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- ---
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- license: apache-2.0
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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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- dataset_info:
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- features:
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- - name: id
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- dtype: int64
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- - name: title
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- dtype: string
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- - name: authors
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- dtype: string
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- - name: journal
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- dtype: string
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- - name: content
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- dtype: string
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- - name: source_url
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- dtype: string
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- - name: publication_types
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- sequence: string
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- - name: pubmed_id
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 1001771206
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- num_examples: 471336
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- download_size: 525136760
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- dataset_size: 1001771206
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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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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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: int64
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+ - name: title
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+ dtype: string
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+ - name: authors
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+ dtype: string
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+ - name: journal
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+ dtype: string
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+ - name: content
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+ dtype: string
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+ - name: source_url
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+ dtype: string
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+ - name: publication_types
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+ sequence: string
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+ - name: pubmed_id
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 1001771206
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+ num_examples: 471336
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+ download_size: 525136760
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+ dataset_size: 1001771206
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+ task_categories:
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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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+ - therapeutics
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+ pretty_name: Pubmed-Medline
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+ ---
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+ # PubMed Medline
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+ ## Overview
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+
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+ This dataset contains metadata and abstracts extracted from biomedical research publications indexed in **PubMed** (Date Accessed: 05/02/2025). The dataset is filtered to include only MEDLINE-indexed articles in the English language. Each record represents a single research publication with key metadata fields that provide insights into the article's content, authorship, and publication details.
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+
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+ ## Dataset Structure
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+
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+ Each record in the dataset represents a single PubMed article and contains the following fields:
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+
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+ * **id**: The unique identifier for the article (integer PubMed ID)
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+ * **pubmed_id**: The PubMed ID as a string format (for compatibility with external systems)
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+ * **title**: The full title of the research article
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+ * **authors**: Comma-separated list of author names
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+ * **journal**: Publication details including journal name, volume, issue, and publication date
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+ * **content**: The article abstract text
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+ * **source_url**: Direct link to the article on PubMed (format: https://pubmed.ncbi.nlm.nih.gov/{id}/)
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+ * **publication_types**: Array of publication types (e.g., "Journal Article", "Review", "Clinical Trial")
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+
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+ ## Acknowledgements
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+
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+ We acknowledge the National Library of Medicine (NLM) for maintaining PubMed and making biomedical literature metadata accessible for research purposes.
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+
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+