

# Dataset Card for "RO-Offense-Sequences"

## 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
<!--
- **Paper:** News-RO-Offense - A Romanian Offensive Language Dataset and Baseline Models Centered on News Article Comments

-->
- **Homepage:** [https://github.com/readerbench/ro-offense-sequences](https://github.com/readerbench/ro-offense-sequences)
- **Repository:** [https://github.com/readerbench/ro-offense-sequences](https://github.com/readerbench/ro-offense-sequences)
- **Point of Contact:** [Teodora-Andreea Ion](mailto:theoion21.andr@gmail.com)
- 
### Dataset Summary
a novel Romanian language dataset for offensive sequence detection with manually 
annotated offensive sequences from a local Romanian sports news website (gsp.ro):


Resulting in 4800 annotated messages

### Languages

Romanian

## Dataset Structure


### Data Instances


An example of 'train' looks as follows.

```
{
  'id': 5,
  'text':'PLACEHOLDER TEXT',
  'offensive_substrings': ['substr1','substr2'],
  'offensive_sequences': [(0,10), (16,20)]
}
```


### Data Fields

- `id`: The unique comment ID, corresponding to the ID in [RO Offense](https://huggingface.co/datasets/readerbench/ro-offense)
- `text`: full comment text
- `offensive_substrings`: a list of offensive substrings. Can contain duplicates if some offensive substring appears twice
- `offensive_sequences`: a list of tuples with (start, end) position of the offensive sequences

  *Attention*: the sequences are computed for \n line sepparator! Git might convert the csv to \r\n.

### Data Splits

|  name   |train|validate|test|
|---------|----:|---:|---:|
|ro|4,000|400|400|


## Dataset Creation


### Curation Rationale

Collecting data for abusive language classification for Romanian Language.


### Source Data

Sports News Articles comments


#### Initial Data Collection and Normalization



#### Who are the source language producers?

Sports 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. 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

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

Dataset Card for "RO-Offense-Sequences"
=======================================


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
* Point of Contact: Teodora-Andreea Ion
* 


### Dataset Summary


a novel Romanian language dataset for offensive sequence detection with manually
annotated offensive sequences from a local Romanian sports news website (URL):


Resulting in 4800 annotated messages


### Languages


Romanian


Dataset Structure
-----------------


### Data Instances


An example of 'train' looks as follows.


### Data Fields


* 'id': The unique comment ID, corresponding to the ID in RO Offense
* 'text': full comment text
* 'offensive\_substrings': a list of offensive substrings. Can contain duplicates if some offensive substring appears twice
* 'offensive\_sequences': a list of tuples with (start, end) position of the offensive sequences


*Attention*: the sequences are computed for \n line sepparator! Git might convert the csv to \r\n.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


Collecting data for abusive language classification for Romanian Language.


### Source Data


Sports News Articles comments


#### Initial Data Collection and Normalization


#### Who are the source language producers?


Sports 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. 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 sequence detection with manually
annotated offensive sequences from a local Romanian sports news website (URL):


Resulting in 4800 annotated messages ### Languages


Romanian


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows. ### Data Fields


* 'id': The unique comment ID, corresponding to the ID in RO Offense
* 'text': full comment text
* 'offensive\_substrings': a list of offensive substrings. Can contain duplicates if some offensive substring appears twice
* 'offensive\_sequences': a list of tuples with (start, end) position of the offensive sequences


*Attention*: the sequences are computed for \n line sepparator! Git might convert the csv to \r\n. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale


Collecting data for abusive language classification for Romanian Language. ### Source Data


Sports News Articles comments #### Initial Data Collection and Normalization #### Who are the source language producers?


Sports 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. 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-token-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-readerbench/ro-offense #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us 
 ### Dataset Summary


a novel Romanian language dataset for offensive sequence detection with manually
annotated offensive sequences from a local Romanian sports news website (URL):


Resulting in 4800 annotated messages ### Languages


Romanian


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows. ### Data Fields


* 'id': The unique comment ID, corresponding to the ID in RO Offense
* 'text': full comment text
* 'offensive\_substrings': a list of offensive substrings. Can contain duplicates if some offensive substring appears twice
* 'offensive\_sequences': a list of tuples with (start, end) position of the offensive sequences


*Attention*: the sequences are computed for \n line sepparator! Git might convert the csv to \r\n. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale


Collecting data for abusive language classification for Romanian Language. ### Source Data


Sports News Articles comments #### Initial Data Collection and Normalization #### Who are the source language producers?


Sports 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. 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-token-classification #task_ids-hate-speech-detection #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-readerbench/ro-offense #language-Romanian #license-apache-2.0 #hate-speech-detection #region-us 
### Dataset Summary


a novel Romanian language dataset for offensive sequence detection with manually
annotated offensive sequences from a local Romanian sports news website (URL):


Resulting in 4800 annotated messages### Languages


Romanian


Dataset Structure
-----------------### Data Instances


An example of 'train' looks as follows.### Data Fields


* 'id': The unique comment ID, corresponding to the ID in RO Offense
* 'text': full comment text
* 'offensive\_substrings': a list of offensive substrings. Can contain duplicates if some offensive substring appears twice
* 'offensive\_sequences': a list of tuples with (start, end) position of the offensive sequences


*Attention*: the sequences are computed for \n line sepparator! Git might convert the csv to \r\n.### Data Splits



Dataset Creation
----------------### Curation Rationale


Collecting data for abusive language classification for Romanian Language.### Source Data


Sports News Articles comments#### Initial Data Collection and Normalization#### Who are the source language producers?


Sports 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. 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.