Off-the-Shelf Datasets

Leverage our curated high-quality datasets designed to optimize the training and evaluation of large language models (LLMs), computer vision and audio AI models. Accessible, cost-effective and production-ready to integrate into your AI development.

Off-the-Shelf Datasets
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    High-quality data for various use cases

    Access expertly curated datasets spanning multiple industry use cases. Built to meet strict accuracy and quality standards, our datasets empower various AI and machine learning applications.

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    Updated for relevance and accuracy

    Ensure your models are trained on the most current and relevant data to keep your solutions sharp, accurate and competitive. Stay ahead with our continuously refreshed datasets.

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    Cost and time-effective

    A quick and affordable way to test, evaluate and benchmark AI models. Spend more time on model development and improvement and less time on collecting and structuring the data required.

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Case Studies

Explore our success stories

  • Curating high-quality data for the training and validation of ADAS and AV models

    An autonomous vehicle shown driving on a busy highway.

    Discover how TELUS Digital used our proven field operations testing (FOT) experience to create a high-quality dataset for training advanced driver assistance systems (ADAS) and autonomous vehicles (AV).

    • 12 TBdata captured daily

    • 7500 kmapproximate total distance covered

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  • 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).

    • 50 KSTEM-based prompt-response pairs created

    • 300 Highly-skilled contributors

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  • 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.

    • 4485 Physics prompt-response pairs

    • 9606 Math prompt-response pairs

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Insights

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