Download all of wikipedia

In our earlier article, we have explained multiple options to view webpages offline for later reading. Sometimes, you do not all various webpages but reliable content from reputed sources. Wikipedia is one of the best online sources for reference. Can you imagine you can download entire Wikipedia content in iPhone? The best part is that you can access the content offline without internet connection. Without further ado, here is how you can do that.Kiwix ProjectBefore we explain the process, you should understand the Kiwix project. This is a free and open source service for offering highly compressed ZIM files. These ZIM files are from reliable sources like Wikipedia, Gutenberg, TED, etc. Kiwix offers apps for Windows, Mac, Android, iPhone, Linux and Raspberry Pi. In addition, you can use the browser extensions available for Chrome, Firefox and Edge to view content from Wikipedia offline.In this article, we will focus on using their iPhone app and show how to download entire Wikipedia articles. You can use the same process in Mac, Windows and Android apps also.Installing Kiwix App in iPhoneGo to App Store and search for “kiwix” to find the Kiwix app. Tap on “Get” button and confirm to install the app on your iPhone.Install Kiwix from iPhone App StoreThe app has very simple user interface with few icons on the bottom and you will see a “Open Library” button when launching the app.Open File Library in Kiwix AppDownloading Wikipedia ContentTap on the “Open Library” button which will show as you have not imported any content yet. The next screen will show you a huge list of reliable resources including Wikipedia. Tap on “Wikipedia” option will show the complete list of articles available under different categories in Wikipedia. Scroll down and find the largest Wikipedia file which should be around 95GB in size. If you do not want to download the entire Wikipedia content, then choose the category which you want to use offline.Select Entire Wikipedia File for DownloadOn the next screen, you will see the details of the selected file. Make sure to disable “Cellular Data” option on the next screen and tap on “Download” link. Since the download may take longer time depending on the file size, disabling cellular data will help to make sure the download works only when you are connected to WLAN. You can find other details like whether the file includes images, videos and the number

Wikipedia Table DownloaderThis is a flask app that enables downloading tabled data from wikipedia as a CSV file. It's designed to handle tables with complex structures, including those with rowspans and colspans. Created after realizing pasting this into a google sheet performs a similar action:=importhtml(" run this application, you will need Python installed on your system along with the following dependencies:FlaskBeautifulSoup4requestsYou can install these dependencies using pip:pip install Flask BeautifulSoup4 requestsUsageTo use the application, follow these steps:Start the Flask app:Navigate to the folder containing the script and run:python app.pyAccess the application:Open a web browser and go to a Wikipedia URL:In the form presented, enter the full URL of a Wikipedia page whose tables you want to download.Select a table to download:After submitting the URL, the application will display all the tables found on the Wikipedia page. Click the "Download" button next to the table you wish to download as a CSV file.The downloaded CSV file will be named according to the Wikipedia page title and the table index.NotesThe application currently handles only tables with the "wikitable" class.It is tested with specific Wikipedia URLs but should work with most Wikipedia pages containing tables.LicenseThis project is open source and available under the MIT License.

Of articles in the file. Most importantly, select the language to change the language of the file’s content.Check File Details and DownloadWhen you tap on “Download” link, the request will be first queued for importing the content. After some time (generally in few seconds), you will see the download start and you can see the status of the progress. It is also possible to pause or cancel the download to terminate the process anytime.Check File Download StatusAfter finishing the download, tap on “Open Main Page” link to go the list of articles downloaded from the file.View Wikipedia Articles Offline in iPhoneIf the download is taking too long time or never completes on iPhone, there is an alternate option for you. First, go to Kiwix library on your Mac or Windows PC and download the ZIM file. This will be much faster compared to downloading on your iPhone. After that transfer the file to your iPhone using AirDrop from Mac or send through iCloud from Windows. When you are viewing the library in Kiwix iPhone app, tap on the + icon showing on the top and select the transferred file to import the content. This will work faster as the file is already available on the phone and no need to download it again.Manually Import FileSince the content in Wikipedia is updated continuously, you can sync the latest version in Kiwix app also. Tap on the gear icon and select the “Update Now” button to download the latest file.Update Downloaded ContentViewing Wikipedia Content Offline in iPhoneOnce the download is completed, the app will show the list of articles in the home page from the downloaded file. You can use the search box to find relevant articles and read them offline without internet connection. The app will remove all hyperlinks and unnecessary clutters that you will find when reading Wikipedia articles online. If you tap on the external links (showing generally the bottom for attribution), you will see a notification asking your confirmation whether to open that external link or not. You can tap on “Load the link” to open it within the app. However, you should have internet connection for opening external links from the pages.Opening External LinksYou can download all the Wikipedia files and also from other sources if required to have a complete library for your offline reading. Tap on the three dots inside a circle (options) icon showing

