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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 45 46 47 48 49 | from __future__ import annotations
from mteb.abstasks import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
class MacedonianTweetSentimentClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="MacedonianTweetSentimentClassification",
description="An Macedonian dataset for tweet sentiment classification.",
reference="https://aclanthology.org/R15-1034/",
dataset={
"path": "isaacchung/macedonian-tweet-sentiment-classification",
"revision": "957e075ba35e4417ba7837987fd7053a6533a1a2",
},
type="Classification",
category="s2s",
date=["2014-11-01", "2015-04-01"],
eval_splits=["test"],
eval_langs=["mkd-Cyrl"],
main_score="accuracy",
form=["written"],
domains=["Social"],
task_subtypes=["Sentiment/Hate speech"],
license="CC BY-NC-SA 3.0",
socioeconomic_status="mixed",
annotations_creators="human-annotated",
dialect=[],
text_creation="found",
bibtex_citation="""@inproceedings{jovanoski-etal-2015-sentiment,
title = "Sentiment Analysis in {T}witter for {M}acedonian",
author = "Jovanoski, Dame and
Pachovski, Veno and
Nakov, Preslav",
editor = "Mitkov, Ruslan and
Angelova, Galia and
Bontcheva, Kalina",
booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing",
month = sep,
year = "2015",
address = "Hissar, Bulgaria",
publisher = "INCOMA Ltd. Shoumen, BULGARIA",
url = "https://aclanthology.org/R15-1034",
pages = "249--257",
}""",
n_samples={"test": 1139},
avg_character_length={"test": 67.6},
)
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