| ---
|
| license: cc-by-sa-4.0
|
| language:
|
| - pl
|
| pretty_name: Polish DynaWord
|
| task_categories:
|
| - text-generation
|
| size_categories:
|
| - 1M<n<10M
|
| tags:
|
| - polish
|
| - pretraining
|
| - dynaword
|
| configs:
|
| - config_name: default
|
| data_files:
|
| - split: train
|
| path: data/*/*.parquet
|
| ---
|
|
|
| # Polish DynaWord
|
|
|
| A continuously developed corpus of human-written Polish text, **openly licensed
|
| or official**, a Polish edition in the [Dynaword](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword)
|
| family (Enevoldsen et al., [arXiv:2508.02271](https://arxiv.org/abs/2508.02271)).
|
|
|
| > **v0.2.6 stable** · 3,394,876 documents · **7.04B tokens**
|
| > (tiktoken proxy) · 27 sources
|
| > Updated: **2026-10-22**. v0.2.6 ships before the NERGAL personal-data pass;
|
| > the pass runs on every source before v0.2.7
|
| > ([Personal & sensitive data](#personal--sensitive-data)).
|
|
|
| > **main, not a release (2026-10-22)** · 27 sources · 3,394,876 documents ·
|
| > **7.04B tokens**: the same data as v0.2.6. Three registered sources are
|
| > [held off main](#held-off-main).
|
| > Cite the `v0.2.6` tag, not main.
|
|
|
| > **v0.3-dev experimental track** · quality/diversity workflow, source-gate
|
| > validation and candidate-data audits. This is development work, not a released
|
| > corpus version, and it does not replace the v0.2.6 stable parquets.
|
|
|
| > **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 |
|
| |---|---|---:|---:|---|
|
| | `v0.2.6` | stable release | 3,394,876 | 7.04B | Adds 12 sources and withdraws five; the 15 v0.2.5 sources it keeps are relabelled, filtered or rebuilt. Ships before the NERGAL personal-data pass. |
|
| | `v0.2.5` | previous stable | 4,366,651 | 9.68B | Adds community-contributed `samorzad_gov_pl` (institution-level author attribution and a URL-bearing attribution sidecar), `sejm_api` and `wiktionary_examples`. |
|
| | `v0.2.4` | previous stable | 4,246,429 | 9.60B | Expanded `european_hplt_v3_pl` to WDS bins 10-5 (+1.49M docs / 2.04B tok); phone PII-scrub hardening (independent dual-lens) + cross-source dedup (zero-overlap). |
|
| | `v0.2.3` | previous stable | 2,710,974 | 6.88B | Adds community-contributed `european_hplt_v3_pl`, `global_voices` and `nkjp1m`. |
|
| | `v0.2.2` | previous stable | 2,579,963 | 6.36B | Added community-contributed `govpl`: 88,190 docs / 80.7M tokens. |
|
| | `v0.2.1` | previous stable | 2,491,773 | 6.28B | 12-source corpus with `license` and `author` metadata columns; added `1000_novels`. |
|
| | `v0.2.0` | previous stable | 2,490,773 | 6.22B | Provenance-first corpus from 11 open/official sources. |
|
|
|
| The figures above are the releases as published. The tags `v0.2.0`-`v0.2.5`
|
| were deleted after the October 2026 rights audit: they held data that v0.2.6
|
| withdrew or changed ([Withdrawn since v0.2.5](#withdrawn-since-v025),
|
| [Changes since v0.2.5](#changes-since-v025)). Their notes stay below and in
|
| `CHANGELOG.md`; `v0.2.6` is the earliest release that can be loaded.
|
|
|
| 
|
|
|
| ### 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
|
|
|
| #### v0.2.6 — current stable
|
|
|
| **27 sources, 3,394,876 documents / 7,036,938,603 cl100k-proxy tokens:**
|
|
|
| - adds 12 sources, 1,097,821 documents / 637,130,408 tokens:
|
| `plwiki_user_talk`, `sejm_committee_transcripts`, `plwiki_talk`, `ted_pl`,
|
| `sejm_api_2011_2022`, `nonsa`, `studia_bas`, `wiadomosci_statystyczne_pl`,
|
| `rock_pollub_pl`, `edukacja_medialna_pl`, `open_agh_chemistry_pl` and
|
| `open_icm_pl`;
|
| - keeps 15 of the 20 v0.2.5 sources, 2,297,055 documents / 6,399,808,195
|
| tokens, each relabelled, filtered or rebuilt
|
| ([Changes since v0.2.5](#changes-since-v025));
|
| - withdraws five v0.2.5 sources: `european_hplt_v3_pl`, `wikisource`,
|
| `1000_novels`, `samorzad_gov_pl` and `wikiquote`
|
| ([Withdrawn since v0.2.5](#withdrawn-since-v025));
|
| - leaves out `sejm_interpellations` and `kultura_bez_barier_pl`, both
|
| [held off main](#held-off-main).
|
|
|
| v0.2.6 ships before the NERGAL personal-data pass. Only each source's own
|
| filters apply (see its datasheet); the pass runs on every source before v0.2.7.
|
|
|
| #### v0.2.5 — previous stable
|
|
|
| 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 release has 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 upstream publishers, official sources and existing open
|
| corpora; `eurlex`, `wolne_lektury` and `biblioteka_nauki` come from SpeakLeash's
|
| redistribution. **The value added here is the curation, not the bytes**,
|
| following the Dynaword methodology:
|
|
|
| 1. **License review per source** — each source vetted for a *traceable* legal
|
| basis (a licence, the public domain or official-document status, documented
|
| in its datasheet); sources that fail the review are **excluded with a stated
|
| reason** (see table below), not silently kept. This is the core editorial
|
| work.
|
| 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 their authors and upstream sources,
|
| and to SpeakLeash as the redistributor of `eurlex`, `wolne_lektury` and
|
| `biblioteka_nauki`; this release does not claim ownership of them (see
|
| Disclaimer).
|
|
|
| ## 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` (held off 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. Added 11 sources released in v0.2.6 (`sejm_api_2011_2022`, `open_agh_chemistry_pl`, `edukacja_medialna_pl`, `ted_pl`, `rock_pollub_pl`, `open_icm_pl`, `wiadomosci_statystyczne_pl`, `plwiki_talk`, `sejm_committee_transcripts`, `plwiki_user_talk`, `nonsa`) and `kultura_bez_barier_pl` (held off main, not yet released); `uzp_orzeczenia_pl`, held off main until v0.2.8; landed `studia_bas` and the `samorzad_gov_pl` v0.2 update; `build_dynaword` `preserve_id`/`preserve_created` flags. | `v0.2.5`, [PR #16](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/16); `v0.2.6`, [#18](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/18), [#25](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/25)–[#27](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/27), [#32](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/32)–[#37](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/37), [#39](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/39)–[#41](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/41), [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)–[#46](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/46) |
|
| | [Katarzyna Majzel-Pośpiech](https://huggingface.co/KateMajzel) | Added `wiktionary_examples`: usage examples extracted from the Polish Wiktionary dump, one document per headword. | `v0.2.5`, [PR #14](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/14) |
|
| | [gzawadzki](https://huggingface.co/gzawadzki) | Added `studia_bas`: peer-reviewed socioeconomic and public-policy articles from Studia BAS. | `v0.2.6`, [PR #19](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/19) (merged via [#44](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/44)) |
|
|
|
| Contributions are credited when they add a verifiable dataset artifact, pipeline,
|
| validation, documentation or release work. A merged discussion with no resulting
|
| files is not listed as a data contribution.
