SaiedAlshahrani commited on
Commit
c8cc588
1 Parent(s): 1a60be1

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -4
README.md CHANGED
@@ -151,19 +151,17 @@ We release the heuristically filtered, manually processed, and automatically cla
151
 
152
  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.
153
 
154
-
155
  ## Dataset Sources:
156
-
157
 
158
  ## Dataset Features:
159
-
160
 
161
  ## Dataset Subsets:
162
  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.
163
  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.
164
  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.
165
 
166
-
167
  ## Citations:
168
  Please cite our paper if you have used our dataset in any way 😊
169
 
 
151
 
152
  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.
153
 
 
154
  ## Dataset Sources:
155
+ 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.
156
 
157
  ## Dataset Features:
158
+ 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.
159
 
160
  ## Dataset Subsets:
161
  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.
162
  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.
163
  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.
164
 
 
165
  ## Citations:
166
  Please cite our paper if you have used our dataset in any way 😊
167