CosmosQA
Introduced by Huang et al. in Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
CosmosQA is a large-scale dataset of 35.6K problems that require commonsense-based reading comprehension, formulated as multiple-choice questions. It focuses on reading between the lines over a diverse collection of people’s everyday narratives, asking questions concerning on the likely causes or effects of events that require reasoning beyond the exact text spans in the context.
Source: Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based ApproachPapers
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