# Metadata Metadata is a description of your dataset. It helps the library understand the type and format of your data, so that it can apply the correct metrics. {% hint style="danger" %} If the metadata is incorrect, this library may apply the wrong metrics to your data which leads to inaccurate scores. {% endhint %} Your metadata includes: * The type of data that each column represents * The primary keys and other identifiers of the table * The relationships between the tables, if you have multiple tables {% hint style="success" %} Write your metadata once and use it anywhere in the SDMetrics library. If you used the SDV library to create your metadata, you can reuse the same file for SDMetrics. {% endhint %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.sdv.dev/sdmetrics/getting-started/metadata.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.