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MedQuAD_Formatted_QA.csv

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readme.md

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+# MedQuAD - Medical Question Answering Dataset
+
+## Dataset Overview
+
+MedQuAD (Medical Question Answering Dataset) is a collection of **16,407** medical question-answer pairs derived from **9 NIH websites**. It covers **37 question types** related to diseases, drugs, medical tests, and treatments. This dataset is useful for building **medical question-answering models**, **retrieval-augmented generation (RAG) systems**, and other **NLP applications** in the healthcare domain.
+
+## Dataset Structure
+
+The dataset is stored in CSV format with the following columns:
+
+| Column Name           | Description                                                    |
+| --------------------- | -------------------------------------------------------------- |
+| **text**              | A formatted string that includes both the question and answer. |
+| **query**             | The question asked.                                            |
+| **answers**           | The corresponding answer.                                      |
+| **topic\_embeddings** | Placeholder for clustering or topic embeddings. (Default: -1)  |
+| **group\_name**       | The medical category of the question-answer pair.              |
+
+### Example Entry
+
+```plaintext
+text: <HUMAN>: What is (are) Adult Acute Lymphoblastic Leukemia ?
+      <ASSISTANT>: Key Points
+                    - Adult acute lymphoblastic leukemia (ALL) is a type of cancer in which the bone marrow makes too many lymphocytes (a type of white blood cell).....
+              
+               
+                    
+query: What is (are) Adult Acute Lymphoblastic Leukemia ?
+answers: Key Points
+                    - Adult acute lymphoblastic leukemia (ALL) is a type of cancer in which the bone marrow makes too many lymphocytes (a type of white blood cell). ...
+topic_embeddings: 1
+group_name: 1_CancerGov_QA
+
+```
+
+## Usage
+
+You can load the dataset using **Hugging Face Datasets Library**:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("mukulb/clustered_MEDQUAD_dataset_with_groups")
+print(dataset["train"][0])
+```
+
+### Applications
+
+- **Medical Question-Answering Systems**
+- **Retrieval-Augmented Generation (RAG) for Healthcare**
+- **Named Entity Recognition (NER) for Medical Concepts**
+- **Semantic Search and Information Retrieval**
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```
+@article{MedQuAD,
+  author = {National Institutes of Health (NIH)},
+  title = {MedQuAD: Medical Question Answering Dataset},
+  year = {2025},
+  url = {https://github.com/your_repo_link_here}
+}
+```
+
+## License
+
+The dataset is available for **research purposes only**. Please refer to individual source websites for copyright information.
+
+## Contribution
+
+If you have any improvements or suggestions, feel free to open an issue or contribute via a pull request!
+
+---
+
+**Maintained by:** [Your Name]\
+📧 Contact: [[your.email@example.com](mailto\:your.email@example.com)]\
+🚀 Hosted on Hugging Face: [your\_hf\_username/MedQuAD]
+