December 2024
Intermediate to advanced
410 pages
8h 22m
English
This chapter highlights the importance of creating high-quality yet cost-effective training datasets.1 It also elucidates the curating of a dataset for NLP downstream tasks and explains the influence of high-quality annotations on the model’s training effectiveness.
This chapter provides a comprehensive guide on preparing a training dataset for NLP tasks, such as Healthcare Named Entity Recognition (NER), utilizing publicly available and open-for-use community-curated datasets from Hugging ...
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