Datasets:
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README.md
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tags:
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- biology
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pretty_name: Medical domain QA dataset for training a medical chatbot.
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tags:
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- biology
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pretty_name: Medical domain QA dataset for training a medical chatbot.
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---
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# MQuAD
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The Medical Question and Answering dataset(MQuAD) has been refined, including the following datasets. You can download it through the Hugging Face dataset. Use the DATASETS method as follows.
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## Quick Guide
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```python
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from datasets import load_dataset
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dataset = load_dataset("danielpark/MQuAD-v1")
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```
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Medical Q/A datasets gathered from the following websites.
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- eHealth Forum
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- iCliniq
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- Question Doctors
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- WebMD
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Data was gathered at the 5th of May 2017.
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The MQuAD provides embedded question and answer arrays in string format, so it is recommended to convert the string-formatted arrays into float format as follows. This measure has been applied to save resources and time used for embedding.
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```python
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from datasets import load_dataset
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from utilfunction import col_converter
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qa = load_dataset("danielpark/MQuAD-v1", "csv")
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df_qa = pd.DataFrame(qa['train'])
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df_qa = col_converter(df, ['Q_FFNN_embeds', 'A_FFNN_embeds']
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```
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