GUIs development to enhance developers' productivity.

With more than 4.5 million patent documents, HUPD is two to three times larger than comparable corpora.

However, existing music datasets suffer from limited size, accessibility, and lack of audio resources.

A central notion in practical and theoretical machine learning is that of a weak learner, classifiers that achieve better-than-random performance (on any given distribution over data), even by a small margin. Such weak learners form the practical basis for canonical machine learning methods such as boosting.

Datasets are key to all aspects of machine learning (ML) and data science, from the development of novel algorithms to training of production models.