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metadata
annotations_creators:
  - machine-generated
language_creators:
  - crowdsourced
languages:
  - '''en-US'''
licenses:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: Webis args.me argument corpus
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - text-retrieval
task_ids:
  - document-retrieval

Dataset Card for the args.me corpus

Table of Contents

Dataset Description

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

Document Retrieval, Argument Retrieval for Controversial Questions

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Creative Commons Attribution 4.0 International (CC BY 4.0)

Citation Information

@dataset{yamen_ajjour_2020_4139439,
  author       = {Yamen Ajjour and
                  Henning Wachsmuth and
                  Johannes Kiesel and
                  Martin Potthast and
                  Matthias Hagen and
                  Benno Stein},
  title        = {args.me corpus},
  month        = oct,
  year         = 2020,
  publisher    = {Zenodo},
  version      = {1.0-cleaned},
  doi          = {10.5281/zenodo.4139439},
  url          = {https://doi.org/10.5281/zenodo.4139439}
}

Contributions

Thanks to @github-username for adding this dataset.