How do I handle version control for datasets used in AI model development

Question

I am facing a issue with handle version can you tell me How do I handle version control for datasets used in AI model development?

Answer 1

To handle version control for datasets in AI model development, use tools like DVC (Data Version Control) or Git LFS (Large File Storage) to track dataset changes, manage versions, and ensure reproducibility.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Track dataset versions with DVC or Git LFS.
• Store large datasets externally (e.g., S3, Google Drive).
• Ensure reproducibility of models by tracking dataset versions alongside code.