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.

TensorFlow Datasets

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

Paper page - TheoremQA: A Theorem-driven Question Answering dataset

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

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

GPT-4 wins the new SOTA of the most difficult mathematical reasoning data set, and the new Prompting makes the reasoning ability of large models soar, by Yaokun Lin @ MachineLearningQuickNotes

PaLM 2 Technical Report

PDF] ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions

SFT Explained Papers With Code

ArxivPapers Dataset

Language Models are Multilingual Chain-of-Thought Reasoners

GitHub - openai/grade-school-math

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