Dataset Card for GSM8K

  Dataset Summary

GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning.

These problems take between 2 and 8 steps to solve. Solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the… See the full description on the dataset page: https://huggingface.co/datasets/openai/gsm8k.

Dataset Card for Calc-gsm8k

  Summary

This dataset is an instance of gsm8k dataset, converted to a simple html-like language that can be easily parsed (e.g. by BeautifulSoup). The data contains 3 types of tags:

gadget: A tag whose content is intended to be evaluated by calling an external tool (sympy-based calculator in this case) output: An output of the external tool result: The final answer to the mathematical problem (a number)

  Supported Tasks

The… See the full description on the dataset page: https://huggingface.co/datasets/MU-NLPC/Calc-gsm8k.

GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems created by human problem writers. The dataset is segmented into 7.5K training problems and 1K test problems. These problems take between 2 and 8 steps to solve, and solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the final answer. A bright middle school student should be able to solve every problem. It can be used for multi-step mathematical reasoning.

gretelai/gsm8k-synthetic-diverse-8b

This dataset is a synthetically generated version inspired by the GSM8K https://huggingface.co/datasets/openai/gsm8k dataset, created entirely using Gretel Navigator with meta-llama/Meta-Llama-3.1-8B as the agent LLM. It contains ~1500 Grade School-level math word problems with step-by-step solutions, focusing on age group, difficulty, and domain diversity.

  Key Features:

Synthetically Generated: Math problems created using Gretel… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/gsm8k-synthetic-diverse-8b.

GSM8K (Fixed)

Some erroneous labels exist in the GSM8K dataset. This dataset is fixed from https://github.com/openai/grade-school-math/blob/master/grade_school_math/data/train.jsonl with the code appended at the end. The errors are located by delving into unreasonably low pass rates by the strong DeepSeekMath-7B-RL and hopefully should be exhaustive. This dataset is used by the 🎯DART-Math project to synthesize data.

[!WARNING] ⚠️ Only the training set has been fixed so far.

for… See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/gsm8k-fix.

Dataset Summary

This is the harder version of gsm8k math reasoning dataset (https://huggingface.co/datasets/gsm8k). We construct this dataset by replacing the numbers in the questions of GSM8K with larger numbers that are less common.

  Supported Tasks and Leaderboards

This dataset is used to evaluate math reasoning

  Languages

English - Numbers

  Dataset Structure

dataset = load_dataset("reasoning-machines/gsm-hard") DatasetDict({ train: Dataset({… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-machines/gsm-hard.

gohsyi/gsm8k dataset hosted on Hugging Face and contributed by the HF Datasets community

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  gretelai/synthetic-gsm8k-reflection-405b

This dataset is a synthetically generated version inspired by the GSM8K dataset, created entirely using Gretel Navigator with meta-llama/Meta-Llama-3.1-405B as the agent LLM. It contains Grade School-level reasoning tasks with step-by-step reflections and solutions, focusing on multi-step reasoning problems.

  Key Features for AI Developers:

Synthetic Data Generation:… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/gretel-math-gsm8k-v1.

lilac/GSM8K-main

This dataset is a Lilac processed dataset. Original dataset: https://huggingface.co/datasets/gsm8k To download the dataset to a local directory: lilac download lilacai/lilac-GSM8K-main

or from python with: ll.download("lilacai/lilac-GSM8K-main")

DaertML/gsm8k-jsonl dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for GSM8K-Platinum

🏆 Homepage | 📣 Blog | 🖥️ Code | 📖 Paper | 🔍 Error Viewer

  Dataset Summary

GSM8K-Platinum is a revised version of the full test set of GSM8K (Grade School Math 8K), a dataset of grade school math word problems, providing a more accurate assessment of mathematical reasoning capabilities To revise this dataset, we ran a variety of frontier models each individual example and manually examined any example for which at least one… See the full description on the dataset page: https://huggingface.co/datasets/madrylab/gsm8k-platinum.

A dataset containing mathematical problem-solving traces with step-by-step solutions and improvement history. Each record includes a mathematical problem, its final solution, and the iterative improvement process.

Dataset Card for GSM8K-Prolog

  Dataset Summary

This is the Prolog annotated version of the GSM8K math reasoning dataset. We used the same dataset splits and questions in GSM8K and prompted GPT-4 to generate the Prolog programs to solve the questions. We then manually corrected some malfunctioning samples.

  Supported Tasks and Leaderboards

This dataset can be used to train language models to generate Prolog codes in order to solve math questions and evaluate the… See the full description on the dataset page: https://huggingface.co/datasets/Thomas-X-Yang/gsm8k-prolog.

dtrejopizzo/gsm8k-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Instella-GSM8K-synthetic

The Instella-GSM8K-synthetic dataset was used in the second stage pre-training of Instella-3B model, which was trained on top of the Instella-3B-Stage1 model. This synthetic dataset was generated using the training set of GSM8k dataset, where we first used Qwen2.5-72B-Instruct to

Abstract numerical values as function parameters and generate a Python program to solve the math question. Identify and replace numerical values in the existing question with… See the full description on the dataset page: https://huggingface.co/datasets/amd/Instella-GSM8K-synthetic.

GSM8K-Consistency Benchmark

GSM8K-Consistency is a benchmark database for analyzing the consistency of Arithmetic Reasoning on GSM8K.

  🚀 The dataset is available on 🤗 Hugging Face!

This is a math-problem-related semantics-preserving perturbation benchmark that can be very helpful for evaluating the consistency of arithmetic reasoning capability.

  💻 Dataset Usage

Run the following command to load the data: from datasets import load_dataset

dataset =… See the full description on the dataset page: https://huggingface.co/datasets/shuyuej/GSM8K-Consistency.

GSM8K Dataset with IDs

This is an enhanced version of the GSM8K dataset. Unique deterministic IDs have been added for each example using a hash of the question and answer.

  Features

ID: A deterministic 8-character hash generated from the question + answer. Ensures ID uniqueness within each split.

  Usage

Load the dataset directly from the Hub: from datasets import load_dataset

datasetdict = load_dataset("epfl-dlab/gsm8k")

print(datasetdict["train"][0]) #… See the full description on the dataset page: https://huggingface.co/datasets/epfl-dlab/gsm8k.

RLHFlow/Mistral-GSM8K-Test dataset hosted on Hugging Face and contributed by the HF Datasets community

rawsh/mirrorqwen2.5-0.5B-gsm8k-policy-data-ST-1 dataset hosted on Hugging Face and contributed by the HF Datasets community

OpenMath GSM8K Masked

We release a masked version of the GSM8K solutions. This data can be used to aid synthetic generation of additional solutions for GSM8K dataset as it is much less likely to lead to inconsistent reasoning compared to using the original solutions directly. This dataset was used to construct OpenMathInstruct-1: a math instruction tuning dataset with 1.8M problem-solution pairs generated using permissively licensed Mixtral-8x7B model. For details of how the masked… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/OpenMath-GSM8K-masked.