adding parent title (for more information in parquet file)
Browse files- README.md +1 -2
- articles.parquet +2 -2
- notebooks_preprocess/preprocess_xml.ipynb +0 -181
- notebooks_preprocess/preprocess_xml_withparent.ipynb +735 -0
README.md
CHANGED
@@ -6,8 +6,6 @@ tags:
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- legal
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pretty_name: LoiLibre
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---
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Ce dataset correspond à des pdfs parser avec nougat (https://github.com/facebookresearch/nougat).
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Les principaux pdfs correspondent aux différents code de lois (civil / pénal etc).
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Il s'agit des pdfs preparsés qui peuvent être ensuite utilisé dans des appli autour du NLP / LLMs dans un soucis de collaborations.
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@@ -24,3 +22,4 @@ La structure des données :
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- dans notebooks_preprocess/ on retrouve les différents notebooks qui ont permis de constitué le dataset final.
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- legal
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pretty_name: LoiLibre
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---
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Il s'agit des pdfs preparsés qui peuvent être ensuite utilisé dans des appli autour du NLP / LLMs dans un soucis de collaborations.
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- dans notebooks_preprocess/ on retrouve les différents notebooks qui ont permis de constitué le dataset final.
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articles.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:071a08dd9f61635918589332a2d704d4baae97d2123cc32d86dc9bce87c9de57
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size 16980961
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notebooks_preprocess/preprocess_xml.ipynb
DELETED
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n",
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"# import xml parsing tools\n",
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"import xml.etree.ElementTree as ET\n"
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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": 59,
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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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"Found 9 files\n",
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"Parsing Code de la consommation.xml\n",
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"Found 2164 articles\n",
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"Parsing Code civil.xml\n",
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"Found 2881 articles\n",
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"Parsing Code du travail.xml\n",
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"Found 11258 articles\n",
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"Parsing Code général des impôts.xml\n",
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"Found 2315 articles\n",
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"Parsing Code de la propriété intellectuelle.xml\n",
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"Found 1896 articles\n",
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"Parsing Code de la santé publique.xml\n",
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"Found 13242 articles\n",
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"Parsing Code de la sécurité sociale.xml\n",
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"Found 7318 articles\n",
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"Parsing Code pénal.xml\n",
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"Found 1303 articles\n",
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"Parsing Code de la route.xml\n",
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"Found 1157 articles\n"
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]
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}
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],
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"source": [
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"def retrieve_every_article_xml(xml_file):\n",
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" \"\"\"\n",
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" This function retrieves all the articles from a xml file\n",
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" \"\"\"\n",
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" tree = ET.parse(xml_file)\n",
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" root = tree.getroot()\n",
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" \n",
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" # find all xml tags with the name \"article\"\n",
