18 datasets found

The HappyDB dataset is a corpus of 100,000 crowdsourced happy moments, each described in a text sentence.

EmoLex

The Memotion Dataset 7K is a collection of 7000 memes with associated metadata.

Annotating expressions of opinions and emotions in language

The WASSA 2017 Emotion Intensity Shared task dataset is a collection of 7097 annotated tweets, classified into 4 categories: joy, anger, fear, and sadness.

The Tweet Emotion Intensity Dataset was created using best–worst scaling and crowdsourcing.

Emotion Recognition in Speech Using Cross-Modal Transfer in the Wild.

EMO-DB is a speech emotion database containing 10 actors speaking 10 sentences in German with archetypical emotions.

asya is a mobile application that listens to a person’s voice and provides private feedback on a person’s verbal communication.

The GoEmotions dataset, a collection of 58k Reddit comments labeled according to the publisher affect from a taxonomy of 28 emotions.

The Twitter Dataset is a collection of tweets annotated with Plutchik's emotions, consisting of tweets in three different languages: English, Dutch, and German.

The Empathetic Dialogue dataset is a dataset of conversations related to daily life, each with an emotion label, a situation described in text, and a short two-party dialogue.

The SEED dataset contains 15 subjects recorded while watching movie clips designated with a negative/neutral/positive emotion label.

The Emotion Classification dataset consists of emotion-related text.

The Memotion Dataset is an open-sourced dataset containing 14K annotated memes with human-annotated labels.

A custom dataset for facial feature restoration, containing 36 test subjects with and without sEMG sensors attached to their faces.

The EmpatheticDialogues dataset is a text dataset for training empathetic AI chatbots, consisting of 25k conversations grounded in emotional situations with emotion labels.

Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.