--- task_categories: - question-answering language: - en tags: - medical pretty_name: Med_data size_categories: - 100K](https://www.producthunt.com/products/medical_datasets) | [](https://x.com/PitchdeckEngine) | |:--:|:--:| # 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 | 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 | ![Chart1.png](./Medical_datasets/chart1.png) ## **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." }