Datasets

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`)

Dataset formats

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"}

With images (multimodal):

{"messages": [{"role": "user", "content": [{"type": "text", "text": "Describe this image"}, {"type": "image", "url": "data:image/jpeg;base64,/9j/4AAQ..."}]}], "completion": "A photo of a cat sitting on a desk."}

Use content as a list of parts to interleave text and images. Each image must be a base64 data URI (JPEG, PNG, WebP, or GIF, up to 10 MB each). External URLs are not supported.

Dataset vs chat image format

Datasets and the chat API use different image schemas:

# Dataset format
{"type": "image", "url": "data:image/jpeg;base64,..."}

# Chat API format (see Models page)
{"type": "image_url", "image_url": "data:image/jpeg;base64,..."}

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

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Dataset formats

Upload a dataset

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​Dataset formats

​Upload a dataset

Upload a dataset

Dataset formats

Upload a dataset