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  1. I’d like to download the entirety of Wikipedia (text, titles, no photos) for offline use. Has anyone else done this before? I’ve tried following the instructions on Wikipedia itself and it’s been very confusing.

    • Data Preprocessing
    • Creating The LSTM Model
    • Training Using Fastai
    • Conclusion

    You might wonder why we’re using a smaller model. If we have the whole Wikitext data available (through fastai), then why not use that? There are two main reasons: whenever you begin a modelling task, always start with a subset of data. It allows you to set up your pipeline, iterate more quickly, and experiment more easily. Once you’ve got the whol...

    Whilst LSTMs can partly solve the issue of exploding or vanishing gradients in comparison to RNNs, there are still three key things we can do to ensure our LSTM is regularised and doesn’t overfit. These were all introduced in a seminal paper by Merity, Keskar and Socher. In order of importance, they are: 1. Dropout 2. Activation and temporal regula...

    Batches

    Whilst having this knowledge of how tokenisation and numericalisation works in language models is important for debugging, we can actually use fastai’s inbuilt modules to do it for us. For our purposes, we don’t even need to pass a DataLoader object to DataLoaders. We can create a dataloaders using a Datasets object, which I find to be easier when dealing with Pandas DataFrames.First, we’ll concatenate our training and test texts into one big contiguous stream, as we did above. Then, we’ll cr...

    Language-model learner

    We can save ourselves a lot of hassle by using a built-in language model learner in fastai that also uses an optimised AWD-LSTM architecture. It will also be a much bigger model than the one we used above. We construct the learner in pretty much the same way, but pass in AWD-LSTMas the model. We also include perplexity as a metric, which is simply the exponential of the loss, and is commonly used in language models. We call fit_one_cycleon the learner, and once an epoch is complete, we’ll sav...

    Saving and loading models

    Call learn.save("final_model"). This will create a file in learn.path/models/ named “final_model”. We can reload the weights of this model to the learner with learn.load("final_model").

    In this article, we covered how to build a language model with Pytorch and fastai, which is a model that can predict the next word in a sentence. We trained our model on several thousand Wikipedia articles, and improved accuracy by nearly triple, and used the LSTM to generate an article about Michael Jordan. If you want to find out more about how t...

    • Charlie O'neill
  2. Access all of Wikipedia offline, without an internet connection! It is currently in the beta stage of development, but is functional. It is available for download here. Features. Displays all articles from Wikipedia without an internet connection. Download a complete, recent copy of English Wikipedia. Display 5.2+ million articles in full HTML ...

  3. Apr 6, 2022 · If one type of topic or person is chronically under-represented in Wikipedias corpus, we can expect generative text models to mirror — or even amplify — that under-representation in their outputs.

    • Jeremie Harris
    • Wiki Good Article (Twitter): Daily Random Article Worth Reading. Did you know that Wikipedia has a few criteria for what makes a good article? In fact, it made a list of these "good articles" that you can read.
    • Copernix (Web): World Map With Wikipedia Entries. Copernix is a mixture of Google Maps and Wikipedia. It is a fascinating way to browse the map of the world and learn new things about it.
    • Weeklypedia (Web): Weekly List of Major Changes in Wikipedia. Wikipedia is a good indicator of important happenings. When any major event takes place in the world, editors hop on to related articles about that event and start updating it.
    • WikiTweaks (Chrome): Better Looking Wikipedia and History Tracking. As amazing as Wikipedia is, its design could be far better. The amount of wasted space on any page doesn't seem optimized for reading, especially when there are tables, charts, or images.
  4. I'm completely sure I remember when Wikipedia articles and collections started showing up on Amazon. I recommend simply asking PediaPress if they can make the nice PDFs you want, but don't be suprised if they charge you a token amount and add certain strings.

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  6. Jan 12, 2021 · 1. WikiRank (Web): Most Popular Wikipedia Pages in Any Category. What are the most popular films and books on Wikipedia, or the top businesses or cryptocurrencies, or simply the 10 most read articles of the day? WikiRank has all the data and statistics in a neat dashboard.