Omkar2118/datasets huggingface dataset:
Retweet MTPP
Full name: Marked Temporal Point Processes on Retweet data

This dataset contains time-stamped user retweet event sequences. The events are categorized into 3 types: retweets by “small,” “medium” and “large” users. Small users have fewer than 120 followers, medium users have fewer than 1363, and the rest are large users.

Introducing paper: SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity
Amazon MTPP
Full name: Marked Temporal Point Processes on Amazon data

The dataset includes time-stamped user product reviews behavior from January, 2008 to October, 2018. Each user has a sequence of produce review events with each event containing the timestamp and category of the reviewed product, with each category corresponding to an event type.
StackOverflow MTPP
Full name: Marked Temporal Point Processes on StackOverflow data

The dataset has two years of user awards on a question-answering website: each user received a sequence of badges and there are 22 different kinds of badges in total.
AgeGroup Transactions MTPP
Full name: Marked Temporal Point Processes on financial transactions data

The dataset contains historical financial transactions, including time, category and cost fields. There are 50000 clients, 205 categories and 43.7M events. The original goal was to predict the age group of the client. In this variant of the dataset, the goal is to forecast multiple future events.

Introducing paper: HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?