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--- |
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dataset_info: |
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features: |
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- name: messages |
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list: |
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- name: content |
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dtype: string |
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- name: role |
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dtype: string |
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- name: ground_truth |
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dtype: string |
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- name: dataset |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 18898829 |
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num_examples: 7473 |
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- name: test |
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num_bytes: 3342727 |
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num_examples: 1319 |
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download_size: 2939167 |
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dataset_size: 22241556 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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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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--- |
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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. |
