A dataset format defines the structure and encoding rules for organizing data, enabling consistent storage, exchange, and analysis. Common examples include CSV, JSON, and Parquet. It dictates how information is labeled, typed, and nested, ensuring software can parse it accurately. Data scientists, engineers, and analysts rely on standardized formats to streamline machine learning pipelines, reduce errors, and ensure interoperability across diverse tools and platforms.
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