size_categories:100K<n<1M format:parquet modality:text library:datasets library:dask library:mlcroissant library:polars region:us
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  - name: Abstract
    dtype: string
  - name: Reference
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    num_examples: 333484
  download_size: 297170756
  dataset_size: 580959070
configs:
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  data_files:
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    path: data/train-*
---

# Dataset Card for Cardiology Journals Abstracts and References (2000-2024)

<!-- Provide a quick summary of the dataset. -->

This dataset consists of abstracts and APA-style references from papers published between 2000 and 2024 in journals related to cardiology. The journals included are sourced from the SCImago Journal Rank in the category of cardiology.

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

This dataset contains abstracts and references in APA format for papers published in cardiology journals between 2000 and 2024. The dataset includes all relevant journals listed in the SCImago Journal Rank under the category "Cardiology". The purpose of this dataset is to provide a comprehensive collection of scholarly content for research and analysis in the field of cardiology.

- **Curated by:** jialvareza
- **Language(s) (NLP):** English


### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

This dataset is suitable for use in natural language processing tasks, including but not limited to text summarization, citation analysis, and academic research on cardiology. It can also be used for machine learning tasks that require large volumes of scholarly text, such as training models for academic recommendation systems or semantic search.

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

This dataset should not be used for generating automated medical advice or for any purpose that could lead to misinterpretation of medical information. It is not intended for use in any application where incorrect use of the data could result in harm.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

The dataset is organized into two main columns:

- **Abstract**: The text of the paper's abstract.
- **Reference**: The reference of the paper in APA format.

Each row corresponds to a single paper, with its abstract and corresponding APA reference.

## Dataset Creation

<!-- This section provides information on how the dataset was created, including any data collection or preprocessing steps. -->

The dataset was created by querying PubMed for papers published between 2000 and 2024 in the specified cardiology journals. The abstracts and references were extracted and formatted using Python's Entrez API from the BioPython library. The dataset includes only those papers that had available abstracts and proper bibliographic metadata for accurate APA referencing.

- **Data Collection**: The data was collected using PubMed's API, filtered by publication date and journal.
- **Preprocessing**: The abstracts were extracted as plain text, and the references were formatted in APA style.
