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--- |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for toxic-detection-testset-perturnations |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** |
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### Dataset Summary |
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This dataset a test set for toxic detection that contains both clean data and it's perturbed version with human-written perturbations online. |
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In addition, our dataset can be used to benchmark misspelling correctors as well. |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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English |
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## Dataset Structure |
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### Data Instances |
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``` |
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{ |
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"clean_version": "this is pretty much exactly how i feel damn", |
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"perturbed_version": "this is pretty much exactly how i feel daaammnn", |
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"toxicity": 0.7, |
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"obscene": 0.7, |
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"sexual_explicit": 0, |
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"identity_attack": 0, |
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... |
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"insult": 0.2, |
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"quality_mean": 4 |
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} |
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``` |
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### Data Fields |
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This dataset is derived from the [Jigsaw data](https://www.kaggle.com/competitions/jigsaw-unintended-bias-in-toxicity-classification/data). Hence, it keeps all the useful metrics and attributes. |
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**Main** |
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* clean_version |
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* perturbed_version |
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**Metrics** |
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* toxicity |
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* severe_toxicity |
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* obscene |
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* threat |
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* insult |
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* identity_attack |
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* sexual_explicit |
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**Identity attributes** |
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* male |
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* female |
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* transgender |
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* other_gender |
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* heterosexual |
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* homosexual_gay_or_lesbian |
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* bisexual |
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* other_sexual_orientation |
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* christian |
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* jewish |
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* muslim |
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* hindu |
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* buddhist |
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* atheist |
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* other_religion |
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* black |
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* white |
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* asian |
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* latino |
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* other_race_or_ethnicity |
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* physical_disability |
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* intellectual_or_learning_disability |
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* psychiatric_or_mental_illness |
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* other_disability |
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### Data Splits |
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test: 1339 |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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US Amazon MTurk workers with HIT Approval Rate greater than 98%, and Number of HITs approved greater than 1000. |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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[More Information Needed] |
