WarpPipes

WarpPipes build on a concept called Pipe. It is a powerful and versatile class that forms the core of many HuggingFace Dataset operations.

With Pipe, you can easily

• rename and remove columns.
• apply processing functions to each example in a dataset.
• concatenate datasets.
• apply custom formatting transformations.

All pipes inherit the fingerprintable class, which extends their capabilities with features such as safe serialization, multiprocessing, and caching. This makes the performance of WarpPipes very fast and data transformations seamlessly.

With WarpPipes, users can wrap an arbitrary number of pipes into a single Pipeline, providing flexibility and control over their data processing.

To better understand the capability of Pipe, let's explore some examples.