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README.md

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 pretty_name: Вики Чтение
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+---
+# Dataset Card for Wikireading
+
+This is a dataset of book chapters scraped from a Russian website called Wikireading.
+
+## Dataset Details
+
+### Dataset Description
+
+Wikireading is a collection of non-fiction educational books in various domains: Biology, Art, History, Religion and much more. The books are highly educational and provide vast knowledge in different domains, making this dataset a good choice for pretraining.
+
+The resulting dataset contains \~26M rows, which in total contain \~7B tokens (\~28B characters) of mostly Russian text, with some books written in other slavic languages.
+
+- **Curated by:** [its5Q](https://huggingface.co/its5Q)
+
+### Dataset Sources
+
+Scraped from [Wikireading](https://www.wikireading.ru/)
+
+## Dataset Structure
+
+Each row in the dataset represents a single chapter of a book. Each row contains the book title (`book_title`), the author of that book (`book_author`), the HTML of the book returned by Wikireading, and the book's text extracted using Trafilatura. Additionally, there is a column named `litres_preview` that indicates whether or not this book is a preview provided by Litres and not a full book. Rows marked as a preview may contain incomplete chapters, but they should still provide some value.
+
+## More information
+
+All the works provided on Wikireading, and, inherently, in this dataset, are protected by copyright law, and I do not claim ownership of, or any rights to, the content included in this dataset. The inclusion of text data from these books does not imply any affiliation, endorsement, or sponsorship by the original authors or publishers. This dataset is provided solely for research, educational, and informational purposes.
+If you are a copyright holder and have any concerns regarding the inclusion of your work in this dataset, please contact me, and appropriate action will be taken to address your concerns.
+
+## Dataset Card Contact
+
+In case of any questions or concerns, I can be contacted on [Telegram](https://t.me/dno5iq).