DREAM
Introduced by Sun et al. in DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.
DREAM contains 10,197 multiple choice questions for 6,444 dialogues, collected from English-as-a-foreign-language examinations designed by human experts. DREAM is likely to present significant challenges for existing reading comprehension systems: 84% of answers are non-extractive, 85% of questions require reasoning beyond a single sentence, and 34% of questions also involve commonsense knowledge.
Source: DREAMBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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DREAM
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ASA + RoBERTa
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DREAMS sleep spindles
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Robust autoregressive hidden semi-Markov model
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Papers
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