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dataset_size: 935821219
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# Wikipedia Turkish February 2023
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Processed and cleaned using Huggingface wikipedia cleaner.
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This is the latest version of Turkish Wikipedia dataset dump that contains 512377 examples.
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Based on Wikipedia dump of "20230220"
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dataset_size: 935821219
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# 📖 Hugging Face Dataset: Wikipedia Turkish February 2023
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Welcome to the Hugging Face dataset page for the Wikipedia Turkish February 2023 dataset! This dataset is a collection of articles from the Turkish Wikipedia and is designed to be used for masked language modeling and text generation tasks.
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## 📚 Dataset Info
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The dataset is organized into one split: "train". The "train" split contains 512,377 examples and has a size of 935,821,219 bytes. Each example in the dataset contains the following features: id, url, title, and text. The "id" feature is a string, while the "url", "title", and "text" features are all of dtype string.
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Based on Wikipedia dump of "20230220"
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Processed and cleaned using Huggingface wikipedia cleaner.
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## 🗣️ Annotations
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The articles in this dataset were not specifically annotated for any particular task, meaning that the dataset is unlabeled.
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## 🌐 Language
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This dataset is written in Turkish and was created using crowdsourcing methods by a team of volunteers.
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## 📜 License
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The Wikipedia Turkish February 2023 dataset is released under two licenses: CC-BY-SA 3.0 and GFDL. These licenses allow for the free use and distribution of the dataset with appropriate attribution.
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## 🌍 Multilinguality
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This dataset is not multilingual and is written solely in Turkish.
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## 💻 Source Datasets
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This dataset is an original dataset created from the Turkish Wikipedia.
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## 📝 Task Categories and IDs
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The Wikipedia Turkish February 2023 dataset is designed to be used for two main tasks: fill-mask and text-generation. The task IDs associated with this dataset are "masked-language-modeling".
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## 💾 Download Size
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The download size of the Wikipedia Turkish February 2023 dataset is 518,914,544 bytes.
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Thank you for using the Wikipedia Turkish February 2023 dataset! We hope it is useful for your language modeling and text generation tasks.
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