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  license: cc-by-nc-sa-4.0
 
 
 
 
 
 
 
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  license: cc-by-nc-sa-4.0
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+ language:
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+ - en
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+ tags:
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+ - biology
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+ - medical
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+ size_categories:
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+ - 100K<n<1M
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  ---
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+
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+ # Dataset Card
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+
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+ This dataset consists of abstracts from heart-related papers collected from PubMed. It can be used for pre-training a language model specialized in cardiology.
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+ The dataset was collected through the PubMed API, based on the names of heart-related journals and a glossary of cardiology terms.
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+
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+ ### Dataset Sources
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+ - **Repository:** [Pubmed](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k)
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+ - **Journal list:** [Scimago Journal & Country Rank](https://www.scimagojr.com/journalrank.php?category=2705#google_vignette)
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+ - **Glossary:** [National Institutes of Health](https://www.nia.nih.gov/health/heart-health/heart-health-glossary)
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+ [The Texas Heart Institute](https://www.texasheart.org/heart-health/heart-information-center/topics/a-z)
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+ - [Aiken Physicians Alliance](https://aikenphysicians.com/services/cardiology/cardiology-glossary-of-terms)
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+
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+ ### Use
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+
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+
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+ ```python
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+
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("stevhliu/demo")
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+ ```
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+