|
|
|
| ## Guiding principles
|
| 1. **Open & traceable licensing** — every source is *openly licensed* or outside copyright, with a
|
| documented legal basis (see each datasheet's "traceable basis"), not a vague "public domain".
|
| A few sources have a contested legal status rather than a licence; their datasheets describe it.
|
| 2. **Reproducibility** — `src/build_dynaword.py` rebuilds the corpus from sources.
|
| 3. **Documented** — a datasheet per source under `data/<source>/`.
|
| 4. **Extensibility** — versioned; new sources via PR.
|
|
|
| ## Sources
|
| | source | description | license | documents | tokens |
|
| |---|---|---|---:|---:|
|
| | [eurlex](data/eurlex/eurlex.md) | EUR-Lex (EU legal acts, Polish) | `LicenseRef-EU-Reuse-Policy` | 242,488 | 2,333.0M |
|
| | [parliamentary](data/parliamentary/parliamentary.md) | Polish Parliamentary Corpus (Sejm/Senat) | `public-domain (official documents)` | 329,863 | 1,504.1M |
|
| | [wikipedia](data/wikipedia/wikipedia.md) | Polish Wikipedia | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 1,468,647 | 1,226.9M |
|
| | [biblioteka_nauki](data/biblioteka_nauki/biblioteka_nauki.md) | Biblioteka Nauki | `per-record upstream license` | 37,843 | 590.9M |
|
| | [dziennik_ustaw](data/dziennik_ustaw/dziennik_ustaw.md) | Dziennik Ustaw (Polish primary legislation) | `public-domain (official documents)` | 35,442 | 486.1M |
|
| | [plwiki_user_talk](data/plwiki_user_talk/plwiki_user_talk.md) | Polish Wikipedia user-talk pages (ns 3) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 380,295 | 381.0M |
|
| | [sejm_committee_transcripts](data/sejm_committee_transcripts/sejm_committee_transcripts.md) | Sejm committee transcripts (terms 9-10) | `public-domain (official documents)` | 613,722 | 112.0M |
|
| | [wolne_lektury](data/wolne_lektury/wolne_lektury.md) | Wolne Lektury (school readings) | `per-record Wolne Lektury licence (public domain, LAL 1.3, CC BY-SA 3.0 PL/3.0/4.0)` | 5,900 | 91.7M |
|
| | [govpl](data/govpl/govpl.md) | gov.pl — Polish government press releases | `CC-BY-SA-4.0` | 74,946 | 68.3M |
|
| | [plwiki_talk](data/plwiki_talk/plwiki_talk.md) | Polish Wikipedia talk pages (ns 1+5) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 43,054 | 55.6M |
|
| | [ted_pl](data/ted_pl/ted_pl.md) | TED Polish public-procurement notices | `TED notice status, no licence granted` | 14,210 | 39.6M |
|
| | [sejm_api](data/sejm_api/sejm_api.md) | Sejm API parliamentary speeches (2023 onward) | `public-domain (official documents)` | 39,776 | 30.6M |
|
| | [sejm_api_2011_2022](data/sejm_api_2011_2022/sejm_api_2011_2022.md) | Sejm speeches 2011-2022 (terms VII-IX, attributed) | `public-domain (official documents)` | 33,930 | 26.9M |
|
| | [eltec_pol](data/eltec_pol/eltec_pol.md) | ELTeC-pol (European Literary Text Collection, Polish) | `CC-BY-4.0` | 100 | 21.5M |
|
| | [nonsa](data/nonsa/nonsa.md) | Nonsensopedia (Polish satirical wiki, content namespaces) | `CC BY-SA 3.0` | 11,692 | 15.4M |
|
| | [wikibooks](data/wikibooks/wikibooks.md) | Polish Wikibooks (open textbooks) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date, plus the licence of imported text)` | 9,041 | 15.2M |
|
| | [wikivoyage](data/wikivoyage/wikivoyage.md) | Polish Wikivoyage (travel guides) | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 7,312 | 14.1M |
|
| | [wikinews](data/wikinews/wikinews.md) | Polish Wikinews | `CC BY (2.5, 4.0 or both per record, by contribution date, plus the licence of imported text)` | 23,572 | 11.0M |
|
| | [global_voices](data/global_voices/global_voices.md) | Global Voices Polish | `CC-BY-3.0` | 1,926 | 3.5M |
|
| | [nkjp1m](data/nkjp1m/nkjp1m.md) | The manually annotated 1-million word subcorpus of the National Corpus of Polish | `CC-BY-4.0` | 18,381 | 2.6M |
|
| | [studia_bas](data/studia_bas/studia_bas.md) | Studia BAS — peer-reviewed socioeconomic and public-policy articles | `CC-BY-3.0-PL` | 112 | 2.3M |
|
| | [wiadomosci_statystyczne_pl](data/wiadomosci_statystyczne_pl/wiadomosci_statystyczne_pl.md) | Wiadomosci Statystyczne. The Polish Statistician (GUS) | `CC BY-SA 4.0` | 169 | 1.5M |
|
| | [rock_pollub_pl](data/rock_pollub_pl/rock_pollub_pl.md) | ROCK Politechnika Lubelska - Polish academic books | `CC-BY-SA-4.0` | 8 | 1.2M |
|
| | [edukacja_medialna_pl](data/edukacja_medialna_pl/edukacja_medialna_pl.md) | Edukacja Medialna - Polish media-literacy lessons | `CC-BY-SA-3.0` | 248 | 0.7M |
|
| | [open_agh_chemistry_pl](data/open_agh_chemistry_pl/open_agh_chemistry_pl.md) | Open AGH - four Polish chemistry textbooks | `CC-BY-SA-4.0` | 370 | 0.6M |
|
| | [open_icm_pl](data/open_icm_pl/open_icm_pl.md) | OPEN ICM Polish open-access publications pilot | `per-record CC BY or CC BY-SA` | 11 | 0.4M |
|
| | [wiktionary_examples](data/wiktionary_examples/wiktionary_examples.md) | Polish Wiktionary usage examples | `CC BY-SA (3.0, 4.0 or both per record, by contribution date)` | 1,818 | 0.2M |
|
| | **total** | | | **3,394,876** | **7,036.9M** |
|
|
|
| Each document's `license` field gives its own licence or status; the label above
|
| summarises the source.
|
|
|
| ### Withdrawn since v0.2.5
|
|
|
| These v0.2.5 sources are not in v0.2.6, and no release tag holds them: the
|
| earlier tags were deleted ([Releases](#releases)).
