ArxivBulkDataset / README.md
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metadata
license: mit
language:
  - en
pretty_name: Arxiv Bulk Dataset
size_categories:
  - 1M<n<10M
task_categories:
  - summarization
  - feature-extraction
  - text-classification

Arxiv Bulk Dataset

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset

ArXiv Bulk Dataset

This dataset is a bulk fetch of ArXiv articles, based on the official metadata dataset maintained and updated by Cornell https://www.kaggle.com/datasets/Cornell-University/arxiv/data.

This dataset was created to provide cross-domain academic training data, with existing datasets being domain-specific, and manual fetches being time-intensive.

Each article has the id, enabling lookup within the metadata dataset, the raw PDF content, and the content with cleaning to remove PDF, XML, and LaTeX artifacts.

Dataset Description

  • Curated by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
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Dataset Sources [optional]

  • Repository: [More Information Needed]
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Uses

Direct Use

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Out-of-Scope Use

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Dataset Structure

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Dataset Creation

Curation Rationale

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Source Data

Data Collection and Processing

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Who are the source data producers?

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Annotations [optional]

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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Dataset Card Authors [optional]

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Dataset Card Contact

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