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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 MalayalamNewsClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="MalayalamNewsClassification",
description="A Malayalam dataset for 3-class classification of Malayalam news articles",
reference="https://github.com/goru001/nlp-for-malyalam",
dataset={
"path": "mlexplorer008/malayalam_news_classification",
"revision": "666f63bba2387456d8f846ea4d0565181bd47b81",
},
type="Classification",
category="s2s",
date=("2014-01-01", "2018-01-01"),
eval_splits=["test"],
eval_langs=["mal-Mlym"],
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,
n_samples={"train": 5036, "test": 1260},
avg_character_length={"train": 79.48, "test": 80.44},
)
def dataset_transform(self):
self.dataset = self.dataset.rename_columns({"headings": "text"})
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