Datasets:
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---
language:
- ar
license: mit
size_categories:
- 100K<n<1M
task_categories:
- text-classification
pretty_name: Detect-Egyptian-Wikipedia-Articles
configs:
- config_name: balanced
data_files:
- split: train
path: balanced/train-*
- split: test
path: balanced/test-*
- config_name: unbalanced
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path: unbalanced/train-*
- split: test
path: unbalanced/test-*
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data_files:
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path: uncategorized/train-*
- split: test
path: uncategorized/test-*
dataset_info:
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features:
- name: page_title
dtype: string
- name: creation_date
dtype: string
- name: creator_name
dtype: string
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dtype: int64
- name: total_editors
dtype: int64
- name: top_editors
dtype: string
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dtype: float64
- name: humans_editors_percentage
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- name: total_chars
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- name: total_words
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- name: label
dtype: string
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source_datasets:
- Egyptian Wikipedia
tags:
- Wikipedia
---
<center><h1> Detect Egyptian Wikipedia <i>Template-translated</i> Articles </h1></center>
## Dataset Description:
We release the heuristically filtered, manually processed, and automatically classified Egyptian Arabic Wikipedia articles dataset. This dataset was used to develop a **web-based detection system** to automatically identify the template-translated articles on the Egyptian Arabic Wikipedia edition. The system is called [**Egyptian Arabic Wikipedia Scanner**](https://egyptian-wikipedia-scanner.streamlit.app/) and is hosted on Hugging Face Spaces, here: [**SaiedAlshahrani/Detect-Egyptian-Wikipedia-Articles**](https://huggingface.co/spaces/SaiedAlshahrani/Egyptian-Wikipedia-Scanner).
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://aclanthology.org/2024.osact-1.4/)", 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.
## Dataset Sources:
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.
## Dataset Features:
We utilized the Wikimedia [XTools API](https://www.mediawiki.org/wiki/XTools) to collect the metadata (dataset features) of the Egyptian Arabic Wikipedia articles. Specifically, we collected the following metadata/features for each article: **total edits**, **total editors**, **top editors**, **total bytes**, **total characters**, **total words**, **creator name**, and **creation date**.
## Dataset Subsets:
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.
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.
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.
## Dataset Citations:
<s>Saied Alshahrani, Hesham Haroon, Ali Elfilali, Mariama Njie, and Jeanna Matthews. 2024. [Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition](https://arxiv.org/abs/2404.00565). *arXiv preprint arXiv:2404.00565*.</s>
Saied Alshahrani, Hesham Haroon, Ali Elfilali, Mariama Njie, and Jeanna Matthews. 2024. [Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition](https://aclanthology.org/2024.osact-1.4/). *In Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024*, pages 31–45, Torino, Italia. ELRA and ICCL.*
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