# Text Splitter

*author: shiyu22*

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### Description

**Text splitter** is used to split text into chunk lists. 

> Refer to [Text Splitters](https://python.langchain.com/en/latest/modules/indexes/text_splitters.html) for the operation of splitting text.

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### Code Example

```Python
from towhee import pipe, ops, DataCollection

p = (
    pipe.input('url')
        .map('url', 'text', ops.text_loader())
        .flat_map('text', 'text', ops.text_splitter())
        .output('url', 'text')
    )

res = p('https://github.com/towhee-io/towhee/blob/main/README.md')
DataCollection(res).show()
```

<img src="./result.png" alt="result" height="200px"/>

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## Factory Constructor

Create the operator via the following factory method

***towhee.text_loader(type='RecursiveCharacter', chunk_size=300)***

**Parameters:**

​	***type***: str

​	The type of splitter, defaults to 'RecursiveCharacter'. You can set this parameter in ['[RecursiveCharacter](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/recursive_text_splitter.html)', '[Markdown](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/markdown.html)', '[PythonCode](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/python.html)', '[Character](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/character_text_splitter.html#)', '[NLTK](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/nltk.html)', '[Spacy](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/spacy.html)', '[Tiktoken](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/tiktoken_splitter.html)', '[HuggingFace](https://python.langchain.com/en/latest/modules/indexes/text_splitters/examples/huggingface_length_function.html)'].

​    ***chunk_size***: int

​	The maximum size of chunk, defaults to 300.

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### Interface

The operator split incoming the text and return chunks.

**Parameters:**

​	***data***: str

​	The text data.



**Return**: List[Document]

A list of the chunked document.