# Public SDV Datasets

The SDGym library includes a variety of public, demo datasets that you can use from benchmarking. These come from the overall SDV ecosystem.

These datasets are stored in a publicly readable S3 bucket created by DataCebo. For more information, see the [Dataset Format](/sdgym/customization/datasets/dataset-format.md) guide.

## Using the demo datasets in SDGym

SDGym is configured to use the demo datasets by default.

### Exploring Datasets

The default DatasetExplorer reads the SDV demo datasets. For more information, see the [Explore Datasets](/sdgym/customization/datasets/explore-datasets.md) guide.

```python
from sdgym import DatasetExplorer

explorer = DatasetExplorer()
summary = explorer.summarize_datasets(modality='single_table')
```

### Benchmarking

The benchmark functions are set to run on the recommended demo datasets by default. You can update these using the `sdv_datasets` parameter. For more information see the guide for [Running a Benchmark (AWS)](/sdgym/benchmarking/run/aws.md).

```python
import sdgym

results = sdgym.benchmark_single_table_aws(
    sdv_datasets=['adult', 'alarm', 'census', 'child', 'expedia_hotel_logs'],
    output_destination='s3://my_results_bucket/'
)
```


---

# 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/sdgym/customization/datasets/public-sdv-datasets.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.