Dataset Glossary

Plain-English definitions for dataset, schema, and AI data engineering terms used across this site.

A

API Endpoint

A URL that returns structured data programmatically instead of a rendered web page.

C

CSV

Comma-Separated Values -- a flat, row-and-column text format that opens directly in spreadsheet software.

D

Data Enrichment

Adding extra fields or context to existing records, usually by combining a dataset with another source.

Data Licensing

The terms under which a dataset can be used, resold, or redistributed -- defined per product, not assumed.

Data Normalization

Cleaning and standardizing values so the same kind of data always looks the same way across a dataset.

Dataset

A structured collection of related data, organized so it can be queried, exported, or published as a standalone product.

J

JSON

JavaScript Object Notation -- a lightweight, nested text format for structured data, and the canonical content format used across DatasetsBuilder.com.

K

Knowledge Base

A structured collection of facts or documents an AI system or support tool can reference when answering questions.

M

Metadata

Data about the data: source, license, last-updated date, and field definitions, not the records themselves.

R

RAG-Ready

Data formatted so it can be chunked, embedded, and retrieved cleanly by a retrieval-augmented generation (RAG) system.

S

Schema

The defined structure of a dataset: field names, data types, and which fields are required.

Structured Data

Data organized into a consistent, predictable format -- fields and types are known in advance, unlike free-form text.

T

Training Data

Data used to train or fine-tune a machine learning model -- distinct from data a model retrieves at answer time.