Upload Minimal Dataset

If you don’t have production traces but can provide a small set of labeled examples for your task, you can prepare a minimal structured dataset. You only need a few dozen high-quality examples that capture the essence of your task.

Your data directory needs the following files:

File	Format	Required	Description
job_description.json	JSON	Yes	Task description defining what the model should do
train.csv	CSV or JSONL	Yes	20+ labeled (question, answer) pairs
test.csv	CSV or JSONL	Yes	Held-out evaluation set
config.yaml	YAML	Yes	Training hyperparameters
unstructured.csv	CSV or JSONL	No	Domain-relevant text for synthetic data generation

distil model upload-data <model-id> --data ./data

For detailed formatting and structure requirements per task type, refer to:

• Question Answering data preparation →
• Classification data preparation →
• Tool Calling data preparation →
• Multi-Turn Tool Calling data preparation →
• Open Book QA (RAG) data preparation →
• Closed-Book QA data preparation →
• Creating the configuration file →