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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 | from __future__ import annotations
from mteb.abstasks import AbsTaskClassification
from mteb.abstasks.TaskMetadata import TaskMetadata
N_SAMPLES = 1024
class SwedishSentimentClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="SwedishSentimentClassification",
description="Dataset of Swedish reviews scarped from various public available websites",
reference="https://huggingface.co/datasets/swedish_reviews",
dataset={
"path": "timpal0l/swedish_reviews",
"revision": "105ba6b3cb99b9fd64880215be469d60ebf44a1b",
},
type="Classification",
category="s2s",
eval_splits=["validation", "test"],
eval_langs=["swe-Latn"],
main_score="accuracy",
date=("2021-01-01", "2022-01-01"),
form=["written"],
domains=["Reviews"],
task_subtypes=["Sentiment/Hate speech"],
license="Not specified",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=[],
text_creation="found",
bibtex_citation="",
n_samples={"validation": N_SAMPLES, "test": N_SAMPLES},
avg_character_length={"validation": 499.3, "test": 498.1},
)
def dataset_transform(self):
self.dataset = self.stratified_subsampling(
self.dataset, seed=self.seed, splits=["validation", "test"]
)
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