Add source: nkjp1m

AGENTS.md

@@ -1,74 +0,0 @@
-# AGENTS.md
-
-Guidance for agents and contributors adding a source and cutting a release.
-Read this before opening a PR — several recent contributions added data but
-skipped the doc/version bump, forcing a maintainer cleanup release.
-
-## 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 every regenerated datasheet's "Added" with the single global `ADDED`
-  constant, overwriting real per-source add dates.
-- 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.
-
-## 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.
-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.
-
-## Cut the release (the part that gets skipped)
-
-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 yourself 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.
-
-## 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
-
-- `biblioteka_nauki`, `europeana`, `parlamint_pl` are in `SOURCES` but have no
-  `data/` shard (make_docs skips them with `! no stats`). Intentional placeholders
-  or stale — confirm before relying on `build_dynaword.py --all`.
-- The global `ADDED` datasheet stamp is a footgun: give datasheets a per-source
-  add date (or `custom_datasheet`) before making make_docs regenerate them.

CHANGELOG.md

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

@@ -19,89 +19,30 @@ 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)).
 
-> **v0.2.3 stable** · 2,710,974 documents · **6.88B tokens**
-> (6,881,277,362 tiktoken cl100k-proxy tokens) · 16 sources
-> Updated: **2026-07-26**
+> **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-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 v0.2.3 stable parquets.
+> **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.
 
-> **Europeana validation artifact (2026-07-10)** · first reproducible
-> direct-ingestion shard:
+> **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
-> the legacy path `previews/v0.3.1/europeana.parquet`; it is not a release of the
-> full dataset and does not alter stable totals.
+> `previews/v0.3.1/europeana.parquet`; the paged Search API run took 59.4 s and
+> does not alter v0.2.1 stable totals.
 
-## Releases
-
-### Stable releases
+## Versions
 
 | version | status | documents | tokens | notes |
 |---|---|---:|---:|---|
-| `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. |
+| `v0.2.2` | 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. |
-
-![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
-
-#### v0.2.3 — 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-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 a workflow and validation track, 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 validates the direct-ingestion contract without
-changing stable-release totals. `v0.3.1-preview` remains only as the legacy
-storage-path label.
+| `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,
@@ -126,18 +67,10 @@ as the redistributing aggregator; this release does not claim ownership of them
 
 ## 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 `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.
+- **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
@@ -153,7 +86,6 @@ files is not listed as a data contribution.
 | [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 |
@@ -163,9 +95,7 @@ files is not listed as a data contribution.
 | [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) | NKJP manually annotated 1-million-word subcorpus | `CC-BY` | 18,381 | 2.6M |
-| **total** | | | **2,710,974** | **6,881.3M** |
+| **total** | | | **2,579,963** | **6,362.6M** |
 
 ## Method
 Only **human-authored** text — no synthetic, machine-translated, or auto-transcribed
@@ -216,10 +146,9 @@ 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.
-- `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.
+- `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:
 
@@ -287,19 +216,19 @@ python3 src/make_docs.py
 
 Raw counts and token-normalized shares are regenerated from the current parquet files with `src/pattern_frequency_report.py`.
 
-- Total token count (tiktoken proxy): **6,881,277,362**
+- Total token count (tiktoken proxy): **6,362,577,363**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 460,249 | 0.0067% |
-| `klasyfikacji` | 134,093 | 0.0019% |
-| `ustawa` | 598,176 | 0.0087% |
-| `artykuł` | 2,096,271 | 0.0305% |
-| `parlament` | 1,216,808 | 0.0177% |
-| `rozporządzenie` | 1,497,273 | 0.0218% |
-| `w pobliżu` | 89,774 | 0.0013% |
-| `mieszkańców` | 288,911 | 0.0042% |
-| `Dz.U.` | 944,565 | 0.0137% |
+| `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
 
@@ -341,24 +270,6 @@ Raw counts and token-normalized shares are regenerated from the current parquet
 | `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% |
@@ -368,15 +279,6 @@ Raw counts and token-normalized shares are regenerated from the current parquet
 | `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% |
@@ -460,4 +362,4 @@ Raw counts and token-normalized shares are regenerated from the current parquet
 ![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)
+![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): **6,881,277,362**
+- Total token count (tiktoken proxy): **6,362,577,363**
 
 | Pattern | Count | Share of all tokens |
 |---|---:|---:|
-| `w roku` | 460,249 | 0.0067% |
-| `klasyfikacji` | 134,093 | 0.0019% |
-| `ustawa` | 598,176 | 0.0087% |
-| `artykuł` | 2,096,271 | 0.0305% |
-| `parlament` | 1,216,808 | 0.0177% |
-| `rozporządzenie` | 1,497,273 | 0.0218% |
-| `w pobliżu` | 89,774 | 0.0013% |
-| `mieszkańców` | 288,911 | 0.0042% |
-| `Dz.U.` | 944,565 | 0.0137% |
+| `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
 
