_text(readme)
 
-    (ROOT / "CHANGELOG.md").write_text(
-        f"# Changelog\n\n## v{VERSION} ({ADDED})\n\n"
-        f"- Released a stable metadata-schema update: "
-        f"`id, text, source, added, created, token_count, license, author`.\n"
-        f"- Current release totals after parquet recount: {len(rows)} sources, "
-        f"{tot_doc:,} docs, {tot_tok/1e9:.2f}B tokens (tiktoken proxy).\n"
-        f"- Added `1000_novels` as a stable CC-BY-4.0 literature source.\n"
-        f"- Added source registry entries and PR contract for future "
-        f"`biblioteka_nauki` and `europeana` ingestion with per-document "
-        f"license/author metadata. These sources are not included in v{VERSION} "
-        f"parquets yet.\n"
-        f"- Credited Bart Kobyliński for source expansion work on Biblioteka "
-        f"Nauki and Europeana metadata/rebuild preparation.\n"
-        f"- Kept raw SpeakLeash Europeana excluded unless a direct rebuild "
-        f"preserves per-record rights metadata.\n"
-        f"- Sources: {', '.join(n for n, _, _ in rows)}.\n"
-        f"- Excluded (see README): {', '.join(EXCLUDED)}.\n")
+    # CHANGELOG is append-only release history. Documentation regeneration must
+    # never erase earlier releases or hand-reviewed legal/release notes.
+    changelog_path = ROOT / "CHANGELOG.md"
+    changelog = changelog_path.read_text() if changelog_path.exists() else "# Changelog\n"
+    heading = f"## v{VERSION} ({RELEASE_DATE})"
+    if heading not in changelog:
+        entry = (
+            f"{heading}\n\n"
+            f"- Current release totals after parquet recount: {len(rows)} sources, "
+            f"{tot_doc:,} docs, {tot_tok:,} tokens (tiktoken cl100k proxy).\n\n"
+        )
+        changelog = changelog.replace("# Changelog\n", f"# Changelog\n\n{entry}", 1)
+        changelog_path.write_text(changelog)
 
     (ROOT / "LICENSE").write_text(
         "Polish DynaWord is released under Creative Commons Attribution-ShareAlike 4.0\n"

src/pattern_frequency_report.py

@@ -45,7 +45,10 @@ def count_patterns_for_source(parquet_path: Path) -> dict[str, int]:
 
     for rg in range(pf.num_row_groups):
         table = pf.read_row_group(rg, columns=["text"])
-        text = table["text"]
+        # A single large source row group can exceed Arrow's 2 GiB utf8
+        # offset limit after lower-casing. Use 64-bit string offsets before
+        # applying any text kernels so community-contributed web shards scale.
+        text = pc.cast(table["text"], "large_string")
         text = pc.utf8_lower(text)
         text = pc.replace_substring_regex(text, pattern="\\r?\\n", replacement=" ")
 

src/test_hplt_v3_contract.py

@@ -11,7 +11,8 @@ from pathlib import Path
 import pyarrow as pa, pyarrow.parquet as pq
 import pyarrow.compute as pc
 
-D = Path(r"C:\ProjektyPublic\datasets\hplt_v3_pl\data\european_hplt_v3_pl")
+ROOT = Path(__file__).resolve().parent.parent
+D = ROOT / "data" / "european_hplt_v3_pl"
 PARQUET = D / "european_hplt_v3_pl.parquet"
 STATS = D / "european_hplt_v3_pl.stats.json"
 ACCEPTED = {"cc0-1.0", "cc-by-3.0", "cc-by-4.0", "cc-by-sa-3.0", "cc-by-sa-4.0",