|
|
|
| | source | v0.2.5 documents | v0.2.5 tokens | reason |
|
| |---|---:|---:|---|
|
| | `european_hplt_v3_pl` | 1,603,974 | 2,555.5M | Licence unverified: HPLT's CC0 covers its packaging, not the crawled pages. It will not be re-added. |
|
| | `wikisource` | 632,005 | 801.9M | Its single CC BY-SA 3.0 label also covered in-copyright post-war imprints that carry their own per-page licences. A rebuild from the official dump is planned for a later release. |
|
| | `1000_novels` | 1,000 | 60.5M | Its rights screen ([PR #49](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/49), [PR #55](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/55)) kept the public-domain texts, but no row records the edition its text follows, so a protected preface, abridgement or editor's corrections cannot be ruled out. Withdrawn on 2026-10-17 ([PR #124](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/124)). |
|
| | `samorzad_gov_pl` | 72,771 | 41.2M | Its CC BY-SA 4.0 is the platform operator's footer, not a grant from the 247 institutions that wrote the texts. Withdrawn on 2026-10-17 ([PR #123](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/123)). |
|
| | `wikiquote` | 30,363 | 31.9M | Most of its pages quote works still in copyright, and its CC BY-SA label covers only the contributors' selection. |
|
|
|
| ### Changes since v0.2.5
|
|
|
| The 15 v0.2.5 sources in v0.2.6 total 2,297,055 documents / 6,399.8M tokens.
|
|
|
| - `eurlex` is relabelled `LicenseRef-EU-Reuse-Policy`: v0.2.5 labelled it
|
| `CC-BY-4.0`, but the EUR-Lex notice grants CC BY 4.0 only for consolidated
|
| texts and editorial content, not the acts themselves, and excludes
|
| third-party material. The 92 documents carrying the IASB notice and
|
| 480 more found by a row review (third-party credits, UN ECE regulations,
|
| European Parliament stubs) are dropped, and `eurlex.attribution.jsonl` gives
|
| each row its EUR-Lex link. 242,488 documents / 2,333.0M tokens
|
| ([PR #71](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/71), [PR #82](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/82), [PR #173](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/173), [PR #177](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/177)).
|
| - `parliamentary` was rebuilt from IPI PAN's speaker-labelled TEI dump: only
|
| official speakers are kept in the sittings and exact copies are dropped. The
|
| System Informacyjny Sejmu credit is given for its Sejm material as a
|
| precaution. 329,863 documents / 1,504.1M tokens
|
| ([PR #108](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/108), [PR #111](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/111)).
|
| - `wikipedia` was rebuilt from the official plwiki dump, replacing the SpeakLeash
|
| snapshot. Each record is labelled CC BY-SA 3.0, 4.0 or both by its
|
| contribution dates. The 35 pages that carry plwiki's copyright-violation notice
|
| are dropped, and so are 7 pages that plwiki deleted for a copyright
|
| violation. 1,171,897 → 1,468,647 documents, 707.2M → 1,226.9M tokens
|
| ([PR #68](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/68), [PR #128](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/128), [PR #148](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/148)).
|
| - `biblioteka_nauki` keeps its text from the SpeakLeash redistribution. Each
|
| record now carries the licence version and licence basis the Biblioteka Nauki
|
| API gives for it. 3 records under the Public Domain Mark and 4,142 further
|
| rows were dropped after review. 42,071 → 37,843 documents, 673.5M → 590.9M tokens
|
| ([PR #62](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/62), [PR #81](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/81), [PR #186](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/186)).
|
| - `dziennik_ustaw` no longer claims Monitor Polski, which it never included. A
|
| sidecar gives each row its ELI address, and the System Informacyjny Sejmu
|
| credit is given as a precaution. Its text and counts are unchanged:
|
| 35,442 documents / 486.1M tokens ([PR #103](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/103), [PR #160](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/160), [PR #162](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/162)).
|
| - `wolne_lektury` is relabelled per document: v0.2.5 labelled every document
|
| `CC-BY-SA-4.0 / Wolna Sztuka 1.3`, which is wrong. Each now carries the
|
| licence its own Wolne Lektury book states (4,383 public domain, 1,467 LAL 1.3,
|
| 50 CC BY-SA 3.0 PL, 3.0 or 4.0), with its credits in
|
| `wolne_lektury.attribution.jsonl`. 67 documents are dropped (63 eltec_pol
|
| novels, 2 with no usable licence, 2 whose translation is not free), 174
|
| printed in two later editors' selections are held out until the books'
|
| contents are checked, and the author's and translator's notes are added at
|
| the end of 459 texts.
|
| 5,900 documents / 91.7M tokens
|
| ([PR #67](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/67), [PR #99](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/99), [PR #184](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/184), [PR #188](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/188), [PR #190](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/190), [PR #191](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/191)).
|
| - `govpl` drops 188 PAP reprints, 186 other third-party texts and 12,870 press
|
| releases of prosecutor's offices. 88,190 → 74,946 documents, 80.7M → 68.3M tokens
|
| ([PR #63](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/63), [PR #170](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/170), [PR #214](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/214)).
|
| - `sejm_api` cuts the "Przebieg posiedzenia" trailers, puts the 2,466
|
| statements they appended into rows of their own and drops 123 rows by speakers
|
| outside its allowlist. 38,812 → 39,776 documents, 36.3M → 30.6M tokens ([PR #83](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/83), [PR #158](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/158)).
|
| - `eltec_pol` adds author metadata and an attribution sidecar and restores the
|
| chapter titles: 100 documents / 21.5M tokens ([PR #187](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/187)).
|
| - `wikibooks` withholds 54 pages: 51 by the rights review and 3 with
|
| `{{GFDL-tekst}}`. Each record is labelled by its contribution dates and the
|
| licence of imported text, and markup residue is removed. 9,112 → 9,041
|
| documents, 15.6M → 15.2M tokens ([PR #127](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/127), [PR #134](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/134), [PR #139](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/139), [PR #142](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/142), [PR #147](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/147)).
|
| - `wikivoyage` withholds 6,330 pages: 6,326 with `{{Atrybucja}}` (text from
|
| Wikitravel), 2 with `{{Import}}` and 2 by the rights review. Each record is
|
| labelled by its contribution dates, and markup residue is removed.
|
| 13,645 → 7,312 documents, 17.1M → 14.1M tokens ([PR #125](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/125), [PR #133](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/133), [PR #138](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/138), [PR #141](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/141)).
|
| - `wikinews` withholds 1 page. Each record is labelled by its contribution
|
| dates and the licence of imported text, and markup residue is removed.
|
| 24,386 → 23,572 documents, 12.1M → 11.0M tokens
|
| ([PR #77](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/77), [PR #130](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/130), [PR #132](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/132), [PR #137](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/137), [PR #146](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/146)).
|
| - `global_voices` drops 114 posts republished from partner outlets.
|
| 2,040 → 1,926 documents, 3.7M → 3.5M tokens ([PR #66](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/66)).
|
| - `nkjp1m` is relabelled `CC-BY-4.0` per the NKJP Consortium and ships an
|
| agreed attribution file; its text is unchanged ([PR #51](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/51)).
