# What is Datanet? OpenLedger facilitates specialized data collection to enhance the training and fine-tuning of domain-specific AI models. The platform ensures data credibility, transparency, and contributor incentives through a decentralized data attribution mechanism. ### What is Datanets? Datanets in OpenLedger refer to decentralized data networks that aggregate, validate, and distribute domain-specific datasets needed for each AI model training. They function as structured repositories where contributors provide high-quality data with verifiable attribution. These networks ensure a trustless and transparent mechanism for data contributions and access, enabling models to be trained with high-quality, validated data. --- # 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://openledger.gitbook.io/openledger/datanets-and-proof-of-attribution/what-is-datanet.md?ask= ``` 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.