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Social sciences Q&A dataset

Updated May 7, 2025

This curated social science dataset features over 2,000 verified multiple-choice question-answer pairs covering geography, history, sociology, business, law and psychology. It consists of varied question formats in multiple difficulty levels — ideal for training and benchmarking your AI models.

Specifications

Modalities
Text
Language
English
Volume
2,000+
Average token per PRP
168
Number of tokens
362,208
Task category
Question & Answer
Domain
Generalist
Complexity
3 levels ranging from moderate to very hard

Accelerate model development & training processes

  • Broad coverage with diverse formats

    Covering core disciplines like geography, history, sociology, business studies, commerce, legal studies and psychology, this dataset is well-suited for training AI models in educational applications, domain-specific tutoring systems and assessment tools.

  • Expertly-curated and verified data

    Created and reviewed by subject matter experts, this dataset includes match-the-following, timeline-based and scenario-driven reasoning question types in three difficulty levels. It also has detailed explanations for improving model accuracy and relevance.

  • Confidently train and evaluate models

    Structured for reasoning over factual knowledge, interpreting historical events and applying social science concepts, the dataset is perfect for training and evaluating AI models.

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Case Studies

Explore our success stories

  • Evaluating a conversational AI model with a highly complex multimodal STEM dataset

    Man using his mobile device with a chatbot illustration above the device.

    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

    Download case study
  • Improving large language model logic and reasoning with a specialized fine-tuning dataset

    Person working at a laptop holding a mobile phone with an overlaid illustration of LLM features.

    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

    Download case study

Access the social science Q&A dataset

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