|
| - `wiktionary_examples` dropped the lines quoting third-party works and is
|
| relabelled per record `CC-BY-SA-3.0`, `CC-BY-SA-4.0` or both, by contribution
|
| date. 8,639 → 1,818 documents, 1.1M → 0.2M tokens ([PR #50](https://huggingface.co/datasets/SlayerLab/polish-dynaword/discussions/50)).
|
|
|
| ## Held off main
|
| These registered sources (`release: None`) have no data on main and are in no
|
| release (see `CHANGELOG.md`):
|
|
|
| - `sejm_interpellations`, until v0.2.7: it quotes letters from the public, some
|
| with health details, and waits for the NERGAL pass.
|
| - `kultura_bez_barier_pl`, until the scope of its licence is answered.
|
| - `uzp_orzeczenia_pl`, until v0.2.8: the personal-data pass leaves part of the
|
| sole traders' firm names and addresses unmasked.
|
|
|
| ## 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.
|
|
|
| Cross-source deduplication covers some pairs of sources only. Wolne Lektury
|
| drops a document when at least 0.9 of its 5-word shingles are in one ELTeC
|
| novel; below that, both copies stay. Both tomes of Helena Mniszek's
|
| *Trędowata* (0.7588 and 0.6473 against the same, shorter ELTeC text) are
|
| therefore in both `wolne_lektury` and `eltec_pol`; the pairs are listed in
|
| `data/wolne_lektury/wolne_lektury.eltec_pairs.tsv`.
|
|
|
| ## v0.3 quality roadmap and current status
|
|
|
| The v0.2.x raw corpus is intentionally provenance-first, but its token mix is too
|
| 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 with its text from SpeakLeash's redistribution
|
| and each document's licence and author from the Biblioteka Nauki API.
|
| - `europeana`: prepared in the source registry as a direct-upstream rebuild
|
| target with per-record rights statements and creator metadata; raw SpeakLeash
|
| Europeana remains excluded.
|
| - Europeana release policy: split conservatively at pre-1929 records for
|
| US-sensitive downstream reuse, and keep later/unknown records separately
|
| labeled or held until their US rights status is checked.
|
| - `european_hplt_v3_pl`: WDS bins 10-5 shipped in v0.2.4 and v0.2.5, then the
|
| data was removed from main because its licence is unverified: HPLT packaging
|
| is CC0, but the underlying crawled web documents can carry independent rights.
|
| It will not be re-added.
|
| - `1000_novels`: a per-text rights screen kept the texts in the public domain in
|
| Poland, but no row records the edition its text follows, so the source was
|
| withdrawn from main on 2026-10-17. Re-admission, per text with the edition
|
| identified, is tracked for v0.2.8.
|
|
|
| Current review artifacts:
|
|
|
| - `configs/source_candidates_v0_3.json` — candidate decisions and license policy.
|
| - `artifacts/source_license_review_v0_3.md` — source-by-source license review.
|
| - `artifacts/source_candidate_audit_v0_3.md` — generated Hugging Face metadata audit.
|
| - `artifacts/training_mix_v0_3.md` — example 1B-token training mix with legal sources capped at 15%.
|
| - `artifacts/bartek_source_ingestion_plan_2026-07-02.md` — PR contract for
|
| Biblioteka Nauki and Europeana ingestion.
|
|
|
| ## Excluded sources (transparency)
|
| Sources we reviewed and **deliberately left out** — part of the curation:
|
|
|
| | source | reason |
|
| |---|---|
|
| | `open_subtitles_corpus` | Derivative of copyrighted film/TV dialogue; OpenSubtitles uploads largely unlicensed. Same copyright lesson as Danish Gigaword's OpenSubtitles (paper 2508.02271). Not openly licensed. |
|
| | `europeana_eu_pl_corpus_raw_speakleash` | Aggregated items with mixed per-record rights (PD / CC-BY-NC / rights-reserved). The raw SpeakLeash redistribution is excluded; only a direct rebuild preserving per-record rights metadata may be included. |
|
| | `project_gutenberg_pl_corpus` | Only 31 PL books (4.3MB) — PG is ~99% English; Polish PD literature already covered by wolne_lektury (so near-redundant after dedup). Dropped to avoid the PD-in-EU per-work check (PG claims PD-in-US only) for negligible token gain. |
|
|
|
| ## Personal & sensitive data
|
| The corpus is built from text that its upstream sources already published under
|
| open licences or as official public record. It names **public figures acting in
|
| a public capacity**, for example:
|
| - parliamentary speakers, from [PPC](https://clip.ipipan.waw.pl/PPC) (the Polish
|
| Parliamentary Corpus) and the Sejm API;
|
| - authorities named in legal acts (EUR-Lex);
|
| - people described in encyclopedic articles (Wikipedia).
|
|
|
| The corpus can also hold personal data about private persons, which our filters
|
| do not fully remove.
|
|
|
| **v0.2.6 ships before the NERGAL pass.** Only each source's own filters apply
|
| (see its datasheet). The [NERGAL](https://huggingface.co/SlayerLab/NERGAL)
|
| personal-data pass runs on every source before v0.2.7.
|
|
|
| **Your rights.** If the corpus holds data about you, you can ask us to:
|
| - tell you what it holds (GDPR Art. 15);
|
| - correct it (Art. 16);
|
| - remove it (Art. 17);
|
| - restrict its use (Art. 18).
|
|
|
| You can also object to its processing (Art. 21).
|
|
|
| Write to **takedown@fabryka.ai**. Name the record by its source and record id,
|
| by a link, or by a phrase from its text.
|
| - We answer within one month. For complex or numerous requests we may extend
|
| this by two months, and we tell you why within the first month.
|
| - We ask for proof of identity only when we cannot otherwise tell that the
|
| request is yours.
|
| - You can also complain to the President of the Personal Data Protection Office
|
| (UODO).
|
|
|
| Removal follows the notice-and-takedown procedure below.
|
|
|
| ## Disclaimer & legal
|
| - **Provenance in good faith.** Per-source licences are reproduced *as documented
|
| by the upstream sources*, to the best of our knowledge. We make no independent
|
| legal warranty about the copyright status of any individual document.
|
| - **Publication basis.** Each source is published on its own basis, given in its
|
| datasheet: a licence, the public domain, the status of an official document or
|
| another basis the datasheet states.
|
| We do not rely on the text-and-data-mining exception to publish any source.
|
| - **Acquisition dates.** Datasheets give the date a source was fetched where we
|
| recorded it; it is not recorded for every source.
|
| - **No ownership claim.** This release is a *curated, license-reviewed, documented
|
| aggregation*. We claim no ownership of the underlying texts; rights remain with
|
| the original authors/rightsholders under their respective licenses.
|
| - **Provided "as is"**, without warranty of any kind, express or implied. This is
|
| not legal advice.
|
| - **Your compliance is yours.** Downstream users must satisfy the licence of each
|
| document themselves, as its `license` field and its source's datasheet give
|
| it, including attribution. See
|
| [Training models on this dataset](#training-models-on-this-dataset).
