DATASET MERGE TEXT COLUMNS

Concatenates multiple text columns in a dataset into a single new column, joining values with a configurable delimiter. Use this worker when you need to combine string fields (e.g., ID + label + category) into one merged text column for downstream processing or reporting.

When to use

Classification: process.

Tagged: columns, concatenate, dataset, merge, string, text, transformation.

Inputs

Label ID Type Default Required Description
Dataset dataset_1 dataset   Input dataset containing the text columns to be merged; must be a tabular dataset object available in the workflow context.
Columns to Merge col_name scalar   One or more column names from dataset_1 whose text values will be concatenated together; select multiple columns in the desired merge order.
New Col new_col scalar MergedText   Name assigned to the output merged column; defaults to ‘MergedText’ if left unchanged.
Delimiter delimiter scalar ,   Character or string inserted between each merged column value (e.g., ‘,’ for comma-separated); defaults to ‘,’ if left unchanged.

Outputs

Label ID Type Description
Merged Dataset merged_dataset dataset Copy of the input dataset with the additional merged text column appended, named according to the new_col parameter.

Disciplines

  • 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_merge_text_columns


Auto-generated from transformation schema. Worker id: dataset_merge_text_columns. Schema hash: 0005daabacc2. Hand-curated docs in workerexamples/ override this page when present.