maths
Datasets
All datasets matching “maths”MathSpatialMathSpatial
Do MLLMs Really Understand Space? A Mathematical Spatial Reasoning Evaluation
Submitted to ACM Multimedia 2026 — Dataset Track
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Overview
MathSpatial is a large-scale, open dataset ecosystem dedicated to mathematical spatial reasoning in Multimodal Large Language Models (MLLMs). It provides 10,000 problems with 26,000+ geometric diagrams… See the full description on the dataset page: https://huggingface.co/datasets/AnnieLKY/MathSpatial.math_shepherd
Math-Shepherd Dataset
Summary
The Math-Shepherd dataset is a processed version of Math-Shepherd dataset, designed to train models using the TRL library for stepwise supervision tasks. It provides step-by-step solutions to mathematical problems, enabling models to learn and verify each step of a solution, thereby enhancing their reasoning capabilities.
Data Structure
Format: Standard
Type: Stepwise supervision
Columns:
"pompt": The problem statement.… See the full description on the dataset page: https://huggingface.co/datasets/trl-lib/math_shepherd.MathSpatialMathSpatial
Do MLLMs Really Understand Space? A Mathematical Spatial Reasoning Evaluation
Submitted to ACM Multimedia 2026 — Dataset Track
Overview •
Key Findings •
Statistics •
Getting Started •
Annotations •
Leaderboard
Overview
MathSpatial is a large-scale, open dataset ecosystem dedicated to mathematical spatial reasoning in Multimodal Large Language Models (MLLMs). It provides 10,000 problems with 26,000+ geometric diagrams, covering… See the full description on the dataset page: https://huggingface.co/datasets/shuolucs/MathSpatial.Math-Step-DPO-10K
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
🖥️Code | 🤗Data | 📄Paper
This repo contains the Math-Step-DPO-10K dataset for our paper Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs, Step-DPO is a simple, effective, and data-efficient method for boosting the mathematical reasoning ability of LLMs. Notably, Step-DPO, when applied to Qwen2-72B-Instruct, achieves scores of 70.8% and 94.0% on the test sets of MATH and GSM8K… See the full description on the dataset page: https://huggingface.co/datasets/xinlai/Math-Step-DPO-10K.math_syntMath-Shepherd
Dataset Card for Math-Shepherd
Project Page: Math-Shepherd
Paper: https://arxiv.org/pdf/2312.08935.pdf
Data Loading
from datasets import load_dataset
dataset = load_dataset("peiyi9979/Math-Shepherd")
Data Instance
Every instance consists of three data fields: "input," "label," and "task".
"input": problem + step-by-step solution, e.g.,
If Buzz bought a pizza with 78 slices at a restaurant and then decided to share it with the waiter in the ratio of 5:8, with… See the full description on the dataset page: https://huggingface.co/datasets/peiyi9979/Math-Shepherd.