---
dataset_info:
  features:
  - name: Disease
    dtype: string
  - name: Symptoms
    dtype: string
  - name: Treatments
    dtype: string
  splits:
  - name: QuyenAnh
    num_bytes: 107143
    num_examples: 400
  - name: ventis
    num_bytes: 487119
    num_examples: 6661
  - name: celikmus
    num_bytes: 1326158
    num_examples: 1058
  - name: duxTecblic
    num_bytes: 1685071
    num_examples: 5634
  - name: dhivyeshrk
    num_bytes: 28884286
    num_examples: 246945
  - name: IndianServers
    num_bytes: 178759
    num_examples: 796
  - name: itachi9604
    num_bytes: 629982
    num_examples: 4920
  - name: symptom2disease
    num_bytes: 235583
    num_examples: 1200
  download_size: 4859083
  dataset_size: 33534101
configs:
- config_name: default
  data_files:
  - split: QuyenAnh
    path: data/QuyenAnh-*
  - split: ventis
    path: data/ventis-*
  - split: celikmus
    path: data/celikmus-*
  - split: duxTecblic
    path: data/duxTecblic-*
  - split: dhivyeshrk
    path: data/dhivyeshrk-*
  - split: IndianServers
    path: data/IndianServers-*
  - split: itachi9604
    path: data/itachi9604-*
  - split: symptom2disease
    path: data/symptom2disease-*
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- medical
- diseases
---




# 🩺 Diseases Dataset

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.

---

## 📦 Dataset Summary

| Field      | Type   | Description                                  |
|------------|--------|----------------------------------------------|
| Disease    | string | Name of the disease or condition             |
| Symptoms   | string | List of symptoms or Description of symptomps             |
| Treatments | string | (Optional) Treatment suggestions if present  |

Most splits include disease and symptoms. Treatment data is available in a few sources (like `QuyenAnh`), and left blank where unavailable.

---

## 📊 Dataset Statistics

| Split Name       | Source Dataset                                 | Examples | Size      |
|------------------|--------------------------------------------------|----------|-----------|
| `QuyenAnh`       | `QuyenAnhDE/Diseases_Symptoms`                  | 400      | 107 KB    |
| `ventis`         | `venetis/symptom_text_to_disease_mk2`          | 6,661    | 487 KB    |
| `celikmus`       | `dux-tecblic/symptom-disease-dataset`          | 1,058    | 1.3 MB    |
| `duxTecblic`     | `dux-tecblic/symptom-disease-dataset` (mapped) | 5,634    | 1.7 MB    |
| `dhivyeshrk`     | `dhivyeshrk/Disease-Symptom-Extensive-Clean`   | 246,945  | 28.9 MB   |
| `IndianServers`  | `IndianServers/diseasessymptoms`               | 796      | 179 KB    |
| `itachi9604`     | `Disease-Symptom-Description-Dataset (Kaggle)` | 4,920    | 630 KB    |
| `symptom2disease`| `Symptom2Disease (Kaggle)`                     | 1,200    | 236 KB    |


---

## 🛠 Usage Example

```python
from datasets import load_dataset

dataset = load_dataset("kamruzzaman-asif/Diseases_Dataset", split="dhivyeshrk")

print(dataset[0])
# {
#   'Disease': 'Acne',
#   'Symptoms': 'skin rash, pimples, blackheads',
#   'Treatments': ''
# }