README.md

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Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information

Dataset Description

• Homepage: https://github.com/StrombergNLP/danfever
• Repository: https://stromberg.ai/publication/danfever/
• Paper: https://aclanthology.org/2021.nodalida-main.47/
• Leaderboard: [Needs More Information]
• Point of Contact: Leon Derczynski

Dataset Summary

We present a dataset, DanFEVER, intended for multilingual misinformation research. The dataset is in Danish and has the same format as the well-known English FEVER dataset. It can be used for testing methods in multilingual settings, as well as for creating models in production for the Danish language.

Supported Tasks and Leaderboards

This dataset supports the FEVER task, but in Danish.

Languages

This dataset is in Danish; the bcp47 is da_DK.

Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

A dump of the Danish Wikipedia of 13 February 2020 was stored as well as the relevant articles from Den Store Danske (excerpts only, to comply with copyright laws). Two teams of two people independently sampled evidence, and created and annotated claims from these two sites.

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

The source language is from Wikipedia contributors editors and from dictionary contributors and editors.

Annotations

Annotation process

Detailed in this paper.

Who are the annotators?

The annotators are native Danish speakers and masters students of IT; two female, two male, ages 25-35.

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

The purpose of this dataset is to enable construction of fact-checking systems in Danish. A system that succeeds at this may be able to identify questionable conclusions or inferences.

Discussion of Biases

The data is drawn from relatively formal topics, and so may perform poorly outside these areas.

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

[Needs More Information]

Citation Information

[Needs More Information]