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--- |
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license: apache-2.0 |
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task_categories: |
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- question-answering |
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- text-generation |
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language: |
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- en |
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- ko |
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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_convert |
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import pandas as pd |
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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_convert(df_qa, ['Q_FFNN_embeds', 'A_FFNN_embeds']) |
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``` |
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