Datasets - Adaptive ML Documentation

Datasets contain examples for training and evaluating models. Upload them as JSONL files.

Upload a dataset

adaptive.datasets.upload(
    file_path="training-data.jsonl",
    dataset_key="customer-support-v1",
)

Parameter	Type	Required	Description
`file_path`	str	Yes	Path to JSONL file
`dataset_key`	str	Yes	Unique identifier
`name`	str	No	Display name (defaults to `dataset_key`)

Each line in your JSONL file must follow one of these schemas:Prompts and completions (most common):

{"messages": [{"role": "user", "content": "Hello"}], "completion": "Hi there!"}

Prompts only (for evaluation with generated completions):

{"messages": [{"role": "user", "content": "Hello"}]}

With feedback metrics (for training on ratings):

{"messages": [...], "completion": "...", "feedbacks": {"quality": 0.8, "helpful": true}}

With preferences (for RLHF/DPO training):

{"messages": [...], "preferred_completion": "Good answer", "other_completion": "Bad answer", "feedback_key": "quality"}

Add optional labels or metadata fields to any format for filtering or custom graders.See SDK Reference for all dataset methods.