Add Data Using SDK

An ideal for automating data ingestion, managing large datasets, and integrating with external workflows.

By adding data using the SDK, you can:

• Create new datasets programmatically.
• Add structured data efficiently.
• Automate dataset updates.
• Seamlessly integrate with Future AGI’s data processing pipeline.

​

1. Accessing the SDK Integration Panel

To add data using the SDK:

1. Go to the “Datasets & Experiments” Section
   • Navigate to the Datasets page from the main dashboard.
   • Click on the “Add Dataset” button.
2. Select “Add Data Using SDK”

   • A pop-up will appear with various dataset creation methods.

   • Choose “Add Data Using SDK” to proceed.

​

2. Creating a Dataset

1. Enter a Dataset Name
   • A prompt appears asking for the dataset name.
   • Enter a clear, descriptive name
   • Click “Next” to proceed.
2. Review Dataset Creation Settings

   • The interface confirms the dataset setup before proceeding.

   • Click “Next” to generate the SDK integration code.

​

3. Generating SDK Integration Code

1. View Pre-Generated Code
   • The system generates ready-to-use SDK code in multiple languages:
     • Python
     • TypeScript
     • cURL
   • The code includes:
     • API key authentication.
     • Dataset creation command.
     • Methods for adding data.
2. Copy the Code

   • Select the preferred language.

   • Copy the snippet for use in your application.

​

4. Adding Data to the Dataset

1. Use the SDK Code to Add Data
   • Paste the copied SDK code into your development environment.
   • Replace any placeholder values if necessary.
   • Execute the script to send data to the dataset.
2. Confirm Data Upload

   • After execution, the dataset will be populated with the provided data.

   • The dataset will appear in the Datasets & Experiments list.

​

5. Viewing the Dataset

1. Navigate to the Dataset List
   • The newly created dataset is now visible in the Datasets panel.
   • Displays dataset details such as:
     • Name
     • Type (e.g., Generative)
     • Number of data points
     • Associated experiments and evaluations
2. Verify Data Entries

   • Click on the dataset name to inspect the added rows.

   • Check for correct formatting and structure.

Using the SDK, you can efficiently create and manage datasets in Future AGI. This method provides a scalable way to ingest, update, and automate data handling, making it suitable for AI-driven workflows and large-scale applications.