Context Stable benchmark dataset. 20 million ratings and 465,000 tag applications applied to 27,000 movies by 138,000 users. Content - this dataset has got three files named as ratings.csv, movies.csv and tags.csv - movies.csv In the 3 columns stored are the values of movieId, title and genre. The title has got the release year of movie in parenthesis. The movie list range from Dickson Greeting (1891) to movies of 2015. With the total of 27278 movies. - ratings.csv the movies have been rated by 138493 users on the scale of 1 to 5, this file contains the information divided in the column 'userId', 'movieId', 'rating' and 'timestamp'. - tags.csv this file has the data divided under category 'userId','movieId' and 'tag' Acknowledgements I got this data from MovieLens, for a mini project. This is the link to original data set Inspiration You have got a ton data. You can use this to make fun decisions like which is the best movie series of all time or create a completely new story out of the data that you have.