| --- |
| task_categories: |
| - question-answering |
| language: |
| - en |
| tags: |
| - medical |
| pretty_name: Med_data |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # Complete Dataset |
|
|
| Data shown below is complete Medical dataset |
|
|
| Access the complete dataset using the link below: |
|
|
| [Download Dataset](https://fp2s.short.gy/dataset) |
|
|
| # Support Us on Product Hunt and X! |
| | [<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/8/89/Product_Hunt_Logo.svg/500px-Product_Hunt_Logo.svg.png?20190418040435" width="150">](https://www.producthunt.com/products/medical_datasets) | [<img src="https://upload.wikimedia.org/wikipedia/commons/2/2d/Twitter_X.png" width="40">](https://x.com/PitchdeckEngine) | |
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| # Connect with Me on Happenstance |
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| Join me on Happenstance! |
| [Click here to add me as a friend](https://happenstance.ai/invite/friend/y5OCIMc4sLNjSuMCFyyVtLxAoYU) |
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| Looking forward to connecting! |
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| For more information or assistance, feel free to contact us at **harryjosh242@gmail.com**. |
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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: |
| |
| ```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." |
| } |
| |
| |
| |
