--- license: cc-by-sa-4.0 language: - pl pretty_name: Polish DynaWord task_categories: - text-generation size_categories: - 1M **v0.2.5 stable** · 4,366,651 documents · **9.68B tokens** > (tiktoken proxy; canonical Llama-3 count at release) · 20 sources > Updated: **2026-08-14** > **main, not a release (2026-09-29)** · 36 sources · 4,094,255 documents · > **8.38B tokens**: 19 of the 20 v0.2.5 sources (`european_hplt_v3_pl` withdrawn) > plus 17 [sources not yet released](#sources-on-main-not-yet-released). Cite > the `v0.2.5` tag, not main. > **v0.3-dev experimental track** · quality/diversity workflow, source-gate > validation and candidate-data audits. This is development work, not a released > corpus version, and it does not replace the v0.2.5 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 | 4,366,651 | 9.68B | Adds community-contributed `samorzad_gov_pl` (institution-level author attribution and a URL-bearing attribution sidecar), `sejm_api` and `wiktionary_examples`. | | `v0.2.4` | previous stable | 4,246,429 | 9.60B | Expanded `european_hplt_v3_pl` to WDS bins 10-5 (+1.49M docs / 2.04B tok); phone PII-scrub hardening (independent dual-lens) + cross-source dedup (zero-overlap). | | `v0.2.3` | previous stable | 2,710,974 | 6.88B | Adds community-contributed `european_hplt_v3_pl`, `global_voices` and `nkjp1m`. | | `v0.2.2` | previous stable | 2,579,963 | 6.36B | Added community-contributed `govpl`: 88,190 docs / 80.7M tokens. | | `v0.2.1` | previous stable | 2,491,773 | 6.28B | 12-source corpus with `license` and `author` metadata columns; added `1000_novels`. | | `v0.2.0` | previous stable | 2,490,773 | 6.22B | Provenance-first corpus from 11 open/official sources. | ![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 three sources, bringing the complete release to **20 sources, 4,366,651 documents / 9,676,513,980 cl100k-proxy tokens**: - `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. - `sejm_api`: **38,812 documents / 36,335,587 cl100k-proxy tokens** of parliamentary speeches (2023 onward) from the official Sejm API, `public-domain (official documents)` ([PR #16](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/16)). - `wiktionary_examples`: **8,639 documents / 1,115,820 cl100k-proxy tokens** of Polish Wiktionary usage examples, one document per headword, `CC-BY-SA-3.0` ([PR #14](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/14)). Documentation correction: the v0.2.5 tag contains all 20 sources. Earlier copies of this card counted only 18 (4,319,200 documents / 9,639,062,573 tokens) and listed `sejm_api` and `wiktionary_examples` as not released. #### 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. Added `sejm_interpellations` (on main, not yet released); contributor guidance, PII scrubbing and its move to SlayerLab/NERGAL; registry-driven release totals, release tags and the source-PR/release split. | `v0.2.2`, [PR #9](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/9); [#17](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/17), [#20](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/20), [#24](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/24), [#28](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/28)–[#31](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/31), [#38](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/38), [#42](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/42) | | [Arkadiusz Słota](https://huggingface.co/Maggio33) | Built & expanded `european_hplt_v3_pl`: HPLT v3 WDS 10+9 (PR #5) then WDS 10-5 expansion (+1,493,384 docs / 2.04B tok), modular cleaning pipeline, phone-recall PII-scrub (v12b, independent dual-lens), cross-source dedup-vs-base (zero-overlap), validation and documentation. | `v0.2.3` (PR #5), `v0.2.4` | | [Dawid Majewski](https://huggingface.co/dawidmajewski) | Added the reviewed Global Voices Polish corpus; built `samorzad_gov_pl` with direct acquisition, institution attribution, licensing evidence, release artifact and reproducible conversion; prepared its de-identified upstream v0.2. | `v0.2.3`, [PR #7](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/7); `v0.2.5`, [PR #13](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/13); [PR #15](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/15) (merged via [#46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46)) | | [1am](https://huggingface.co/1am) | Added `nkjp1m`: the manually annotated 1-million-word NKJP subcorpus, direct fetch/build pipeline, source documentation and release artifact. | `v0.2.3`, [PR #8](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/8) | | [Piotr Styła](https://huggingface.co/PiotrSty) | Corpus preparation