# Data Management - [Upload Data](https://docs.allganize.ai/nlu-api-dashboard/data-management/upload-data.md): Get to know how to upload data to train/test model - [Set Data](https://docs.allganize.ai/nlu-api-dashboard/data-management/set-data.md): Understand how to set data for Training or Test - [Filter & Search](https://docs.allganize.ai/nlu-api-dashboard/data-management/filter-and-search.md): Get to learn how to find the dataset you want. - [Download Data](https://docs.allganize.ai/nlu-api-dashboard/data-management/download-data.md): Get to know how to download data on dashboard - [Named Entity Dictionary](https://docs.allganize.ai/nlu-api-dashboard/data-management/n-amed-entity-dictionary.md): Get to utilize Named Entity Dictionary - [Entities Settings](https://docs.allganize.ai/nlu-api-dashboard/data-management/entities-settings.md): Get to understand NER's entities setting menu - [Tree Classification Category Settings](https://docs.allganize.ai/nlu-api-dashboard/data-management/tree-classification-category-settings.md): Users who use Tree classification should refer to this menu. --- # 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.allganize.ai/nlu-api-dashboard/data-management.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.