Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Polish
Size:
10K - 100K
License:
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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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.