araag2/Evidence_Inference_v2

Evidence Inference 2.0

Dataset Description

Dataset Summary

The dataset consists of biomedical articles describing randomized control trials (RCTs) that compare multiple treatments. Each of these articles will have multiple questions, or 'prompts' associated with them. These prompts will ask about the relationship between an intervention and comparator with respect to an outcome, as reported in the trial. For example, a prompt may ask about the reported effects of aspirin as compared to placebo on the duration of headaches.

Data Instances

{
  'TO:DO': ...,
  ...
}

Data Fields

TO:DO

Additional Information

Dataset Curators

Original Paper

• —Jay DeYoung (deyoung.j@northeastern.edu) - Khoury College of Computer Sciences, Northeastern University
• —Eric Lehman (lehman.e@northeastern.edu) - Khoury College of Computer Sciences, Northeastern University
• —Ben Nye (nye.b@northeastern.edu) - Khoury College of Computer Sciences, Northeastern University
• —Iain J. Marshall (mail@ijmarshall.com) - Kings College London
• —Byron C. Wallace (b.wallace@northeastern.edu) - Khoury College of Computer Sciences, Northeastern University

Huggingface Curator

• —Artur Guimarães (artur.guimas@gmail.com) - INESC-ID / University of Lisbon - Instituto Superior Técnico

Licensing Information

CC BY-SA 4.0

Citation Information

@article{deyoung2020evidence,
  title={Evidence inference 2.0: More data, better models},
  author={DeYoung, Jay and Lehman, Eric and Nye, Ben and Marshall, Iain J and Wallace, Byron C},
  journal={arXiv preprint arXiv:2005.04177},
  year={2020}
}

10.18653/v1/2020.bionlp-1.13

Contributions

Thanks to araag2 for adding this dataset.