args_me / README.md
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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.