language:
- en
size_categories:
- 10K<n<100K
Dataset Card for toxic-detection-testset-perturnations
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This dataset a test set for toxic detection that contains both clean data and it's perturbed version with human-written perturbations online. In addition, our dataset can be used to benchmark misspelling correctors as well.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
Data Instances
{
"clean_version": "this is pretty much exactly how i feel damn",
"perturbed_version": "this is pretty much exactly how i feel daaammnn",
"toxicity": 0.7,
"obscene": 0.7,
"sexual_explicit": 0,
"identity_attack": 0,
...
"insult": 0.2,
"quality_mean": 4
}
Data Fields
This dataset is derived from the Jigsaw data. Hence, it keeps all the useful metrics and attributes.
Main
- clean_version
- perturbed_version
Metrics
- toxicity
- severe_toxicity
- obscene
- threat
- insult
- identity_attack
- sexual_explicit
Identity attributes
- male
- female
- transgender
- other_gender
- heterosexual
- homosexual_gay_or_lesbian
- bisexual
- other_sexual_orientation
- christian
- jewish
- muslim
- hindu
- buddhist
- atheist
- other_religion
- black
- white
- asian
- latino
- other_race_or_ethnicity
- physical_disability
- intellectual_or_learning_disability
- psychiatric_or_mental_illness
- other_disability
Data Splits
test: 1339
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
US Amazon MTurk workers with HIT Approval Rate greater than 98%, and Number of HITs approved greater than 1000.
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
[More Information Needed]