Datasets:
Tasks:
Token Classification
Modalities:
Text
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: | |
- token-classification | |
language: | |
- ro | |
multilinguality: | |
- monolingual | |
source_datasets: | |
- readerbench/ro-offense | |
tags: | |
- hate-speech-detection | |
task_ids: | |
- hate-speech-detection | |
pretty_name: RO-Offense-Sequences | |
size_categories: | |
- 1K<n<10K | |
extra_gated_prompt: 'Warning: this repository contains harmful content (abusive language, | |
hate speech).' | |
# 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:[email protected]) | |
- | |
### 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 | |