> For the complete documentation index, see [llms.txt](https://docs.graviti.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graviti.com/guide/opendataset/get.md).

# Search for Datasets

## **Search by Keywords** <a href="#id-2" id="id-2"></a>

> **Search for datasets with keywords**

* Approximate Search
* Associative-keywords Search on search bar

![](/files/-MWY4W9kRBBz-YTnuu8D)

## **Multiple Methods for Filtering and Sorting** <a href="#id-1" id="id-1"></a>

### **Filter Datasets** <a href="#id-2-1" id="id-2-1"></a>

> Mult&#x69;**-**&#x64;imensional Filtering

* 50+ Application Scenarios
* 30+ Annotation Types
* 10+ Mainstream Data Formats

### **Filtering and Sorting Search Results**  <a href="#id-2-2" id="id-2-2"></a>

> Multiple Sorting Methods

* Overall
* most popular
* newest

### **Browse Dataset List Page** <a href="#id-2-3" id="id-2-3"></a>

> Basic Dataset Information At A Glance

* Data Formats
* Annotation Types
* Views
* Data Volume
* License

![](/files/-MWY4f905cZkoqMJooU2)

## **Precise Locating** <a href="#id-3" id="id-3"></a>

### **Dataset Structured Descriptions** <a href="#id-3-1" id="id-3-1"></a>

* Dataset Information
* General
* Copyright Owner
* Annotator

### **Preview Data Online** <a href="#id-3-2" id="id-3-2"></a>

> **Dataset information at a glance without having to download or write code.**

* Original Data
* Annotations
* Label Distribution

### **Learn More about Datasets** <a href="#id-3-3" id="id-3-3"></a>

* Overview
* Data Collection
* Data Annotation
* Data Format
* Errata
* Citation

### **Similar Datasets** <a href="#id-3-4" id="id-3-4"></a>

> **Explore More Relevant Datasets**

<br>


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.graviti.com/guide/opendataset/get.md?ask=<question>
```

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.