DATASET GET CONTEXT¶
Resolves a context template string against a dataset, substituting dataset column values or metadata tokens to produce a filled-in text context. Use this worker when you need to generate a prompt, label, or descriptive string that is dynamically populated from dataset contents.
When to use¶
Classification: process.
Tagged: context, dataset, llm_context, substitution, template, text.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dataset | dataset_1 | dataset | — | Input dataset whose column values and metadata are used to populate the context template; leave empty if the template contains no dataset-dependent tokens. | |
| Context Template | context_text | textarea | — | Jinja-style or token-based template string (plain text / code) whose placeholders will be resolved against the supplied dataset to produce the final context output. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| Context | dataset_get_context_1 | textarea | Fully resolved context string produced by substituting all template tokens with values drawn from the input dataset; returned as plain text. |
Disciplines¶
- ai_ml.llm
- data.dataset.transform
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_get_context
Auto-generated from transformation schema. Worker id: dataset_get_context. Schema hash: 5fed36c113d5. Hand-curated docs in workerexamples/ override this page when present.