Information

This description file relates to method dict_transforms.

Documentation for dict_transforms

Functionality

The function adds a text column to a dataset. It uses a transform to create a text string from each row. By default, it uses the get_text_line_from_dict function.

Parameters

• examples: A Dataset object containing row data.
• transform: A callable to derive a text string from a row. The default is get_text_line_from_dict.
• text_values_name: The name of the text column. Defaults to "text".

Usage

• Purpose: Automatically add a text column to a dataset.

Example

Import the function and apply it to a dataset:

from embedding_studio.embeddings.data.transforms.dict.transforms import dict_transforms

# Assume 'dataset' is a Dataset object
updated_dataset = dict_transforms(dataset)
print(updated_dataset["text"])