langchain.document_loaders.tsv.UnstructuredTSVLoader

class langchain.document_loaders.tsv.UnstructuredTSVLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]

Load TSV files using Unstructured.

Like other Unstructured loaders, UnstructuredTSVLoader can be used in both “single” and “elements” mode. If you use the loader in “elements” mode, the TSV file will be a single Unstructured Table element. If you use the loader in “elements” mode, an HTML representation of the table will be available in the “text_as_html” key in the document metadata.

Examples

from langchain.document_loaders.tsv import UnstructuredTSVLoader

loader = UnstructuredTSVLoader(“stanley-cups.tsv”, mode=”elements”) docs = loader.load()

Initialize with file path.

Methods

__init__(file_path[, mode])

Initialize with file path.

lazy_load()

A lazy loader for Documents.

load()

Load file.

load_and_split([text_splitter])

Load Documents and split into chunks.

__init__(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]

Initialize with file path.

lazy_load() Iterator[Document]

A lazy loader for Documents.

load() List[Document]

Load file.

load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document]

Load Documents and split into chunks. Chunks are returned as Documents.

Parameters

text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

Examples using UnstructuredTSVLoader