Datanets
Create a datanet
Input Metadata
Navigate to Model Datanets and select Create Datanet.
Enter the required metadata:
Name
Summary
Description (supports markdown)
Tags
Upload valid .md, .pdf, .txt and .docx files (maximum size: 5 MB, UTF-8 encoded for a submission).
Add relevant tags
Click Create to complete the process.

Upon creation, a draft Datanet is initialized and displayed.

Publish to Blockchain
After creation, datanet contract should be created onchain with fee payment.
Review the uploaded files under Unpublished Datanets, uploaded files can be deleted before Publish to Blockchain.
Click Publish to Blockchain
Review the details:
Datanet Name
Your OPEN balance
Deployment fee
Deployment fee is calculated based on the file size
Click Confirm & Create to initiate a wallet transaction
On success, the transaction hash is displayed and a confirmation popup appears.

On failure, an error modal appears (e.g., insufficient balance).

Files are parsed and datanet rows are generated using LLM, and all the generated rows are stored on-chain.
Review and Publish
Datanet owners can review the datanet rows and delete any unwanted entries.
Once all the rows are onchain, datanet can be published.

Your Datanet is now live, reusable, and trainable to any AI models within OpenLedger.

Datanet Versioning and Contributions
Metadata update: Only Summary, Description and Tags can be edited after creation.
File update: Uploading new files or modifying existing rows will create a new version and incur an applicable fee.

Contributions
Public Datanets allow file uploads via the Contribute button.
The owner can Approve or Reject submissions.
Approved submissions create a new on-chain version (e.g., AI_Model_V2).
On approval, Datanet owners are charged deployment fees for the new versions.
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