---
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.