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Logical reasoning Q&A dataset
Updated May 7, 2025This high-quality dataset of over 7,000 expert-generated logical reasoning question-answer pairs is structured across three difficulty levels. Each entry includes a multiple-choice question, a definitive answer, and an optional step-by-step explanation – ideal for training and benchmarking AI models.
Specifications
- Modalities
- Text
- Language
- English
- Volume
- 7,000+
- Average token per PRP
- 130
- Number of tokens
- 920,270
- Task category
- Questions & Answers
- Domain
- Reasoning
- Complexity
- 3 levels ranging from moderate to very hard
Accelerate model development & training processes
Comprehensive reasoning topics
Spanning 20 logical domains such as coding‑decoding, series tests, statement & assumptions, figure Classification, and direction & distance, this dataset ensures your AI models encounter the full spectrum of analytical challenges.
Real exam format alignment
Questions mirror the structure, difficulty and timing of competitive exams and aptitude tests. This alignment helps models simulate authentic test‑taking conditions, improving performance prediction and learner readiness.
Explore our success stories
Evaluating a conversational AI model with a highly complex multimodal STEM dataset
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.
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Improving large language model logic and reasoning with a specialized fine-tuning dataset
Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).
50KSTEM-based prompt-response pairs created
300Highly-skilled contributors
Evaluating a conversational AI model with a highly complex multimodal STEM dataset
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.
4485Physics prompt-response pairs
9606Math prompt-response pairs
Improving large language model logic and reasoning with a specialized fine-tuning dataset
Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).
50KSTEM-based prompt-response pairs created
300Highly-skilled contributors
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