  We present a large, challenging dataset, COUGH, for COVID-19 FAQ retrieval.
Similar to a standard FAQ dataset, COUGH consists of three parts: FAQ Bank,
Query Bank and Relevance Set. The FAQ Bank contains ~16K FAQ items scraped from
55 credible websites (e.g., CDC and WHO). For evaluation, we introduce Query
Bank and Relevance Set, where the former contains 1,236 human-paraphrased
queries while the latter contains ~32 human-annotated FAQ items for each query.
We analyze COUGH by testing different FAQ retrieval models built on top of BM25
and BERT, among which the best model achieves 48.8 under P@5, indicating a
great challenge presented by COUGH and encouraging future research for further
improvement. Our COUGH dataset is available at
https://github.com/sunlab-osu/covid-faq.
