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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 | from __future__ import annotations
from mteb.abstasks import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
class GujaratiNewsClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="GujaratiNewsClassification",
description="A Gujarati dataset for 3-class classification of Gujarati news articles",
reference="https://github.com/goru001/nlp-for-gujarati",
dataset={
"path": "mlexplorer008/gujarati_news_classification",
"revision": "1a5f2fa2914bfeff4fcdc6fff4194fa8ec8fa19e",
},
type="Classification",
category="s2s",
date=("2014-01-01", "2018-01-01"),
eval_splits=["test"],
eval_langs=["guj-Gujr"],
main_score="accuracy",
form=["written"],
domains=["News"],
task_subtypes=["Topic classification"],
license="MIT",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=[],
text_creation="found",
bibtex_citation="", # none found
n_samples={"train": 5269, "test": 1318},
avg_character_length={"train": 61.95, "test": 61.91},
)
def dataset_transform(self):
self.dataset = self.dataset.rename_column("headline", "text")
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