Datasets:
Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
open-domain-qa
Languages:
Indonesian
Size:
10K - 100K
License:
Update README.md
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README.md
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annotations_creators:
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- crowdsourced
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language_creators:
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-
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language:
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license:
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- mit
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multilinguality:
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- monolingual
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pretty_name: CommonsenseQA
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size_categories:
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- 1K<n<10K
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source_datasets:
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-
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task_categories:
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- question-answering
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task_ids:
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### Dataset Summary
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CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge
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to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.
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The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation
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split, and "Question token split", see paper for details.
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annotations_creators:
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- crowdsourced
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language_creators:
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- machine-translation
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language:
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- id
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license:
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- mit
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multilinguality:
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- monolingual
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pretty_name: CommonsenseQA-ID
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size_categories:
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- 1K<n<10K
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source_datasets:
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- translation
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task_categories:
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- question-answering
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task_ids:
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### Dataset Summary
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CommonsenseQA-ID is Indonesian translation version of CommonsenseQA, a new multiple-choice question answering dataset that requires different types of commonsense knowledge
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to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.
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93 |
The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation
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94 |
split, and "Question token split", see paper for details.
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