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WebQuestions

Introduced by Berant et al. in Semantic Parsing on Freebase from Question-Answer Pairs

The WebQuestions dataset is a question answering dataset using Freebase as the knowledge base and contains 6,642 question-answer pairs. It was created by crawling questions through the Google Suggest API, and then obtaining answers using Amazon Mechanical Turk. The original split uses 3,778 examples for training and 2,032 for testing. All answers are defined as Freebase entities.

Example questions (answers) in the dataset include “Where did Edgar Allan Poe died?” (baltimore) or “What degrees did Barack Obama get?” (bachelor_of_arts, juris_doctor).

Source: Question Answering with Subgraph Embeddings

Samples

Source: Berant et al.

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