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.

Phi-1.5: 41.4% HumanEval in 1.3B parameters (model download link in comments) : r/LocalLLaMA

niansong1996/lever-gsm8k-codex · Hugging Face

Minerva: Solving Quantitative Reasoning Problems with Language Models – Google Research Blog

WizardMath - Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct - AI Papers Academy

Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic

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Aojun Zhou - CatalyzeX

The OIG Dataset

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MMLU Dataset Papers With Code

Add GSM8K dataset · Issue #3201 · huggingface/datasets · GitHub

Sparse Fine-Tuning for Accelerating Large Language Models with DeepSparse - Neural Magic

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