COmmonsense Dataset Adversarially-authored by Humans (CODAH)
Question AnsweringReading ComprehensionCommonsenseEnglish
COmmonsense Dataset Adversarially-authored by Humans (CODAH) is a question answering dataset in English from Chen et al. with 2,776 records in TSV format.
About 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.
Details
- Task
- Question Answering, Reading Comprehension, Commonsense
- Language
- English
- Format
- TSV
- Rows / instances
- 2,776
- Creator
- Chen et al.
- Year
- 2019