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- Measuring Mathematical Problem Solving With the MATH Dataset
Abstract: Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers To measure this ability in machine learning models, we introduce MATH, a new dataset of 12,500 challenging competition mathematics problems
- Measuring Mathematical Problem Solving With the MATH Dataset
This is the repository for Measuring Mathematical Problem Solving With the MATH Dataset by Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt This repository contains dataset loaders and evaluation code Download the MATH dataset here Download the AMPS pretraining dataset here
- Measuring Mathematical Problem Solving With the MATH Dataset
In this paper, we laid groundwork for future research in machine learning for mathematical problem solving We introduced the MATH benchmark, which enables the community to measure mathematical problem-solving ability
- Measuring Mathematical Problem Solving With the MATH Dataset - NeurIPS
Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers To measure this ability in machine learning models, we introduce MATH, a new dataset of 12,500 challenging competition mathematics problems
- MATH Dataset - Papers With Code
Each problem in MATH has a full step-by-step solution which can be used to teach models to generate answer derivations and explanations MATH is a new dataset of 12,500 challenging competition mathematics problems
- hendrycks competition_math · Datasets at Hugging Face
The Mathematics Aptitude Test of Heuristics (MATH) dataset consists of problems from mathematics competitions, including the AMC 10, AMC 12, AIME, and more Each problem in MATH has a full step-by-step solution, which can be used to teach models to generate answer derivations and explanations
- Measuring Mathematical Problem Solving With the MATH Dataset - Academia. edu
Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers To measure this ability in machine learning models, we introduce MATH, a new dataset of 12, 500 challenging competition mathematics problems
- Measuring Mathematical Problem Solving With the MATH Dataset
To measure this ability in machine learning models, we introduce MATH, a new dataset of 12;500 challenging competition mathematics problems Each problem in MATH has a full step-by-step solution which can be used to teach models to generate answer derivations and explanations
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