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Dataset: quartz 🏷
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How to load this dataset directly with the πŸ€—/nlp library:

			
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from nlp import load_dataset dataset = load_dataset("quartz")

Description

QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each question is paired with one of 405 different background sentences (sometimes short paragraphs). The QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with one of 405 different background sentences (sometimes short paragraphs). The dataset is split into train (2696), dev (384) and test (784). A background sentence will only appear in a single split.

Citation

@InProceedings{quartz,
  author = {Oyvind Tafjord and Matt Gardner and Kevin Lin and Peter Clark},
  title = {"QUARTZ: An Open-Domain Dataset of Qualitative Relationship
Questions"},
 
  year = {"2019"},
}

Models trained or fine-tuned on quartz

None yet. Start fine-tuning now =)