Datasets:
File size: 1,604 Bytes
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language:
- en
- pcm
license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
pretty_name: PidginMed-ASR
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: audio
dtype: string
- name: transcription
dtype: string
- name: english_translation
dtype: string
- name: speaker_id
dtype: string
- name: duration
dtype: float64
- name: split
dtype: string
splits:
- name: train
num_bytes: 2041179
num_examples: 2982
- name: validation
num_bytes: 788013
num_examples: 994
- name: test
num_bytes: 1199738
num_examples: 1494
download_size: 2148333
dataset_size: 4028930
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# PidginMed-ASR
PidginMed-ASR is a Nigerian Pidgin English medical speech benchmark for automatic speech recognition.
## Dataset Structure
The dataset contains audio recordings paired with Nigerian Pidgin transcriptions and English source translations.
| Column | Description |
|---|---|
| audio | Path to audio file |
| transcription | Nigerian Pidgin transcript |
| english_translation | Original English text |
| speaker_id | Anonymized speaker ID |
| duration | Audio duration |
| split | Train, validation, or test split |
## Splits
The dataset uses a speaker-independent split.
- Train: Speaker_2, Speaker_4, Speaker_5, Speaker_7, Speaker_9, Speaker_11
- Validation: Speaker_3, Speaker_8
- Test: Speaker_1, Speaker_6, Speaker_10
## License
CC BY-NC 4.0 |