Dataset · Hugging Face

jaredfern/codah

Name: codah
Creator: jaredfern
License: odc-by
Keywords: task_categories:question-answering, task_ids:multiple-choice-qa, annotations_creators:crowdsourced, language_creators:crowdsourced, multilinguality:monolingual, source_datasets:original, language:en, license:odc-by, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant

Dataset Card for COmmonsense Dataset Adversarially-authored by Humans Dataset Summary The COmmonsense Dataset Adversarially-authored by Humans (CODAH) is an evaluation set for commonsense question-answering 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.… See the full description on the dataset page: https://huggingface.co/datasets/jaredfern/codah.

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Author / organization	jaredfern
License (as declared)	odc-by
Downloads	16.4K (as reported by Hugging Face)
Likes	6
Created	2 March 2022
Last updated at source	19 January 2024

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