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+
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+ ---
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+ language:
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+ - en
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+ license: mit
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+ license_bigbio_shortname: MIT
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+ pretty_name: Evidence Inference 2.0
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+ ---
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+
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+
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+ # Dataset Card for Evidence Inference 2.0
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://github.com/jayded/evidence-inference
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+ - **Pubmed:** True
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+ - **Public:** True
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+ - **Tasks:** Question Answering
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+
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+
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+ The dataset consists of biomedical articles describing randomized control trials (RCTs) that compare multiple
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+ treatments. Each of these articles will have multiple questions, or 'prompts' associated with them.
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+ These prompts will ask about the relationship between an intervention and comparator with respect to an outcome,
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+ as reported in the trial. For example, a prompt may ask about the reported effects of aspirin as compared
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+ to placebo on the duration of headaches. For the sake of this task, we assume that a particular article
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+ will report that the intervention of interest either significantly increased, significantly decreased
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+ or had significant effect on the outcome, relative to the comparator.
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+
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+
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+
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+ ## Citation Information
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+
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+ ```
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+ @inproceedings{deyoung-etal-2020-evidence,
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+ title = "Evidence Inference 2.0: More Data, Better Models",
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+ author = "DeYoung, Jay and
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+ Lehman, Eric and
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+ Nye, Benjamin and
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+ Marshall, Iain and
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+ Wallace, Byron C.",
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+ booktitle = "Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing",
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+ month = jul,
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+ year = "2020",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://www.aclweb.org/anthology/2020.bionlp-1.13",
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+ pages = "123--132",
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+ }
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+
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+ ```