afridatahub/AfriDataHub-Hausa

AfriDataHub's repository for developing datasets and NLP resources for Hausa Language. This repository supports the creation of parallel corpora and general language corpora, empowering AI applications that are inclusive and culturally relevant to Hausa Language speakers. # AfriDataHub-Hausa AfriDataHub's repository for developing datasets and NLP resources for Hausa Language. This repository supports the creation of parallel corpora and general language corpora, empowering AI applications that are inclusive and culturally relevant to Hausa Language speakers. # AfriDataHub - Hausa Language Language Dataset Repository Welcome to the AfriDataHub Hausa Language repository! This repository is dedicated to building high-quality language datasets and natural language processing (NLP) tools for the Hausa language, as part of AfriDataHub’s mission to enhance digital inclusion for African languages. Our goal is to create resources that enable culturally relevant AI applications in Hausa Language. ## Project Overview The AfriDataHub initiative addresses the critical shortage of digital resources for African languages. This repository focuses on: - Building parallel corpora for machine translation between Hausa Language and English. - Developing general language corpora to support NLP tasks such as text classification, sentiment analysis, and language modeling. ## Repository Structure - `data/`: Contains raw and processed datasets in multiple formats (e.g., `.txt`, `.csv`, `.json`). - `scripts/`: Scripts for data preprocessing, annotation, and dataset preparation. - `models/`: Pre-trained NLP models for Hausa Language, such as machine translation and language models. - `docs/`: Documentation on dataset creation, licensing, and ethical considerations. - `community/`: Guidelines and resources for community contributions, including data collection and annotation guidelines. ## Getting Started To get started with using the datasets and models for Hausa Language, please refer to our Usage Guide for detailed instructions on accessing and utilizing these resources. ## Community Contributions We welcome contributions from native speakers, linguists, and developers! You can support the project by: 1. Contributing language data (e.g., text samp …