Datasets:
Tasks:
Text Classification
Sub-tasks:
text-scoring
Languages:
English
Size:
1M<n<10M
Tags:
toxicity-prediction
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - crowdsourced | |
| languages: | |
| - en | |
| licenses: | |
| - cc0-1-0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: Jigsaw Unintended Bias in Toxicity Classification | |
| size_categories: | |
| - 1M<n<10M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-scoring | |
| task_ids: | |
| - text-scoring-other-toxicity-prediction | |
| # Dataset Card for Jigsaw Unintended Bias in Toxicity Classification | |
| ## 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: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification ** | |
| - **Repository: N/A ** | |
| - **Paper: N/A ** | |
| - **Leaderboard: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/leaderboard ** | |
| - **Point of Contact: N/A ** | |
| ### Dataset Summary | |
| The Jigsaw Unintended Bias in Toxicity Classification dataset comes from the eponymous Kaggle competition. | |
| Please see the original [data](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/data) | |
| description for more information. | |
| ### Supported Tasks and Leaderboards | |
| The main target for this dataset is toxicity prediction. Several toxicity subtypes are also available, so the dataset | |
| can be used for multi-attribute prediction. | |
| See the original [leaderboard](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/leaderboard) | |
| for reference. | |
| ### Languages | |
| English | |
| ## Dataset Structure | |
| ### Data Instances | |
| A data point consists of an id, a comment, the main target, the other toxicity subtypes as well as identity attributes. | |
| For instance, here's the first train example. | |
| ``` | |
| { | |
| "article_id": 2006, | |
| "asian": NaN, | |
| "atheist": NaN, | |
| "bisexual": NaN, | |
| "black": NaN, | |
| "buddhist": NaN, | |
| "christian": NaN, | |
| "comment_text": "This is so cool. It's like, 'would you want your mother to read this??' Really great idea, well done!", | |
| "created_date": "2015-09-29 10:50:41.987077+00", | |
| "disagree": 0, | |
| "female": NaN, | |
| "funny": 0, | |
| "heterosexual": NaN, | |
| "hindu": NaN, | |
| "homosexual_gay_or_lesbian": NaN, | |
| "identity_annotator_count": 0, | |
| "identity_attack": 0.0, | |
| "insult": 0.0, | |
| "intellectual_or_learning_disability": NaN, | |
| "jewish": NaN, | |
| "latino": NaN, | |
| "likes": 0, | |
| "male": NaN, | |
| "muslim": NaN, | |
| "obscene": 0.0, | |
| "other_disability": NaN, | |
| "other_gender": NaN, | |
| "other_race_or_ethnicity": NaN, | |
| "other_religion": NaN, | |
| "other_sexual_orientation": NaN, | |
| "parent_id": NaN, | |
| "physical_disability": NaN, | |
| "psychiatric_or_mental_illness": NaN, | |
| "publication_id": 2, | |
| "rating": 0, | |
| "sad": 0, | |
| "severe_toxicity": 0.0, | |
| "sexual_explicit": 0.0, | |
| "target": 0.0, | |
| "threat": 0.0, | |
| "toxicity_annotator_count": 4, | |
| "transgender": NaN, | |
| "white": NaN, | |
| "wow": 0 | |
| } | |
| ``` | |
| ### Data Fields | |
| - `id`: id of the comment | |
| - `target`: value between 0(non-toxic) and 1(toxic) classifying the comment | |
| - `comment_text`: the text of the comment | |
| - `severe_toxicity`: value between 0(non-severe_toxic) and 1(severe_toxic) classifying the comment | |
| - `obscene`: value between 0(non-obscene) and 1(obscene) classifying the comment | |
| - `identity_attack`: value between 0(non-identity_hate) or 1(identity_hate) classifying the comment | |
| - `insult`: value between 0(non-insult) or 1(insult) classifying the comment | |
| - `threat`: value between 0(non-threat) and 1(threat) classifying the comment | |
| - For a subset of rows, columns containing whether the comment mentions the entities (they may contain NaNs): | |
| - `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` | |
| - Other metadata related to the source of the comment, such as creation date, publication id, number of likes, | |
| number of annotators, etc: | |
| - `created_date` | |
| - `publication_id` | |
| - `parent_id` | |
| - `article_id` | |
| - `rating` | |
| - `funny` | |
| - `wow` | |
| - `sad` | |
| - `likes` | |
| - `disagree` | |
| - `sexual_explicit` | |
| - `identity_annotator_count` | |
| - `toxicity_annotator_count` | |
| ### Data Splits | |
| There are four splits: | |
| - train: The train dataset as released during the competition. Contains labels and identity information for a | |
| subset of rows. | |
| - test: The train dataset as released during the competition. Does not contain labels nor identity information. | |
| - test_private_expanded: The private leaderboard test set, including toxicity labels and subgroups. The competition target was a binarized version of the toxicity column, which can be easily reconstructed using a >=0.5 threshold. | |
| - test_public_expanded: The public leaderboard test set, including toxicity labels and subgroups. The competition target was a binarized version of the toxicity column, which can be easily reconstructed using a >=0.5 threshold. | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| The dataset was created to help in efforts to identify and curb instances of toxicity online. | |
| ### 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? | |
| [More Information Needed] | |
| ### 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 | |
| This dataset is released under CC0, as is the underlying comment text. | |
| ### Citation Information | |
| No citation is available for this dataset, though you may link to the [kaggle](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification) competition | |
| ### Contributions | |
| Thanks to [@iwontbecreative](https://github.com/iwontbecreative) for adding this dataset. | |