.. _auto_dataset_get_context: *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 ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - 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 ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - 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 `_ .. raw:: html

Auto-generated from transformation schema. Worker id: dataset_get_context. Schema hash: 5fed36c113d5. Hand-curated docs in workerexamples/ override this page when present.