Create README.md

README.md

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+---
+language:
+- en
+size_categories:
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+---
+
+# Dataset Card for toxic-detection-testset-perturnations
+
+## Table of Contents
+- [Table of Contents](#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:**
+- **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](https://www.kaggle.com/competitions/jigsaw-unintended-bias-in-toxicity-classification/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]