SaiedAlshahrani
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README.md
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This dataset is introduced in a research paper titled "[***Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition***](https://arxiv.org/abs/2404.00565)", which is **accepted** at [LREC-COLING 2024](https://lrec-coling-2024.org/): [The 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT6)](https://osact-lrec.github.io/), and is currently released under an MIT license.
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## Dataset Sources:
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## Dataset Features:
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## Dataset Subsets:
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1. **Balanced**: A balanced subset of the dataset comprised 20K (10K for each class) and was split in the ratio of 80:20 for training and testing. This subset was filtered and processed using selected heuristic rules.
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2. **Unbalanced**: An unbalanced subset of the dataset comprised 166K and was split in the ratio of 80:20 for training and testing. This subset is the rest of the filtered and processed articles using selected heuristic rules.
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3. **Uncategorized**: Another unbalanced subset of the dataset comprised 569K and was split in the ratio of 80:20 for training and testing, but this was classified automatically using the `XGBoost` classifier trained using the balanced subset.
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## Citations:
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Please cite our paper if you have used our dataset in any way 😊
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This dataset is introduced in a research paper titled "[***Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition***](https://arxiv.org/abs/2404.00565)", which is **accepted** at [LREC-COLING 2024](https://lrec-coling-2024.org/): [The 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT6)](https://osact-lrec.github.io/), and is currently released under an MIT license.
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## Dataset Sources:
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This Egyptian Arabic Wikipedia articles dataset was extracted from the complete [Wikipedia dumps](https://dumps.wikimedia.org/backup-index.html) of the Egyptian Arabic Wikipedia edition, downloaded on the 1st of January 2024, and processed using the [Gensim](https://radimrehurek.com/gensim/) Python library.
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## Dataset Features:
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We utilized the Wikimedia [XTools API](https://www.mediawiki.org/wiki/XTools) to collect the Egyptian Arabic Wikipedia articles’ metadata (dataset features). Specifically, we collected the follwoing metadata/features: **total edits**, **total editors**, **top editors**, **total bytes**, **total characters**, **total words**, **creator name**, and **creation date** for each article.
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## Dataset Subsets:
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1. **Balanced**: A balanced subset of the dataset comprised 20K (10K for each class) and was split in the ratio of 80:20 for training and testing. This subset was filtered and processed using selected heuristic rules.
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2. **Unbalanced**: An unbalanced subset of the dataset comprised 166K and was split in the ratio of 80:20 for training and testing. This subset is the rest of the filtered and processed articles using selected heuristic rules.
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3. **Uncategorized**: Another unbalanced subset of the dataset comprised 569K and was split in the ratio of 80:20 for training and testing, but this was classified automatically using the `XGBoost` classifier trained using the balanced subset.
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## Citations:
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Please cite our paper if you have used our dataset in any way 😊
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