voicedata/pidginData

Naija-ASR-Corpus v2.0 (NAC-v2.0)

A Foundational Automatic Speech Recognition Corpus for Nigerian Pidgin (Naija, PCM)

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📌 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:

1. Segmenting the audio into sentence-level clips.
2. Aligning each clip to its transcript (text_ortho) from the CoNLL-U source.
3. Tagging each sample with a unique id and the original speaker code.

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🧩 Schema

Column	Type	Description
id	string	Unique identifier for this sample (UUID4)
speaker	string	Speaker code from the source corpus (speaker_id in UD_Naija-NSC)
transcription	string	ASR transcript text
audio	audio	The audio clip, 16kHz mono
clip_start_ms	int64	Clip start offset (ms) in the original long-form recording
clip_end_ms	int64	Clip end offset (ms) in the original long-form recording
source_sent_id	string	Sentence id from the UD_Naija-NSC source
source_url	string	URL of the original long-form recording

Rows: 5883

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🛠️ Data Source & Attribution

This dataset is derived from the Universal Dependencies Naija Spoken Corpus (UD_Naija-NSC). The original continuous recordings were split into sentence-level clips and matched with their transcripts to build ASR-ready audio/text pairs.

This dataset contains content derived from UD_Naija-NSC (Universal Dependencies Naija Spoken Corpus), licensed under CC-BY-SA 4.0.

• Original Authors: UD_Naija-NSC contributors.
• Original License: https://creativecommons.org/licenses/by-sa/4.0/

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📜 Licensing

Since this dataset is a derivative work of UD_Naija-NSC (CC-BY-SA 4.0), it is released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

You are free to:

• Share — copy and redistribute the material in any medium or format.
• Adapt — remix, transform, and build upon the material for any purpose, even commercially.

Under the following terms:

• Attribution — give appropriate credit to UD_Naija-NSC and the NAC Team.
• ShareAlike — distribute your contributions under the same license as the original.

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👥 Contributors

NAC Team (Dataset Curation & Processing)

• Team Lead: Augustine, Silver, Timmy
• Contributors: Bryan, Ekene, Emmanuella, Shamsa

Original Data Creators

• UD_Naija-NSC Team (Universal Dependencies)

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🙏 Acknowledgements

This dataset builds on the same UD_Naija-NSC segmentation-and-alignment pipeline used to produce timniel/Pidgin_ASR_Dataset_Combined. Credit and thanks go to timniel and the NAC Team for that earlier combined dataset and the processing approach it established — this release extends it with per-sample unique IDs, speaker attribution, clip timing, and source provenance fields.

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Pushed to: voicedata/pidginData