π₯ Shifaa Arabic Mental Health Consultations π§
14
9 commits
1 linked in READMEs
updated Mar 8, 2025
README
π₯ Shifaa Arabic Mental Health Consultations π§
π Overview
Shifaa Arabic Mental Health Consultations is a high-quality dataset designed to advance Arabic medical language models.
This dataset provides 35,648 real-world medical consultations, covering a wide range of mental health concerns.
π Dataset Summary
- Size: 35,648 consultations
- Main Specializations: 7
- Specific Diagnoses: 123
- Languages: Arabic (Ψ§ΩΨΉΨ±Ψ¨ΩΨ©)
Why This Dataset?
πΉ Lack of Arabic medical data: Most NLP datasets focus on English, leaving a gap in Arabic medical AI.
πΉ Detailed Q&A format: Answers provide in-depth context on symptoms, diagnoses, and treatments.
πΉ Structured Hierarchy: Data is categorized into Main Specialization β Specific Diagnosis.
πΉ High Quality: Data is cleaned, free from missing values & duplicates.
π Dataset Features
Each row in the dataset contains:
| Column Name | Description |
|---|---|
Question Title | Short summary of the consultation |
Question | Full question asked by the patient |
Answer | Doctorβs detailed response |
Doctor Name | Name of the responding doctor |
Consultation Number | Unique consultation identifier |
Date of Answer | When the answer was provided |
Hierarchical Diagnosis | Main Specialization β Specific Diagnosis |
πΌοΈ Data Distribution
- 7 Main Specializations (e.g., Depression, Anxiety, PTSD)
- 123 Specific Diagnoses categorized under specializations
- Varied Question Lengths ranging from short inquiries to complex cases
π Usage & Applications
This dataset is ideal for:
β
Medical AI Assistants β Training chatbots & virtual doctors
β
Text Classification β Categorizing Arabic medical questions
β
Question Answering β Improving Arabic medical search engines
β
Predictive Models β Detecting mental health risks
The dataset was collected from the Islam Web website using web-scraping tools.
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π₯ Shifaa Arabic Mental Health Consultations π§
14
9 commits
1 linked in READMEs
updated Mar 8, 2025
README
π₯ Shifaa Arabic Mental Health Consultations π§
π Overview
Shifaa Arabic Mental Health Consultations is a high-quality dataset designed to advance Arabic medical language models.
This dataset provides 35,648 real-world medical consultations, covering a wide range of mental health concerns.
π Dataset Summary
- Size: 35,648 consultations
- Main Specializations: 7
- Specific Diagnoses: 123
- Languages: Arabic (Ψ§ΩΨΉΨ±Ψ¨ΩΨ©)
Why This Dataset?
πΉ Lack of Arabic medical data: Most NLP datasets focus on English, leaving a gap in Arabic medical AI.
πΉ Detailed Q&A format: Answers provide in-depth context on symptoms, diagnoses, and treatments.
πΉ Structured Hierarchy: Data is categorized into Main Specialization β Specific Diagnosis.
πΉ High Quality: Data is cleaned, free from missing values & duplicates.
π Dataset Features
Each row in the dataset contains:
| Column Name | Description |
|---|---|
Question Title | Short summary of the consultation |
Question | Full question asked by the patient |
Answer | Doctorβs detailed response |
Doctor Name | Name of the responding doctor |
Consultation Number | Unique consultation identifier |
Date of Answer | When the answer was provided |
Hierarchical Diagnosis | Main Specialization β Specific Diagnosis |
πΌοΈ Data Distribution
- 7 Main Specializations (e.g., Depression, Anxiety, PTSD)
- 123 Specific Diagnoses categorized under specializations
- Varied Question Lengths ranging from short inquiries to complex cases
π Usage & Applications
This dataset is ideal for:
β
Medical AI Assistants β Training chatbots & virtual doctors
β
Text Classification β Categorizing Arabic medical questions
β
Question Answering β Improving Arabic medical search engines
β
Predictive Models β Detecting mental health risks
The dataset was collected from the Islam Web website using web-scraping tools.