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README.md
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license: cc-by-4.0
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---
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license: cc-by-4.0
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task_categories:
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- text-generation
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- question-answering
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language:
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- en
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tags:
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- medical
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- pharmacology
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- drugs
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- educational
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pretty_name: PharmaText-985
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size_categories:
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- n<1K
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---
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# 💊 PharmaText-985: Educational Drug Descriptions
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PharmaText-985 is a curated dataset containing **985 drug samples**. The dataset provides concise, high-quality descriptions of various medications, designed specifically for fine-tuning Large Language Models (LLMs) for educational and linguistic tasks in the medical domain.
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## 📊 Dataset Summary
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The dataset consists of two primary columns:
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1. **Drug_Name**: The common or brand name of the medication.
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2. **Description**: A comprehensive summary including the drug class, primary indications, and mechanism of action.
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The drug names were sourced from reputable pharmacological databases, and the descriptions were generated using **Google Gemini**, then manually cleaned to remove technical artifacts (like LaTeX or HTML tags).
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### Source Materials
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- [RxList](https://www.rxlist.com/)
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- [Drugs.com](https://www.drugs.com/)
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---
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## 🚀 Use Cases
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- **LLM Fine-Tuning**: Ideal for teaching models how to structure medical definitions.
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- **RAG Testing**: Use this as a small knowledge base for Retrieval-Augmented Generation (RAG) experiments.
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- **Educational Tools**: Building flashcard apps or glossary bots for pharmacy students.
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---
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