Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Text
Formats:
json
Languages:
Kamba (Kenya)
Size:
< 1K
License:
Datasets
Status: not yet written. Roadmap item v0.1 ("Ingest candidate datasets" / "Establish provenance records").
This document will hold, for each candidate source corpus (DDD-Kenya Kamba-ASR-Data-Subset-484H,
Thiomi, Google FLEURS kam_ke, Meta Omnilingual ASR):
- exact license and any redistribution restrictions,
- full provenance (who collected it, how, and when),
- speaker composition (count, gender/age distribution where available),
- recording conditions (studio, field, phone-recorded, etc.),
- transcription methodology (read-aloud, translate-then-record, natural-speech-then-transcribe),
- domain/theme coverage, from
domain_audit.py's output, - dialect coverage, and
- relationship to the other candidate sources, from
dedup_check.py's output.
See the root README.md's "Candidate source corpora" table for the current high-level summary
pending this document.