# Lingala ASR Dataset
An open-source Automatic Speech Recognition (ASR) dataset for Lingala, a Bantu language spoken by over 10 million people in the Democratic Republic of Congo and Republic of Congo.
## 📊 Dataset Overview
- **Language**: Lingala (Kinshasa dialect)
- **Total Recordings**: 870+ audio clips
- **Audio Format**: WAV, 16kHz, mono
- **Duration**: ~5 seconds per clip
- **Total Duration**: ~72 minutes
- **Dialect**: Kinshasa variant (using "naza" instead of "nazali", "eza" instead of "ezali")
## 🎯 Purpose
This dataset was created to train speech recognition models for Lingala, an underrepresented language in NLP and ASR research. The goal is to enable:
- Automatic transcription of Lingala speech
- Translation of Lingala audio to other languages
- Captioning for Lingala YouTube videos and media content
- Accessibility tools for Lingala speakers
## 📁 Dataset Structure
```
lingala-asr/
├── data/
│ ├── audio/
│ │ ├── clip0001.wav
│ │ ├── clip0002.wav
│ │ └── ...
│ └── transcriptions.txt
└── README.md
```
### Transcriptions Format
The `transcriptions.txt` file contains one entry per line in the format:
```
filename.wav|Lingala transcription text
```
Example:
```
clip0001.wav|Mbote
clip0002.wav|Naza malamu
clip0003.wav|Sango nini?
```
## 🗣️ Content Categories
The dataset includes diverse phrases across multiple domains:
- **Greetings & Introductions**: Basic conversational phrases
- **Daily Activities**: Common actions and routines
- **Food & Drink**: Kitchen, cooking, and dining
- **Family & Relationships**: Family members and social connections
- **Locations & Directions**: Navigation and places
- **Time & Dates**: Temporal expressions
- **Emotions & Feelings**: Expressing sentiments
- **Health & Medical**: Medical terminology and health-related phrases
- **Shopping & Market**: Commercial transactions
- **Technology**: Modern tech vocabulary
- **Transportation**: Vehicles and travel
- **Work & Business**: Professional contexts
- * …