

# 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

task_categories:text-classification task_ids:hate-speech-detection annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:ro license:apache-2.0 hate-speech-detection region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ro"], "license": "apache-2.0", "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pretty_name": "News-RO-Offense", "tags": ["hate-speech-detection"], "extra_gated_prompt": "Warning: this repository contains harmful content (abusive language, hate speech)."}
TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us 

Dataset Card for "RO-News-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: URL
* Repository: URL
* Paper: News-RO-Offense - A Romanian Offensive Language Dataset and Baseline Models Centered on News Article Comments
* Point of Contact: Andrei Paraschiv


### 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.


### 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



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


### Contributions



### 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. ### 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



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 ### Contributions
TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us 
 ### 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. ### 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



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 ### Contributions
passage: TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us 
### 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.### 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



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
---------------------------------