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Preparing a good dataset is not just about annotating data: it's about understanding the context, setting clear goals, choosing the right formats, and ensuring quality at every stage. In this section, you will find downloadable guides designed to guide you step by step, whether you are an AI project leader, data engineer or annotator. Based on our field experience, these documents cover best practices, pitfalls to avoid, and concrete tips for optimizing your data sets.
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