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01Ahmed-Selem /Shifaa_Arabic_Medical_Consultations Shifaa Arabic Medical Consultations 🏥📊 Overview 🌍 Shifaa is revolutionizing Arabic medical AI by addressing the critical gap in Arabic medical datasets. Our first contribution is the Shifaa Arabic Medical Consultations dataset, a comprehensive collection of 84,422 real-world medical consultations covering 16 Main Specializations and 585 Hierarchical Diagnoses. 🔍 Why is this dataset important? First large-scale Arabic medical dataset for AI applications.… See the full description on the dataset page: https://huggingface.co/datasets/Ahmed-Selem/Shifaa_Arabic_Medical_Consultations.textquestion-answering10K<n<100K13 likes383 downloads2y agoHugging Face02Ahmed-Selem /Shifaa_Arabic_Mental_Health_Consultations 🏥 Shifaa Arabic Mental Health Consultations 🧠 📌 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. 📊 Dataset Summary Size: 35,648 consultations Main Specializations: 7 Specific Diagnoses: 123 Languages: Arabic (العربية) Why This Dataset? 🔹 Lack of… See the full description on the dataset page: https://huggingface.co/datasets/Ahmed-Selem/Shifaa_Arabic_Mental_Health_Consultations.textquestion-answering10K<n<100K14 likes155 downloads2y agoHugging Face03FunDialogues /healthcare-minor-consultation This Dialogue Comprised of fictitious examples of dialogues between a doctor and a patient during a minor medical consultation.. Check out the example below: "id": 1, "description": "Discussion about a common cold", "dialogue": "Patient: Doctor, I've been feeling congested and have a runny nose. What can I do to relieve these symptoms?\n\nDoctor: It sounds like you have a common cold. You can try over-the-counter decongestants to relieve congestion and saline nasal sprays to help… See the full description on the dataset page: https://huggingface.co/datasets/FunDialogues/healthcare-minor-consultation.tabularquestion-answeringn<1K5 likes63 downloads3y agoHugging Face04tellang /yeji-jami-consultation ██╗ █████╗ ███╗ ███╗██╗ ███████╗██╗██╗ ██╗███████╗██╗ ██║██╔══██╗████╗ ████║██║ ╚══███╔╝██║██║ ██║██╔════╝██║ ██║███████║██╔████╔██║██║ ███╔╝ ██║██║ █╗ ██║█████╗ ██║ ██ ██║██╔══██║██║╚██╔╝██║██║ ███╔╝ ██║██║███╗██║██╔══╝ ██║ ╚█████╔╝██║ ██║██║ ╚═╝ ██║██║ ███████╗██║╚███╔███╔╝███████╗██║ ╚════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚══════╝╚═╝ ╚══╝╚══╝ ╚══════╝╚═╝ ⚡ PURPLE STAR ASTROLOGY ⚡ > ACCESS GRANTED: JAMI CONSULTATION > TYPE:… See the full description on the dataset page: https://huggingface.co/datasets/tellang/yeji-jami-consultation.imagetext-generationn<1K0 likes34 downloads8mo agoHugging Face05Youssefx64 /Medical-Consultation-Questions-in-Arabic Dataset Card for Dataset Name Dataset Details This dataset contains 47,705 Arabic medical questions collected from the Arabic health platform Altibbi. Each question is categorized into a medical domain such as sexual health, dermatology, pediatrics, and more. The dataset can be used for Natural Language Processing (NLP) tasks such as: "Text classification (predicting medical categories)". "Question answering systems in Arabic". "Building Arabic healthcare chatbots".… See the full description on the dataset page: https://huggingface.co/datasets/Youssefx64/Medical-Consultation-Questions-in-Arabic.texttext-classification10K<n<100K0 likes32 downloads4mo agoHugging Face

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