data/common_voice_pl/common_voice_pl.md

Common Voice Polish text v26.0

Text-only projection of Polish sentences associated with validated recordings in Mozilla Common Voice Scripted Speech 26.0.

Source and scope

• Official upstream: https://mozilladatacollective.com/datasets/cmqinmu2a00winq07gyrtri0q
• Upstream dataset ID: cmqinmu2a00winq07gyrtri0q
• Upstream release: 26.0 (2026-06-12)
• Pinned access mirror: Peacockery/common-voice-scripted-speech-26@b4d8b94d43831475de59a455345acf6945cfd66e
• Selected split: validated
• Language: Polish (pl)
• License: CC0-1.0
• Records: 45,043
• Tokens: 994,922 (cl100k_base proxy)

Audio, client_id, age, gender, accent, file paths and other direct contributor metadata are not selected. Repeated recordings of the same normalized sentence are represented once; aggregate clip count and duration are retained only in the attribution sidecar.

Processing

1. Read only selected metadata columns from the pinned Parquet with DuckDB.
2. Require the expected Polish locale, upstream dataset ID and CC0 license.
3. Normalize Unicode and whitespace.
4. Exclude malformed text and simple URL, email, telephone and PESEL-like matches.
5. Collapse case/punctuation-equivalent text within this source.
6. Compute deterministic IDs and cl100k_base token counts.

Unit note — document length vs the corpus gate

Every record is a single validated speech prompt (the Common Voice unit): 45,043 docs, min 12 / median 56 / mean 58.5 / max 153 characters — zero documents reach build_dynaword.py's 200-character minimum, and nothing in the pipeline concatenates sentences. The shard ships as data/<key>/<key>.parquet (like the other in-repo sources), so the SpeakLeash-flow gate does not run over it — but as corpus policy this is a unit mismatch and needs a maintainer decision before merge:

• (a) accept sentence-level units for this source via a documented per-source gate override (a small shared-build change, to be reviewed as its own PR) plus a training-mix cap — the sentences are clean contemporary Polish prompts (995k tokens, ~0.01% of the corpus) and synthetic concatenation would fabricate documents that never existed;
• (b) withdraw the source as unit-incompatible with the document-level gates.

Recommendation: (a) with the cap; (b) is equally defensible given the reviewer's lean ("single sentences may not belong here at all"). The decision is the maintainer's.

License at the origin and downstream terms

• License statement at the origin: the dataset record on the Mozilla Data Collective portal — https://mozilladatacollective.com/datasets/cmqinmu2a00winq07gyrtri0q — carries license: "Creative Commons Zero v1.0 Universal (CC0-1.0)" for the Common Voice Scripted Speech 26.0 datasets, and the same license / license_url values ride along per row in the source Parquet (the build rejects any row not labelled CC0-1.0).
• Re-identification prohibition carried to downstream users: the Mozilla Data Collective Terms of Use (https://mozilladatacollective.com/terms) forbid users to "decompile, analyze, or otherwise attempt to determine, trace, match the identity of, or re-identify the individual contributor or source of any data contained in any Dataset" (Data Consumer License, clause viii). Any redistribution of this shard must keep that restriction on its users; this projection already drops audio, client_id, age, gender, accent and file paths.

PII scrubber and residual scan

Scrubber that ran: the quality_rejection() pattern filters in src/fetch_common_voice_pl.py (malformed text; URL, e-mail, telephone-like and PESEL-like matches are rejected, not rewritten) plus Unicode/whitespace normalization. This is not SlayerLab/NERGAL; the shard must be re-run through NERGAL before it is admitted to a release. Merge with release: None is fine meanwhile.

Residual scan covers all 45,043 records (the shard is tiny): 0 e-mail-like strings, 0 digit runs (7-15), 0 PESEL mentions, 0 URLs; 12 records mention the word "telefon" in narrative prose (e.g. "w tej chwili zadzwonił telefon") — not contact data. Residual risk is low here; the NERGAL gate stands because the prompts are user-contributed speech material.

This source has not yet been cross-deduplicated against every released DynaWord source. The target integration should run the corpus-wide exact and near-duplicate protocol before a training release. Short isolated sentences should also receive a source cap in training-mix experiments.