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--- |
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dataset_info: |
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features: |
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- name: prompt |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 23746523 |
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num_examples: 16407 |
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download_size: 9001446 |
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dataset_size: 23746523 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: mit |
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task_categories: |
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- text2text-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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size_categories: |
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- 10K<n<100K |
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--- |
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# MedicalQnA-llama2 Dataset |
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This repository contains the MedQuad-MedicalQnADataset specifically formatted for use with the LLaMA 2 prompt template. The dataset consists of medical questions categorized by question type, along with their corresponding answers. It is designed for text-to-text generation and text-generation tasks, particularly focusing on the medical domain. |
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## Dataset Structure |
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The dataset is structured to include prompts that follow the LLaMA 2 template. Each prompt is generated from the medical questions and answers in the dataset, incorporating the question type into the system prompt. |
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### Example Prompt |
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Here is an example of how the prompts are formatted: |
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System prompt: This is a medical question of type: Question Type |
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```markdown |
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<s>[INST] <<SYS>> |
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This is a medical question of type: susceptibility. |
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<</SYS>> Who is at risk for Lymphocytic Choriomeningitis (LCM)? [/INST] LCMV infections can occur after exposure to fresh urine, droppings, saliva, or nesting materials from infected rodents. </s> |
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``` |
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## Reference |
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For more details and access to the dataset, visit the [Hugging Face Dataset Page](https://huggingface.co/datasets/keivalya/MedQuad-MedicalQnADataset) by Keivalya |
