Datasets:
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---
license: mit
task_categories:
- multiple-choice
language:
- am
- so
- ti
- or
pretty_name: ethio-emotion
size_categories:
- 1K<n<10K
language_details: amh, som, tir, orm,
tags:
- ethiopia
- amharic
- emotion
- oromo
- tigrenya
task_ids:
- multiple-choice-qa
configs:
- config_name: amh
data_files:
- split: dev
path: dev/amh.csv
- split: test
path: test/amh.csv
- split: train
path: train/amh.csv
- config_name: orm
data_files:
- split: dev
path: dev/orm.csv
- split: test
path: test/orm.csv
- split: train
path: train/orm.csv
- config_name: tir
data_files:
- split: dev
path: dev/tir.csv
- split: test
path: test/tir.csv
- split: train
path: train/tir.csv
- config_name: som
data_files:
- split: dev
path: dev/som.csv
- split: test
path: test/som.csv
- split: train
path: train/som.csv
---
## Citation
If you use this dataset, please cite the following papers:
```
@inproceedings{belay-etal-2025-evaluating,
title = {Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding},
author = {Belay, Tadesse Destaw and Azime, Israel Abebe and Ayele, Abinew Ali and
Sidorov, Grigori and Klakow, Dietrich and Slusallek, Philip and Kolesnikova, Olga and
Yimam, Seid Muhie},
booktitle = {Proceedings of the 31st International Conference on Computational Linguistics},
month = jan,
year = {2025},
address = {Abu Dhabi, UAE},
publisher = {Association for Computational Linguistics},
url = {https://arxiv.org/abs/2412.17837},
pages = {3523--3540}
}
``` |