COVID-QA and COVID-Q

COVID-QA
50
Established
COVID-Q
34
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 20/25
Stars: 360
Forks: 117
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 24
Forks: 23
Downloads:
Commits (30d): 0
Language: Python
License:
Archived No Package No Dependents
No License Stale 6m No Package No Dependents

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 A React frontend enabled users to query answers while providing feedback mechanisms to flag outdated information and surface gaps in coverage.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.

public-health question-analysis information-categorization pandemic-communication topic-modeling

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