Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
hate-speech-detection
Languages:
Romanian
Size:
1K - 10K
Tags:
hate-speech-detection
License:
license: apache-2.0 | |
annotations_creators: | |
- expert-generated | |
language_creators: | |
- found | |
task_categories: | |
- text-classification | |
language: | |
- ro | |
multilinguality: | |
- monolingual | |
source_datasets: | |
- original | |
tags: | |
- hate-speech-detection | |
task_ids: | |
- hate-speech-detection | |
pretty_name: News-RO-Offense | |
size_categories: | |
- 1K<n<10K | |
extra_gated_prompt: 'Warning: this repository contains harmful content (abusive language, | |
hate speech).' | |
# Dataset Card for "RO-News-Offense" | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** [https://github.com/readerbench/news-ro-offense](https://github.com/readerbench/news-ro-offense) | |
- **Repository:** [https://github.com/readerbench/news-ro-offense](https://github.com/readerbench/news-ro-offense) | |
- **Paper:** News-RO-Offense - A Romanian Offensive Language Dataset and Baseline Models Centered on News Article Comments | |
- **Point of Contact:** [Andrei Paraschiv](https://github.com/AndyTheFactory) | |
### Dataset Summary | |
a novel Romanian language dataset for offensive message detection with manually | |
annotated comment from a local Romanian news website (stiri de cluj) into five classes: | |
* non-offensive | |
* targeted insults | |
* racist | |
* homophobic | |
* sexist | |
Resulting in 4052 annotated messages | |
### Languages | |
Romanian | |
## Dataset Structure | |
### Data Instances | |
An example of 'train' looks as follows. | |
``` | |
{ | |
'comment_id': 5, | |
'reply_to_comment_id':2, | |
'comment_nr': 1, | |
'content_id': 23, | |
'comment_text':'PLACEHOLDER TEXT', | |
'LABEL': 3 | |
} | |
``` | |
### Data Fields | |
- `comment_id`: The unique comment ID, | |
- `reply_to_comment_id`: contains the header comment, if part of a conversation tree, otherwise empty | |
- `comment_nr`: the comments current number on the article | |
- `content_id`: the article ID | |
- `comment_text`: full comment text | |
- `LABEL`: 0 = Non-offensive, 1 = Targeted insult, 2 = Racist, 3 = Homophobic, 4 = Sexist | |
### Data Splits | |
| name |train|test| | |
|---------|----:|---:| | |
|ro|x|x| | |
## Dataset Creation | |
### Curation Rationale | |
Collecting data for abusive language classification for Romanian Language. | |
### Source Data | |
News Articles comments | |
#### Initial Data Collection and Normalization | |
#### Who are the source language producers? | |
News Article readers | |
### 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 | |
``` | |
@misc{cojocaru2022news, | |
title = {News-RO-Offense - A Romanian Offensive Language Dataset and Baseline Models Centered on News Article Comments}, | |
author = {Cojocaru, Andreea and Paraschiv, Andrei and Dascălu, Mihai}, | |
year = 2022, | |
journal = {RoCHI - International Conference on Human-Computer Interaction}, | |
publisher = {MATRIX ROM}, | |
doi = {10.37789/rochi.2022.1.1.12}, | |
url = {http://dx.doi.org/10.37789/rochi.2022.1.1.12} | |
} | |
``` | |
### Contributions | |