ComplexWebQuestions is a dataset for answering complex questions that require reasoning over multiple web snippets. It contains a large set of complex questions in natural language, and can be used in multiple ways:
1) By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2018);
2) As a reading comprehension task: we release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of our model;
3) As a semantic parsing task: each question is paired with a SPARQL query that can be executed against Freebase to retrieve the answer.