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Table of Contents

Dataset Description

Dataset Summary

The Cyberbullying Detection task was part of 2019 edition of PolEval competition. The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.

Supported Tasks and Leaderboards

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Languages

Polish

Dataset Structure

Data Instances

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Data Fields

  • sentence: an anonymized tweet in polish
  • target: 1 if tweet is described as bullying, 0 otherwise. The test set doesn't have labels so -1 is used instead.

Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

BSD 3-Clause

Citation Information

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Models trained or fine-tuned on cdt

None yet