| --- |
| license: cc-by-nd-4.0 |
| task_categories: |
| - text-classification |
| - question-answering |
| - text-generation |
| language: |
| - ar |
| tags: |
| - NLP |
| - Computer Science |
| size_categories: |
| - 100K<n<1M |
| --- |
| # Arbic Medical Q&A Dataset with Hierarchical Annotations |
|
|
| ## Dataset Description |
|
|
| This dataset contains Arabic medical question-answer pairs collected from altibbi.com for academic research purposes. This dataset is released for **non-commercial research use only** under the **CC BY-NC 4.0 license**. |
|
|
| ### Our Contribution |
|
|
| Our contribution consists of adding two new levels of annotations to create a hierarchical structure for the medical Q&A data, enabling more fine-grained analysis of medical question categorization, topic modeling, and healthcare information retrieval in Arabic. |
|
|
| ## Dataset Statistics |
|
|
| - **Source:** altibbi.com |
| - **Language:** Arabic |
| - **Content Type:** Medical question-answer pairs |
| - **Size:** 541k |
| - **Collection Period:** [December 2024 - March 2025] |
| - **Format:** CSV |
| - **Annotation Levels:** Level 1: Disciplines, Level 2: mid-Categories, Level 3: Specific condition] |
|
|
| ## Dataset Structure |
|
|
| ### Data Fields |
|
|
| - `question`: The original medical question text (Arabic) |
| - `answer`: The corresponding medical answer text (Arabic) |
| - `level_1_annotation`: Coarse-grained Annotations in Hierarchical Structure Dataset |
| - `level_2_annotation`: Mid-level Annotations in Hierarchical Structure Dataset |
| - `Level_3_annotation`: Fine-grained Annotations in Hierarchical Structure Dataset |
|
|
|
|
|
|
| ## Intended Use |
|
|
| This dataset is intended for **non-commercial academic research** in: |
|
|
| - Arabic natural language processing (NLP) |
| - Medical information retrieval |
| - Healthcare question classification and categorization |
| - Medical topic modeling |
| - Arabic medical named entity recognition |
| - Healthcare chatbot development (research only) |
| - Cross-lingual medical NLP studies |
|
|
| ## Limitations and Considerations |
|
|
| - **Language:** All content is in Arabic; results may not generalize to other languages |
| - **Medical Context:** Content reflects medical practices and terminology common in Arab countries |
| - **Temporal Validity:** Medical information may become outdated as medical knowledge evolves |
| - **Not for Clinical Use:** This dataset is for research purposes only and should not be used for clinical decision-making |
| - **No Personal Information:** The dataset contains no personally identifiable information (PII) |
|
|
| ## License |
|
|
| This dataset is released under the **Creative Commons Attribution-Non Commercial 4.0 International License (CC BY-NC 4.0)**. |
|
|
| ### Key License Terms: |
|
|
| - ✅ **You are free to:** Share, copy, and adapt the material for non-commercial purposes |
| - ❌ **Non-commercial use only:** You may not use the material for commercial purposes |
| - ❌ **No warranty:** The dataset is provided "as is" without warranties of any kind |
|
|
| Full license text: https://creativecommons.org/licenses/by-nc/4.0/ |
|
|
| ## Citation |
|
|
| If you use this dataset in your research, please cite: |
|
|
|
|
|
|
| ## Ethical Considerations |
|
|
| - All data was collected from publicly accessible pages without authentication |
| - No personally identifiable information (PII) is included in the dataset |
| - The dataset is intended solely for academic research purposes |
| - Users should be aware of potential biases in medical Q&A content |
| - Researchers should not use this data to provide medical advice or clinical services |
|
|
|
|
