{ "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/apple-touch-icon@2.png',\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", "text": [ "0 https://stackoverflow.com Stack Overflow stackoverflow main_site\n", "1 https://serverfault.com Server Fault serverfault main_site\n", "2 https://superuser.com Super User superuser main_site\n", "3 https://meta.stackexchange.com Meta Stack Exchange meta main_site\n", "4 https://webapps.stackexchange.com Web Applications webapps main_site\n", "5 https://webapps.meta.stackexchange.com Web Applications Meta webapps.meta meta_site\n", "6 https://gaming.stackexchange.com Arqade gaming main_site\n", "7 https://gaming.meta.stackexchange.com Arqade Meta gaming.meta meta_site\n", "8 https://webmasters.stackexchange.com Webmasters 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Meta japanese.meta meta_site\n", "103 https://philosophy.stackexchange.com Philosophy philosophy main_site\n", "104 https://philosophy.meta.stackexchange.com Philosophy Meta philosophy.meta meta_site\n", "105 https://gardening.stackexchange.com Gardening & Landscaping gardening main_site\n", "106 https://gardening.meta.stackexchange.com Gardening & Landscaping Meta gardening.meta meta_site\n", "107 https://travel.stackexchange.com Travel travel main_site\n", "108 https://travel.meta.stackexchange.com Travel Meta travel.meta meta_site\n", "109 https://crypto.stackexchange.com Cryptography crypto main_site\n", "110 https://crypto.meta.stackexchange.com Cryptography Meta crypto.meta meta_site\n", "111 https://dsp.stackexchange.com Signal Processing dsp main_site\n", "112 https://dsp.meta.stackexchange.com Signal Processing Meta dsp.meta meta_site\n", "113 https://french.stackexchange.com French Language french main_site\n", "114 https://french.meta.stackexchange.com French Language Meta 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meta_site\n", "356 https://bioacoustics.stackexchange.com Bioacoustics bioacoustics main_site\n", "357 https://bioacoustics.meta.stackexchange.com Bioacoustics Meta bioacoustics.meta meta_site\n", "358 https://solana.stackexchange.com Solana solana main_site\n", "359 https://solana.meta.stackexchange.com Solana Meta solana.meta meta_site\n", "360 https://langdev.stackexchange.com Programming Language Design and Implementation langdev main_site\n", "361 https://langdev.meta.stackexchange.com Programming Language Design and Implementation Meta langdev.meta meta_site\n", "362 https://genai.stackexchange.com GenAI genai main_site\n", "363 https://genai.meta.stackexchange.com GenAI Meta genai.meta meta_site\n" ] } ], "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", " 'owner': {'account_id': 30887162,\n", " 'reputation': 1,\n", " 'user_id': 23705688,\n", " 'user_type': 'registered',\n", " 'profile_image': 'https://www.gravatar.com/avatar/0fc28f4b92f679e46ac0a2013e5d1c45?s=256&d=identicon&r=PG&f=y&so-version=2',\n", " 'display_name': 'Gst',\n", " 'link': 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1712001203,\n", " 'creation_date': 1673869286,\n", " 'last_edit_date': 1674056434,\n", " 'question_id': 75133722,\n", " 'content_license': 'CC BY-SA 4.0',\n", " '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", " 'anomaly-detection',\n", " 'multivariate-time-series'],\n", " 'owner': {'account_id': 19245659,\n", " 'reputation': 9,\n", " 'user_id': 14064736,\n", " 'user_type': 'registered',\n", " 'profile_image': 'https://www.gravatar.com/avatar/1bf8658fa79e09515c5d7e5c6279bab9?s=256&d=identicon&r=PG&f=y&so-version=2',\n", " 'display_name': 'user_123789456',\n", " 'link': 'https://stackoverflow.com/users/14064736/user-123789456'},\n", " 'is_answered': False,\n", " 'view_count': 26,\n", " 'answer_count': 0,\n", " 'score': -1,\n", " 'last_activity_date': 1711550637,\n", " 'creation_date': 1711550637,\n", " 'question_id': 78232542,\n", " 'content_license': 'CC BY-SA 4.0',\n", " 'link': 'https://stackoverflow.com/questions/78232542/multivariate-irregular-time-series-anomaly-detection-based-on-deep-learning-or',\n", " 'title': 'Multivariate irregular time series anomaly detection based on Deep Learning (or even self-attention)?'