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" articles = root.findall(\".//article\")\n",
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" print(\"Found {} articles\".format(len(articles)))\n",
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" \n",
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" return articles\n",
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"\n",
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"def parse_article_xml(article):\n",
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" \n",
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" # we we check if there is any children\n",
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" return \"\".join(article.itertext())\n",
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"\n",
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"def main(main_folder=\"/Users/adrienbufort/Documents/workspace/datasets/LoiLibre/raw\"):\n",
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" \n",
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" # npw we can list all the xml files in the folder\n",
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" import os\n",
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" files = os.listdir(main_folder)\n",
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" files = [f for f in files if f.endswith(\".xml\")]\n",
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" print(\"Found {} files\".format(len(files)))\n",
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" \n",
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" # we can now parse all the files \n",
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" df_articles = []\n",
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" \n",
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" for f in files:\n",
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" print(\"Parsing {}\".format(f))\n",
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" articles = retrieve_every_article_xml(os.path.join(main_folder, f))\n",
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" articles_text = [parse_article_xml(a) for a in articles]\n",
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" articles_metadata = [a.attrib for a in articles]\n",
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" \n",
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" dataframe_articles = pd.DataFrame({\"text\": articles_text})\n",
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" dataframe_metadata = pd.DataFrame(articles_metadata)\n",
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" \n",
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" # concatenate the columns\n",
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" dataframe_tmp = pd.concat([dataframe_articles, dataframe_metadata], axis=1)\n",
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" \n",
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" # add the file name\n",
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" dataframe_tmp[\"file_name\"] = f\n",
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" \n",
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" df_articles.append(dataframe_tmp)\n",
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" \n",
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" # concatenate all the dataframes\n",
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" df_articles = pd.concat(df_articles)\n",
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" \n",
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" return df_articles\n",
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"\n",
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"# we can now parse all the files\n",
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"articles = main()\n",
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" \n",
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" \n",
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" \n",
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"\n"
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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": 61,
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"metadata": {},
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"outputs": [],
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"source": [
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"# strip the text\n",
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"articles[\"text\"] = articles[\"text\"].str.strip()"
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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": 69,
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"metadata": {},
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"outputs": [],
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"source": [
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"# save the dataframe\n",
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"articles.to_parquet(\"../articles.parquet\")"
