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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 | from __future__ import annotations
from mteb.abstasks import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
class TamilNewsClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="TamilNewsClassification",
description="A Tamil dataset for 6-class classification of Tamil news articles",
reference="https://github.com/vanangamudi/tamil-news-classification",
dataset={
"path": "mlexplorer008/tamil_news_classification",
"revision": "bb34dd6690cf17aa731d75d45388c5801b8c4e4b",
},
type="Classification",
category="s2s",
date=("2014-01-01", "2018-01-01"),
eval_splits=["test"],
eval_langs=["tam-Taml"],
main_score="f1",
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": 14521, "test": 3631},
avg_character_length={"train": 56.50, "test": 56.52},
)
def dataset_transform(self):
self.dataset = self.dataset.rename_columns(
{"NewsInTamil": "text", "Category": "label"}
)
self.dataset = self.stratified_subsampling(self.dataset, seed=self.seed)
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