and contribution of `sejm_api`: parliamentary speeches from the official Sejm API with speaker attribution and immutable `PiotrSty/sejm-speeches-corpus` v1.0.1 provenance. On main, not yet released: 15 further sources (`sejm_api_2011_2022`, `common_voice_pl`, `openstax_pl`, `open_agh_chemistry_pl`, `edukacja_medialna_pl`, `kultura_bez_barier_pl`, `ted_pl`, `rock_pollub_pl`, `open_icm_pl`, `wiadomosci_statystyczne_pl`, `plwiki_talk`, `sejm_committee_transcripts`, `uzp_orzeczenia_pl`, `plwiki_user_talk`, `nonsa`); landed `studia_bas` and the `samorzad_gov_pl` v0.2 update; `build_dynaword` `preserve_id`/`preserve_created` flags. | `v0.2.5`, [PR #16](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/16); [#18](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/18), [#22](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/22), [#23](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/23), [#25](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/25)–[#27](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/27), [#32](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/32)–[#37](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/37), [#39](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/39)–[#41](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/41), [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)–[#46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46) | | [Katarzyna Majzel-Pośpiech](https://huggingface.co/KateMajzel) | Added `wiktionary_examples`: usage examples extracted from the Polish Wiktionary dump, one document per headword. | `v0.2.5`, [PR #14](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/14) | | [gzawadzki](https://huggingface.co/gzawadzki) | Added `studia_bas`: peer-reviewed socioeconomic and public-policy articles from Studia BAS (on main, not yet released). | [PR #19](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/19) (merged via [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)) | Contributions are credited when they add a verifiable dataset artifact, pipeline, validation, documentation or release work. A merged discussion with no resulting files is not listed as a data contribution. ## Guiding principles 1. **Open & traceable licensing** — every source is *openly licensed* 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//`. 4. **Extensibility** — versioned; new sources via PR. ## Sources | source | description | license | documents | tokens | |---|---|---|---:|---:| | european_hplt_v3_pl *(withdrawn from main after v0.2.5, licence under review)* | HPLT v3.0 Polish (web, top WDS bins 10-5) | `CC0-1.0` | 1,603,974 | 2,555.5M | | [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `CC-BY-4.0` | 243,060 | 2,378.1M | | [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 324,622 | 1,646.8M | | [wikisource](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 | | [sejm_api](data/sejm_api/sejm_api.md) | Sejm API parliamentary speeches (2023 onward) | `public-domain (official documents)` | 38,812 | 36.3M | | [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 | | [wiktionary_examples](data/wiktionary_examples/wiktionary_examples.md) | Polish Wiktionary usage examples | `CC-BY-SA-3.0` | 8,639 | 1.1M | | **total** | | | **4,366,651** | **9,676.5M** | This table is the v0.2.5 release as tagged (load it with `revision="v0.2.5"`). Main has changed since: - `european_hplt_v3_pl` was removed from main (licence under review; it is re-added only after that review). - `samorzad_gov_pl` was rebuilt from the de-identified upstream v0.2: 72,472 documents / 40.0M tokens ([PR #46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46), scoped from [PR #15](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/15)). The 19 v0.2.5 sources still on main total 2,762,378 documents / 7,119.8M tokens. ## Sources on main, not yet released Built and documented, but **not** part of v0.2.5 and excluded from every total above. None has a recorded [NERGAL](https://huggingface.co/SlayerLab/NERGAL) pass yet, which a source needs before a release can admit it (see `AGENTS.md`). `common_voice_pl` documents are single validated sentences (at most 153 characters, below the 200-character document gate); whether sentence-level units are accepted is an open maintainer decision (see its datasheet). | source | description | license | documents | tokens | |---|---|---|---:|---:| | [uzp_orzeczenia_pl](data/uzp_orzeczenia_pl/uzp_orzeczenia_pl.md) | UZP Orzeczenia - KIO/SO/SA/SN public-procurement rulings | `public-domain (official documents)` | 34,715 | 422.0M | | [plwiki_user_talk](data/plwiki_user_talk/plwiki_user_talk.md) | Polish Wikipedia user-talk pages (ns 3) | `CC BY-SA 4.0` | 