davidschulte/ESM_cdt_default
Updated
Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Polish
Size:
10K - 100K
License:
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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.
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Homepage:
2019.poleval.pl
Repository:
github.com
Paper:
Paper:
Leaderboard:
klejbenchmark.com
Point of Contact:
Point of Contact:
Total file size:
654 kB
Models trained or fine-tuned on ptaszynski/cdt