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---
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: ground_truth
dtype: string
- name: dataset
dtype: string
splits:
- name: train
num_bytes: 18898829
num_examples: 7473
- name: test
num_bytes: 3342727
num_examples: 1319
download_size: 2939167
dataset_size: 22241556
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: mit
---
<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'"/>
# GSM8k Data - RLVR Formatted
This dataset contains the GSM8k dataset formatted for use with [open-instruct](https://github.com/allenai/open-instruct) - specifically reinforcement learning with verifiable rewards.
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).
## Dataset Structure
Each example in the dataset contains the standard instruction-tuning data points as follow:
- messages (list): inputs used to prompt the model (after chat template formatting).
- ground_truth (str): the answer for the given sample.
- dataset (str): the name of the dataset, which determines which verifiable function is used. |