The task is to predict the tags (a.k.a. keywords, topics, summaries), given only the question text and its title. The dataset contains content from disparate stack exchange sites, containing a mix of both technical and non-technical questions.
All of the data is in 2 files: Train and Test.
Train.csv contains 4 columns: Id,Title,Body,Tags
Id - Unique identifier for each question Title - The question's title Body - The body of the question Tags - The tags associated with the question (all lowercase, should not contain tabs '\t' or ampersands '&') Test.csv contains the same columns but without the Tags, which you are to predict.
The questions are randomized and contains a mix of verbose text sites as well as sites related to math and programming. The number of questions from each site may vary, and no filtering has been performed on the questions (such as closed questions).
Dataset : https://www.kaggle.com/c/facebook-recruiting-iii-keyword-extraction/data