Compress data

Reduce your data footprint by using advanced compression algorithms.

import litdata as ld

def compress(index):
    return index, index**2

if __name__ == "__main__":
    # Add some data
    ld.optimize(
        fn=compress,
        inputs=list(range(100)),
        output_dir="./my_optimized_dataset",
        chunk_bytes="64MB",
        num_workers=1,
        compression="zstd"
    )

Using zstd, you can achieve high compression ratio like 4.34x for this simple example.

Without	With
2.8kb	646b

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