Data Governance
Understand how data should be collected, documented, reviewed, licensed, and responsibly used within Axomiya AI Foundry.
Responsible data governance is important for building trustworthy Assamese AI resources. Data should have clear provenance, appropriate permissions, useful documentation, and a defined purpose.
Data provenance
Every dataset or contributed resource should provide enough information to understand where the data came from and how it was collected.
When possible, contributors should document the source, collection method, relevant dates, transformations, and known limitations.
Consent and permissions
Contributors are responsible for ensuring that submitted material can legally and ethically be shared for its intended purpose.
Personal, private, sensitive, or restricted information should not be submitted without an appropriate basis and permission.
Licensing
Datasets and resources should clearly state the applicable license or usage terms whenever possible.
Users should review the license and any additional restrictions before downloading, modifying, redistributing, or using a resource.
Quality and documentation
Useful metadata and documentation make datasets easier to understand, evaluate, reproduce, and responsibly reuse.
Known limitations, potential biases, collection constraints, and important processing steps should be documented whenever relevant.
Responsible use
Resources published by Axomiya AI Foundry should be used responsibly and within the permissions and limitations associated with the resource.
Users should evaluate whether a dataset or model is appropriate for their specific application rather than assuming that every resource is suitable for every purpose.