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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Stack Exchange\n",
"\n",
"SE API: https://api.stackexchange.com/docs\n",
"\n",
"Share dataset on HF Hub:\n",
"- https://huggingface.co/docs/datasets/en/create_dataset\n",
"- Advanced: https://huggingface.co/docs/datasets/main/en/dataset_script\n",
"- https://huggingface.co/docs/datasets/en/upload_dataset\n",
" - Example dataset card: https://huggingface.co/datasets/cnn_dailymail\n",
" - Getting started: https://huggingface.co/welcome"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"from requests import Session\n",
"import urllib.parse\n",
"from time import sleep\n",
"import pandas as pd\n",
"import os\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"# Directory to store the data files\n",
"dest_dir = '/Users/ag2435/repos/stackexchange/'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"BASE_URL = 'https://api.stackexchange.com/'\n",
"APPLICATION_KEY = ')KIPKiGfEARDVrtTHF2UKw(('\n",
"MAX_PAGESIZE = 100"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def all(func):\n",
" def wrapper(session, **kwargs):\n",
" # get page from params or default to 1\n",
" page = kwargs.get('page', 1)\n",
" n_requests = 0\n",
"\n",
" while True:\n",
" # add access token to unlock higher request quota\n",
" if 'key' not in kwargs: kwargs['key'] = APPLICATION_KEY\n",
" # use max page size to reduce number of requests\n",
" if 'pagesize' not in kwargs: kwargs['pagesize'] = MAX_PAGESIZE\n",
" # add page number to params\n",
" kwargs['page'] = page\n",
"\n",
" response = func(session, **kwargs)\n",
" # print('response', response)\n",
" for el in response['items']:\n",
" yield el\n",
" # print(response.keys())\n",
" # check if there are more pages\n",
" print(f\"page {page}: has_more={response['has_more']}, quota_remaining={response['quota_remaining']}/{response['quota_max']}\")\n",
" if 'has_more' in response and not response['has_more']:\n",
" break\n",
" page += 1\n",
"\n",
" if n_requests % 4 == 0:\n",
" sleep(1)\n",
" return wrapper"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Sites\n",
"\n",
"TODO: get usage statistics for each site"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"@all\n",
"def get_sites(session, **kwargs):\n",
" url = urllib.parse.urljoin(BASE_URL, '/2.3/sites')\n",
" response = session.get(url, params=kwargs)\n",
" return response.json()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"page 1: has_more=True, quota_remaining=9951/10000\n",
"page 2: has_more=True, quota_remaining=9950/10000\n",
"page 3: has_more=True, quota_remaining=9949/10000\n",
"page 4: has_more=False, quota_remaining=9948/10000\n"
]
}
],
"source": [
"with Session() as session:\n",
" sites = list(get_sites(session))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'aliases': ['https://www.stackoverflow.com',\n",
" 'https://facebook.stackoverflow.com'],\n",
" 'styling': {'tag_background_color': '#E0EAF1',\n",
" 'tag_foreground_color': '#3E6D8E',\n",
" 'link_color': '#0077CC'},\n",
" 'related_sites': [{'relation': 'meta',\n",
" 'api_site_parameter': 'meta.stackoverflow',\n",
" 'site_url': 'https://meta.stackoverflow.com',\n",
" 'name': 'Meta Stack Overflow'},\n",
" {'relation': 'chat',\n",
" 'site_url': 'https://chat.stackoverflow.com/',\n",
" 'name': 'Stack Overflow Chat'}],\n",
" 'markdown_extensions': ['Prettify'],\n",
" 'launch_date': 1221436800,\n",
" 'open_beta_date': 1217462400,\n",
" 'site_state': 'normal',\n",
" 'high_resolution_icon_url': 'https://cdn.sstatic.net/Sites/stackoverflow/Img/[email protected]',\n",
" 'favicon_url': 'https://cdn.sstatic.net/Sites/stackoverflow/Img/favicon.ico',\n",
" 'icon_url': 'https://cdn.sstatic.net/Sites/stackoverflow/Img/apple-touch-icon.png',\n",
" 'audience': 'professional and enthusiast programmers',\n",
" 'site_url': 'https://stackoverflow.com',\n",
" 'api_site_parameter': 'stackoverflow',\n",
" 'logo_url': 'https://cdn.sstatic.net/Sites/stackoverflow/Img/logo.png',\n",
" 'name': 'Stack Overflow',\n",
" 'site_type': 'main_site'}"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sites[0]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# SITE_KEYS = list(sites[0].keys())\n",
"SITE_KEYS = [\n",
