TensorFlow Datasets

TensorFlow Datasets (TFDS) is a library that provides a comprehensive collection of ready-to-use datasets for machine learning frameworks like TensorFlow, JAX, and PyTorch. It handles the complexities of downloading, preparing, and constructing data into `tf.data.Dataset` or `np.array` objects in a deterministic manner, enabling easy-to-use and high-performance input pipelines. The library maintains an active release cadence, with stable versions typically released every few months, alongside daily nightly builds.