Update README.md

README.md

@@ -149,14 +149,15 @@ We release the heuristically filtered, manually processed, and automatically cla
 
 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. 
 
-🚧 Under Construction
 
-```bash
+## Please Cite:
+```
 @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},
@@ -167,4 +168,5 @@ This dataset is introduced in a research paper titled "[***Leveraging Corpus Met
       journal={arXiv preprint arXiv:2404.00565},
       url={https://arxiv.org/abs/2404.00565}
 }
-```
+```
+