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- Biology Q&A text dataset
Biology Q&A text dataset
Updated May 7, 2025This curated biology text dataset features over 32,000 verified question-answer pairs from curriculum-based learning. Covering fundamental to advanced topics, the dataset includes multiple question formats across three levels of complexities, with answers and explanations.
Specifications
- Modalities
- Text
- Language
- English
- Licensable
- Yes
- Volume
- 32,000+
- Average token per PRP
- 135
- Number of tokens
- 4,437,903
- Task category
- Questions & Answers
- Domain
- Biology
- Source
- Licensed
- Complexity
- 3 levels ranging from moderate to very hard
Accelerate model development & training processes
Expertly-curated and verified data
We’ve curated this dataset to offer challenge-grade problems accompanied by step-by-step explanations to train and test models. The response data reflects the solution thought process to enhance model alignment with human reasoning.
Comprehensive topic coverage
Based on learning curricula with three difficulty levels and diverse question types, this dataset covers foundational to advanced topics such as photosynthesis in higher plants, respiratory systems and more.
Quality and formatting reviewed
The Q&As pass strict automated and expert-led checks for response accuracy, LaTeX formatting, solvability and language quality, ensuring consistent data reliability for your model development cycles.
Explore our success stories
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.Read moreOutcome Spotlight
4,485Physics prompt-response pairs9,606Math prompt-response pairs8,341Chemistry prompt-response pairs7,771Biology prompt-response pairs
Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).Read moreOutcome Spotlight
50KSTEM-based prompt-response pairs created300Highly-skilled contributors
- 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.Read more
Outcome Spotlight
4,485Physics prompt-response pairs9,606Math prompt-response pairs8,341Chemistry prompt-response pairs7,771Biology prompt-response pairs - Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).Read more
Outcome Spotlight
50KSTEM-based prompt-response pairs created300Highly-skilled contributors
Access the biology text Q&A dataset
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