|
| - **Copied text in Wikipedia.** The Wikipedia build drops pages that carry
|
| plwiki's copyright-violation notice, but it cannot detect a paste without one.
|
| In a hand-checked sample of 80 pages, 2 contained text copied or closely
|
| paraphrased from a copyrighted source: about 2.5%, with a 95% upper bound of
|
| 12.9% for each licence label. Both pages are dropped; others like them remain
|
| and are removed on notice (below). Method and sample:
|
| [data/wikipedia/wikipedia.md](data/wikipedia/wikipedia.md).
|
| - **Notice-and-takedown.** Anyone can ask us to remove a record: a rightsholder,
|
| a source, or a person the text is about. Write to **takedown@fabryka.ai**. Name
|
| the record by its source and record id, by a link, or by a phrase from its
|
| text, and give the reason.
|
| - We acknowledge the request within 5 working days.
|
| - We **disable** a substantiated request **within 7 days**. The record leaves
|
| `main`. Its id and text hash go on a blocklist, so no later build brings it
|
| back.
|
| - We then **remove it from every earlier public revision** on the Hub,
|
| including tagged releases. We aim to finish within 30 days, with Hugging
|
| Face's help where history has to be rewritten. Old commits and tags stay,
|
| but the removed files can no longer be downloaded from them. We cannot
|
| reach copies that were downloaded before.
|
| - We record each removal in [takedown/register.md](takedown/register.md),
|
| without personal data.
|
| - The procedure is in [takedown/PROCEDURE.md](takedown/PROCEDURE.md).
|
|
|
| ## License & attribution
|
| The collection (selection, arrangement and our metadata) is released under
|
| **CC BY-SA 4.0**, to the extent of our rights. Each document keeps the licence or
|
| status in its `license` field; the collection licence does not change it, and it
|
| does not cover third-party works in official documents or third-party statements
|
| in parliamentary texts. Attribution is due to each upstream source (see the
|
| datasheets). A source withdrawn after an objection is recorded in the CHANGELOG.
|
| A single record removed on request is listed in
|
| [takedown/register.md](takedown/register.md); see Notice-and-takedown above.
|
|
|
| ### Training models on this dataset
|
| CC licenses apply only to uses that require permission under copyright or related
|
| rights; they do not restrict uses permitted by statutory exceptions. The ShareAlike
|
| condition applies when adapted material is shared publicly, and including a work
|
| unchanged in a collection does not by itself create adapted material. In our
|
| understanding, and in the view of several commentators, training a model does not
|
| by itself make the model adapted material of the training texts, so ShareAlike
|
| does not apply to model weights or adapters merely because they were trained on
|
| such texts; this has not been tested in court. The assessment may differ where a
|
| model or adapter contains and can reproduce protected portions of training texts,
|
| or where an output reproduces protected expression from them, literally or in
|
| recognisably adapted or translated form; sharing such a model or output then
|
| requires a basis (the license of the reproduced text, with its conditions, or a
|
| statutory exception), and whether ShareAlike also applies in that case is
|
| unsettled. Creative Commons has published guidance for those who choose to comply
|
| with CC licenses in all cases, stating that it does not take a position on whether
|
| and when copyright applies; it recommends that models and outputs based on
|
| ShareAlike material be shared under the same license, while noting that this will
|
| almost certainly lead to overcompliance. The Free Art License 1.3 has its own
|
| copyleft conditions, for derived works (§ 2.3) and for incorporation into a larger
|
| work (§ 4), and their application to models is likewise unsettled. Datasets
|
| derived from individual documents (paraphrased, summarised or machine-translated
|
| versions) and retrieval datastores containing the texts are outside this
|
| assessment: sharing them may amount to sharing the texts or adaptations of them;
|
| embedding indexes and new databases built from this dataset may need a separate
|
| assessment.
|
|
|
| If you want to minimise licensing risk for a model trained on this dataset, you
|
| can exclude documents whose license field indicates CC BY-SA or the Free Art
|
| License. If you include them and ShareAlike or the Free Art License's copyleft
|
| does apply to what you share, it is not enough to share it on terms that merely
|
| do not restrict the rights granted: CC BY-SA requires a Creative Commons license
|
| with the same License Elements (this version or later) or a BY-SA Compatible
|
| License, and the Free Art License requires the same or a compatible license.
|
| Attribution obligations attach to the individual licensed texts (creator,
|
| copyright and license notices, indication of changes); crediting the dataset (for
|
| example "Training data: Polish DynaWord, <link>") helps only if the link leads to
|
| a resource that actually contains the information required for each text. Check
|
| what the dataset provides for each document: the license and source fields may
|
| not include every required notice (for example, author names are missing for
|
| some older sources). License metadata may contain errors; filtering reduces, but
|
| does not eliminate, this risk.
|
|
|
| Models may reproduce portions of training texts, literally or in recognisably
|
| adapted or translated form. Where an output reproduces protected expression from
|
| a text and sharing it requires permission, it is subject to that text's license
|
| (including attribution); facts, ideas, commonplace phrases without original
|
| expression and uses covered by statutory exceptions (such as quotation) are not;
|
| shortness alone does not make a fragment unprotected.
|
|
|
| Removing a text from the corpus does not remove it from models already trained.
|
|
|
| ## For general-purpose model providers
|
| What a provider of a general-purpose AI model may need for its copyright policy
|
| and its public summary of training content (AI Act, Art. 53(1)(c) and (d)). Those
|
| obligations rest with the model provider. This card is not a compliance
|
| guarantee.
|
|
|
| - **Name and version:** Polish DynaWord `v0.2.6`,
|
| <https://huggingface.co/datasets/SlayerLab/polish-dynaword>, loaded with
|
| `revision="v0.2.6"`.
|
| - **Size and acquisition:** documents and tokens per source in [Sources](#sources).
|
| Each datasheet under `data/<source>/` gives the date the source was fetched
|
| where we recorded it; it is not recorded for every source.
|
| - **Content:** human-written Polish text under open licences (Creative Commons,
|
| the Free Art License), public-domain works and official documents
|
| (legislation, parliamentary records, public-procurement notices). It contains
|
| personal data from public sources
|
| ([Personal & sensitive data](#personal--sensitive-data)).
|
| - **Licence per document:** the machine-readable `license` field. Each
|
| datasheet gives the source's basis for publication.
|
| - **Text-and-data-mining reservations:** we did not check machine-readable
|
| reservations (for example in robots.txt) systematically, and the corpus does
|
| not record them per document.
|
| - **Filters and personal data:** the gates in [Method](#method) and each
|
| source's own filters, described in its datasheet. v0.2.6 has not had the
|
| NERGAL personal-data pass; it runs on every source before v0.2.7.
|
| - **Withdrawn sources and change history:**
|
| [Withdrawn since v0.2.5](#withdrawn-since-v025) and `CHANGELOG.md`.
|
| - **Removal requests:** the notice-and-takedown procedure under
|
| [Disclaimer & legal](#disclaimer--legal), with the public register in
|
| [takedown/register.md](takedown/register.md).
