---
task_categories:
- question-answering
language:
- en
tags:
- medical
pretty_name: Med_data
size_categories:
- 100K<n<1M
---

# Complete Dataset

Access the complete dataset using the link below:

[Download Dataset](https://fp2s.short.gy/dataset)

# Connect with Me on Happenstance  

Join me on Happenstance!  
[Click here to add me as a friend](https://happenstance.ai/invite/friend/y5OCIMc4sLNjSuMCFyyVtLxAoYU)  

Looking forward to connecting!

For more information or assistance, feel free to contact us at **harryjosh242@gmail.com**.

![Medical Dataset Screenshot](./Medical_datasets/Image.png)

short_description: Medical datasets for healthcare model training.
---

# **Medical Datasets**

This Medical dataset is crafted as a versatile resource for enthusiasts of data science, machine learning, and data analysis. It replicates the characteristics of real-world healthcare data, offering users a platform to practice, refine, and showcase their data manipulation and analytical skills within the healthcare domain.

## **Potential Uses**
- Building and testing predictive models specific to healthcare.
- Practicing techniques for data cleaning, transformation, and analysis.
- Designing visualizations to uncover insights into healthcare trends.
- Learning and teaching data science and machine learning concepts in a healthcare setting.

## **Acknowledgments**
- This dataset is entirely synthetic, created with a focus on respecting healthcare data privacy and security. It contains no real patient information and complies with privacy regulations.
- The goal is to support advancements in data science and healthcare analytics while inspiring innovative ideas.

## Directory Structure

├── evaluation-medical-instruction-datasets/
│   ├── evaluation-medical-instruction-dataset.json
│   ├── medmcqa-train-instruction-dataset.json
│   ├── medqa-train-instruction-dataset.json
│   └── pubmedqa-train-instruction-train.json
├── general-medical-instruction-datasets/
│   ├── general-medical-instruction-dataset.json
│   ├── GenMedGPT-5k.json
│   ├── HealthCareMagic-100k.json
│   ├── medical_meadow_wikidoc_medical_flashcards.json
│   ├── medical_meadow_wikidoc_patient_info.json
│   └── medicationqa.json
├── medical-preference-data.json
└── medical-pretraining-datasets/

## **Dataset Contents**

### **Evaluation Medical Instruction Datasets**
Contains datasets used for evaluating medical instruction models:
- `evaluation-medical-instruction-dataset.json`
- `medmcqa-train-instruction-dataset.json`
- `medial-train-instruction-dataset.json`
- `pubmedqa-train-instruction-train.json`

### **General Medical Instruction Datasets**
Contains general medical instruction datasets:
- `general-medical-instruction-dataset.json`
- `GenMedGPT-5k.json`
- `HealthCareMagic-100k.json`
- `medical_meadow_wikidoc_medical_flashcards.json`
- `medical_meadow_wikidoc_patient_info.json`
- `medicationqa.json`

### **Medical Preference Data**
- `medical-preference-data.json`: Contains data related to medical preferences.

### **Medical Pretraining Datasets**
Contains datasets used for pretraining medical models.

### **quality_report**

| Total Rows   | Missing Data (%) | Duplicate Rows (%) | Duplicate Rate (%) | Outlier Count | File Name                                      | Error |
|--------------|------------------|--------------------|--------------------|---------------|-----------------------------------------------|-------|
| 2,000,000    | 0                | 114                | 0.03              | 0             | evaluation-medical-instruction-dataset.json    | NaN   |
| 1,400,000    | 0                | 379                | 1.3               | 0             | general-medical-instruction-dataset.json       | NaN   |
| 27,000       | 0                | 0                  | 0                 | 0             | GenMedGPT-5k.json                              | NaN   |
| 560,000      | 0                | 0                  | 0                 | 0             | HealthCareMagic-100k.json                      | NaN   |
| 169,000      | 0                | 427                | 1.26              | 0             | medical_meadow_wikidoc_medical_flashcards.json | NaN   |
| 29,000       | 0                | 92                 | 1.55              | 0             | medical_meadow_wikidoc_patient_info.json       | NaN   |
| 50,000       | 0                | 0                  | 0                 | 0             | medical_meadow_wikidoc.json                    | NaN   |
| 120,000      | 0                | 0                  | 0                 | 0             | medical-preference-data.json                   | NaN   |
| 2,700        | 0                | 0                  | 0                 | 0             | medicationqa.json                              | NaN   |
| 910,000      | 0                | 0                  | 0                 | 0             | medmcqa-train-instruction-dataset.json         | NaN   |
| 50,000       | 0                | 0                  | 0                 | 0             | medqa-train-instruction-dataset.json           | NaN   |
| 120,000      | 0                | 0                  | 0                 | 0             | open-platypus.json                             | NaN   |
| 400,000      | NaN              | NaN                | NaN               | NaN           | pmc_and_guidelines_and_pubmedqa_train.txt      | NaN   |
| 200,000      | NaN              | NaN                | NaN               | NaN           | pmc_and_guidelines.txt                         | NaN   |
| 1,000,000    | 0                | 114                | 0.5               | 0             | pubmedqa-train-instruction-train.json          | NaN   |
| 250,000      | 0                | 320                | 6.55              | 0             | umls_relation.json                             | NaN   |
| 240,000      | 0                | 0                  | 0                 | 0             | umls.json                                      | NaN   |


## **Usage**
These datasets can be used to train and evaluate models for medical question answering and other related tasks. Each dataset is provided in **JSON** and **TXT** formats and contains various medical instructions, inputs, and outputs.

## Example

Here is an example entry from the `medicationqa.json` dataset:

```json
{
    "instruction": "Your role as a doctor requires you to answer the medical questions taking into account the patient's description.",
    "input": "how fast does the medication take to work amlodipine",
    "output": "After oral administration of therapeutic doses of amlodipine besylate, absorption produces peak plasma concentrations between 6 and 12 hours."
}