busola-sho/multilingual-climate-messaging-dataset

A multilingual Climate Messaging Dataset for Low-Resource Nigerian Languages which I co-created. Accepted for presentation at Deep Learning Indaba 2025. # Multilingual Climate Messaging Dataset (English, Hausa, Yoruba, Igbo) ## Description This dataset is a multilingual parallel corpus of 715 climate-related public messages in English, Hausa, Yoruba, and Igbo. It was created to support inclusive climate communication and low-resource NLP research for African languages. The English messages were generated using AI-assisted, template-based prompts reflecting real-world scenarios such as flooding, heatwaves, and air pollution. Native speakers then translated each message into Hausa, Yoruba, and Igbo, ensuring cultural and linguistic accuracy. These translations were also reviewed by external language professionals for quality assurance. This dataset was developed as a project by the Computational Linguistics and Language fellows of the 2025 Lune Two AI.Humanities.Social Sciences Research Fellowship for graduate students in Nigeria, organised by Research Round. Link to GitHub repo with code: github.com ## Poster for Indaba ## Key Information **Languages:** English, Hausa, Yoruba, Igbo **Total Entries:** 715 **Format:** CSV **Domains Covered:** Floods, Heatwaves, Waste Disposal, Air Pollution, General Climate Awareness **Intended Use:** NLP research (translation, clustering, multilingual embeddings), climate communication, dataset augmentation **Data Collection:** No scraping or personal data involved. All messages are fictional or generalised public communication types. **Ethical Notes:** The dataset does not contain personally identifiable information. No data was scraped or collected from private sources. Translations were done with a high consideration for linguistic and cultural sensitivity. **License:** CC BY 4.0 (Creative Commons Attribution 4.0 International) **Country of Origin:** Nigeria **Authors:** Olubusolami Sogunle, Habib Sani Yahaya, Chukwuma Oluebube Peace **Affiliation:** Research Round ## Motivation T …