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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
data_files:
- split: train
path: unbalanced/train-*
- split: test
path: unbalanced/test-*
- config_name: uncategorized
data_files:
- split: train
path: uncategorized/train-*
- split: test
path: uncategorized/test-*
dataset_info:
- config_name: balanced
features:
- name: page_title
dtype: string
- name: creation_date
dtype: string
- name: creator_name
dtype: string
- name: total_edits
dtype: int64
- name: total_editors
dtype: int64
- name: top_editors
dtype: string
- name: bots_editors_percentage
dtype: float64
- name: humans_editors_percentage
dtype: float64
- name: total_bytes
dtype: int64
- name: total_chars
dtype: int64
- name: total_words
dtype: int64
- name: page_text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 32565713
num_examples: 16000
- name: test
num_bytes: 8243228
num_examples: 4000
download_size: 18217654
dataset_size: 40808941
- config_name: unbalanced
features:
- name: page_title
dtype: string
- name: creation_date
dtype: string
- name: creator_name
dtype: string
- name: total_edits
dtype: int64
- name: total_editors
dtype: int64
- name: top_editors
dtype: string
- name: bots_editors_percentage
dtype: float64
- name: humans_editors_percentage
dtype: float64
- name: total_bytes
dtype: int64
- name: total_chars
dtype: int64
- name: total_words
dtype: int64
- name: page_text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 132509046
num_examples: 133120
- name: test
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num_examples: 33281
download_size: 59449711
dataset_size: 165801716
- config_name: uncategorized
features:
- name: page_title
dtype: string
- name: creation_date
dtype: string
- name: creator_name
dtype: string
- name: total_edits
dtype: int64
- name: total_editors
dtype: int64
- name: top_editors
dtype: string
- name: bots_editors_percentage
dtype: float64
- name: humans_editors_percentage
dtype: float64
- name: total_bytes
dtype: int64
- name: total_chars
dtype: int64
- name: total_words
dtype: int64
- name: page_text
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 607754601
num_examples: 455411
- name: test
num_bytes: 151613029
num_examples: 113853
download_size: 141377798
dataset_size: 759367630
source_datasets:
- Egyptian Wikipedia
tags:
- Wikipedia
---
# Detect Egyptian Wikipedia *Template-translated* Articles:
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://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.
## 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.
## Citations:
### Short Citation:
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**. *arXiv preprint arXiv:2404.00565*.
### BibTeX Citation:
```
@article{alshahrani2024leveraging,
title={Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition},
author={Saied Alshahrani and Hesham Haroon and Ali Elfilali and Mariama Njie and Jeanna Matthews},
year={2024},
eprint={2404.00565},
archivePrefix={arXiv},
primaryClass={cs.CL}
journal={arXiv preprint arXiv:2404.00565},
url={https://arxiv.org/abs/2404.00565}
}
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