datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.pidginData
Naija-ASR-Corpus v2.0 (NAC-v2.0)
A Foundational Automatic Speech Recognition Corpus for Nigerian Pidgin (Naija, PCM)
📌 Dataset Summary
Naija-ASR-Corpus (NAC-v2.0) 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.
Aligning each clip to its transcript (text_ortho) from the CoNLL-U source.
Tagging each sample… See the full description on the dataset page: https://huggingface.co/datasets/voicedata/pidginData.dexterity-pidgin-voice-dataset-sample-v2Dexterity Pidgin Voice Dataset — Sample v2
Creator: Dexterity Learn.
Dataset Description
49 human-created Nigerian Pidgin English (Naija) utterances with aligned home studio audio, covering 8 domains: faith, wisdom, money, business, relationships, community, social commentary, and everyday conversation. Three utterances (U20–U22) address consent and anti-harassment themes, included for social good NLP use.
What sets this dataset apart is its dual-translation structure — every utterance… See the full description on the dataset page: https://huggingface.co/datasets/DexterityLearn/dexterity-pidgin-voice-dataset-sample-v2.