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 `provenance` and `provenance_verified` values that downstream `eval_unscripted.jsonl` | |
| entries should carry, per SCHEMA.md. | |