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HDF5 (Hierarchical Data Format v5)

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Key innovation
A hierarchical, self-describing format for efficient, portable storage of large numeric data.
Category
Other
Abstraction level
Building block
Operation level
TrainingSystem

How it works

An HDF5 file has a filesystem-like structure: groups (like directories) contain datasets (arrays) and attributes. The library lets you read/write arbitrary slices without loading the whole file, apply compression and chunking, and stay portable across languages (C, Python/h5py and others).

Problem solved

Large, multimodal data (images, point clouds, time series) must be stored efficiently, with metadata and fast partial reading, independent of platform.