Resume Dataset

Resume datasets are crucial for developing AI-powered tools to automate tasks like resume screening and job matching. Current research focuses on creating larger, more diverse datasets to improve the accuracy of models, often employing large language models (LLMs) like BERT and transformer-based architectures for classification and information extraction. These advancements aim to enhance the efficiency and effectiveness of recruitment processes, reducing manual effort and improving candidate selection. Data augmentation and contrastive learning techniques are also being explored to address data sparsity issues inherent in resume-job matching datasets.