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.

Zhihong Shao on X: With self-consistency, ToRA-34B improves from 51% to 60% on the competition-level MATH dataset, and ToRA-70B scores 88.3% on GSM8k. Paper Page: Models: Github Repo

AK on X: MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning paper page: The recently released GPT-4 Code Interpreter has demonstrated remarkable proficiency in solving challenging math problems

PDF] Solving math word problems with process- and outcome-based feedback

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

ArxivPapers Dataset

GSM8K Dataset Papers With Code

arxiv-sanity

Science Cast

𝗔𝗿𝗶𝘁𝗵𝗺𝗼-𝗠𝗶𝘀𝘁𝗿𝗮𝗹-𝟳𝗕 Model for Mathematical Reasoning : r/LocalLLaMA

HellaSwag or HellaBad? 36% of this popular LLM benchmark contains errors