MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
A diverse set of grade-school math problems aiming to evaluate and improve the mathematical reasoning abilities of language models. This dataset is a more challenging variant of the GSM8K. It was modified by substituting the numbers with larger, less frequently encountered values.
Format: DataFrame with following features
Input: (Text) Math question
Henry made two stops during his 60-mile bike trip. He first stopped after 20 miles. His second stop was 15 miles before the end of the trip. How many miles did he travel between his first and second stops?
Target: (Number) The answer to the corresponding question
25
Get start with our introduction notebook, where we utilize GPT (Generative-Pretrained-Transformers) and PAL (program-aided language models) to solve math problems step-by-step!!
HAPPY KAGGLING !!
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MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
A diverse set of grade-school math problems aiming to evaluate and improve the mathematical reasoning abilities of language models. This dataset is a more challenging variant of the GSM8K. It was modified by substituting the numbers with larger, less frequently encountered values.
Format: DataFrame with following features
Input: (Text) Math question
Henry made two stops during his 60-mile bike trip. He first stopped after 20 miles. His second stop was 15 miles before the end of the trip. How many miles did he travel between his first and second stops?
Target: (Number) The answer to the corresponding question
25
Get start with our introduction notebook, where we utilize GPT (Generative-Pretrained-Transformers) and PAL (program-aided language models) to solve math problems step-by-step!!
HAPPY KAGGLING !!