pidgin
Datasets
All datasets matching “pidgin”final_pidgin9jalingo-reviewed-pidginnigerian-pidgin-1.0
Language:
- Nigerian Pidgin English (West African Pidgin variant)
Dataset Description
Dataset Summary
The Nigerian Pidgin ASR dataset (v1.0) is the first publicly released speech-to-text corpus for Nigerian Pidgin English, a widely spoken lingua franca across Nigeria and West Africa. This dataset comprises over 3,000 audio recordings paired with sentence-level transcriptions, recorded by native speakers across different genders and age groups. It is tailored for… See the full description on the dataset page: https://huggingface.co/datasets/asr-nigerian-pidgin/nigerian-pidgin-1.0.Pidgin_ASR_Dataset_Combined
Naija-ASR-Corpus v1.0 (NAC-v1.0)
A Foundational Automatic Speech Recognition Corpus for Nigerian Pidgin (Naija, PCM)
📌 Dataset Summary
Naija-ASR-Corpus (NAC-v1.0) is a speech dataset derived from the Universal Dependencies Naija Spoken Corpus (UD_Naija-NSC).
The NAC Team processed the original long-form recordings by:
Segmenting the audio into sentence-level clips.
Transcribing/Aligning the text to create paired audio-text data suitable for ASR training.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/timniel/Pidgin_ASR_Dataset_Combined.Pidgin_ASR_Dataset_Combined
Naija-ASR-Corpus v1.0 (NAC-v1.0)
A Foundational Automatic Speech Recognition Corpus for Nigerian Pidgin (Naija, PCM)
📌 Dataset Summary
Naija-ASR-Corpus (NAC-v1.0) is a speech dataset derived from the Universal Dependencies Naija Spoken Corpus (UD_Naija-NSC).
The NAC Team processed the original long-form recordings by:
Segmenting the audio into sentence-level clips.
Transcribing/Aligning the text to create paired audio-text data suitable for ASR training.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/AnonXx/Pidgin_ASR_Dataset_Combined.pidgin-asr-combined
Pidgin ASR Combined
A unified Nigerian Pidgin English speech-to-text dataset that combines
publicly available Pidgin ASR sources into a single train / validation /
test setup with a consistent schema. Built for fine-tuning Whisper-family
models on Nigerian Pidgin (Naija, pcm).
~8.6 hours, 4,278 clips, 10 source speakers, 16 kHz mono WAV.
Used to train michaelodafe/whisper-pidgin-v1
(21.37% WER on the test split, beating the published Wav2Vec2-XLSR-53
baseline by 8.2 pp).… See the full description on the dataset page: https://huggingface.co/datasets/michaelodafe/pidgin-asr-combined.