Skip to content
Glossary

Data Set

A collection of data, often structured in a table with rows for records and columns for variables.
Definition

A data set, or dataset, is an organized collection of structured data, where each row typically represents a unique instance or entity (such as a person, object, or event), and each column represents a specific attribute or variable related to the entities. The structure of a data set allows for efficient storage, access, and analysis of data.

Data sets can vary in size from small personal databases to large-scale databases used in institutional research. The variables can be of different types, such as numerical, categorical, or textual, and can vary in complexity from simple values to multi-dimensional arrays. Data sets are fundamental in computing and data analysis tasks, serving as the basis for statistical analysis, machine learning models, data visualization, and decision-making processes.

Examples/Use Cases:

In a research study on human health, a data set might include variables such as age, gender, height, weight, blood pressure, and cholesterol levels for each participant. Each row in the data set would represent a different participant, and each column would represent one of the variables being studied. Researchers can analyze this data set to identify patterns, correlations, and potential risk factors associated with various health outcomes.

In machine learning, a data set is divided into training and test sets. The training set is used to train a model to recognize patterns or make predictions, while the test set is used to evaluate the model's accuracy and generalizability to new, unseen data.

Related Terms
← Back to Glossary

Need human evaluators for your AI research? Scale annotation with expert AI Trainers.