Medi-Science / README.md
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---
license: apache-2.0
task_categories:
- text-generation
- question-answering
- summarization
language:
- en
tags:
- medical
- medicine
- type
- anamoly
- medi-science
- biology
- synthetic
size_categories:
- 10K<n<100K
---
# Medi-Science Dataset
The **Medi-Science** dataset is a comprehensive collection of medical Q&A data designed for text generation, question answering, and summarization tasks in the healthcare domain.
## Dataset Overview
- **Name**: Medi-Science
- **License**: Apache-2.0
- **Languages**: English
- **Tags**: Medical, Medicine, Anomaly, Biology, Medi-Science
- **Number of Rows**: 16,412
- **Dataset Size**:
- Downloaded: 22.7 MB
- Auto-converted Parquet: 8.94 MB
## Dataset Structure
The dataset contains the following columns:
| Column | Type | Description |
|--------------|--------|-----------------------------------------------------------------------------------------------|
| `problem` | String | The medical-related question or problem statement. |
| `explanation`| String | A detailed explanation or answer to the problem/question. |
| `type` | String | The category or type of medical issue (e.g., Glaucoma). |
### Example Rows
| Problem | Explanation | Type |
|-------------------------------------|------------------------------------------------------------------------------------------------------------------------|-----------|
| What is (are) Glaucoma? | Glaucoma is a group of diseases that can damage the eye's optic nerve and result in vision loss and blindness. | Glaucoma |
| What causes Glaucoma? | Nearly 2.7 million people have glaucoma, a leading cause of blindness in the United States. | Glaucoma |
| What are the symptoms of Glaucoma? | Symptoms of glaucoma can develop in one or both eyes. The most common type of glaucoma is open-angle glaucoma. | Glaucoma |
| What are the treatments for Glaucoma?| Although open-angle glaucoma cannot be cured, it can usually be controlled. | Glaucoma |
## Applications
This dataset is ideal for tasks such as:
- Training models for medical question answering.
- Developing summarization models for medical explanations.
- Building intelligent systems for healthcare support.
## Usage
To use this dataset, you can load it directly with the Hugging Face Datasets library:
```python
from datasets import load_dataset
dataset = load_dataset("prithivMLmods/Medi-Science")
```