cdt / README.md
system's picture
system HF staff
Update files from the datasets library (from 1.18.0)
d2f0c34
|
raw
history blame
3.14 kB
metadata
annotations_creators:
  - expert-generated
language_creators:
  - other
languages:
  - pl
licenses:
  - 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 Card for [Dataset Name]

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

[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.