Datasets:

voicedata
/

pidginData

language:
  - pcm
license: cc-by-sa-4.0
task_categories:
  - automatic-speech-recognition
tags:
  - audio
  - speech
  - naija
  - pidgin
dataset_info:
  features:
    - name: id
      dtype: string
    - name: speaker
      dtype: string
    - name: transcription
      dtype: string
    - name: audio
      dtype: audio
    - name: clip_start_ms
      dtype: int64
    - name: clip_end_ms
      dtype: int64
    - name: source_sent_id
      dtype: string
    - name: source_url
      dtype: string
size_categories:
  - 1K<n<10K

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 with a unique id and the original speaker code.

🧩 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

🛠️ 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/

📜 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.

👥 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)

🙏 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.

Pushed to: voicedata/pidginData