...for Recognizing Everyday Stressors in SMS-like Conversational Systems
Contained in the .zip file is the version 1 dataset as an XLSX file, a schema TXT file describing the columns and sources of the data, and a PNG chart of the data's top_label distribution. For more detail and to cite it, please use this reference:
Matthew Louis Mauriello, Emmanuel Thierry Lincoln, Grace Hon, Dorien Simon, Dan Jurafsky, and Pablo E. Paredes. 2021. SAD: A Stress Annotated Dataset for Recognizing Everyday Stressors in SMS-like Conversational Systems. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts), May 8–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3411763.3451799
Find the paper early at:
https://sensifylab.cis.udel.edu/docs/2021-Mauriello-CHI-StressAnnotatedDataset-Abstract.pdf