datasets

Why we included this project

Data prep is the unglamorous part of ML work, and this library makes it a lot less painful. You call load_dataset() once and it pulls in thousands of public datasets from the Hugging Face Hub, from text and images to audio, video, and even agent traces. The map() API handles preprocessing with caching and parallelism across CSV, JSON, Parquet, Arrow, and other formats, and the Apache Arrow backend keeps memory usage reasonable even for large corpora. It converts natively to NumPy, Pandas, Polars, PyTorch, TensorFlow, and JAX, so it slots into whatever stack you already use. For teams building reproducible data pipelines, or researchers comparing models on standard benchmarks, it's a dependable part of the stack rather than a one-off utility.