Update README.md

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!

README.md

@@ -6,7 +6,5 @@ task_categories:
 pretty_name: HumanMOD (AMCIS 2023)
 size_categories:
 - 10M<n<100M
-tags:
-- not-for-all-audiences
 ---
  This