Psych-101 is a psychological knowledge question-answering dataset released by Helmholtz Munich in 2021. The relevant paper results are:Centaur: a foundation model of human cognition", which aims to help develop natural language processing models for question-answering tasks of psychological knowledge and promote psychology-related AI research, especially in psychology education, sentiment analysis and mental health applications. The dataset contains trial-by-trial data from 160 psychology experiments, 60,092 participants, and a total of 10,681,650 choices.

Citation

@misc{binz2024centaurfoundationmodelhuman, title={Centaur: a foundation model of human cognition}, author={Marcel Binz and Elif Akata and Matthias Bethge and Franziska Brändle and Fred Callaway and Julian Coda-Forno and Peter Dayan and Can Demircan and Maria K. Eckstein and Noémi Éltető and Thomas L. Griffiths and Susanne Haridi and Akshay K. Jagadish and Li Ji-An and Alexander Kipnis and Sreejan Kumar and Tobias Ludwig and Marvin Mathony and Marcelo Mattar and Alireza Modirshanechi and Surabhi S. Nath and Joshua C. Peterson and Milena Rmus and Evan M. Russek and Tankred Saanum and Natalia Scharfenberg and Johannes A. Schubert and Luca M. Schulze Buschoff and Nishad Singhi and Xin Sui and Mirko Thalmann and Fabian Theis and Vuong Truong and Vishaal Udandarao and Konstantinos Voudouris and Robert Wilson and Kristin Witte and Shuchen Wu and Dirk Wulff and Huadong Xiong and Eric Schulz}, year={2024}, eprint={2410.20268}, archivePrefix={arXiv}, primaryClass={cs.LG}, url={https://arxiv.org/abs/2410.20268}, }