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Update README.md
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README.md
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This dataset is a human-annotated subset of randomly sampled question-answer entries from the CommonsenseQA dataset (tau/commonsense_qa).
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The 'rationales' for each QA pair were created using a two-part method. First, Mixtral (mistralai/Mixtral-8x7B-Instruct-v0.1) was used
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to generate 3 unique CoT (Chain-of-Thought) explanations. Next, human evaluation was applied to distill the
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a cohesive set of question-answer-rationale triplets.
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The working hypothesis, inspired by the research papers listed below, is that a diverse set of CoT rationales passed along
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This dataset is a human-annotated subset of randomly sampled question-answer entries from the CommonsenseQA dataset (tau/commonsense_qa).
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The 'rationales' for each QA pair were created using a two-part method. First, Mixtral (mistralai/Mixtral-8x7B-Instruct-v0.1) was used
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to generate 3 unique CoT (Chain-of-Thought) explanations. Next, human evaluation was applied to distill the random sampling down to
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a cohesive set of question-answer-rationale triplets.
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The working hypothesis, inspired by the research papers listed below, is that a diverse set of CoT rationales passed along
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