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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 | from __future__ import annotations
from mteb.abstasks import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
class SpanishNewsClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="SpanishNewsClassification",
description="A Spanish dataset for news classification. The dataset includes articles from reputable Spanish news sources spanning 12 different categories.",
reference="https://huggingface.co/datasets/MarcOrfilaCarreras/spanish-news",
dataset={
"path": "MarcOrfilaCarreras/spanish-news",
"revision": "0086c197b914690a9dace258a19398890a05299a",
},
type="Classification",
category="s2s",
date=("2023-05-01", "2024-05-01"),
eval_splits=["train"],
eval_langs=["spa-Latn"],
main_score="accuracy",
form=["written"],
domains=["News"],
task_subtypes=[],
license="MIT",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=[],
text_creation="found",
bibtex_citation="""
""",
n_samples={"train": 2048},
avg_character_length={"train": 4218.2},
)
def dataset_transform(self):
self.dataset = self.dataset.rename_columns({"category": "label"})
self.dataset = self.stratified_subsampling(
self.dataset, seed=self.seed, splits=["train"]
)
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