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]
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},
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"cell_type": "code",
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"execution_count": 68,
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Defaulting to user installation because normal site-packages is not writeable\n",
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"Collecting pyarrow\n",
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" Downloading pyarrow-14.0.1-cp39-cp39-macosx_11_0_arm64.whl (24.0 MB)\n",
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"\u001b[K |████████████████████████████████| 24.0 MB 14.7 MB/s eta 0:00:01\n",
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"\u001b[?25hRequirement already satisfied: numpy>=1.16.6 in /Users/adrienbufort/Library/Python/3.9/lib/python/site-packages (from pyarrow) (1.25.1)\n",
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"Installing collected packages: pyarrow\n",
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"Successfully installed pyarrow-14.0.1\n",
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"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 23.3.1 is available.\n",
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"You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
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]
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}
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],
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"source": [
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"!pip3 install pyarrow"
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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",
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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": "3.9.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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notebooks_preprocess/preprocess_xml_withparent.ipynb
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1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": 2,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [
|
8 |
+
{
|
9 |
+
"name": "stdout",
|
10 |
+
"output_type": "stream",
|
11 |
+
"text": [
|
12 |
+
"Defaulting to user installation because normal site-packages is not writeable\n",
|
13 |
+
"Collecting lxml\n",
|
14 |
+
" Downloading lxml-4.9.3.tar.gz (3.6 MB)\n",
|
15 |
+
"\u001b[K |████████████████████████████████| 3.6 MB 3.0 MB/s eta 0:00:01\n",
|
16 |
+
"\u001b[?25hBuilding wheels for collected packages: lxml\n",
|
17 |
+
" Building wheel for lxml (setup.py) ... \u001b[?25ldone\n",
|
18 |
+
"\u001b[?25h Created wheel for lxml: filename=lxml-4.9.3-cp39-cp39-macosx_10_9_universal2.whl size=3109250 sha256=23007818bc62b33d4c6a6311fe35a09a7c0ad0b8150ed0a5b095f754a363c11e\n",
|
19 |
+
" Stored in directory: /Users/adrienbufort/Library/Caches/pip/wheels/5c/05/aa/530f84480d476c5bb9ea09877eea78fb144ec047fbb00ee2ca\n",
|
20 |
+
"Successfully built lxml\n",
|
21 |
+
"Installing collected packages: lxml\n",
|
22 |
+
"Successfully installed lxml-4.9.3\n",
|
23 |
+
"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 23.3.1 is available.\n",
|
24 |
+
"You should consider upgrading via the '/Library/Developer/CommandLineTools/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
|
25 |
+
]
|
26 |
+
}
|
27 |
+
],
|
28 |
+
"source": [
|
29 |
+
"!pip3 install lxml"
|
30 |
+
]
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"cell_type": "code",
|
34 |
+
"execution_count": 4,
|
35 |
+
"metadata": {},
|
36 |
+
"outputs": [],
|
37 |
+
"source": [
|
38 |
+
"import pandas as pd\n",
|
39 |
+
"import numpy as np\n",
|
40 |
+
"\n",
|
41 |
+
"# import xml parsing tools\n",
|
42 |
+
"import lxml.etree as ET\n"
|
43 |
+
]
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"cell_type": "code",
|
47 |
+
"execution_count": 18,
|
48 |
+
"metadata": {},
|
49 |
+
"outputs": [
|
50 |
+
{
|
51 |
+
"name": "stdout",
|
52 |
+
"output_type": "stream",
|
53 |
+
"text": [
|
54 |
+
"Found 9 files\n",
|
55 |
+
"Parsing Code de la consommation.xml\n",
|
56 |
+
"Parsing Code civil.xml\n",
|
57 |
+
"Parsing Code du travail.xml\n",
|
58 |
+
"Parsing Code général des impôts.xml\n",
|
59 |
+
"Parsing Code de la propriété intellectuelle.xml\n",
|
60 |
+
"Parsing Code de la santé publique.xml\n",
|
61 |
+
"Parsing Code de la sécurité sociale.xml\n",
|
62 |
+
"Parsing Code pénal.xml\n",
|
63 |
+
"Parsing Code de la route.xml\n"
|
64 |
+
]
|
65 |
+
}
|
66 |
+
],
|
67 |
+
"source": [
|
68 |
+
"def retrieve_every_article_xml(xml_file):\n",
|
69 |
+
" \"\"\"\n",
|
70 |
+
" This function retrieves all the articles from a xml file\n",
|
71 |
+
" \"\"\"\n",
|
72 |
+
" tree = ET.parse(xml_file)\n",
|
73 |
+
" root = tree.getroot()\n",
|
74 |
+
" \n",
|
75 |
+
" # find all xml tags with the name \"article\"\n",
|
76 |
+
" articles = root.findall(\".//article\")\n",
|
77 |
+
" \n",
