Graduate Entrance Exam Mathematics Multi-Step Question Answering Dataset

#Multi-hop question answering #Mathematical reasoning #Step-by-step solution generation #Reasoning SFT #Graduate exam preparation #Math tutoring #Educational AI training #Math problem-solving evaluation

4650
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset contains graduate entrance exam mathematics questions paired with reference solutions, covering problems that require connecting conditions, relevant theorems, and calculations across multiple steps. Each sample includes the original question, a worked solution, and ordered reasoning steps to support learning the path from problem analysis to a final result. It is suitable for exam preparation, reasoning-focused SFT, and mathematical problem-solving evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
question_text	string	The original graduate entrance exam mathematics question, including its conditions and requested result.
reasoning_steps	array	Ordered steps connecting the problem conditions to mathematical results, calculations, and the solution.
reference_solution	string	The worked answer, including relevant theorems, calculations, and the final result.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: Each sample includes an original graduate entrance exam mathematics question, a reference solution, and ordered reasoning steps covering the problem conditions, relevant mathematical results, calculations, and final answer.

Which model capabilities can it support?: It can support training in condition analysis, theorem and calculation chaining, step-by-step solution generation, and multi-hop question answering. It can also be used to evaluate mathematical reasoning.

What are the dataset size and file format?: The available information does not specify the sample count or delivery format. Check the product listing or delivery documentation for those details. The described fields include question text, reference solutions, and reasoning steps.

How can I access the data, and what are the licensing terms?: Refer to the product listing for access options, pricing, and license terms. Confirm that the license covers your intended training, evaluation, or commercial use before deployment.

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Cite this Work

@dataset{Mobiusi2026,
  title={Graduate Entrance Exam Mathematics Multi-Step Question Answering Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/4253f01da6a83249e6e8d79b93fa301c},
  urldate={2026-10-22},
  keywords={graduate exam math dataset,math question answering,step-by-step math solutions,mathematical reasoning data,multi-hop QA dataset,reasoning SFT data,exam preparation AI,math problem-solving evaluation},
  version={1.0}
}

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