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73cc8d2 | 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 | from __future__ import annotations
from mteb.abstasks import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
class TswanaNewsClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="TswanaNewsClassification",
description="Tswana News Classification Dataset",
reference="https://link.springer.com/chapter/10.1007/978-3-031-49002-6_17",
dataset={
"path": "dsfsi/daily-news-dikgang",
"revision": "061ca1525717eebaaa9bada240f6cbb31eb3aa87",
},
type="Classification",
task_subtypes=["Topic classification"],
category="s2s",
eval_splits=["test"],
eval_langs=["tsn-Latn"],
main_score="accuracy",
date=("2015-01-01", "2023-01-01"),
form=["written"],
domains=["News"],
license="CC-BY-SA-4.0",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=[],
text_creation="found",
bibtex_citation="""
@inproceedings{marivate2023puoberta,
title = {PuoBERTa: Training and evaluation of a curated language model for Setswana},
author = {Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},
year = {2023},
booktitle= {SACAIR 2023 (To Appear)},
keywords = {NLP},
preprint_url = {https://arxiv.org/abs/2310.09141},
dataset_url = {https://github.com/dsfsi/PuoBERTa},
software_url = {https://huggingface.co/dsfsi/PuoBERTa}
}
""",
n_samples={"validation": 487, "test": 487},
avg_character_length={"validation": 2417.72, "test": 2369.52},
)
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