DuReader is a large-scale open-domain Chinese machine reading comprehension dataset. The dataset consists of 200K questions, 420K answers and 1M documents. The questions and documents are based on Baidu Search and Baidu Zhidao. The answers are manually generated. The dataset additionally provides question type annotations – each question was manually annotated as either Entity, Description or YesNo and one of Fact or Opinion.
Source: https://arxiv.org/pdf/1711.05073v4.pdf
Image Source: https://arxiv.org/pdf/1711.05073v4.pdf
Variants: DuReader
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Open-Domain Question Answering | ERNIE 2.0 Large | ERNIE 2.0: A Continual Pre-training … | 2019-07-29 |
| Open-Domain Question Answering | ERNIE 2.0 Base | ERNIE 2.0: A Continual Pre-training … | 2019-07-29 |
Recent papers with results on this dataset: