ComplexWebQuestions

Dataset Information
Modalities
Texts
Languages
English
Introduced
2018
License
Unknown
Homepage

Overview

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;
  2. As a reading comprehension task: the authors release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of their 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.

Source: Allen Institute for AI
Image Source: Talmor et al

Variants: ComplexWebQuestions

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Question Answering TOME-2 Mention Memory: incorporating textual knowledge … 2021-10-12

Research Papers

Recent papers with results on this dataset: