The world's largest toxicity dataset.

Last update: Dec 19, 2022

Overview

The Toxicity Dataset

Saving the internet is fun. Combing through thousands of online comments to build a toxicity dataset isn't. That's why we're creating the world's largest dataset of social media toxicity — so you can skip the slog and get to work.

We hope you find this dataset useful, whether you want to flag hateful speech, develop content moderation tools, or build classifiers to detect toxic messages.

Need a larger dataset of toxicity to train your ML models, or toxicity in other languages (Spanish, French, German, Japanese, Portuguese, and 17+ more)? We work with top AI and Safety companies around the world. Reach out to [email protected]!

Dataset

This repo contains 500 toxic and 500 non-toxic comments from a variety of popular social media platforms. Click on toxicity_en.csv to see a spreadsheet of 1000 English examples. Rather than operating under a strict definition of toxicity, we asked our team to identify comments that they personally found toxic.

Columns

text: the text of the comment
is_toxic: whether or not the comment is toxic

Future

We'll be adding more languages and annotations (e.g., augmenting each comment with a severity ranking, adding categories, etc) over time.

If you're also interested in a dataset of profanity, check out our obscenity list.

The world's largest toxicity dataset.

Related tags

Overview

The Toxicity Dataset

Dataset

Columns

Future

Owner

Surge AI

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The world's largest toxicity dataset.

Related tags

Overview

The Toxicity Dataset

Dataset

Columns

Future

Owner

Surge AI

Emulation and Feedback Fuzzing of Firmware with Memory Sanitization

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.

we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.

Code for Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing(ICCV21)

[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".

PyTorch code for training MM-DistillNet for multimodal knowledge distillation

MoveNet Single Pose on OpenVINO

PyTorch Implementation for Deep Metric Learning Pipelines

The implemention of Video Depth Estimation by Fusing Flow-to-Depth Proposals

Few-shot Neural Architecture Search

the official implementation of the paper "Isometric Multi-Shape Matching" (CVPR 2021)

Unicorn can be used for performance analyses of highly configurable systems with causal reasoning

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

optimization routines for hyperparameter tuning

UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon.