afridatahub/AfriDataHub-PidginEnglish

AfriDataHub's repository for developing datasets and NLP resources for Pidgin English. This repository supports the creation of parallel corpora and general language corpora, empowering AI applications that are inclusive and culturally relevant to speakers. # AfriDataHub - Pidgin English Language Dataset Repository Welcome to the AfriDataHub Pidgin English repository! This repository is dedicated to building high-quality language datasets and natural language processing (NLP) tools for the Pidgin English 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 Pidgin English. ## 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 Pidgin English 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 Pidgin English, 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 Pidgin English, 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 samples, translations). 2. Annotating and validating datasets. 3. Sharing knowledge of Pidgin English grammar, syntax, and vocabulary. For guidelines on contributing, please refer to our Contribution Guide. ## License This repository is licensed under the Creative Commons Attribution 4 …