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afridatahub/AfriDataHub-Yoruba

Domain:

natural language processing

Record type:

dataset
Creator:
afr
Host:
AfriDataHub's repository for developing datasets and NLP resources for Yoruba language. This repository supports the creation of parallel corpora and general language corpora, empowering AI applications that are inclusive and culturally relevant to Yoruba language speakers. # AfriDataHub - Yoruba Language Dataset Repository Welcome to the AfriDataHub Yoruba repository! This repository is dedicated to building high-quality language datasets and natural language processing (NLP) tools for the Yoruba 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 Yoruba. ## 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 Yoruba 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 Yoruba, 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 Yoruba, 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 on Yoruba grammar, syntax, and vocabulary. For guidelines on contributing, please refer to our Contribution Guide. ## License This repository is licensed under the Creative Commons Attribution 4.0 International License, allowing free use, distribution, and a …

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