TensorflowDatasetLoader

Example:

.. code-block:: python

from langchain_community.document_loaders import TensorflowDatasetLoader

def mlqaen_example_to_document(example: dict) -> Document: return Document( page_content=decode_to_str(example["context"]), metadata={ "id": decode_to_str(example["id"]), "title": decode_to_str(example["title"]), "question": decode_to_str(example["question"]), "answer": decode_to_str(example["answers"]["text"][0]), }, )

tsds_client = TensorflowDatasetLoader( dataset_name="mlqa/en", split_name="test", load_max_docs=100, sample_to_document_function=mlqaen_example_to_document, )