Omkar2118/datasets huggingface dataset:
A3D
Full name: AnAn Accident Detection

A new dataset of diverse traffic accidents.

Source: [Unsupervised Traffic Accident Detection in First-Person Videos](/paper/unsupervised-traffic-accident-detection-in)

Introducing paper: Unsupervised Traffic Accident Detection in First-Person Videos
Delicious
Full name: Delicious

**Delicious** : This data set contains tagged web pages retrieved from the website delicious.com.

Source: [Text segmentation on multilabel documents: A distant-supervised approach](https://arxiv.org/abs/1904.06730)
Image Source: [http://mlkd.csd.auth.gr/multilabel.html](http://mlkd.csd.auth.gr/multilabel.html)
Amazon Beauty
Full name: Amazon Beauty 5-core

This dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs).

Introducing paper: Bridging Language and Items for Retrieval and Recommendation
WeChat

The **WeChat** dataset for fake news detection contains more than 20k news labelled as fake news or not.

Introducing paper: Weak Supervision for Fake News Detection via Reinforcement Learning
KDD12

A clickthrough prediction dataset, for more information please see the [Kaggle page](https://www.kaggle.com/c/kddcup2012-track2)
FERG
Full name: Facial Expression Research Group Database

**FERG** is a database of cartoon characters with annotated facial expressions containing 55,769 annotated face images of six characters. The images for each character are grouped into 7 types of cardinal expressions, viz. anger, disgust, fear, joy, neutral, sadness and surprise.

Source: [VGAN-Based Image Representation Learningfor Privacy-Preserving Facial Expression Recognition](https://arxiv.org/abs/1803.07100)
Image Source: [http://grail.cs.washington.edu/projects/deepexpr/ferg-2d-db.html](http://grail.cs.washington.edu/projects/deepexpr/ferg-2d-db.html)

Introducing paper: Modeling Stylized Character Expressions via Deep Learning