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path: data/train-*
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- split: test
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path: data/test-*
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path: data/train-*
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- split: test
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path: data/test-*
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license: mit
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<img src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/tulu-3/Tulu3-logo.png" alt="Tulu3 banner" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# GSM8k Data - RLVR Formatted
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This dataset contains the GSM8k dataset formatted for use with [open-instruct](https://github.com/allenai/open-instruct) - specifically reinforcement learning with verifiable rewards.
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Part of the Tulu 3 release, for which you can see models [here](https://huggingface.co/collections/allenai/tulu-3-models-673b8e0dc3512e30e7dc54f5) and datasets [here](https://huggingface.co/collections/allenai/tulu-3-datasets-673b8df14442393f7213f372).
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## Dataset Structure
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Each example in the dataset contains the standard instruction-tuning data points as follow:
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- messages (list): inputs used to prompt the model (after chat template formatting).
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- ground_truth (str): the answer for the given sample.
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- dataset (str): the name of the dataset, which determines which verifiable function is used.
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