SimpleQuestions is a large-scale factoid question answering dataset. It consists of 108,442 natural language questions, each paired with a corresponding fact from Freebase knowledge base. Each fact is a triple (subject, relation, object) and the answer to the question is always the object. The dataset is divided into training, validation, and test sets with 75,910, 10,845 and 21,687 questions respectively.
Source: Hierarchical Memory Networks
Image Source: https://paperswithcode.com/paper/large-scale-simple-question-answering-with/
Variants: SimpleQuestions
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Question Answering | Memory Networks (ensemble) | Large-scale Simple Question Answering with … | 2015-06-05 |
Recent papers with results on this dataset: