| # nkjp1m |
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| The manually annotated 1-million word subcorpus of the National Corpus of Polish |
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| ## Dataset description |
| - **Source (upstream):** https://clip.ipipan.waw.pl/NationalCorpusOfPolish |
| - **Domain:** mixed (balanced reference corpus) |
| - **Language:** Polish (pl) |
| - **License:** `CC-BY` |
| - **Created (range):** 1957-2008 (recorded for 6,581 of 18,381 documents; per-document in the created column) |
| - **Added:** 2026-06-15 |
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| ## Licensing — traceable basis |
| The NKJP download page (clip.ipipan.waw.pl) states the manually annotated 1-million-word subcorpus (Podkorpus Milionowy NKJP 1.2) is available under a CC-BY licence; attribution to the NKJP Consortium (IPI PAN) preserved. The page states 'CC-BY' with no version, normalized to CC-BY-4.0 for SPDX. The CC-BY licence covers the corpus text; NKJP's separate tools are GPL and are not included here. |
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| ## Provenance |
| Downloaded the IPI PAN tarball (NKJP-PodkorpusMilionowy-1.2.tar.gz) directly by src/fetch_njkp.py, one row per TEI <div> passage (its <ab> paragraphs joined by newlines, ellipsis markers stripped). The same minimal gates as build_dynaword.py are applied per passage (drop < 200 chars, drop non-Polish by diacritic ratio, exact sha1 dedup; the OCR gate is inapplicable). Per-document 'created' is the sample's TEI publication date (<date type="published">) where the header records one. Normalized into the DynaWord schema; cl100k token counts via tiktoken (encode_ordinary), and the stats are recomputed from the written parquet. |
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| ## Statistics |
| | documents | characters | tokens (tiktoken proxy) | |
| | --------: | ---------: | ----------------------: | |
| | 18,381 | 6,824,905 | 2,601,201 | |
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| ## Per-document license metadata |
| | license | documents | |
| | ------- | --------: | |
| | `CC-BY` | 18,381 | |
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| Author metadata present for **18,381** documents. Empty values mean the upstream record did not expose a machine-readable author field. |
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| Statistics were recomputed directly from the released parquet file. |
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| ## Filters applied (build_dynaword.py) |
| Minimal, per Dynaword guidelines (heavy filtering left to downstream use): |
| - drop documents < 200 chars: **92** |
| - drop non-Polish (diacritic ratio): **2** |
| - exact cross-source dedup (sha1): **9** |
| - OCR alpha-ratio < 0.70 (OCR sources only): **0** |
| - read 18,484 → kept 18,381 |
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| Token counts are a fast tiktoken (cl100k) proxy. |
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