|
|
|
| ## Reproduce
|
| ```bash
|
| python3 src/build_dynaword.py --all --speakleash-dir <speakleash_zst_dir> --out .
|
| python3 src/make_docs.py
|
| ```
|
|
|
| ## Results
|
|
|
| ### Corpus phrase frequency (normalized by tokens)
|
|
|
| Raw counts and token-normalized shares are regenerated from the current Parquet files with `src/pattern_frequency_report.py`.
|
|
|
| - Total token count (tiktoken proxy): **7,036,938,603**
|
|
|
| | Pattern | Count | Share of all tokens |
|
| |---|---:|---:|
|
| | `w roku` | 457,031 | 0.0065% |
|
| | `klasyfikacji` | 169,748 | 0.0024% |
|
| | `ustawa` | 664,616 | 0.0094% |
|
| | `artykuł` | 3,423,411 | 0.0486% |
|
| | `parlament` | 1,284,768 | 0.0183% |
|
| | `rozporządzenie` | 1,515,578 | 0.0215% |
|
| | `w pobliżu` | 81,258 | 0.0012% |
|
| | `mieszkańców` | 337,033 | 0.0048% |
|
| | `Dz.U.` | 979,489 | 0.0139% |
|
|
|
| ### Per-source shares
|
|
|
| | source | pattern | count | share of source tokens |
|
| |---|---|---:|---:|
|
| | `biblioteka_nauki` | `w roku` | 24,639 | 0.00417% |
|
| | `biblioteka_nauki` | `klasyfikacji` | 7,192 | 0.00122% |
|
| | `biblioteka_nauki` | `ustawa` | 45,001 | 0.00762% |
|
| | `biblioteka_nauki` | `artykuł` | 84,189 | 0.01425% |
|
| | `biblioteka_nauki` | `parlament` | 29,217 | 0.00494% |
|
| | `biblioteka_nauki` | `rozporządzenie` | 18,331 | 0.00310% |
|
| | `biblioteka_nauki` | `w pobliżu` | 2,783 | 0.00047% |
|
| | `biblioteka_nauki` | `mieszkańców` | 30,702 | 0.00520% |
|
| | `biblioteka_nauki` | `Dz.U.` | 31,913 | 0.00540% |
|
| | `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% |
|
| | `edukacja_medialna_pl` | `w roku` | 1 | 0.00014% |
|
| | `edukacja_medialna_pl` | `klasyfikacji` | 1 | 0.00014% |
|
| | `edukacja_medialna_pl` | `ustawa` | 31 | 0.00435% |
|
| | `edukacja_medialna_pl` | `artykuł` | 167 | 0.02342% |
|
| | `edukacja_medialna_pl` | `parlament` | 0 | 0.00000% |
|
| | `edukacja_medialna_pl` | `rozporządzenie` | 0 | 0.00000% |
|
| | `edukacja_medialna_pl` | `w pobliżu` | 0 | 0.00000% |
|
| | `edukacja_medialna_pl` | `mieszkańców` | 10 | 0.00140% |
|
| | `edukacja_medialna_pl` | `Dz.U.` | 0 | 0.00000% |
|
| | `eltec_pol` | `w roku` | 108 | 0.00050% |
|
| | `eltec_pol` | `klasyfikacji` | 1 | 0.00000% |
|
| | `eltec_pol` | `ustawa` | 153 | 0.00071% |
|
| | `eltec_pol` | `artykuł` | 174 | 0.00081% |
|
| | `eltec_pol` | `parlament` | 95 | 0.00044% |
|
| | `eltec_pol` | `rozporządzenie` | 35 | 0.00016% |
|
| | `eltec_pol` | `w pobliżu` | 246 | 0.00114% |
|
| | `eltec_pol` | `mieszkańców` | 214 | 0.00100% |
|
| | `eltec_pol` | `Dz.U.` | 0 | 0.00000% |
|
| | `eurlex` | `w roku` | 39,642 | 0.00170% |
|
| | `eurlex` | `klasyfikacji` | 57,321 | 0.00246% |
|
| | `eurlex` | `ustawa` | 30,329 | 0.00130% |
|
| | `eurlex` | `artykuł` | 1,774,561 | 0.07606% |
|
| | `eurlex` | `parlament` | 779,474 | 0.03341% |
|
| | `eurlex` | `rozporządzenie` | 1,200,341 | 0.05145% |
|
| | `eurlex` | `w pobliżu` | 5,754 | 0.00025% |
|
| | `eurlex` | `mieszkańców` | 9,389 | 0.00040% |
|
| | `eurlex` | `Dz.U.` | 914,962 | 0.03922% |
|
| | `global_voices` | `w roku` | 146 | 0.00423% |
|
| | `global_voices` | `klasyfikacji` | 4 | 0.00012% |
|
| | `global_voices` | `ustawa` | 148 | 0.00428% |
|
| | `global_voices` | `artykuł` | 913 | 0.02643% |
|
| | `global_voices` | `parlament` | 348 | 0.01008% |
|
| | `global_voices` | `rozporządzenie` | 23 | 0.00067% |
|
| | `global_voices` | `w pobliżu` | 90 | 0.00261% |
|
| | `global_voices` | `mieszkańców` | 463 | 0.01341% |
|
| | `global_voices` | `Dz.U.` | 1 | 0.00003% |
|
| | `govpl` | `w roku` | 3,228 | 0.00473% |
|
| | `govpl` | `klasyfikacji` | 514 | 0.00075% |
|
| | `govpl` | `ustawa` | 4,562 | 0.00668% |
|
| | `govpl` | `artykuł` | 1,659 | 0.00243% |
|
| | `govpl` | `parlament` | 3,611 | 0.00529% |
|
| | `govpl` | `rozporządzenie` | 4,024 | 0.00589% |
|
| | `govpl` | `w pobliżu` | 649 | 0.00095% |
|
| | `govpl` | `mieszkańców` | 12,715 | 0.01862% |
|
| | `govpl` | `Dz.U.` | 2,921 | 0.00428% |
|
| | `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% |
|
| | `nonsa` | `w roku` | 522 | 0.00338% |
|
| | `nonsa` | `klasyfikacji` | 100 | 0.00065% |
|
| | `nonsa` | `ustawa` | 70 | 0.00045% |
|
| | `nonsa` | `artykuł` | 3,009 | 0.01949% |
|
| | `nonsa` | `parlament` | 307 | 0.00199% |
|
| | `nonsa` | `rozporządzenie` | 14 | 0.00009% |
|
| | `nonsa` | `w pobliżu` | 316 | 0.00205% |
|
| | `nonsa` | `mieszkańców` | 1,167 | 0.00756% |
|
| | `nonsa` | `Dz.U.` | 0 | 0.00000% |
|
| | `open_agh_chemistry_pl` | `w roku` | 6 | 0.00106% |
|
