Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Nigerian Pidgin
Size:
1K - 10K
License:
File size: 4,023 Bytes
5fba943 da540eb 5fba943 da540eb 5fba943 da540eb 5fba943 da540eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | ---
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:
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.
---
## 🧩 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`](https://huggingface.co/datasets/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`
|