Intended Use Cases
automatic-speech-recognition
Open — attribution required; commercial use allowed.
Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.
This is the same multilingual corpus, sliced for other languages the platform indexes it under.
automatic-speech-recognition model · shemang
automatic-speech-recognition model · shemang
automatic-speech-recognition model · shemang
XLM-RoBERTa fine-tuned on Nigerian Pidgin (pcm) corpus. Outperforms multilingual XLM-R on NER tasks for Nigerian Pidgin.
mBERT fine-tuned on Nigerian Pidgin (pcm). Better NER performance than multilingual baseline.
Multilingual sentiment model fine-tuned on NaijaSenti for Nigerian Pidgin and 3 other Nigerian languages. SOTA on NaijaSenti benchmark at time of publication.