datasetsize
Datasetsize is a measure of the amount of data in a dataset, described through multiple dimensions: the number of rows (records), the number of columns (features), and the on-disk or in-memory storage footprint. Row count reflects sample size, while column count reflects dimensionality. The storage size, typically expressed in bytes or higher units, depends on data types, encoding, and compression.
In practice, datasets are reported with row and column counts and with their on-disk size. When loaded
Dataset size has direct implications for processing and modeling. Larger datasets can improve generalization but require
Choosing storage formats and organization affects size and performance. Columnar formats like Parquet or ORC often
Practical considerations include reporting both row/column counts and storage size, accounting for compression, and selecting representations