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README.md
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@@ -85,6 +85,29 @@ Contains general medical instruction datasets:
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### **Medical Pretraining Datasets**
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Contains datasets used for pretraining medical models.
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## **Usage**
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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.
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### **Medical Pretraining Datasets**
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Contains datasets used for pretraining medical models.
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### **quality_report**
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| Total Rows | Missing Data (%) | Duplicate Rows (%) | Duplicate Rate (%) | Outlier Count | File Name | Error |
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|--------------|------------------|--------------------|--------------------|---------------|-----------------------------------------------|-------|
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| 2,000,000 | 0 | 114 | 0.03 | 0 | evaluation-medical-instruction-dataset.json | NaN |
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| 1,400,000 | 0 | 379 | 1.3 | 0 | general-medical-instruction-dataset.json | NaN |
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| 27,000 | 0 | 0 | 0 | 0 | GenMedGPT-5k.json | NaN |
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| 560,000 | 0 | 0 | 0 | 0 | HealthCareMagic-100k.json | NaN |
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| 169,000 | 0 | 427 | 1.26 | 0 | medical_meadow_wikidoc_medical_flashcards.json | NaN |
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| 29,000 | 0 | 92 | 1.55 | 0 | medical_meadow_wikidoc_patient_info.json | NaN |
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| 50,000 | 0 | 0 | 0 | 0 | medical_meadow_wikidoc.json | NaN |
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| 120,000 | 0 | 0 | 0 | 0 | medical-preference-data.json | NaN |
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| 2,700 | 0 | 0 | 0 | 0 | medicationqa.json | NaN |
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| 910,000 | 0 | 0 | 0 | 0 | medmcqa-train-instruction-dataset.json | NaN |
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| 50,000 | 0 | 0 | 0 | 0 | medqa-train-instruction-dataset.json | NaN |
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| 120,000 | 0 | 0 | 0 | 0 | open-platypus.json | NaN |
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| 400,000 | NaN | NaN | NaN | NaN | pmc_and_guidelines_and_pubmedqa_train.txt | NaN |
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| 200,000 | NaN | NaN | NaN | NaN | pmc_and_guidelines.txt | NaN |
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| 1,000,000 | 0 | 114 | 0.5 | 0 | pubmedqa-train-instruction-train.json | NaN |
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| 250,000 | 0 | 320 | 6.55 | 0 | umls_relation.json | NaN |
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| 240,000 | 0 | 0 | 0 | 0 | umls.json | NaN |
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## **Usage**
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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.
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