Introducing Gretel Benchmark

Gretel Benchmark is a Python library for evaluating synthetic data algorithms on various datasets. It allows users to compare custom models and Gretel models, with features such as defining custom model interfaces, using Gretel models with default configurations, and providing publicly available datasets for testing purposes. The evaluation report includes metrics like data type, shape, Synthetic Data Quality Score (SQS), train time, generate time, and total runtime. Users can also access the Benchmark documentation and engage with the Gretel community through their Discord server.