We create a publicly available dataset of over 3,100 COVID-19 vaccine-related tweets labeled as one of four stance categories: pro-vaxx, anti-vaxx, vaxx-hesitant, or irrelevant. We split our dataset into two separate files: (1) VaccineHesitancy_train_v2.csv (Single + Double annotated) (2) VaccineHesitancy_test.csv (Double annotated) We present the details of this dataset here: VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter @misc{mu2023vaxxhesitancy, title={VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter}, author={Yida Mu and Mali Jin and Charlie Grimshaw and Carolina Scarton and Kalina Bontcheva and Xingyi Song}, year={2023}, eprint={2301.06660}, archivePrefix={arXiv}, primaryClass={cs.CL} }