Update README.md

README.md

@@ -1,4 +1,12 @@
 ---
+language: 
+  - ar
+tags:
+  - sentiment-classification
+  - arabic
+  - app-reviews
+  - text-classification
+  - nlp
 dataset_info:
   features:
   - name: review
@@ -10,14 +18,76 @@ dataset_info:
   - name: sentiment
     dtype: string
   splits:
-  - name: train
+  - name: full_dataset
     num_bytes: 4936876
     num_examples: 29700
   download_size: 2137765
   dataset_size: 4936876
 configs:
 - config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
 ---
+
+# AURA-Sentiment
+
+## Dataset Description
+
+The AURA Sentiment Dataset is a collection of 29,700 app reviews in Arabic from iOS and Android platforms. Each review is labeled with a sentiment class, enabling researchers and practitioners to develop and evaluate sentiment analysis models tailored to the Arabic language.
+### Features
+
+The dataset includes the following columns:
+- **review**: The text of the app review in Arabic.
+- **appName**: The name of the application reviewed.
+- **platform**: The platform from which the review was posted (iOS or Android).
+- **sentiment**: The sentiment label assigned to the review:
+  - `positive`
+  - `negative`
+
+### Dataset Statistics
+- **Total Reviews**: 29,700
+- **Platforms**: iOS and Android
+- **Applications**: Multiple apps spanning various categories.
+- **Sentiment Distribution**: Balanced between positive and negative reviews.
+
+### Example Rows
+| review                                                                                                  | appName                                   | platform | sentiment |
+|---------------------------------------------------------------------------------------------------------|------------------------------------------|----------|-----------|
+| جميل بس ليه فلوس انا ماعندي                                                                              | ﺷﺎﻫﺪ - Shahid                            | android  | positive  |
+| التطبيق السابق افضل                                                                                     | ALKAHRABA                                | android  | negative  |
+| تطبيق لا يستحق ولا نجمه انا عندي واجبات مايطلعه وإذا رحت قوقل القى الواجب بعدين اروح اشوف في التطبيق...   | مدرستي                                   | android  | negative  |
+| بعد التحديث الاخير لا أستطيع تسجيل الدخول ارجو حلها على الفور                                             | State of Survival: Zombie War            | ios      | negative  |
+| لعبه جميله جدا                                                                                          | State of Survival: Survive the Zombie... | android  | positive  |
+
+### Use Cases
+This dataset is suitable for:
+- Sentiment classification in Arabic-language text.
+- Developing and fine-tuning sentiment analysis models for app reviews.
+- Studying user feedback trends on mobile applications in Arabic-speaking regions.
+- Multilingual NLP research focused on sentiment tasks.
+
+### Citation
+If you use this dataset, please cite it as follows:
+
+```
+@article{Aljeezani2025arabic,
+  title={Arabic App Reviews: Analysis and Classification},
+  author={Aljeezani, Othman and  Alomari, Dorieh and Ahmad, Irfan},
+  journal={ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)},
+  pages={1--28},
+  year={to-appear},
+  publisher={ACM New York, NY, USA},
+}
+```
+
+## License
+
+This dataset is shared under the [MIT License](https://opensource.org/licenses/MIT). Please ensure appropriate attribution when using this dataset.
+
+## Acknowledgments
+
+Special thanks to the contributors and reviewers who made this dataset possible.
+
+## Contact
+
+For questions or feedback, please reach out to the corresponding author (Irfan Ahmad).
+