• text

Coding prompt-response pairs dataset

Updated May 7, 2025

This 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
    Read the case study
    case study complex multimodal dataset
  • 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
    Read the case study
    case study specialized-fine-tuning-dataset
Item 1 of 2

Access the coding prompt-response pairs dataset

Connect with our experts for pricing and samples.

Request the dataset