pidginData / README.md
voicedata's picture
Upload README.md with huggingface_hub
da540eb verified
|
Raw History Blame Contribute Delete
4.02 kB
---
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)*
---
## πŸ“Œ 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**
---
## πŸ› οΈ 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/
---
## πŸ“œ 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** β€” copy and redistribute the material in any medium or format.
- **Adapt** β€” remix, transform, and build upon the material for any purpose,
even commercially.
Under the following terms:
- **Attribution** β€” give appropriate credit to UD_Naija-NSC and the NAC Team.
- **ShareAlike** β€” distribute your contributions under the same license as
the original.
---
## πŸ‘₯ 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)
---
## πŸ™ 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 β€” this release
extends it with per-sample unique IDs, speaker attribution, clip timing,
and source provenance fields.
---
Pushed to: `voicedata/pidginData`