Description

A dataset is a collection of data used for machine learning tasks. It typically consists of a set of input-output pairs that the model uses to learn patterns and relationships. The quality, size, and diversity of a dataset can significantly impact the performance and generalization ability of a machine learning model. Datasets are often divided into training, validation, and test sets to facilitate model development and evaluation.

Examples

• 🖼️ ImageNet for image classification
• ✍️ MNIST for handwritten digit recognition
• 📚 Penn Treebank for natural language processing

Applications