Datasets are a new core feature in Phoenix that live alongside your projects. They can be imported, exported, created, curated, manipulated, and viewed within the platform, and should make a few flows much easier:
👉 Fine-tuning – you can now create a dataset based on conditions in the UI, or by manually choosing examples, then export these into csv or jsonl formats ready-made for fine-tuning APIs.
👉 Experimentation – external datasets can be uploaded into Phoenix to serve as the test cases for experiments run in the platform (more on this on Day 3!
For more details on using datasets see our documentation or example notebook!
📓 Docs
👩🍳 Cookbook
⭐️ Star Phoenix on GitHub