},\n", " {'tags': ['python'],\n", " 'owner': {'account_id': 6473652,\n", " 'reputation': 340,\n", " 'user_id': 10488142,\n", " 'user_type': 'registered',\n", " 'profile_image': 'https://i.stack.imgur.com/GN4CA.png?s=256&g=1',\n", " 'display_name': 'Lukas Koestler',\n", " 'link': 'https://stackoverflow.com/users/10488142/lukas-koestler'},\n", " 'is_answered': True,\n", " 'view_count': 463,\n", " 'accepted_answer_id': 78070287,\n", " 'answer_count': 1,\n", " 'score': 3,\n", " 'last_activity_date': 1709064846,\n", " 'creation_date': 1630434238,\n", " 'question_id': 69003677,\n", " 'content_license': 'CC BY-SA 4.0',\n", " 'link': 'https://stackoverflow.com/questions/69003677/arxiv-api-problem-with-searching-for-two-keywords',\n", " 'title': 'arXiv API problem with searching for two keywords'},\n", " {'tags': ['python', 'web-scraping', 'google-docs'],\n", " 'owner': {'account_id': 20095910,\n", " 'reputation': 2148,\n", " 'user_id': 14735451,\n", " 'user_type': 'registered',\n", " 'profile_image': 'https://i.stack.imgur.com/BlY6t.jpg?s=256&g=1',\n", " 'display_name': 'Penguin',\n", " 'link': 'https://stackoverflow.com/users/14735451/penguin'},\n", " 'is_answered': True,\n", " 'view_count': 541,\n", " 'accepted_answer_id': 77424842,\n", " 'answer_count': 2,\n", " 'score': 0,\n", " 'last_activity_date': 1708533570,\n", " 'creation_date': 1698447523,\n", " 'last_edit_date': 1698669342,\n", " 'question_id': 77377413,\n", " 'content_license': 'CC BY-SA 4.0',\n", " 'link': 'https://stackoverflow.com/questions/77377413/how-to-query-arxiv-daily-based-on-keywords-and-write-the-results-in-a-google-doc',\n", " 'title': 'How to query arxiv daily based on keywords and write the results in a Google doc?'},\n", " {'tags': ['large-language-model', 'longtext', 'text-generation'],\n", " 'owner': {'account_id': 30430167,\n", " 'reputation': 1,\n", " 'user_id': 23319531,\n", " 'user_type': 'registered',\n", " 'profile_image': 'https://lh3.googleusercontent.com/a/ACg8ocIUim46aR3GY13oMo_-2-YBnMTubH0WgC4jsZ1AgXgV=k-s256',\n", " 'display_name': 'youran zeng',\n", " 'link': 'https://stackoverflow.com/users/23319531/youran-zeng'},\n", " 'is_answered': False,\n", " 'view_count': 13,\n", " 'answer_count': 0,\n", " 'score': 0,\n", " 'last_activity_date': 1706605021,\n", " 'creation_date': 1706605021,\n", " 'question_id': 77905034,\n", " 'content_license': 'CC BY-SA 4.0',\n", " 'link': 'https://stackoverflow.com/questions/77905034/how-to-build-a-long-context-window-corpus-dataset',\n", " 'title': 'How to build a 'long context window' corpus dataset'},\n", " {'tags': ['python', 'numpy', 'signal-processing'],\n", " 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2516,\n", " 'reputation': 31881,\n", " 'user_id': 3508,\n", " 'user_type': 'registered',\n", " 'accept_rate': 79,\n", " 'profile_image': 'https://www.gravatar.com/avatar/4192f0be13a9afca171cdc1ef0919f84?s=256&d=identicon&r=PG',\n", " 'display_name': 'A. Rex',\n", " 'link': 'https://stackoverflow.com/users/3508/a-rex'},\n", " 'is_answered': True,\n", " 'view_count': 4877,\n", " 'accepted_answer_id': 3032460,\n", " 'answer_count': 2,\n", " 'score': 3,\n", " 'last_activity_date': 1276437160,\n", " 'creation_date': 1272055113,\n", " 'last_edit_date': 1492088275,\n", " 'question_id': 2701841,\n", " 'content_license': 'CC BY-SA 3.0',\n", " 'link': 'https://stackoverflow.com/questions/2701841/rendering-latex-on-third-party-websites',\n", " 'title': 'Rendering LaTeX on third-party websites?'}]" ] }, "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 }