Finding Data & Statistics: Data Science

A collection of datasets and data generators used by the machine learning community. Currently has >600 datasets, searchable by data type, task of interest, domain area, and other attributes.

Search by size (GBs), file type, license type, and topic/domain tags.

Database of handwritten digits, with a training set of 60,000 and test set of 10,000 examples. Good dataset for pattern recognition.

Contains nearly 7 million Yelp reviews, plus photos and business attributes.

This compilation of datasets from UCSD's Julian McAuley includes datasets from Amazon, Goodreads, RentTheRunway, Facebook, Twitter, Reddit, and more.

YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse vocabulary of 3,800+ visual entities. The YouTube-8M Segments dataset is an extension of the YouTube-8M dataset with human-verified segment annotations.

Within this guide, under Find Data by Topic/COVID-19. Scroll down to "Social media data"

Includes a large amount of satellite imagery (LANDSAT, Sentinel-2).

Choose from US government data, statistical/scientific data, and online service data.

Data Is Plural is a weekly newsletter of useful/curious datasets, published by Jeremy Singer-Vine. This is a great resource for finding data sets that aren't necessarily data science focused per se, but could have a variety of data science applications (recommendation algorithms, predictive analytics, etc.)

Data cleaning is a hugely important part of data science, but it can be hard to find "good" messy datasets to practice your cleaning skills. This site includes datasets that need clearning/organizing/reformatting to be most useful, along with a brief overview of what needs to be fixed in each dataset.