" 'aliases', # exclude aliases key\n",
" 'styling',\n",
" 'related_sites',\n",
" 'markdown_extensions',\n",
" 'launch_date',\n",
" 'open_beta_date',\n",
" 'site_state',\n",
" 'high_resolution_icon_url',\n",
" 'favicon_url',\n",
" 'icon_url',\n",
" 'audience',\n",
" 'site_url',\n",
" 'api_site_parameter',\n",
" 'logo_url',\n",
" 'name',\n",
" 'site_type'\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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]
}
],
"source": [
"for i, site in enumerate(sites):\n",
" print(i, site['site_url'], site['name'], site['api_site_parameter'], site['site_type'])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# # save to excel\n",
"# df = pd.DataFrame(sites)\n",
"# df = df[SITE_KEYS]\n",
"# df.to_excel('se_sites.xlsx', index=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Advanced search"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"@all\n",
"def get_search_advanced(session, **kwargs):\n",
" # Make a GET request\n",
" # response = session.get('https://www.google.com')\n",
" # # Print the status code of the response\n",
" # print(response.status_code)\n",
"\n",
" # Convert the following to a GET request:\n",
" # https://api.stackexchange.com/2.3/search/advanced?order=desc&sort=activity&body=arxiv&site=stackoverflow\n",
"\n",
" url = urllib.parse.urljoin(BASE_URL, '/2.3/search/advanced')\n",
" response = session.get(url, params=kwargs)\n",
" return response.json()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"page 1: has_more=True, quota_remaining=9947/10000\n",
"page 2: has_more=False, quota_remaining=9946/10000\n"
]
}
],
"source": [
"with Session() as session:\n",
" params = {\n",
" 'order': 'desc',\n",
" 'sort': 'activity',\n",
" 'body': 'arxiv',\n",
" 'site': 'stackoverflow',\n",
" }\n",
" results = list(get_search_advanced(session, **params))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"148"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(results)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'tags': ['python', 'keras', 'loss-function'],\n",
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" 'display_name': 'Gst',\n",
" 'link': 'https://stackoverflow.com/users/23705688/gst'},\n",
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" 'question_id': 78261447,\n",
" 'content_license': 'CC BY-SA 4.0',\n",
" 'link': 'https://stackoverflow.com/questions/78261447/custom-loss-function-using-keras',\n",
" 'title': 'Custom loss function using keras'},\n",
" {'tags': ['latex', 'submission'],\n",
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" 'link': 'https://stackoverflow.com/questions/75133722/latex-error-command-algorithmic-already-defined',\n",
" 'title': 'LaTeX Error: Command \\\\algorithmic already defined'},\n",
" {'tags': ['python',\n",
" 'deep-learning',\n",
" 'pytorch',\n",
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" 'multivariate-time-series'],\n",
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" 'link': 'https://stackoverflow.com/questions/77742464/axios-request-to-arxiv-randomly-fails',\n",
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]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Construct dataset\n",
"\n",
"We want to find all questions whose answers contain arXiv links."
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Saving to /Users/ag2435/repos/stackexchange/stackoverflow\n",
"page 1: has_more=True, quota_remaining=9931/10000\n",
"page 2: has_more=False, quota_remaining=9930/10000\n",
"/Users/ag2435/repos/stackexchange/stackoverflow/val.json\n"
]
}
],
"source": [
"with Session() as session:\n",
"\n",
" for site in ['stackoverflow',]:\n",
" params = {\n",
" 'order': 'desc',\n",
" 'sort': 'activity',\n",
" 'body': 'arxiv',\n",
" 'site': site,\n",
" }\n",
"\n",
" save_path = os.path.join(dest_dir, site)\n",
" os.makedirs(save_path, exist_ok=True)\n",
" print(f\"Saving to {save_path}\")\n",
" \n",
" results = list(get_search_advanced(session, **params))\n",
" # save results to json\n",
" file_path = os.path.join(save_path, 'val.json')\n",
" print(file_path)\n",
" with open(file_path, 'w') as f:\n",
" json.dump(results, f, indent=2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "arxiv-agent",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|