COVID-QA and COVID-Q
About COVID-QA
deepset-ai/COVID-QA
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
Introduces COVID-QA, a curated SQuAD-style question-answering dataset with expert annotations from COVID research papers, paired with a RoBERTa-based extractive QA model fine-tuned on this domain. The system combines Elasticsearch-backed FAQ matching with extractive question answering via Haystack, sourcing trustworthy content from WHO/CDC and other official sources. A React frontend enabled users to query answers while providing feedback mechanisms to flag outdated information and surface gaps in coverage.
About COVID-Q
JerryWeiAI/COVID-Q
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
This project provides a comprehensive dataset of 1,690 real-world questions about COVID-19. Each question is labeled with both a broad category (like "Transmission" or "Prevention") and a more specific class, grouping similar questions together. Researchers, public health organizations, or content strategists can use this to understand common public concerns and structure information effectively.
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