README.md

---
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