File size: 3,721 Bytes
37277ef e63dba6 37277ef e63dba6 37277ef 9d4c33b 37277ef cf4e7d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 |
---
task_categories:
- question-answering
language:
- en
tags:
- medical
pretty_name: Med_data
---
# Complete Dataset
Access the complete dataset using the link below:
[Download Dataset](https://fp2s.short.gy/dataset)
For more information or assistance, feel free to contact us at **[email protected]**.
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
βββ evaluation-medical-instruction-datasets/
β βββ evaluation-medical-instruction-dataset.json
β βββ medmcqa-train-instruction-dataset.json
β βββ medqa-train-instruction-dataset.json
β βββ pubmedqa-train-instruction-train.json
βββ general-medical-instruction-datasets/
β βββ general-medical-instruction-dataset.json
β βββ GenMedGPT-5k.json
β βββ HealthCareMagic-100k.json
β βββ medical_meadow_wikidoc_medical_flashcards.json
β βββ medical_meadow_wikidoc_patient_info.json
β βββ medicationqa.json
βββ medical-preference-data.json
βββ 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.
## **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."
}
 |