The NarrativeQA dataset includes a list of documents with Wikipedia summaries, links to full stories, and questions and answers.
Source: DeepMind
Image Source: Kočiský et al
Variants: NarrativeQA
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Question Answering | FiD+Distil | Distilling Knowledge from Reader to … | 2020-12-08 |
| Question Answering | BERT-QA with Hard EM objective | A Discrete Hard EM Approach … | 2019-09-11 |
| Question Answering | Masque (NarrativeQA only) | Multi-style Generative Reading Comprehension | 2019-01-08 |
| Question Answering | Masque (NarrativeQA + MS MARCO) | Multi-style Generative Reading Comprehension | 2019-01-08 |
| Question Answering | DecaProp | Densely Connected Attention Propagation for … | 2018-11-10 |
| Question Answering | MHPGM + NOIC | Commonsense for Generative Multi-Hop Question … | 2018-09-17 |
| Question Answering | Oracle IR Models | The NarrativeQA Reading Comprehension Challenge | 2017-12-19 |
| Question Answering | BiDAF | Bidirectional Attention Flow for Machine … | 2016-11-05 |
Recent papers with results on this dataset: