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Reasoning prompt-response pairs dataset
Updated May 7, 2025This set of more than 700 prompt-response pairs (PRPs) is designed to develop and evaluate core reasoning abilities in language models. Focused on fostering abstract thinking, logical deduction and conceptual clarity, the dataset presents a diverse range of problem formats and multi-step inference tasks.

Specifications
- Modalities
- Text
- Language
- English
- Licensable
- Yes
- Volume
- 700+
- Average token per PRP
- 382
- Number of tokens
- 272,991
- Task category
- Prompt-response pairs
- Domain
- Reasoning
- Source
- Expert-generated
- Complexity
- 3 levels ranging from moderate to very hard
Accelerate model development & training processes
Diverse reasoning challenges
Each entry presents a carefully crafted reasoning scenario designed to engage and test a model’s ability to think critically and apply logic across domains.
Broad topic coverage
Spanning topics such as arithmetic, equations, inductive reasoning, empathy and problem solving, the dataset helps models simulate both mathematical and human-like reasoning patterns.
Real-world alignment
Scenarios are based on real-world tasks, like interpreting time-based sequences or resolving ambiguous math problems, enabling models to generalize from abstract logic to practical decision-making.

Explore our success stories
Evaluating a conversational AI model with a highly complex multimodal STEM dataset
4485 Physics prompt-response pairs
9606 Math prompt-response pairs
Improving large language model logic and reasoning with a specialized fine-tuning dataset
50 KSTEM-based prompt-response pairs created
300 Highly-skilled contributors
Evaluating a conversational AI model with a highly complex multimodal STEM dataset
4485 Physics prompt-response pairs
9606 Math prompt-response pairs
Improving large language model logic and reasoning with a specialized fine-tuning dataset
50 KSTEM-based prompt-response pairs created
300 Highly-skilled contributors
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