| The COVID-19 Vaccine Intent Expressions dataset contains 7,990 varying expressions for common questions about COVID-19 vaccines. | |
| We collaborated with a team at Johns Hopkins University to curate a list 181 such common questions. | |
| We then showed annotators a question from the list and asked them to express it in their words, imagining they are chatting with a knowledgable friend. | |
| A subset of 324 expressions in this dataset are utterances taken from VIRADialogs, a dataset of conversations of users with a chatbot about COVID-19 vaccines. | |
| The data is split to 3 files, train.csv and dev.csv and test.csv. | |
| Each file contains the following columns: | |
| 1. text - the expression written by an annotator (or taken from VIRADialogs) | |
| 2. label - the running class index associated with this label | |
| If you use this dataset please cite: | |
| Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy | |
| Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim. | |
| arXiv. 2022. | |
| ============================ | |
| License: Community Data License Agreement - Sharing - Version 1.0 | |
| https://cdla.dev/sharing-1-0/ | |
| This dataset contains parts of VIRADialogs as-is. All credit for VIRADialogs belongs to Johns Hopkins University, they are the sole owners of VIRADialogs. VIRADialogs is available at vaxchat.org/research. |