@@ -54,24 +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` | 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% |
@@ -81,15 +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% |

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()

pattern_frequency_report.md

@@ -1,18 +1,18 @@
 ## Pattern frequency on corpus
 
-- total tokens (tiktoken proxy): `6,881,277,362`
+- total tokens (tiktoken proxy): `6,362,577,363`
 
 | pattern | count | share of all tokens |
 |---|---:|---:|
-| `w roku` | 460,249 | 0.0067% |
-| `klasyfikacji` | 134,093 | 0.0019% |
-| `ustawa` | 598,176 | 0.0087% |
-| `artykuł` | 2,096,271 | 0.0305% |
-| `parlament` | 1,216,808 | 0.0177% |
-| `rozporządzenie` | 1,497,273 | 0.0218% |
-| `w pobliżu` | 89,774 | 0.0013% |
-| `mieszkańców` | 288,911 | 0.0042% |
-| `Dz.U.` | 944,565 | 0.0137% |
+| `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% |
 
 | source | pattern | count | per-token share |
 |---|---|---:|---:|
@@ -52,24 +52,6 @@
 | 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` | 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% |
@@ -79,15 +61,6 @@
 | 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% |

src/make_docs.py

@@ -13,8 +13,7 @@ sys.path.insert(0, str(Path(__file__).resolve().parent))
 from sources import SOURCES, EXCLUDED, ADDED
 
 ROOT = Path(__file__).resolve().parent.parent
-VERSION = "0.2.3"
-RELEASE_DATE = "2026-07-26"
+VERSION = "0.2.2"
 CONTACT = "k.wikiel@gmail.com"  # notice-and-takedown / data-removal requests
 
 # Dupochron: documented good-faith provenance + no-warranty + takedown + PII.
@@ -120,10 +119,7 @@ def main():
         st = load_stats(name)
         if not st:
             print(f"  ! no stats for {name}"); continue
-        # Sources with a hand-authored datasheet (rich provenance, per-source add
-        # date) opt out of template regeneration to avoid clobbering it.
-        if not cfg.get("custom_datasheet"):
-            (ROOT / "data" / name / f"{name}.md").write_text(datasheet(name, cfg, st))
+        (ROOT / "data" / name / f"{name}.md").write_text(datasheet(name, cfg, st))
         rows.append((name, cfg, st))
         tot_doc += st["kept"]; tot_tok += st["tokens"]; tot_chr += st["chars"]
     rows.sort(key=lambda r: -r[2]["tokens"])
@@ -170,81 +166,21 @@ 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: **{RELEASE_DATE}**
+> Updated: **{ADDED}**
 
-> **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 v{VERSION} stable parquets.
+> **v0.3.0-preview in progress** · quality/diversity remix workflow, legal-style
+> downweighting, and filtered contemporary Polish web candidates. Biblioteka
+> Nauki and Europeana are prepared as source-ingestion PR targets with
+> per-document `license` and `author` metadata, but they are not part of this
+> stable parquet release yet.
 
-> **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
+## Versions
 
 | version | status | documents | tokens | notes |
 |---|---|---:|---:|---|
-| `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`. |
+| `v0.2.1` | stable release | {tot_doc:,} | {tot_tok/1e9:.2f}B | 12-source stable corpus with `license` and `author` metadata columns; adds `1000_novels`. |
 | `v0.2.0` | 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
-
-#### v0.2.3 — 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-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.
+| `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. |
 
 ## What this dataset contributes
 The raw texts come from existing open corpora (redistributed via SpeakLeash and,
@@ -269,18 +205,10 @@ as the redistributing aggregator; this release does not claim ownership of them
 
 ## 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 `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.
+- **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
@@ -333,10 +261,9 @@ 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.
-- `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.
+- `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:
 
@@ -371,19 +298,23 @@ python3 src/make_docs.py
 """
     (ROOT / "README.md").write_text(readme)
 
-    # 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 / "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")
 
     (ROOT / "LICENSE").write_text(
         "Polish DynaWord is released under Creative Commons Attribution-ShareAlike 4.0\n"

src/pattern_frequency_report.py

@@ -45,10 +45,7 @@ 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"])
-        # 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 = table["text"]
         text = pc.utf8_lower(text)
         text = pc.replace_substring_regex(text, pattern="\\r?\\n", replacement=" ")
 

