Benchmark datasets are standardized datasets used to evaluate and compare the performance of machine learning models, ensuring consistent and fair assessments across different studies. They provide a common ground for researchers to validate their models and facilitate progress by highlighting strengths and weaknesses in algorithmic approaches.