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DATASET

GSM8K

Grade School Math 8K - a benchmark of linguistically diverse math word problems testing multi-step reasoning.

TARGET QUERY gsm8k dataset · ~4K/mo
SIZE
8.5K grade-school math problems
CREATOR
OpenAI
MODALITY
text
LICENSE
MIT
RELEASED
2021-10
OVERVIEW Updated 2026-05-17

Overview

GSM8K is OpenAI’s benchmark of 8,500 linguistically diverse grade-school math word problems requiring multi-step reasoning. It exposed a critical weakness in language models and catalyzed research into mathematical reasoning capabilities.

What’s In It

The dataset contains 8,500 math problems requiring 2-8 steps of elementary arithmetic. Problems are written in natural language requiring no knowledge beyond grade-school math but demanding careful multi-step reasoning. Each includes a step-by-step solution.

How It’s Used

GSM8K is the primary benchmark for evaluating mathematical reasoning in language models. It motivated chain-of-thought prompting which showed dramatic improvements. The dataset also benchmarks tool-use approaches where models call calculators.

Controversies

Some researchers argue GSM8K problems are too formulaic and models may learn superficial patterns rather than genuine reasoning. Data contamination is a concern as problems have been widely shared online.