README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
languages:
  - ro
licenses:
  - apache-2.0
multilinguality:
  - monolingual
pretty_name: RO-FB-Offense
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - hate-speech-detection
  - text-classification-other-hate-speech-detection
extra_gated_prompt: >-
  Warning: this repository contains harmful content (abusive language, hate
  speech).

Dataset Card for "RO-FB-Offense"

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: https://github.com/readerbench/ro-fb-offense
• Repository:
• Paper: To be announced
• Point of Contact: Andrei Paraschiv

Dataset Summary

FB-RO-Offense corpus, an offensive speech dataset containing 4,455 user-generated comments from Facebook live broadcasts available in Romanian

The annotation follows the hierarchical tagset proposed in the Germeval 2018 Dataset. The following Classes are available:

• OTHER: Non-Offensive Language
• OFFENSIVE:
  • PROFANITY
  • INSULT
  • ABUSE

Languages

Romanian

Dataset Structure

Data Instances

An example of 'train' looks as follows.

{
  'sender': '$USER1208', 
  'no_reacts': 1,
  'text': 'PLACEHOLDER TEXT', 
  'label': OTHER, 
}

Data Fields

• sender: a string feature.
• 'no_reacts': a integer
• text: a string.
• label: categorical OTHER, PROFANITY, INSULT, ABUSE

Data Splits

name	train	test
ro	x	x

Dataset Creation

Curation Rationale

Collecting data for abusive language classification for Romanian Language.

Source Data

Facebook comments

Initial Data Collection and Normalization

Who are the source language producers?

Social media users

Annotations

Annotation process

Who are the annotators?

Native speakers

Personal and Sensitive Information

The data was public at the time of collection. No PII removal has been performed.

Considerations for Using the Data

Social Impact of Dataset

The data definitely contains abusive language. The data could be used to develop and propagate offensive language against every target group involved, i.e. ableism, racism, sexism, ageism, and so on.

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

This data is available and distributed under Apache-2.0 license

Citation Information

tbd

Contributions