Machine learning models are trained with huge amounts of data and must be tested before practical use. For this, the data must first be divided into a larger training set and a smaller test set ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

The data set was split into training and held-out test sets, where 80% of the data were used in training and 20% were used for independent testing. ML models were developed using random forest ...

The RowGen engine synthesizes structurally valid test data across complex database schemas and custom file layouts. These improvements help teams simulate real-world workloads using test data ...