COmmonsense Dataset Adversarially-authored by Humans (CODAH) Dataset
Created by Chen et al. at 2019, the COmmonsense Dataset Adversarially-authored by Humans (CODAH) Commonsense QA in the sentence completion style of SWAG. As opposed to other automatically generated NLI datasets, CODAH is adversarially constructed by humans who can view feedback from a pre-trained model and use this information to design challenging commonsense questions., in English language. Containing 2,776 in TSV file format.
Dataset Sources
Here you can download the COmmonsense Dataset Adversarially-authored by Humans (CODAH) dataset in TSV format.
Download COmmonsense Dataset Adversarially-authored by Humans (CODAH) dataset TSV files
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Paper
Read full original COmmonsense Dataset Adversarially-authored by Humans (CODAH) paper.
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