Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
dialects
indian-english
australian-english
british-english
sarcasm-classification
sentiment-classification
License:
metadata
license: cc-by-nc-4.0
task_categories:
- text-classification
language:
- en
tags:
- dialects
- indian-english
- australian-english
- british-english
- sarcasm-classification
- sentiment-classification
pretty_name: BESSTIE
size_categories:
- 10K<n<100K
Citation
@inproceedings{srirag-etal-2025-besstie,
title = "{BESSTIE}: A Benchmark for Sentiment and Sarcasm Classification for Varieties of {E}nglish",
author = "Srirag, Dipankar and
Joshi, Aditya and
Painter, Jordan and
Kanojia, Diptesh",
editor = "Che, Wanxiang and
Nabende, Joyce and
Shutova, Ekaterina and
Pilehvar, Mohammad Taher",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-acl.441/",
doi = "10.18653/v1/2025.findings-acl.441",
pages = "8413--8429",
ISBN = "979-8-89176-256-5",
}