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
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://zenodo.org/record/4139439
- Repository: https://git.webis.de/code-research/arguana/args/args-framework
- Paper: Building an Argument Search Engine for the Web
- Leaderboard: https://touche.webis.de/
- Point of Contact: Webis Group
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.