Med-dataset/Med_Dataset

Complete Dataset

Data shown below is complete Medical dataset

Access the complete dataset using the link below:

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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	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:

{
    "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."
}