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Ta-Feng Dataset

Retail Shopping
User Behaviour Analysis

Ta‑Feng is a grocery shopping dataset released by ACM RecSys. It covers products ranging from food and office supplies to furniture. The data were collected from November 2000 to February 2001, encompassing 817,741 transactions involving 32,266 users and 23,812 products.

github
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Amazon Prime user Dataset

User Behaviour Analysis
E-commerce

The Amazon Prime user dataset comprises 2,500 fictional users with detailed attributes such as name, email, location, subscription plan, payment information, and engagement metrics. It also includes demographic data (gender, birthdate) and preferences (favorite genres, devices used). The dataset represents diverse demographics, subscription plans, and usage patterns, enabling analysis of user behavior, preferences, and interaction with the Amazon Prime platform. It is intended for research and does not reflect real Amazon Prime users.

github
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sswt/stanford-act-mooc

Online Education
User Behaviour Analysis

The MOOC User Action dataset records user interactions on a MOOC platform, including action attributes, timestamps, and a binary label indicating whether the user dropped out of the course after the action. The original three CSV files have been merged into a single file containing columns ACTIONID, USERID, TARGETID, four feature columns (FEATUREx), TIMESTAMP, and LABEL.

hugging_face
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MovieLens

Movie Recommendation
User Behaviour Analysis

The MovieLens dataset includes user ratings for various movies, movie titles and genres, user‑generated movie tags, and identifiers from external movie data sources.

github
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