Data Sampling And Stratification

via “multimodal dataset sampling and stratification for balanced model training”

Dataset by mlfoundations. 10,34,415 downloads.

Unique: Enables stratified sampling across document types and content properties at scale, allowing researchers to control training data distribution — most large datasets provide raw access without built-in stratification mechanisms

vs others: More flexible than fixed dataset splits; enables targeted evaluation on specific document categories; supports research on dataset bias and distribution effects

via “data-sampling-for-annotation”

via “efficient data sampling and subset creation”