--- license: cc-by-4.0 task_categories: - text-classification - token-classification language: - en - nl - ru - es - fr tags: - emotion - explainability - cross-lingual pretty_name: exalt size_categories: - 1K EXALT logo

# 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](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](https://biblio.ugent.be/publication/01HHSH3CDPHWA217Y73PHAVK5R). - **Curated by:** [LT3 Ghent University](lt3.ugent.be) - **Language(s) (NLP):** English, Dutch, French, Spanish, Russian - **License:** CC4.0 ### Dataset Sources [optional] - **Website** [lt3.ugent.be/exalt](lt3.ugent.be/exalt) - **Shared Task** [Codalab EXALT v1](https://codalab.lisn.upsaclay.fr/competitions/17730) - **Paper:** [coming soon] ## Citation **BibTeX:** [More Information Needed] ## Dataset Card Contact [Aaron Maladry](mailto:aaron.maladry@ugent.be) [Pranaydeep Singh](mailto:pranaydeep.singh@ugent.be) [Els Lefever](mailto:els.lefever@ugent.be)