380,527 | 381.4M | | [sejm_committee_transcripts](data/sejm_committee_transcripts/sejm_committee_transcripts.md) | Sejm committee transcripts (terms 9-10) | `public-domain (official documents)` | 653,411 | 166.3M | | [sejm_api_2011_2022](data/sejm_api_2011_2022/sejm_api_2011_2022.md) | Sejm speeches 2011-2022 (terms VII-IX, attributed) | `public-domain (official documents)` | 118,902 | 135.1M | | [plwiki_talk](data/plwiki_talk/plwiki_talk.md) | Polish Wikipedia talk pages (ns 1+5) | `CC BY-SA 4.0` | 43,054 | 55.6M | | [ted_pl](data/ted_pl/ted_pl.md) | TED Polish public-procurement notices | `TED notice reuse terms` | 15,544 | 42.5M | | [sejm_interpellations](data/sejm_interpellations/sejm_interpellations.md) | Sejm interpellations and written questions (10th term) | `public-domain (official documents)` | 25,950 | 28.2M | | [nonsa](data/nonsa/nonsa.md) | Nonsensopedia (Polish satirical wiki, content namespaces) | `CC BY-SA 3.0` | 12,304 | 16.9M | | [openstax_pl](data/openstax_pl/openstax_pl.md) | OpenStax Poland - eight academic textbook volumes | `CC-BY-4.0` | 1,422 | 4.6M | | [open_icm_pl](data/open_icm_pl/open_icm_pl.md) | OPEN ICM Polish open-access publications pilot | `per-record CC BY or CC BY-SA` | 85 | 2.4M | | [studia_bas](data/studia_bas/studia_bas.md) | Studia BAS — peer-reviewed socioeconomic and public-policy articles | `CC-BY-3.0-PL` | 112 | 2.3M | | [wiadomosci_statystyczne_pl](data/wiadomosci_statystyczne_pl/wiadomosci_statystyczne_pl.md) | Wiadomosci Statystyczne. The Polish Statistician (GUS) | `CC BY-SA 4.0` | 169 | 1.5M | | [rock_pollub_pl](data/rock_pollub_pl/rock_pollub_pl.md) | ROCK Politechnika Lubelska - Polish academic books | `CC-BY-SA-4.0` | 8 | 1.2M | | [common_voice_pl](data/common_voice_pl/common_voice_pl.md) | Mozilla Common Voice Polish validated sentences (v26.0) | `CC0-1.0` | 45,043 | 1.0M | | [edukacja_medialna_pl](data/edukacja_medialna_pl/edukacja_medialna_pl.md) | Edukacja Medialna - Polish media-literacy lessons | `CC-BY-SA-3.0` | 252 | 0.7M | | [open_agh_chemistry_pl](data/open_agh_chemistry_pl/open_agh_chemistry_pl.md) | Open AGH - four Polish chemistry textbooks | `CC-BY-SA-4.0` | 370 | 0.6M | | [kultura_bez_barier_pl](data/kultura_bez_barier_pl/kultura_bez_barier_pl.md) | Kultura bez Barier PL (accessibility guides) | `CC-BY-SA-3.0` | 9 | 0.2M | | **total (not released)** | | | **1,331,877** | **1,262.4M** | ## 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 shipped in v0.2.4 and v0.2.5, then the data was removed from main because its licence is unverified: HPLT packaging is CC0, but the underlying crawled web documents can carry independent rights. It is re-added only after licence review. 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 --out . python3 src/make_docs.py ``` ## Results ### Corpus phrase frequency (normalized by tokens) Snapshot of the v0.2.5 release (all 20 Parquets, including `european_hplt_v3_pl`), produced with `src/pattern_frequency_report.py`. It is not recomputed for main; the next release regenerates it. - Total token count (tiktoken proxy): **9,676,513,980** | Pattern | Count | Share of all tokens | |---|---:|---:| | `w roku` | 587,251 | 0.0061% | | `klasyfikacji` | 164,888 | 0.0017% | | `ustawa` | 670,171 | 0.0069% | | `artykuł` | 2,417,211 | 0.0250% | | `parlament` | 1,300,050 | 0.0134% | | `rozporządzenie` | 1,528,556 | 0.0158% | | `w pobliżu` | 127,903 | 0.0013% | | `mieszkańców` | 479,471 | 0.0050% | | `Dz.U.` | 987,052 | 0.0102% | ### Per-source shares | source | pattern | count | share of source tokens | |---|---|---:|---:| | `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% | | `sejm_api` | `w roku` | 2,123 | 0.00584% | | `sejm_api` | `klasyfikacji` | 126 | 0.00035% | | `sejm_api` | `ustawa` | 11,042 | 0.03039% | | `sejm_api` | `artykuł` | 808 | 0.00222% | | `sejm_api` | `parlament` | 14,230 | 0.03916% | | `sejm_api` | `rozporządzenie` | 1,095 | 0.00301% | | `sejm_api` | `w pobliżu` | 87 | 0.00024% | | `sejm_api` | `mieszkańców` | 2,697 | 0.00742% | | `sejm_api` | `Dz.U.` | 4 | 0.00001% | | `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% | | `wiktionary_examples` | `w roku` | 56 | 0.00502% | | `wiktionary_examples` | `klasyfikacji` | 5 | 0.00045% | | `wiktionary_examples` | `ustawa` | 26 | 0.00233% | | `wiktionary_examples` | `artykuł` | 42 | 0.00376% | | `wiktionary_examples` | `parlament` | 28 | 0.00251% | | `wiktionary_examples` | `rozporządzenie` | 5 | 0.00045% | | `wiktionary_examples` | `w pobliżu` | 32 | 0.00287% | | `wiktionary_examples` | `mieszkańców` | 64 | 0.00574% | | `wiktionary_examples` | `Dz.U.` | 0 | 0.00000% | | `wolne_lektury` | `w roku` | 1,898 | 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)