
Selective Subset Labeling: Building Targeted Benchmarks Within Large Corpora
Selective subset labeling is a method of creating benchmarks in large data sets.
Companies can optimize machine learning models by focusing on subsets of data. This method ensures accuracy and reduces the time and resources required to annotate data.
Key Takeaways
* Selective subset labeling is a method for optimizing machine