Datasets

Real-life Deception Detection Dataset

The dataset consists of real-life trial videos that contain statements made by exonerees after exoneration and a few statements from defendants during crime-related TV episodes. The speakers in the videos are either defendants or witnesses. The video clips are labeled as deceptive or truthful based on a guilty verdict, not-guilty verdict, and exoneration. The above link also includes other valuable deception detection datasets.

Citation information:

U. M. Sen, V. Perez-Rosas, B. Yanikoglu, M. Abouelenien, M. Burzo and R. Mihalcea, "Multimodal Deception Detection using Real-Life Trial Data," in IEEE Transactions on Affective Computing, vol. 13, no. 1, pp. 306-319, 2022. [PDF]

V. Perez-Rosas, M. Abouelenien, R. Mihalcea, and M. Burzo. "Deception detection using real-life trial data", in Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, ICMI 2015, pages 59-66, Seattle, WA, USA, November 2015. [PDF]