> For the complete documentation index, see [llms.txt](https://supercloudnow.gitbook.io/supercloudnow-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://supercloudnow.gitbook.io/supercloudnow-docs/undefined/usage-guide/datasets/basic/creation-of-dataset.md).
# Creation of Dataset
ShyftSearch enables users to create datasets directly from connected cloud storage or supported platforms, eliminating the need to manually navigate through all stored data. The data saved on cloud storage—whether in S3, Azure Blob, GCP, or other platforms—can be selectively accessed and presented in the ShyftSearch UI. This allows you to focus only on the required data without browsing the entire storage repository.
When creating a dataset, specify the exact directories or prefixes to include, ensuring only relevant files are ingested. Once created, datasets allow fast viewing, searching, and analysis without repeatedly scanning the full storage.
#### Actions Column
* **Show** : Opens the dataset for **browsing its files and directories**.
* Refresh
* Renew : Used to renew datasets that previously failed during processing.
* Delete : Used to **remove the selected** dataset from the list.
#### **Supported Storage Providers:**
* **S3 Datasets** – Supports **AWS S3** and other **S3-compatible storages**.
* **Azure Blob Datasets** – Enables dataset creation from **Microsoft Azure Blob Storage**.
* **GCP Datasets** – Allows connection to **Google Cloud Platform (GCP) storage**.
* **Local File Datasets** – Lets you import data directly from **local system files**.
* **Platform Datasets** – Provides access to datasets from supported different platforms, like:
* Splunk
* OpenSearch
* Databricks
#### **Key Fields for Dataset Creation**
* **Bucket Name**
* Enter the bucket name of your cloud storage that you want to connect with.
* **Prefix *****(optional)***
* Specify a path if you want to include files or directories at a specific location.\
Example: To include all files inside a `test` directory, enter:\
`prefix: test/`
* **Processing Config**
* Select the appropriate **Learning Pack** from the dropdown, based on your file paths and fields.
* **Source Cloud Config**
* Choose the **source of your data** from the available cloud connection configurations.
* **Destination Cloud Configs**
* Select the **destination cloud storage** where the dataset’s database files will be stored.
#### ⚙️ **Steps for Creating a New Dataset**
{% stepper %}
{% step %}
Navigate to the **Datasets** option in the top navigation bar.
{% endstep %}
{% step %}
**Click the**  **button to start creating a dataset.**
{% endstep %}
{% step %}
**In the dialog box that appears, provide all required details.**
{% endstep %}
{% step %}
**Click Save Dataset to complete the creation process.**
{% endstep %}
{% endstepper %}
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