Datasets:
metadata
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:
from datasets import load_dataset
dataset = load_dataset("prithivMLmods/Medi-Science")