|
78 |
+
" # find all the parents of the articles\n",
|
79 |
+
" parents = [a.getparent() for a in articles]\n",
|
80 |
+
" \n",
|
81 |
+
" return articles, parents\n",
|
82 |
+
"\n",
|
83 |
+
"def parse_article_xml(article):\n",
|
84 |
+
" \n",
|
85 |
+
" # we we check if there is any children\n",
|
86 |
+
" return \"\".join(article.itertext())\n",
|
87 |
+
"\n",
|
88 |
+
"def main(main_folder=\"/Users/adrienbufort/Documents/workspace/datasets/LoiLibre/raw\"):\n",
|
89 |
+
" \n",
|
90 |
+
" # npw we can list all the xml files in the folder\n",
|
91 |
+
" import os\n",
|
92 |
+
" files = os.listdir(main_folder)\n",
|
93 |
+
" files = [f for f in files if f.endswith(\".xml\")]\n",
|
94 |
+
" print(\"Found {} files\".format(len(files)))\n",
|
95 |
+
" \n",
|
96 |
+
" # we can now parse all the files \n",
|
97 |
+
" df_articles = []\n",
|
98 |
+
" \n",
|
99 |
+
" for f in files:\n",
|
100 |
+
" print(\"Parsing {}\".format(f))\n",
|
101 |
+
" articles, parents = retrieve_every_article_xml(os.path.join(main_folder, f))\n",
|
102 |
+
" \n",
|
103 |
+
" \n",
|
104 |
+
" articles_text = [parse_article_xml(a) for a in articles]\n",
|
105 |
+
" articles_metadata = [a.attrib for a in articles]\n",
|
106 |
+
" \n",
|
107 |
+
" title_parent = [p.attrib[\"title\"] for p in parents]\n",
|
108 |
+
" \n",
|
109 |
+
" dataframe_articles = pd.DataFrame({\"text\": articles_text, \"title_parent\": title_parent})\n",
|
110 |
+
" dataframe_metadata = pd.DataFrame(articles_metadata)\n",
|
111 |
+
" \n",
|
112 |
+
" # concatenate the columns\n",
|
113 |
+
" dataframe_tmp = pd.concat([dataframe_articles, dataframe_metadata], axis=1)\n",
|
114 |
+
" \n",
|
115 |
+
" # add the file name\n",
|
116 |
+
" dataframe_tmp[\"file_name\"] = f\n",
|
117 |
+
" \n",
|
118 |
+
" df_articles.append(dataframe_tmp)\n",
|
119 |
+
" \n",
|
120 |
+
" # concatenate all the dataframes\n",
|
121 |
+
" df_articles = pd.concat(df_articles)\n",
|
122 |
+
" \n",
|
123 |
+
" return df_articles\n",
|
124 |
+
"\n",
|
125 |
+
"# we can now parse all the files\n",
|
126 |
+
"articles = main()\n",
|
127 |
+
" \n",
|
128 |
+
" \n",
|
129 |
+
" \n",
|
130 |
+
"\n"
|
131 |
+
]
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"cell_type": "code",
|
135 |
+
"execution_count": 19,
|
136 |
+
"metadata": {},
|
137 |
+
"outputs": [
|
138 |
+
{
|
139 |
+
"data": {
|
140 |
+
"text/html": [
|
141 |
+
"<div>\n",
|
142 |
+
"<style scoped>\n",
|
143 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
144 |
+
" vertical-align: middle;\n",
|
145 |
+
" }\n",
|
146 |
+
"\n",
|
147 |
+
" .dataframe tbody tr th {\n",
|
148 |
+
" vertical-align: top;\n",
|
149 |
+
" }\n",
|
150 |
+
"\n",
|
151 |
+
" .dataframe thead th {\n",
|
152 |
+
" text-align: right;\n",
|
153 |
+
" }\n",
|
154 |
+
"</style>\n",
|
155 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
156 |
+
" <thead>\n",
|
157 |
+
" <tr style=\"text-align: right;\">\n",
|
158 |
+
" <th></th>\n",
|
159 |
+
" <th>text</th>\n",
|
160 |
+
" <th>title_parent</th>\n",
|
161 |
+
" <th>cid</th>\n",
|
162 |
+
" <th>date</th>\n",
|
163 |
+
" <th>etat</th>\n",
|
164 |
+
" <th>id</th>\n",
|
165 |
+
" <th>intOrdre</th>\n",
|
166 |
+
" <th>modId</th>\n",
|
167 |
+
" <th>modTitle</th>\n",
|
168 |
+
" <th>num</th>\n",
|
169 |
+
" <th>file_name</th>\n",
|
170 |
+
" </tr>\n",
|
171 |
+
" </thead>\n",
|
172 |
+
" <tbody>\n",
|
173 |
+
" <tr>\n",
|
174 |
+
" <th>0</th>\n",
|
175 |
+
" <td>\\n \\n Pour l'application du présent...</td>\n",
|
176 |
+
" <td>Partie législative nouvelle</td>\n",
|
177 |
+
" <td>LEGIARTI000032228215</td>\n",
|
178 |
+
" <td>2021-12-23</td>\n",
|
179 |
+
" <td>VIGUEUR</td>\n",
|
180 |
+
" <td>LEGIARTI000044563103</td>\n",
|
181 |
+
" <td>1014089499</td>\n",
|
182 |
+
" <td>JORFTEXT000044546235</td>\n",
|
183 |
+
" <td>Ordonnance n°2021-1734 du 22 décembre 2021 - a...</td>\n",
|
184 |
+
" <td>liminaire</td>\n",
|
185 |
+
" <td>Code de la consommation.xml</td>\n",
|
186 |
+
" </tr>\n",
|
187 |
+
" <tr>\n",
|
188 |
+
" <th>1</th>\n",
|
189 |
+
" <td>\\n Avant que le consommateur ne soi...</td>\n",
|
190 |
+
" <td>Chapitre Ier : Obligation générale d'informati...</td>\n",
|
191 |
+
" <td>LEGIARTI000032220903</td>\n",
|
192 |
+
" <td>2021-09-30</td>\n",
|
193 |
+
" <td>VIGUEUR</td>\n",
|
194 |
+
" <td>LEGIARTI000044142438</td>\n",
|
195 |
+
" <td>195225786</td>\n",
|
196 |
+
" <td>JORFTEXT000044125847</td>\n",
|
197 |
+
" <td>Ordonnance n°2021-1247 du 29 septembre 2021 - ...</td>\n",
|
198 |
+
" <td>L111-1</td>\n",
|
199 |
+
" <td>Code de la consommation.xml</td>\n",
|
200 |
+
" </tr>\n",
|
201 |
+
" <tr>\n",
|
202 |
+
" <th>2</th>\n",
|
203 |
+
" <td>\\n Outre les mentions prévues à l'a...</td>\n",
|
204 |
+
" <td>Chapitre Ier : Obligation générale d'informati...</td>\n",
|
205 |
+
" <td>LEGIARTI000032220905</td>\n",
|
206 |
+
" <td>2016-03-16</td>\n",
|
207 |
+
" <td>VIGUEUR</td>\n",
|
208 |
+
" <td>LEGIARTI000032227350</td>\n",
|
209 |
+
" <td>390451572</td>\n",
|
210 |
+
" <td>JORFTEXT000032209352</td>\n",
|
211 |
+
" <td>Ordonnance n°2016-301 du 14 mars 2016 - art.</td>\n",
