GSM8K Dataset Papers With Code

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.

arxiv-sanity

Paper Review: LLaMA: Open and Efficient Foundation Language Models – Andrey Lukyanenko

How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems

TinyGSM: achieving >80% on GSM8k with small language models

How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems

AI tools to write (Julia) code (best/worse experience), e.g. ChatGPT, GPT 3.5 - Offtopic - Julia Programming Language

Papers Explained 55: LLaMA. LLaMA is a collection of foundation…, by Ritvik Rastogi, DAIR.AI

HumanEval Dataset

How Surge AI Built OpenAI's GSM8K Dataset of 8,500 Math Problems

GitHub - Raibows/Learn-to-Reason: Code for Democratizing Reasoning Ability: Tailored Learning from Large Language Model, EMNLP 2023