| | `open_agh_chemistry_pl` | `klasyfikacji` | 9 | 0.00160% |
|
| | `open_agh_chemistry_pl` | `ustawa` | 0 | 0.00000% |
|
| | `open_agh_chemistry_pl` | `artykuł` | 3 | 0.00053% |
|
| | `open_agh_chemistry_pl` | `parlament` | 0 | 0.00000% |
|
| | `open_agh_chemistry_pl` | `rozporządzenie` | 0 | 0.00000% |
|
| | `open_agh_chemistry_pl` | `w pobliżu` | 17 | 0.00301% |
|
| | `open_agh_chemistry_pl` | `mieszkańców` | 0 | 0.00000% |
|
| | `open_agh_chemistry_pl` | `Dz.U.` | 0 | 0.00000% |
|
| | `open_icm_pl` | `w roku` | 19 | 0.00430% |
|
| | `open_icm_pl` | `klasyfikacji` | 9 | 0.00204% |
|
| | `open_icm_pl` | `ustawa` | 30 | 0.00680% |
|
| | `open_icm_pl` | `artykuł` | 121 | 0.02741% |
|
| | `open_icm_pl` | `parlament` | 34 | 0.00770% |
|
| | `open_icm_pl` | `rozporządzenie` | 4 | 0.00091% |
|
| | `open_icm_pl` | `w pobliżu` | 0 | 0.00000% |
|
| | `open_icm_pl` | `mieszkańców` | 27 | 0.00612% |
|
| | `open_icm_pl` | `Dz.U.` | 14 | 0.00317% |
|
| | `parliamentary` | `w roku` | 174,916 | 0.01163% |
|
| | `parliamentary` | `klasyfikacji` | 10,872 | 0.00072% |
|
| | `parliamentary` | `ustawa` | 444,839 | 0.02957% |
|
| | `parliamentary` | `artykuł` | 176,400 | 0.01173% |
|
| | `parliamentary` | `parlament` | 297,729 | 0.01979% |
|
| | `parliamentary` | `rozporządzenie` | 104,305 | 0.00693% |
|
| | `parliamentary` | `w pobliżu` | 4,584 | 0.00030% |
|
| | `parliamentary` | `mieszkańców` | 73,641 | 0.00490% |
|
| | `parliamentary` | `Dz.U.` | 23,615 | 0.00157% |
|
| | `plwiki_talk` | `w roku` | 2,632 | 0.00474% |
|
| | `plwiki_talk` | `klasyfikacji` | 630 | 0.00113% |
|
| | `plwiki_talk` | `ustawa` | 1,365 | 0.00246% |
|
| | `plwiki_talk` | `artykuł` | 75,408 | 0.13571% |
|
| | `plwiki_talk` | `parlament` | 1,241 | 0.00223% |
|
| | `plwiki_talk` | `rozporządzenie` | 464 | 0.00084% |
|
| | `plwiki_talk` | `w pobliżu` | 421 | 0.00076% |
|
| | `plwiki_talk` | `mieszkańców` | 2,297 | 0.00413% |
|
| | `plwiki_talk` | `Dz.U.` | 289 | 0.00052% |
|
| | `plwiki_user_talk` | `w roku` | 2,439 | 0.00064% |
|
| | `plwiki_user_talk` | `klasyfikacji` | 1,213 | 0.00032% |
|
| | `plwiki_user_talk` | `ustawa` | 1,379 | 0.00036% |
|
| | `plwiki_user_talk` | `artykuł` | 1,211,479 | 0.31796% |
|
| | `plwiki_user_talk` | `parlament` | 2,043 | 0.00054% |
|
| | `plwiki_user_talk` | `rozporządzenie` | 618 | 0.00016% |
|
| | `plwiki_user_talk` | `w pobliżu` | 568 | 0.00015% |
|
| | `plwiki_user_talk` | `mieszkańców` | 2,755 | 0.00072% |
|
| | `plwiki_user_talk` | `Dz.U.` | 234 | 0.00006% |
|
| | `rock_pollub_pl` | `w roku` | 22 | 0.00187% |
|
| | `rock_pollub_pl` | `klasyfikacji` | 150 | 0.01273% |
|
| | `rock_pollub_pl` | `ustawa` | 21 | 0.00178% |
|
| | `rock_pollub_pl` | `artykuł` | 173 | 0.01469% |
|
| | `rock_pollub_pl` | `parlament` | 25 | 0.00212% |
|
| | `rock_pollub_pl` | `rozporządzenie` | 19 | 0.00161% |
|
| | `rock_pollub_pl` | `w pobliżu` | 4 | 0.00034% |
|
| | `rock_pollub_pl` | `mieszkańców` | 3 | 0.00025% |
|
| | `rock_pollub_pl` | `Dz.U.` | 12 | 0.00102% |
|
| | `sejm_api` | `w roku` | 2,002 | 0.00653% |
|
| | `sejm_api` | `klasyfikacji` | 125 | 0.00041% |
|
| | `sejm_api` | `ustawa` | 10,937 | 0.03570% |
|
| | `sejm_api` | `artykuł` | 749 | 0.00244% |
|
| | `sejm_api` | `parlament` | 14,159 | 0.04621% |
|
| | `sejm_api` | `rozporządzenie` | 1,088 | 0.00355% |
|
| | `sejm_api` | `w pobliżu` | 85 | 0.00028% |
|
| | `sejm_api` | `mieszkańców` | 2,689 | 0.00878% |
|
| | `sejm_api` | `Dz.U.` | 4 | 0.00001% |
|
| | `sejm_api_2011_2022` | `w roku` | 2,592 | 0.00965% |
|
| | `sejm_api_2011_2022` | `klasyfikacji` | 50 | 0.00019% |
|
| | `sejm_api_2011_2022` | `ustawa` | 8,934 | 0.03325% |
|
| | `sejm_api_2011_2022` | `artykuł` | 1,079 | 0.00402% |
|
| | `sejm_api_2011_2022` | `parlament` | 11,246 | 0.04186% |
|
| | `sejm_api_2011_2022` | `rozporządzenie` | 689 | 0.00256% |
|
| | `sejm_api_2011_2022` | `w pobliżu` | 71 | 0.00026% |
|
| | `sejm_api_2011_2022` | `mieszkańców` | 2,109 | 0.00785% |
|
| | `sejm_api_2011_2022` | `Dz.U.` | 4 | 0.00001% |
|
| | `sejm_committee_transcripts` | `w roku` | 6,980 | 0.00623% |
|
| | `sejm_committee_transcripts` | `klasyfikacji` | 282 | 0.00025% |
|
| | `sejm_committee_transcripts` | `ustawa` | 19,420 | 0.01734% |
|
| | `sejm_committee_transcripts` | `artykuł` | 13,837 | 0.01235% |
|
| | `sejm_committee_transcripts` | `parlament` | 18,245 | 0.01629% |
|
| | `sejm_committee_transcripts` | `rozporządzenie` | 5,255 | 0.00469% |
|
| | `sejm_committee_transcripts` | `w pobliżu` | 146 | 0.00013% |
|
| | `sejm_committee_transcripts` | `mieszkańców` | 4,129 | 0.00369% |
