Back to all datasets
Dataset: cosmos_qa 🏷
Update on GitHub

How to load this dataset directly with the πŸ€—/datasets library:

Copy to clipboard
from datasets import load_dataset dataset = load_dataset("cosmos_qa")


Cosmos QA 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


    title={COSMOS QA: Machine Reading Comprehension
    with Contextual Commonsense Reasoning},
    author={Lifu Huang and Ronan Le Bras and Chandra Bhagavatula and Yejin Choi},
    booktitle ={arXiv:1909.00277v2},

Models trained or fine-tuned on cosmos_qa

None yet. Start fine-tuning now =)