irony
Datasets
All datasets matching “irony”0IEpEbL_Z3IlugLAO1sr_LLgoZ_nAJrCcrema-d-irony
CREMA-D-Irony
A controllable irony extension of CREMA-D,
introduced in SynIB: An Informational Bottleneck for Maximizing Synergy in Multimodal Learning
(arXiv:2606.09853 · code: github.com/kkontras/SynIB).
For a fraction α of clips, the original video is kept but its audio is replaced with a donor
clip carrying a contradicting emotion, and the sample is relabeled SAR (ironic). The label then
becomes recoverable only by combining audio and video — a controllable amount of… See the full description on the dataset page: https://huggingface.co/datasets/kkontras/crema-d-irony.task386_semeval_2018_task3_irony_detection
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task386_semeval_2018_task3_irony_detection
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task386_semeval_2018_task3_irony_detection.IronyTRHomepage: https://github.com/teghub/IronyTR
Labels:
0: non-ironic
1: ironic
EPIC_Irony
EPIC_Irony
paper: EPIC: Multi-Perspective Annotation of a Corpus of Irony at ACL 2023
Key features:
EPIC (English Perspectivist Irony Corpus) is an annotated corpus for irony analysis based on data perspectivism principles.
The corpus contains social media conversations in five regional varieties of English, annotated by contributors from corresponding countries.
The dataset explores the perspectives of annotators, taking into account their origin, age, and gender.… See the full description on the dataset page: https://huggingface.co/datasets/CreativeLang/EPIC_Irony.multilingual_irony