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- Math word problems Q&A dataset
Math word problems Q&A dataset
Updated May 7, 2025This dataset of over 6,000 question-answer pairs is designed to enhance quantitative reasoning for AI models. Spanning a wide range of topics like percentages, geometry and data interpretation, it features multiple-choice questions, accurate answers and detailed explanations.
Specifications
- Modalities
- Text
- Language
- English
- Licensable
- Yes
- Volume
- 6,000+
- Average token per PRP
- 147
- Number of tokens
- 994,772
- Task category
- Questions & Answers
- Domain
- Mathematics
- Source
- Licensed
- Complexity
- 3 levels ranging from moderate to very hard
Accelerate model development & training processes
Precise and detailed
The dataset is created with specific attention to reasoning accuracy and clarity, with optional explanations that outline the logic and formulae used to arrive at solutions.
Structured for reasoning gains
The dataset Q&As include clear problem statements, accurate responses and breakdowns of the solution to help ensure AI training learning effectiveness.
Comprehensive topic coverage
Topics to improve data interpretation abilities include percentages, profit and loss, simple and compound interest, averages, and interpretation of charts and graphs.
Explore our success stories
Discover how our off-the-shelf science, technology, engineering and mathematics (STEM) dataset contributed to enhancing scientific reasoning and visual processing capabilities in a chatbot model crafted by a leading-edge tech and AI company.Read moreOutcome Spotlight
4,485Physics prompt-response pairs9,606Math prompt-response pairs8,341Chemistry prompt-response pairs7,771Biology prompt-response pairs
Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).Read moreOutcome Spotlight
50KSTEM-based prompt-response pairs created300Highly-skilled contributors
- Discover how our off-the-shelf science, technology, engineering and mathematics (STEM) dataset contributed to enhancing scientific reasoning and visual processing capabilities in a chatbot model crafted by a leading-edge tech and AI company.Read more
Outcome Spotlight
4,485Physics prompt-response pairs9,606Math prompt-response pairs8,341Chemistry prompt-response pairs7,771Biology prompt-response pairs - Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).Read more
Outcome Spotlight
50KSTEM-based prompt-response pairs created300Highly-skilled contributors
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