Datasets:
feat(data): add wiktionary_examples (8.6k docs / 1.12M tok)
New source: wiktionary_examples — usage examples from Polish Wiktionary
Adds a new source: sentences illustrating word senses in Polish-language
entries of pl.wiktionary.org.
8,639 documents / 1,115,820 tokens / 2,889,761 characters. CC-BY-SA-3.0.
Modest in volume, but it supplies a register the corpus needs: contemporary,
hand-written Polish sentences with a clear licence and a public edit history.
What is included
One document per headword; all examples for that headword are concatenated,
newline-separated, in source order. Definitions, inflection tables,
etymologies, translations and non-Polish entries are excluded.
| stage | documents |
|---|---|
| Polish entries in the dump | 115,359 |
| entries with at least one example | 51,578 |
| after the 200-character threshold | 9,120 |
| after exact-duplicate removal | 8,639 |
Reproducible via src/fetch_wiktionary_examples.py, which parses the official
Wikimedia dump directly. Re-running it reproduces exactly the same build input.
Departure from registry convention — decision requested
This is the first source not obtained through SpeakLeash's redistribution.
It is parsed directly from dumps.wikimedia.org. The per-source provenance
field, already supported by make_docs.py, handles this correctly — the
datasheet states the real origin.
The general prose in README.md, however, still attributes all underlying
material to SpeakLeash as intermediate aggregator (the docstring insources.py says the same). That is no longer strictly accurate. Not changed
in this PR — raised for a maintainer decision.
Known limitations (documented, not defects)
- Documents are bundles of unrelated sentences. Examples within a single
document illustrate different senses of the same headword and have no
discourse continuity — the document for czytać moves from reading a
newspaper, through reading a map, to reading a floppy disk. The individual
sentences are well-formed; the document as a whole is not coherent prose. - Documents are short by nature. Mean length 334 characters. 82% of
entries with examples fall below the 200-character threshold and are dropped. - Short literary quotations are embedded in the text. 3,630 entries carry
a{{źródło}}attribution template; the fetch script strips it from the text
and writes it to a separate audit file. The quotations are single sentences,
contributed under CC-BY-SA-3.0 and within quotation rights — but this source
is not entirely original composition by editors. - Cross-source dedup will not detect those quotations. The build hashes the
full document; because documents concatenate several sentences, a quotation
also present inwolne_lekturyorwikisourceproduces no hash collision. - The reported 481 refers to intra-source duplicates, not cross-source
ones. Wiktionary repeats the same example across related headwords —
aspectual pairs, spelling variants, close synonyms. The datasheet label reads
"exact cross-source dedup", which is misleading in this case. - Square brackets are preserved deliberately.
[…]marks an omission and[= gloss]an editorial insertion within a quotation — philological
convention, not leftover wiki markup. - Sense numbering has been dropped, since definitions are not part of the
source.
Files
src/fetch_wiktionary_examples.pysrc/sources.pydata/wiktionary_examples/wiktionary_examples.parquetdata/wiktionary_examples/wiktionary_examples.stats.jsondata/wiktionary_examples/wiktionary_examples.md