Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Text
Formats:
json
Languages:
Kamba (Kenya)
Size:
< 1K
License:
Cross-corpus provenance and leakage audit
Status: not yet written — awaiting a real run of dedup_check.py and domain_audit.py
against the candidate source corpora (needs an environment with real network access to
huggingface.co; see those scripts' docstrings).
This document will hold, once that audit runs:
- the full cross-corpus collision report (text-hash, filename, and targeted audio-hash
collisions between DDD-Kenya, Thiomi, FLEURS
kam_ke, and Omnilingual), - for every collision found, the resolution (confirmed duplicate / independently-recorded same sentence / false positive) and which clips were excluded as a result,
- the domain/theme/dialect/speaker distribution audit results for each source corpus, and
- per-clip
provenanceandprovenance_verifiedvalues that downstreameval_unscripted.jsonlentries should carry, per SCHEMA.md.