Amazon Product Reviews Dataset

This dataset is an updated and expanded version of the Amazon review dataset originally released in 2014. It contains a comprehensive collection of customer reviews, product metadata, and relational links useful for recommendation systems and data analysis.

Key Features:

• Large Scale: Over 233 million reviews spanning from May 1996 to October 2018 (compared to 142.8 million in the 2014 release).
• Review Data: Includes ratings, review text, and helpfulness votes.
• Rich Metadata: Enhanced product information such as color, size, package type, bullet-point descriptions, technical details (attribute-value pairs), and images taken post-purchase.
• Relational Links: Graph data showing “also viewed” and “also bought” product relationships.
• Expanded Categories: Five new product categories added to cover a wider range of items.

Applications:

Ideal for building and evaluating machine learning models in sentiment analysis, recommendation systems, opinion mining, and other NLP and data mining tasks.

Formats Available:

Typically available in JSON or CSV formats.

Source: 
https://snap.stanford.edu/data/web-Amazon-links.html