Omkar2118/datasets huggingface dataset:
KuaiRand

KuaiRand is an unbiased sequential recommendation dataset collected from the recommendation logs of the video-sharing mobile app, Kuaishou (快手). It is the first recommendation dataset with millions of intervened interactions of randomly exposed items inserted in the standard recommendation feeds!

Introducing paper: KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
MentSum
Full name: Mental Health Summarization Dataset

Mental health remains a significant challenge of public health worldwide. With increasing popularity of online platforms, many use the platforms to share their mental health conditions, express their feelings, and seek help from the community and counselors. While posts are of varying length, it is beneficial to provide a short, but informative summary for fast processing by the counselors. To facilitate research in summarization of mental health online posts, we introduce Mental Health Summarization dataset, MentSum, containing over 24k carefully selected user posts from Reddit, along with their short user-written summary (called TLDR) in English from 43 mental health subreddits.

MentSum is distributed through Data Usage Agreement (DUA). Please fill out the request form at https://ir.cs.georgetown.edu/resources/  to obtain this dataset.

Introducing paper: MentSum: A Resource for Exploring Summarization of Mental Health Online Posts