README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - other
language:
  - pl
license:
  - bsd-3-clause
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - sentiment-classification
paperswithcode_id: null
pretty_name: cdt
dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: target
      dtype:
        class_label:
          names:
            '0': '0'
            '1': '1'
  splits:
    - name: train
      num_bytes: 1104322
      num_examples: 10041
    - name: test
      num_bytes: 109681
      num_examples: 1000
  download_size: 375476
  dataset_size: 1214003

Dataset Card for [Dataset Name]

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • 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
  • Contributions

Dataset Description

• Homepage: http://2019.poleval.pl/index.php/tasks/
• Repository: https://github.com/ptaszynski/cyberbullying-Polish
• Paper:
• Leaderboard: https://klejbenchmark.com/leaderboard/
• Point of Contact:

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

[More Information Needed]

Languages

Polish

Dataset Structure

Data Instances

[More Information Needed]

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

[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

BSD 3-Clause

Citation Information

[More Information Needed]

Contributions

Thanks to @abecadel for adding this dataset.