Showing 1-8 of 15 results

Clubhouse data

Creators: Kaggle
Publication Date: 2024-10-23

The Clubhouse dataset on Kaggle provides data related to the social audio app Clubhouse. It contains information such as user demographics, room activity, user engagement metrics, and discussions held on the platform.

Raw Bay Area Craigslist Rental Housing Posts

Creators: Pennigton, Kate
Publication Date: 2018

Like many cities, San Francisco doesn’t track rents. I created a panel of historic Craigslist rents by scraping posts archived by the Wayback Machine. Please feel free to use the data, and of course, please cite.

Amazon Brand and Exclusives

Creators: Jeffries, Adrianne; Yin, Leon
Publication Date: 2021

Google Restaurants

Creators: Zhankui He, Yan; Li, Jiacheng; Zhang, Tianyang; McAuley, Julian
Publication Date: 2022

This is a mutli-modal dataset of restaurants from Google Local (Google Maps). Data includes images and reviews posted by users, as well as other metadata for each restaurant.

TripAdvisor European restaurants

Creators: (Leone, Stefano)
Publication Date: 2021

TripAdvisor is the most popular travel website and it stores data for almost all restaurants, showing locations (even latitude and longitude coordinates), restaurant descriptions, user ratings and reviews, and many more aspects.The dataset is 0.68 GB large.

The TripAdvisor dataset includes 1,083,397 restaurants with attributes such as location data, average rating, number of reviews, open hours, cuisine types, awards, etc.

The dataset combines the restaurants from the main European countries, the data has been scraped in early May 2021.

Amazon product co-purchasing network metadata

Creators: Leskovec, Jure
Publication Date: 2006

The data was collected by crawling Amazon website and contains product metadata and review information about 548,552 different products (Books, music CDs, DVDs and VHS video tapes). For each product the following information is available:

Title
Salesrank
List of similar products (that get co-purchased with the current product)
Detailed product categorization
Product reviews: time, customer, rating, number of votes, number of people that found the review helpful

The data was collected in summer 2006.

Web data: Amazon Fine Foods reviews

Creators: McAuley, Julian; Leskovec, Jure
Publication Date: 2012

This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plaintext review.

Web data: Amazon movie reviews

Creators: McAuley, Julian; Leskovec, Jure
Publication Date: 2012

This dataset consists of movie reviews from amazon. The data span a period of more than 10 years, including all ~8 million reviews up to October 2012. Reviews include product and user information, ratings, and a plaintext review.

Sign In

Register

Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.