datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
math-squared
Dataset Name
MATH2
Dataset Description
MATH2 is a mathematical reasoning evaluation dataset curated using a human-in-the-loop approach proposed in the paper AI-Assisted Generation of Difficult Math Questions. The dataset consists of 210 questions formed by combining 2 math domain skills using frontier LLMs. These skills were extracted from the MATH [Hendrycks et al., 2021] dataset.
Dataset Sources
Paper: AI-Assisted Generation of Difficult Math… See the full description on the dataset page: https://huggingface.co/datasets/veds12/math-squared.Math-Solve
Overview
The Math-Solve dataset is a collection of math problems and their solutions, designed to facilitate training and evaluation of models for tasks such as text generation, question answering, and summarization. The dataset contains nearly 25k rows of math-related problems, each paired with a detailed solution.
This dataset is particularly useful for researchers and developers working on AI models that require mathematical reasoning and problem-solving capabilities.… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-Solve.Math-Solve-Singleshot
Math-Solve-Singleshot
Overview
This dataset, named Math-Solve-Singleshot, is designed for solving single-shot mathematical problems. It contains a variety of math problems formatted in text, suitable for training and evaluating models on mathematical reasoning tasks.
Modalities
Text
Formats: CSV
Size: 1.05M rows
Libraries: pandas
Croissant
License: Apache-2.0
Dataset Details
Train Split: 1.05 million rows
Problem String Lengths:
Length 1: 16… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Math-Solve-Singleshot.