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@@ -53,4 +53,63 @@ configs:
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  path: data/itachi9604-*
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  - split: symptom2disease
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  path: data/symptom2disease-*
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data/itachi9604-*
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  - split: symptom2disease
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  path: data/symptom2disease-*
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+ license: apache-2.0
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ tags:
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+ - medical
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+ - diseases
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  ---
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+
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+
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+
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+
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+ # 🩺 Diseases Dataset
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+
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+ A consolidated medical dataset combining disease names, symptoms, and treatments collected from multiple public datasets across Hugging Face and Kaggle. This dataset can be used for building disease prediction, symptom clustering, and medical assistant models.
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+
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+ ---
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+
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+ ## 📦 Dataset Summary
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+
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+ | Field | Type | Description |
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+ |------------|--------|----------------------------------------------|
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+ | Disease | string | Name of the disease or condition |
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+ | Symptoms | string | List of symptoms or Description of symptomps |
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+ | Treatments | string | (Optional) Treatment suggestions if present |
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+
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+ Most splits include disease and symptoms. Treatment data is available in a few sources (like `QuyenAnh`), and left blank where unavailable.
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+
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+ ---
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+
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+ ## 📊 Dataset Statistics
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+
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+ | Split Name | Source Dataset | Examples | Size |
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+ |------------------|--------------------------------------------------|----------|-----------|
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+ | `QuyenAnh` | `QuyenAnhDE/Diseases_Symptoms` | 400 | 107 KB |
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+ | `ventis` | `venetis/symptom_text_to_disease_mk2` | 6,661 | 487 KB |
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+ | `celikmus` | `dux-tecblic/symptom-disease-dataset` | 1,058 | 1.3 MB |
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+ | `duxTecblic` | `dux-tecblic/symptom-disease-dataset` (mapped) | 5,634 | 1.7 MB |
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+ | `dhivyeshrk` | `dhivyeshrk/Disease-Symptom-Extensive-Clean` | 246,945 | 28.9 MB |
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+ | `IndianServers` | `IndianServers/diseasessymptoms` | 796 | 179 KB |
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+ | `itachi9604` | `Disease-Symptom-Description-Dataset (Kaggle)` | 4,920 | 630 KB |
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+ | `symptom2disease`| `Symptom2Disease (Kaggle)` | 1,200 | 236 KB |
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+
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+
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+ ---
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+
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+ ## 🛠 Usage Example
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("kamruzzaman-asif/Diseases_Dataset", split="dhivyeshrk")
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+
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+ print(dataset[0])
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+ # {
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+ # 'Disease': 'Acne',
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+ # 'Symptoms': 'skin rash, pimples, blackheads',
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+ # 'Treatments': ''
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+ # }