From b2102b8cc492889fb4d91956a143a332a1b96c28 Mon Sep 17 00:00:00 2001 From: Antonio Lanza Date: Mon, 16 Dec 2024 20:53:15 +0100 Subject: [PATCH] text-splitters: Inconsistent results with `NLTKTextSplitter`'s `add_start_index=True` (#27782) This PR closes #27781 # Problem The current implementation of `NLTKTextSplitter` is using `sent_tokenize`. However, this `sent_tokenize` doesn't handle chars between 2 tokenized sentences... hence, this behavior throws errors when we are using `add_start_index=True`, as described in issue #27781. In particular: ```python from nltk.tokenize import sent_tokenize output1 = sent_tokenize("Innovation drives our success. Collaboration fosters creative solutions. Efficiency enhances data management.", language="english") print(output1) output2 = sent_tokenize("Innovation drives our success. Collaboration fosters creative solutions. Efficiency enhances data management.", language="english") print(output2) >>> ['Innovation drives our success.', 'Collaboration fosters creative solutions.', 'Efficiency enhances data management.'] >>> ['Innovation drives our success.', 'Collaboration fosters creative solutions.', 'Efficiency enhances data management.'] ``` # Solution With this new `use_span_tokenize` parameter, we can use NLTK to create sentences (with `span_tokenize`), but also add extra chars to be sure that we still can map the chunks to the original text. --------- Co-authored-by: Erick Friis Co-authored-by: Erick Friis --- libs/text-splitters/Makefile | 3 + .../langchain_text_splitters/nltk.py | 36 +- .../sentence_transformers.py | 2 +- libs/text-splitters/poetry.lock | 1720 ++++++++++++++++- libs/text-splitters/pyproject.toml | 41 +- .../test_nlp_text_splitters.py | 56 +- .../integration_tests/test_text_splitter.py | 17 +- 7 files changed, 1848 insertions(+), 27 deletions(-) diff --git a/libs/text-splitters/Makefile b/libs/text-splitters/Makefile index 7a5037b6a04..f806ab5f97b 100644 --- a/libs/text-splitters/Makefile +++ b/libs/text-splitters/Makefile @@ -9,6 +9,9 @@ TEST_FILE ?= tests/unit_tests/ test tests: poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE) +integration_test integration_tests: + poetry run pytest tests/integration_tests/ + test_watch: poetry run ptw --snapshot-update --now . -- -vv -x tests/unit_tests diff --git a/libs/text-splitters/langchain_text_splitters/nltk.py b/libs/text-splitters/langchain_text_splitters/nltk.py index 4a38b1d419d..c80a347942e 100644 --- a/libs/text-splitters/langchain_text_splitters/nltk.py +++ b/libs/text-splitters/langchain_text_splitters/nltk.py @@ -9,23 +9,47 @@ class NLTKTextSplitter(TextSplitter): """Splitting text using NLTK package.""" def __init__( - self, separator: str = "\n\n", language: str = "english", **kwargs: Any + self, + separator: str = "\n\n", + language: str = "english", + *, + use_span_tokenize: bool = False, + **kwargs: Any, ) -> None: """Initialize the NLTK splitter.""" super().__init__(**kwargs) + self._separator = separator + self._language = language + self._use_span_tokenize = use_span_tokenize + if self._use_span_tokenize and self._separator != "": + raise ValueError("When use_span_tokenize is True, separator should be ''") try: - from nltk.tokenize import sent_tokenize + if self._use_span_tokenize: + from nltk.tokenize import _get_punkt_tokenizer - self._tokenizer = sent_tokenize + self._tokenizer = _get_punkt_tokenizer(self._language) + else: + from nltk.tokenize import sent_tokenize + + self._tokenizer = sent_tokenize except ImportError: raise ImportError( "NLTK is not installed, please install it with `pip install nltk`." ) - self._separator = separator - self._language = language def split_text(self, text: str) -> List[str]: """Split incoming text and return chunks.""" # First we naively split the large input into a bunch of smaller ones. - splits = self._tokenizer(text, language=self._language) + if self._use_span_tokenize: + spans = list(self._tokenizer.span_tokenize(text)) + splits = [] + for i, (start, end) in enumerate(spans): + if i > 0: + prev_end = spans[i - 1][1] + sentence = text[prev_end:start] + text[start:end] + else: + sentence = text[start:end] + splits.append(sentence) + else: + splits = self._tokenizer(text, language=self._language) return self._merge_splits(splits, self._separator) diff --git a/libs/text-splitters/langchain_text_splitters/sentence_transformers.py b/libs/text-splitters/langchain_text_splitters/sentence_transformers.py index 3b19c5edc59..2a42e3b9f8b 100644 --- a/libs/text-splitters/langchain_text_splitters/sentence_transformers.py +++ b/libs/text-splitters/langchain_text_splitters/sentence_transformers.py @@ -22,7 +22,7 @@ class SentenceTransformersTokenTextSplitter(TextSplitter): from sentence_transformers import SentenceTransformer except ImportError: raise ImportError( - "Could not import sentence_transformer python package. " + "Could not import sentence_transformers python package. " "This is needed in order to for SentenceTransformersTokenTextSplitter. " "Please install it with `pip install sentence-transformers`." ) diff --git a/libs/text-splitters/poetry.lock b/libs/text-splitters/poetry.lock index c1eae2b0198..101d8e9205c 100644 --- a/libs/text-splitters/poetry.lock +++ b/libs/text-splitters/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. 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"pytest", "spacy", "spacy.lang.en", "numpy",] +module = [ + "transformers", + "sentence_transformers", + "nltk.tokenize", + "konlpy.tag", + "bs4", + "pytest", + "spacy", + "spacy.lang.en", + "numpy", + "nltk", + "spacy.cli", + "torch", +] ignore_missing_imports = "True" [tool.poetry.urls] @@ -26,15 +39,18 @@ python = ">=3.9,<4.0" langchain-core = "^0.3.25" [tool.ruff.lint] -select = [ "E", "F", "I", "T201", "D",] -ignore = [ "D100",] +select = ["E", "F", "I", "T201", "D"] +ignore = ["D100"] [tool.coverage.run] -omit = [ "tests/*",] +omit = ["tests/*"] [tool.pytest.ini_options] addopts = "--strict-markers --strict-config --durations=5" -markers = [ "requires: mark tests as requiring a specific library", "compile: mark placeholder test used to compile integration tests without running them",] +markers = [ + "requires: mark tests as requiring a specific library", + "compile: mark placeholder test used to compile integration tests without running them", +] asyncio_mode = "auto" [tool.poetry.group.lint] @@ -53,19 +69,17 @@ optional = true convention = "google" [tool.ruff.lint.per-file-ignores] -"tests/**" = [ "D",] +"tests/**" = ["D"] [tool.poetry.group.lint.dependencies] ruff = "^0.5" - [tool.poetry.group.typing.dependencies] mypy = "^1.10" lxml-stubs = "^0.5.1" types-requests = "^2.31.0.20240218" tiktoken = "^0.8.0" - [tool.poetry.group.dev.dependencies] jupyter = "^1.0.0" @@ -78,20 +92,23 @@ pytest-watcher = "^0.3.4" pytest-asyncio = "^0.21.1" pytest-socket = "^0.7.0" +[tool.poetry.group.test_integration] +optional = true [tool.poetry.group.test_integration.dependencies] - +spacy = { version = "*", python = "<3.13" } +nltk = "^3.9.1" +transformers = "^4.47.0" +sentence-transformers = { version = ">=2.6.0", python = "<3.13" } [tool.poetry.group.lint.dependencies.langchain-core] path = "../core" develop = true - [tool.poetry.group.dev.dependencies.langchain-core] path = "../core" develop = true - [tool.poetry.group.test.dependencies.langchain-core] path = "../core" develop = true diff --git a/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py b/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py index b19e8bf86ec..7ebed6e54ae 100644 --- a/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py +++ b/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py @@ -1,18 +1,36 @@ """Test text splitting functionality using NLTK and Spacy based sentence splitters.""" +from typing import Any + +import nltk import pytest +from langchain_core.documents import Document from langchain_text_splitters.nltk import NLTKTextSplitter from langchain_text_splitters.spacy import SpacyTextSplitter +def setup_module() -> None: + nltk.download("punkt_tab") + + +@pytest.fixture() +def spacy() -> Any: + try: + import spacy + except ImportError: + pytest.skip("Spacy not installed.") + spacy.cli.download("en_core_web_sm") # type: ignore + return spacy + + def test_nltk_text_splitting_args() -> None: """Test invalid arguments.""" with pytest.raises(ValueError): NLTKTextSplitter(chunk_size=2, chunk_overlap=4) -def test_spacy_text_splitting_args() -> None: +def test_spacy_text_splitting_args(spacy: Any) -> None: """Test invalid arguments.""" with pytest.raises(ValueError): SpacyTextSplitter(chunk_size=2, chunk_overlap=4) @@ -29,7 +47,7 @@ def test_nltk_text_splitter() -> None: @pytest.mark.parametrize("pipeline", ["sentencizer", "en_core_web_sm"]) -def test_spacy_text_splitter(pipeline: str) -> None: +def test_spacy_text_splitter(pipeline: str, spacy: Any) -> None: """Test splitting by sentence using Spacy.""" text = "This is sentence one. And this is sentence two." separator = "|||" @@ -40,7 +58,7 @@ def test_spacy_text_splitter(pipeline: str) -> None: @pytest.mark.parametrize("pipeline", ["sentencizer", "en_core_web_sm"]) -def test_spacy_text_splitter_strip_whitespace(pipeline: str) -> None: +def test_spacy_text_splitter_strip_whitespace(pipeline: str, spacy: Any) -> None: """Test splitting by sentence using Spacy.""" text = "This is sentence one. And this is sentence two." separator = "|||" @@ -50,3 +68,35 @@ def test_spacy_text_splitter_strip_whitespace(pipeline: str) -> None: output = splitter.split_text(text) expected_output = [f"This is sentence one. {separator}And this is sentence two."] assert output == expected_output + + +def test_nltk_text_splitter_args() -> None: + """Test invalid arguments for NLTKTextSplitter.""" + with pytest.raises(ValueError): + NLTKTextSplitter( + chunk_size=80, + chunk_overlap=0, + separator="\n\n", + use_span_tokenize=True, + ) + + +def test_nltk_text_splitter_with_add_start_index() -> None: + splitter = NLTKTextSplitter( + chunk_size=80, + chunk_overlap=0, + separator="", + use_span_tokenize=True, + add_start_index=True, + ) + txt = ( + "Innovation drives our success. " + "Collaboration fosters creative solutions. " + "Efficiency enhances data management." + ) + docs = [Document(txt)] + chunks = splitter.split_documents(docs) + assert len(chunks) == 2 + for chunk in chunks: + s_i = chunk.metadata["start_index"] + assert chunk.page_content == txt[s_i : s_i + len(chunk.page_content)] diff --git a/libs/text-splitters/tests/integration_tests/test_text_splitter.py b/libs/text-splitters/tests/integration_tests/test_text_splitter.py index c88c5df6df1..94f687ba3b2 100644 --- a/libs/text-splitters/tests/integration_tests/test_text_splitter.py +++ b/libs/text-splitters/tests/integration_tests/test_text_splitter.py @@ -1,5 +1,7 @@ """Test text splitters that require an integration.""" +from typing import Any + import pytest from langchain_text_splitters import ( @@ -11,6 +13,15 @@ from langchain_text_splitters.sentence_transformers import ( ) +@pytest.fixture() +def sentence_transformers() -> Any: + try: + import sentence_transformers + except ImportError: + pytest.skip("SentenceTransformers not installed.") + return sentence_transformers + + def test_huggingface_type_check() -> None: """Test that type checks are done properly on input.""" with pytest.raises(ValueError): @@ -52,7 +63,7 @@ def test_token_text_splitter_from_tiktoken() -> None: assert expected_tokenizer == actual_tokenizer -def test_sentence_transformers_count_tokens() -> None: +def test_sentence_transformers_count_tokens(sentence_transformers: Any) -> None: splitter = SentenceTransformersTokenTextSplitter( model_name="sentence-transformers/paraphrase-albert-small-v2" ) @@ -67,7 +78,7 @@ def test_sentence_transformers_count_tokens() -> None: assert expected_token_count == token_count -def test_sentence_transformers_split_text() -> None: +def test_sentence_transformers_split_text(sentence_transformers: Any) -> None: splitter = SentenceTransformersTokenTextSplitter( model_name="sentence-transformers/paraphrase-albert-small-v2" ) @@ -77,7 +88,7 @@ def test_sentence_transformers_split_text() -> None: assert expected_text_chunks == text_chunks -def test_sentence_transformers_multiple_tokens() -> None: +def test_sentence_transformers_multiple_tokens(sentence_transformers: Any) -> None: splitter = SentenceTransformersTokenTextSplitter(chunk_overlap=0) text = "Lorem "