We are thrilled to announce the release of the HumanMOD dataset.
The dataset has been published in the paper entitled "How Does User Engagement Support Content Moderation? A Deep Learning-based Comparative Study" at AMCIS 2023. You are highly recommended to cite our publish work using the following format:
Wang, Kanlun; Fu, Zhe; Zhou, Lina; and Zhang, Dongsong, "How Does User Engagement Support Content Moderation? A Deep Learning-based Comparative Study" (2023). AMCIS 2023 Proceedings. 3.
https://aisel.aisnet.org/amcis2023/sig_aiaa/sig_aiaa/3
This rich collection of augmented FLAN data aligns, as best as possible, with the distributions outlined in the Orca paper. It has been instrumental in generating high-performing model checkpoints and serves as a valuable resource for all NLP researchers and developers!
