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- Visual question answering dataset
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Visual question answering dataset
Updated May 7, 2025This dataset of more than 1,000 multi-domain visual question-answer pairs is designed to improve the multimodal capabilities of AI models. It includes image-based questions, detailed answers and expert explanations across science, business, health and medicine.
Specifications
- Modalities
- Image, text
- Language
- English
- Licensable
- Yes
- Volume
- 1000+
- Average token per PRP
- 286
- Number of tokens
- 286,000
- Task category
- Visual Question-Answering
- Domain
- Science, Business, Health & Medicine
- Source
- Expert-generated
- Complexity
- 3 levels ranging from moderate to very hard
Accelerate model development & training processes
Quality-focused curation
The dataset is curated to ensure a highly effective, high-quality set of visual question-answer pairs that can improve multimodal AI training and benchmarking.
Comprehensive topic coverage
The visual quesiton-answer set spans diverse subject matter, with a strong focus on science, business, health and medicine, to add depth and complexity to multimodal understanding.
Created by qualified experts
Our datasets are created by verified subject matter experts, including individuals with Masters degrees and holding PhDs, with a stringent quality process to ensure accuracy and domain-relevant explanations.
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.
4485 Physics prompt-response pairs
9606 Math 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).
50 KSTEM-based prompt-response pairs created
300 Highly-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.
4485 Physics prompt-response pairs
9606 Math 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).
50 KSTEM-based prompt-response pairs created
300 Highly-skilled contributors
Access the visual question answering dataset
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