Wikipedia-to-kindle-azw3-pdfA bash script to send wikipedia articles to kindle as azw3. Also downloads the pdf to your current directory.Setup(Note: If you only want to download wikipedia articles as pdf and don't care about sending them to your kindle, skip step 1,2,3,4 and go directly to step 5.)Before we can begin executing the script we need to make a few changes on our end.Get Google app passwordThis is required for Google to allow your app to send mail via its smtp server.Since we're sending mail to your kindle, please make sure the email address is in kindle's approved email list.(Note: The following guide follows Gmail configuration. If you're using another email provider, please lookup their smtp configuration)Open '/etc/ssmtp/ssmtp.conf' and add the following entry:(Create the dir and file if they don't exist.)[email protected]=smtp.gmail.com:[email protected]=passwordReplace AuthUser and Authpass with your kindle-approved gmail and app-password respectively.Installing ssmtp and mpackOn ubuntu:sudo apt-get install ssmtpsudo apt-get install mpackThere are two methods to use the script.4.1. executing the bash script4.2. setting alias in ~/.bashrcExecuting bash scriptDownload wikipedia-to-azw3.sh file from the github reponano ./wikipedia-to-azw3.sh and change [email protected] to your kindle email.chmod +x ./wikipedia-to-azw3.shuse by executing ./wikipedia-to-azw3.sh [article-name] for example ./wikipedia-to-azw3.sh computer_scienceIt is also possible to download multiple files. Just mention article names in succession. For example./wikipedia-to-azw3.sh computer_science algorithm life death will download wikipedia articles for computer_science, algorithm, life, death and send them to your kindle device.Setting alias in ~/.bashrcnano ~/.bashrcAdd alias [alias]='function _wikipdf() { local words=($@); for word in "${words[@]}"; do wget "en.wikipedia.org/api/rest_v1/page/pdf/$word" && mv "./$word" "./$word.pdf" && mpack -s "convert" -a "./$word.pdf" [email protected]; done; }; _wikipdf' Replace [alias] and mail with an alias and your kindle email respectively. (I personally recommend 4.2. since it allows the command to be executed from anywhere as opposed to the script method.)Optionally if you only want to download wikipedia articles as pdf without wanting to send it to kindle you could set alias [alias]='function _wikipdf() { wget "en.wikipedia.org/api/rest_v1/page/pdf/$1" && mv ./$1 ./$1.pdf; }; _wikipdf' to your ~/.bashrc.UsageDepending on the execution method chosen (either 4.1 or 4.2 from above) the articles can be sent by using the command./wikipedia-to-kindle.sh article1 article2 article3 or[alias] article1 article2

The HTML within the record from binary to text.If the HTML can be properly decoded, then with pyCLD2, perform language detection on the input HTML.Finally, the extract the relevant text with jusText, Resiliparse, or Trafilatura from the HTML and write it out as a single string within the “text” field of a JSON entry within a .jsonl file.download_wikipedia will download and extract the latest wikipedia dump. Files are downloaded using wget. Wikipedia might download slower than the other datasets. This is because they limit the number of downloads that can occur per-ip address.from nemo_curator.download import download_wikipediawikipedia = download_wikipedia("/extracted/output/folder", dump_date="20240201")"/extracted/output/folder" is the path to on your local filesystem where the final extracted files will be placed.dump_date="20240201" fixes the Wikipedia dump to a specific date. If no date is specified, the latest dump is used.download_arxiv will download and extract latex versions of ArXiv papers. They are hosted on S3, so ensure you have properly set up your credentials with s5cmd.from nemo_curator.download import download_arxivarxiv = download_arxiv("/extracted/output/folder")"/extracted/output/folder" is the path to on your local filesystem where the final extracted files will be placed.All of these functions return a DocumentDataset of the underlying dataset and metadata that was obtained during extraction. If the dataset has been downloaded and extracted at the path passed to it, it will read from the files there instead of downloading and extracting them again.Due to how massive each of these datasets are (with Common Crawl snapshots being on the order of hundreds of terrabytes) all of these datasets are sharded