|
| | `sejm_committee_transcripts` | `Dz.U.` | 73 | 0.00007% |
|
| | `studia_bas` | `w roku` | 87 | 0.00386% |
|
| | `studia_bas` | `klasyfikacji` | 85 | 0.00377% |
|
| | `studia_bas` | `ustawa` | 312 | 0.01383% |
|
| | `studia_bas` | `artykuł` | 272 | 0.01206% |
|
| | `studia_bas` | `parlament` | 154 | 0.00683% |
|
| | `studia_bas` | `rozporządzenie` | 180 | 0.00798% |
|
| | `studia_bas` | `w pobliżu` | 8 | 0.00035% |
|
| | `studia_bas` | `mieszkańców` | 359 | 0.01591% |
|
| | `studia_bas` | `Dz.U.` | 476 | 0.02110% |
|
| | `ted_pl` | `w roku` | 3,586 | 0.00906% |
|
| | `ted_pl` | `klasyfikacji` | 311 | 0.00079% |
|
| | `ted_pl` | `ustawa` | 2,236 | 0.00565% |
|
| | `ted_pl` | `artykuł` | 1,342 | 0.00339% |
|
| | `ted_pl` | `parlament` | 691 | 0.00175% |
|
| | `ted_pl` | `rozporządzenie` | 4,275 | 0.01080% |
|
| | `ted_pl` | `w pobliżu` | 18 | 0.00005% |
|
| | `ted_pl` | `mieszkańców` | 487 | 0.00123% |
|
| | `ted_pl` | `Dz.U.` | 4,202 | 0.01062% |
|
| | `wiadomosci_statystyczne_pl` | `w roku` | 52 | 0.00345% |
|
| | `wiadomosci_statystyczne_pl` | `klasyfikacji` | 122 | 0.00810% |
|
| | `wiadomosci_statystyczne_pl` | `ustawa` | 38 | 0.00252% |
|
| | `wiadomosci_statystyczne_pl` | `artykuł` | 322 | 0.02138% |
|
| | `wiadomosci_statystyczne_pl` | `parlament` | 29 | 0.00193% |
|
| | `wiadomosci_statystyczne_pl` | `rozporządzenie` | 54 | 0.00359% |
|
| | `wiadomosci_statystyczne_pl` | `w pobliżu` | 2 | 0.00013% |
|
| | `wiadomosci_statystyczne_pl` | `mieszkańców` | 227 | 0.01507% |
|
| | `wiadomosci_statystyczne_pl` | `Dz.U.` | 46 | 0.00305% |
|
| | `wikibooks` | `w roku` | 311 | 0.00204% |
|
| | `wikibooks` | `klasyfikacji` | 37 | 0.00024% |
|
| | `wikibooks` | `ustawa` | 164 | 0.00108% |
|
| | `wikibooks` | `artykuł` | 721 | 0.00474% |
|
| | `wikibooks` | `parlament` | 281 | 0.00185% |
|
| | `wikibooks` | `rozporządzenie` | 131 | 0.00086% |
|
| | `wikibooks` | `w pobliżu` | 122 | 0.00080% |
|
| | `wikibooks` | `mieszkańców` | 199 | 0.00131% |
|
| | `wikibooks` | `Dz.U.` | 16 | 0.00011% |
|
| | `wikinews` | `w roku` | 449 | 0.00409% |
|
| | `wikinews` | `klasyfikacji` | 638 | 0.00582% |
|
| | `wikinews` | `ustawa` | 389 | 0.00355% |
|
| | `wikinews` | `artykuł` | 2,462 | 0.02245% |
|
| | `wikinews` | `parlament` | 2,064 | 0.01882% |
|
| | `wikinews` | `rozporządzenie` | 168 | 0.00153% |
|
| | `wikinews` | `w pobliżu` | 455 | 0.00415% |
|
| | `wikinews` | `mieszkańców` | 1,011 | 0.00922% |
|
| | `wikinews` | `Dz.U.` | 27 | 0.00025% |
|
| | `wikipedia` | `w roku` | 157,059 | 0.01280% |
|
| | `wikipedia` | `klasyfikacji` | 79,082 | 0.00645% |
|
| | `wikipedia` | `ustawa` | 15,755 | 0.00128% |
|
| | `wikipedia` | `artykuł` | 43,982 | 0.00358% |
|
| | `wikipedia` | `parlament` | 80,390 | 0.00655% |
|
| | `wikipedia` | `rozporządzenie` | 9,008 | 0.00073% |
|
| | `wikipedia` | `w pobliżu` | 55,953 | 0.00456% |
|
| | `wikipedia` | `mieszkańców` | 179,796 | 0.01465% |
|
| | `wikipedia` | `Dz.U.` | 515 | 0.00004% |
|
| | `wikivoyage` | `w roku` | 460 | 0.00327% |
|
| | `wikivoyage` | `klasyfikacji` | 15 | 0.00011% |
|
| | `wikivoyage` | `ustawa` | 29 | 0.00021% |
|
| | `wikivoyage` | `artykuł` | 616 | 0.00437% |
|
| | `wikivoyage` | `parlament` | 154 | 0.00109% |
|
| | `wikivoyage` | `rozporządzenie` | 31 | 0.00022% |
|
| | `wikivoyage` | `w pobliżu` | 5,865 | 0.04164% |
|
| | `wikivoyage` | `mieszkańców` | 2,883 | 0.02047% |
|
| | `wikivoyage` | `Dz.U.` | 0 | 0.00000% |
|
| | `wiktionary_examples` | `w roku` | 7 | 0.00338% |
|
| | `wiktionary_examples` | `klasyfikacji` | 1 | 0.00048% |
|
| | `wiktionary_examples` | `ustawa` | 3 | 0.00145% |
|
| | `wiktionary_examples` | `artykuł` | 12 | 0.00579% |
|
| | `wiktionary_examples` | `parlament` | 1 | 0.00048% |
|
| | `wiktionary_examples` | `rozporządzenie` | 1 | 0.00048% |
|
| | `wiktionary_examples` | `w pobliżu` | 6 | 0.00290% |
|
| | `wiktionary_examples` | `mieszkańców` | 4 | 0.00193% |
|
| | `wiktionary_examples` | `Dz.U.` | 0 | 0.00000% |
|
| | `wolne_lektury` | `w roku` | 1,921 | 0.00209% |
|
| | `wolne_lektury` | `klasyfikacji` | 79 | 0.00009% |
|
| | `wolne_lektury` | `ustawa` | 1,016 | 0.00111% |
|
| | `wolne_lektury` | `artykuł` | 1,835 | 0.00200% |
|
| | `wolne_lektury` | `parlament` | 676 | 0.00074% |
|
| | `wolne_lektury` | `rozporządzenie` | 117 | 0.00013% |
|
| | `wolne_lektury` | `w pobliżu` | 1,931 | 0.00211% |
|
| | `wolne_lektury` | `mieszkańców` | 1,573 | 0.00172% |
|
| | `wolne_lektury` | `Dz.U.` | 5 | 0.00001% |
|
|
|
| 
|
|
|
| 
|
| 
|
| 
|
| 
|
| 
|
| 
|
| 
|
| 
|
| 
|
|
|
