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https://github.com/Mintplex-Labs/langchain-python.git
synced 2026-08-27 01:15:22 -04:00
Ingo Kleiber
fd9975dad7
I've added a simple [CoNLL-U](https://universaldependencies.org/format.html) document loader. CoNLL-U is a common format for NLP tasks and is used, for example, in the Universal Dependencies treebank corpora. The loader reads a single file in standard CoNLL-U format and returns a document.
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""Load CoNLL-U files."""
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import csv
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from typing import List
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from langchain.docstore.document import Document
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from langchain.document_loaders.base import BaseLoader
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class CoNLLULoader(BaseLoader):
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"""Load CoNLL-U files."""
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def __init__(self, file_path: str):
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"""Initialize with file path."""
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self.file_path = file_path
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def load(self) -> List[Document]:
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"""Load from file path."""
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with open(self.file_path, encoding="utf8") as f:
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tsv = list(csv.reader(f, delimiter="\t"))
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# If len(line) > 1, the line is not a comment
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lines = [line for line in tsv if len(line) > 1]
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text = ""
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for i, line in enumerate(lines):
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# Do not add a space after a punctuation mark or at the end of the sentence
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if line[9] == "SpaceAfter=No" or i == len(lines) - 1:
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text += line[1]
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else:
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text += line[1] + " "
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metadata = {"source": self.file_path}
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return [Document(page_content=text, metadata=metadata)]
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