Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Nigerian Pidgin
Size:
1K - 10K
License:
File size: 3,763 Bytes
0ac380e cc6c301 0ac380e cc6c301 0ac380e cc6c301 a84817a cc6c301 0ac380e cc6c301 a84817a |
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 |
---
language:
- pcm
license: cc-by-sa-4.0
task_categories:
- automatic-speech-recognition
tags:
- audio
- speech
- naija
- pidgin
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
size_categories:
- 1K<n<10K
---
# **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:
1. **Segmenting** the audio into sentence-level clips.
2. **Transcribing/Aligning** the text to create paired audio-text data suitable for ASR training.
This dataset is designed to support the development of Automatic Speech Recognition (ASR) systems for **Nigerian Pidgin (Naija, ISO 639-3: PCM)**.
---
## 🎯 **Use Cases**
* Automatic speech recognition (ASR)
* Speech-to-text research
* Linguistic analysis of segmented Naija speech
---
## 🌍 **Language**
* **Language:** Nigerian Pidgin (Naija)
* **ISO 639-3 Code:** **PCM**
---
## 🧩 **Dataset Composition**
| Component | Description |
| ---------------------- | ----------------------------------------------------- |
| **Total Utterances** | 5,883 processed speech clips |
| **Audio Format** | `.wav` files, mono, 16kHz |
| **Transcripts** | UTF-8 text |
---
## 💻 **Code & Reproduction**
The scripts used to download, slice, process, and upload this dataset are open source available on GitHub:
1. **Data Preparation (Slicing & Filtering):**
* [https://github.com/Timniel/naija-pidgin-asr-prep](https://github.com/Timniel/naija-pidgin-asr-prep)
2. **Hugging Face Uploader Pipeline:**
* [https://github.com/Timniel/naija-asr-hf-uploader](https://github.com/Timniel/naija-asr-hf-uploader)
---
## 🛠️ **Data Source & Attribution**
**Source Material:**
This dataset is entirely derived from the **Universal Dependencies Naija Spoken Corpus (UD_Naija-NSC)**.
**modifications by NAC Team:**
The original continuous recordings were split into shorter clips (`pidgin_0001.wav` to `pidgin_5883.wav`) and matched with specific transcripts to facilitate machine learning tasks.
**Required Attribution:**
> 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/](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), this dataset 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** — You must give appropriate credit to **UD_Naija-NSC** and the **NAC Team**.
* **ShareAlike** — If you remix, transform, or build upon the material, you must 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) |