|
212 |
+
" <td>L111-2</td>\n",
|
213 |
+
" <td>Code de la consommation.xml</td>\n",
|
214 |
+
" </tr>\n",
|
215 |
+
" <tr>\n",
|
216 |
+
" <th>3</th>\n",
|
217 |
+
" <td>\\n Les dispositions des articles L....</td>\n",
|
218 |
+
" <td>Chapitre Ier : Obligation générale d'informati...</td>\n",
|
219 |
+
" <td>LEGIARTI000032220907</td>\n",
|
220 |
+
" <td>2017-04-07</td>\n",
|
221 |
+
" <td>VIGUEUR</td>\n",
|
222 |
+
" <td>LEGIARTI000034388081</td>\n",
|
223 |
+
" <td>585677358</td>\n",
|
224 |
+
" <td>JORFTEXT000034379166</td>\n",
|
225 |
+
" <td>Ordonnance n°2017-484 du 6 avril 2017 - art. 17</td>\n",
|
226 |
+
" <td>L111-3</td>\n",
|
227 |
+
" <td>Code de la consommation.xml</td>\n",
|
228 |
+
" </tr>\n",
|
229 |
+
" <tr>\n",
|
230 |
+
" <th>4</th>\n",
|
231 |
+
" <td>\\n Le fabricant ou l'importateur de...</td>\n",
|
232 |
+
" <td>Chapitre Ier : Obligation générale d'informati...</td>\n",
|
233 |
+
" <td>LEGIARTI000032220909</td>\n",
|
234 |
+
" <td>2021-11-16</td>\n",
|
235 |
+
" <td>VIGUEUR</td>\n",
|
236 |
+
" <td>LEGIARTI000044330854</td>\n",
|
237 |
+
" <td>780903144</td>\n",
|
238 |
+
" <td>JORFTEXT000044327272</td>\n",
|
239 |
+
" <td>LOI n°2021-1485 du 15 novembre 2021 - art. 18</td>\n",
|
240 |
+
" <td>L111-4</td>\n",
|
241 |
+
" <td>Code de la consommation.xml</td>\n",
|
242 |
+
" </tr>\n",
|
243 |
+
" <tr>\n",
|
244 |
+
" <th>...</th>\n",
|
245 |
+
" <td>...</td>\n",
|
246 |
+
" <td>...</td>\n",
|
247 |
+
" <td>...</td>\n",
|
248 |
+
" <td>...</td>\n",
|
249 |
+
" <td>...</td>\n",
|
250 |
+
" <td>...</td>\n",
|
251 |
+
" <td>...</td>\n",
|
252 |
+
" <td>...</td>\n",
|
253 |
+
" <td>...</td>\n",
|
254 |
+
" <td>...</td>\n",
|
255 |
+
" <td>...</td>\n",
|
256 |
+
" </tr>\n",
|
257 |
+
" <tr>\n",
|
258 |
+
" <th>1152</th>\n",
|
259 |
+
" <td>\\n I.- Lorsque ces informations son...</td>\n",
|
260 |
+
" <td>Chapitre 1er : Responsabilité pénale</td>\n",
|
261 |
+
" <td>LEGIARTI000033668477</td>\n",
|
262 |
+
" <td>2021-10-21</td>\n",
|
263 |
+
" <td>VIGUEUR</td>\n",
|
264 |
+
" <td>LEGIARTI000044233123</td>\n",
|
265 |
+
" <td>1879048191</td>\n",
|
266 |
+
" <td>JORFTEXT000044229080</td>\n",
|
267 |
+
" <td>Arrêté du 13 octobre 2021 - art. 5</td>\n",
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"1 JORFTEXT000044125847 Ordonnance n°2021-1247 du 29 septembre 2021 - ... \n",
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376 |
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|
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"... ... ... \n",
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"1152 JORFTEXT000044229080 Arrêté du 13 octobre 2021 - art. 5 \n",
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"1153 JORFTEXT000044229080 Arrêté du 13 octobre 2021 - art. 6 \n",
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381 |
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"1154 JORFTEXT000047664460 Arrêté du 9 juin 2023 - art. 1 \n",
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382 |
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"1155 JORFTEXT000043297189 Arrêté du 15 mars 2021 - art. 1 \n",
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|
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"2 L111-2 Code de la consommation.xml \n",
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"3 L111-3 Code de la consommation.xml \n",
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"4 L111-4 Code de la consommation.xml \n",
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"... ... ... \n",
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"output_type": "execute_result"
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"source": [
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"# get parent\n",
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"articles"
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"source": [
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"articles[\"text\"] = articles[\"text\"].str.strip()"
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"outputs": [],
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426 |
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"source": [
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"# save the dataframe\n",
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"articles.to_parquet(\"../articles.parquet\")"
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]
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"\u001b[?25hRequirement already satisfied: numpy>=1.16.6 in /Users/adrienbufort/Library/Python/3.9/lib/python/site-packages (from pyarrow) (1.25.1)\n",
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"Installing collected packages: pyarrow\n",
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"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 23.3.1 is available.\n",
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|
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" <td>Arrêté du 13 octobre 2021 - art. 5</td>\n",
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