- text
Coding prompt-response pairs dataset
Updated May 7, 2025This dataset of more than 1,700 expert-curated prompt-response pairs (PRPs) is designed to enhance code comprehension and generation capabilities in AI models. Spanning a wide range of programming languages, it presents a diverse mix of syntax and paradigms to ensure broad applicability across various coding styles and environments.

Specifications
- Modalities
- Text
- Language
- English
- Volume
- 1700+
- Average token per PRP
- 634
- Number of tokens
- 1,135,567
- Task category
- Prompt-response pairs
- Domain
- Coding
- Complexity
- 3 levels ranging from moderate to very hard
Accelerate model development & training processes
Still searching for the right dataset? We can help.
Reach out and we’ll guide you to the right solution.


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.
- 4485Physics 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

Insights
See allAccess the coding prompt-response pairs dataset
Connect with our experts for pricing and samples.
Request the dataset


