Dataset Card for EXALT-v1

A cross-lingual Emotion Detection dataset with an explainability component ie. Trigger Word Detection. We provide training data in English along with test data in 5 languages (Dutch, Russian, Spanish, English, and French).

For additional details, please refer our website at: lt3.ugent.be/exalt

Dataset Details

Dataset Description

A cross-lingual emotion detection & explainability dataset, that consists of two sub-tasks:

• Cross-lingual emotion detection task: Predict for each tweet the correct emotion label from 6 possible classes: Love, Joy, Anger, Fear, Sadness, Neutral in five target languages. English train set of ~6000 tweets, which can be used for training and validation. Smaller test sets of ~500 tweets for each of the test languages.

• Predict the text span triggering the predicted emotion label: Trigger word detection, a token-classification task that is focused on explaining which words are used to express the emotion. Detailed information on how these trigger words have been labeled can be found in the annotation guidelines.

• Curated by: LT3 Ghent University

• Language(s) (NLP): English, Dutch, French, Spanish, Russian

• License: CC4.0

Dataset Sources [optional]

• Website lt3.ugent.be/exalt
• Shared Task Codalab EXALT v1
• Paper: [coming soon]

Citation

BibTeX:

[More Information Needed]

Dataset Card Contact

Aaron Maladry Pranaydeep Singh Els Lefever