If you are building AI solutions, one of the first things you need is datasets. These are structured collections of data that AI models learn from, such as text, audio, or scientific information. They are essential for training, testing, and improving AI systems.

The current BSC AIF dataset catalogue helps you accelerate AI development with immediate access to high quality, ready to use data. By reducing the time and cost of data collection and preparation, you can bring products to market faster, improve performance, and scale more efficiently.

The data catalogue is especially valuable for building language-based AI systems. It includes parallel text datasets for machine translation, speech datasets for voice recognition and text-to-speech, evaluation benchmarks to measure reasoning, bias, and response quality, and conversational and classification datasets for chatbots, virtual assistants, customer support automation, and text analysis tools.

By using these ready-to-use resources, you reduce the time and cost of data collection and preparation, speed up development cycles, and improve model performance and reliability. This enables you to bring multilingual applications, AI assistants, and customer-facing digital services to market faster and at scale.

The BSCAIF data catalogue continues to expand across strategic sectors, including climate, geospatial, and health technologies, with new datasets regularly added to support emerging business and research needs.