src/plot_version_growth.py

@@ -1,66 +0,0 @@
-#!/usr/bin/env python3
-"""Plot stable Polish DynaWord corpus growth across released versions."""
-
-from pathlib import Path
-
-import matplotlib.pyplot as plt
-from matplotlib.ticker import FuncFormatter
-
-
-ROOT = Path(__file__).resolve().parent.parent
-OUTPUT = ROOT / "artifacts" / "dataset_size_by_version.png"
-
-VERSIONS = ["v0.2.0", "v0.2.1", "v0.2.2", "v0.2.3"]
-DOCUMENTS = [2_490_773, 2_491_773, 2_579_963, 2_710_974]
-TOKENS = [6_221_393_871, 6_281_911_234, 6_362_577_363, 6_881_277_362]
-
-
-def millions(value, _position):
-    return f"{value / 1_000_000:.1f}M"
-
-
-def billions(value, _position):
-    return f"{value / 1_000_000_000:.1f}B"
-
-
-def main():
-    plt.style.use("seaborn-v0_8-whitegrid")
-    fig, axes = plt.subplots(1, 2, figsize=(12, 4.8))
-
-    panels = [
-        (axes[0], DOCUMENTS, "Documents", millions, lambda v: f"{v / 1_000_000:.3f}M", "#2563eb"),
-        (axes[1], TOKENS, "Tokens (cl100k proxy)", billions, lambda v: f"{v / 1_000_000_000:.3f}B", "#0f766e"),
-    ]
-
-    for axis, values, ylabel, formatter, labeler, color in panels:
-        axis.plot(VERSIONS, values, marker="o", linewidth=2.5, color=color)
-        axis.fill_between(VERSIONS, values, alpha=0.12, color=color)
-        axis.set_ylabel(ylabel)
-        axis.yaxis.set_major_formatter(FuncFormatter(formatter))
-        axis.spines[["top", "right"]].set_visible(False)
-        axis.grid(axis="x", visible=False)
-        padding = (max(values) - min(values)) * 0.3 or max(values) * 0.02
-        axis.set_ylim(min(values) - padding, max(values) + padding)
-
-        for version, value in zip(VERSIONS, values):
-            axis.annotate(
-                labeler(value),
-                (version, value),
-                xytext=(0, 9),
-                textcoords="offset points",
-                ha="center",
-                fontsize=9,
-                fontweight="bold",
-                color=color,
-            )
-
-    fig.suptitle("Polish DynaWord — stable dataset growth by version", fontsize=15)
-    fig.tight_layout()
-    OUTPUT.parent.mkdir(parents=True, exist_ok=True)
-    fig.savefig(OUTPUT, dpi=180, bbox_inches="tight")
-    plt.close(fig)
-    print(OUTPUT)
-
-
-if __name__ == "__main__":
-    main()

src/sources.py

@@ -288,41 +288,6 @@ SOURCES = {
                       "containment dedup vs existing sources is left to downstream per "
                       "Dynaword guidelines. Parity with the accepted european-hplt-v1 CC0 basis.",
     },
-    "1000_novels": {
-        "speakleash_key": "1000_novels_corpus_CLARIN-PL",
-        "pretty": "1000 Novels Corpus (CLARIN-PL)",
-        "license": "CC-BY-4.0",
-        "license_spdx": "CC-BY-4.0",
-        "traceable": "The 1000 Novels Corpus is released under Creative Commons "
-                     "Attribution 4.0 International by CLARIN-PL / Wrocław University "
-                     "of Technology, with attribution to the corpus authors and "
-                     "maintainers.",
-        "upstream": "https://clarin-pl.eu/dspace/handle/11321/312",
-        "domain": "literature",
-        "created": "unknown",
-        "is_ocr": False,
-        # Datasheet is contributor-committed (added 2026-07-02); skip regeneration
-        # so the global ADDED stamp does not overwrite the real add date.
-        "custom_datasheet": True,
-    },
-    "global_voices": {
-        # Data contributed directly (PR #7): no in-repo fetch/build script and a
-        # hand-authored datasheet. Registered for the source table + release totals;
-        # the datasheet stays contributor-owned via custom_datasheet.
-        "file_key": "global_voices",
-        "pretty": "Global Voices Polish",
-        "license": "CC-BY-3.0",
-        "license_spdx": "CC-BY-3.0",
-        "traceable": "CC BY 3.0 verified from the article-level license link published "
-                     "with each retained Global Voices article; each record carries "
-                     "CC-BY-3.0 metadata and per-document author/translator attribution "
-                     "in global_voices.attribution.jsonl.",
-        "upstream": "https://pl.globalvoices.org/",
-        "domain": "civic media, news and public-interest journalism",
-        "created": "2008-11-04, 2023-05-24",
-        "is_ocr": False,
-        "custom_datasheet": True,
-    },
 }
 
 ADDED = "2026-07-19"

src/test_hplt_v3_contract.py

@@ -11,8 +11,7 @@ from pathlib import Path
 import pyarrow as pa, pyarrow.parquet as pq
 import pyarrow.compute as pc
 
-ROOT = Path(__file__).resolve().parent.parent
-D = ROOT / "data" / "european_hplt_v3_pl"
+D = Path(r"C:\ProjektyPublic\datasets\hplt_v3_pl\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",