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83d24b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | from __future__ import annotations
from mteb.abstasks import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
class KurdishSentimentClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="KurdishSentimentClassification",
description="Kurdish Sentiment Dataset",
reference="https://link.springer.com/article/10.1007/s10579-023-09716-6",
dataset={
"path": "asparius/Kurdish-Sentiment",
"revision": "f334d90a9f68cc3af78cc2a2ece6a3b69408124c",
},
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["kur-Arab"],
main_score="accuracy",
date=("2023-01-01", "2024-01-02"),
form=["written"],
domains=["Web"],
task_subtypes=["Sentiment/Hate speech"],
license="CC BY 4.0",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=["Sorani"],
text_creation="found",
bibtex_citation="""
@article{article,
author = {Badawi, Soran and Kazemi, Arefeh and Rezaie, Vali},
year = {2024},
month = {01},
pages = {1-20},
title = {KurdiSent: a corpus for kurdish sentiment analysis},
journal = {Language Resources and Evaluation},
doi = {10.1007/s10579-023-09716-6}
}
""",
n_samples={"train": 6000, "test": 1987},
avg_character_length={"train": 59.38, "test": 56.11},
)
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