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feat: Add UnstructuredOrgModeLoader
(#6842)
### Summary Adds `UnstructuredOrgModeLoader` for processing [Org-mode](https://en.wikipedia.org/wiki/Org-mode) documents. ### Testing ```python from langchain.document_loaders import UnstructuredOrgModeLoader loader = UnstructuredOrgModeLoader( file_path="example_data/README.org", mode="elements" ) docs = loader.load() print(docs[0]) ``` ### Reviewers - @rlancemartin - @eyurtsev - @hwchase17
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* Example Docs
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The sample docs directory contains the following files:
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- ~example-10k.html~ - A 10-K SEC filing in HTML format
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- ~layout-parser-paper.pdf~ - A PDF copy of the layout parser paper
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- ~factbook.xml~ / ~factbook.xsl~ - Example XML/XLS files that you
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can use to test stylesheets
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These documents can be used to test out the parsers in the library. In
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addition, here are instructions for pulling in some sample docs that are
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too big to store in the repo.
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** XBRL 10-K
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You can get an example 10-K in inline XBRL format using the following
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~curl~. Note, you need to have the user agent set in the header or the
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SEC site will reject your request.
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#+BEGIN_SRC bash
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curl -O \
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-A '${organization} ${email}'
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https://www.sec.gov/Archives/edgar/data/311094/000117184321001344/0001171843-21-001344.txt
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#+END_SRC
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You can parse this document using the HTML parser.
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Org-mode\n",
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"\n",
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">A [Org Mode document](https://en.wikipedia.org/wiki/Org-mode) is a document editing, formatting, and organizing mode, designed for notes, planning, and authoring within the free software text editor Emacs."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## `UnstructuredOrgModeLoader`\n",
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"\n",
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"You can load data from Org-mode files with `UnstructuredOrgModeLoader` using the following workflow."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import UnstructuredOrgModeLoader"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = UnstructuredOrgModeLoader(\n",
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" file_path=\"example_data/README.org\", mode=\"elements\"\n",
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")\n",
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"docs = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"page_content='Example Docs' metadata={'source': 'example_data/README.org', 'filename': 'README.org', 'file_directory': 'example_data', 'filetype': 'text/org', 'page_number': 1, 'category': 'Title'}\n"
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]
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}
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],
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"source": [
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"print(docs[0])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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@ -78,6 +78,7 @@ from langchain.document_loaders.odt import UnstructuredODTLoader
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from langchain.document_loaders.onedrive import OneDriveLoader
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from langchain.document_loaders.onedrive import OneDriveLoader
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from langchain.document_loaders.onedrive_file import OneDriveFileLoader
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from langchain.document_loaders.onedrive_file import OneDriveFileLoader
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from langchain.document_loaders.open_city_data import OpenCityDataLoader
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from langchain.document_loaders.open_city_data import OpenCityDataLoader
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from langchain.document_loaders.org_mode import UnstructuredOrgModeLoader
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from langchain.document_loaders.pdf import (
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from langchain.document_loaders.pdf import (
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MathpixPDFLoader,
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MathpixPDFLoader,
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OnlinePDFLoader,
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OnlinePDFLoader,
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"UnstructuredImageLoader",
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"UnstructuredImageLoader",
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"UnstructuredMarkdownLoader",
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"UnstructuredMarkdownLoader",
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"UnstructuredODTLoader",
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"UnstructuredODTLoader",
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"UnstructuredOrgModeLoader",
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"UnstructuredPDFLoader",
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"UnstructuredPDFLoader",
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"UnstructuredPowerPointLoader",
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"UnstructuredPowerPointLoader",
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"UnstructuredRSTLoader",
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"UnstructuredRSTLoader",
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langchain/document_loaders/org_mode.py
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langchain/document_loaders/org_mode.py
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"""Loader that loads Org-Mode files."""
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from typing import Any, List
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from langchain.document_loaders.unstructured import (
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UnstructuredFileLoader,
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validate_unstructured_version,
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)
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class UnstructuredOrgModeLoader(UnstructuredFileLoader):
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"""Loader that uses unstructured to load Org-Mode files."""
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def __init__(
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self, file_path: str, mode: str = "single", **unstructured_kwargs: Any
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):
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validate_unstructured_version(min_unstructured_version="0.7.9")
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super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
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def _get_elements(self) -> List:
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from unstructured.partition.org import partition_org
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return partition_org(filename=self.file_path, **self.unstructured_kwargs)
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tests/integration_tests/document_loaders/test_org_mode.py
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tests/integration_tests/document_loaders/test_org_mode.py
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import os
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from pathlib import Path
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from langchain.document_loaders import UnstructuredOrgModeLoader
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EXAMPLE_DIRECTORY = file_path = Path(__file__).parent.parent / "examples"
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def test_unstructured_org_mode_loader() -> None:
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"""Test unstructured loader."""
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file_path = os.path.join(EXAMPLE_DIRECTORY, "README.org")
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loader = UnstructuredOrgModeLoader(str(file_path))
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docs = loader.load()
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assert len(docs) == 1
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tests/integration_tests/examples/README.org
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tests/integration_tests/examples/README.org
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* Example Docs
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The sample docs directory contains the following files:
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- ~example-10k.html~ - A 10-K SEC filing in HTML format
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- ~layout-parser-paper.pdf~ - A PDF copy of the layout parser paper
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- ~factbook.xml~ / ~factbook.xsl~ - Example XML/XLS files that you
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can use to test stylesheets
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These documents can be used to test out the parsers in the library. In
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addition, here are instructions for pulling in some sample docs that are
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too big to store in the repo.
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** XBRL 10-K
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You can get an example 10-K in inline XBRL format using the following
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~curl~. Note, you need to have the user agent set in the header or the
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SEC site will reject your request.
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#+BEGIN_SRC bash
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curl -O \
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-A '${organization} ${email}'
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https://www.sec.gov/Archives/edgar/data/311094/000117184321001344/0001171843-21-001344.txt
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#+END_SRC
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You can parse this document using the HTML parser.
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