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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
N_SAMPLES = 2048
class OnlineStoreReviewSentimentClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="OnlineStoreReviewSentimentClassification",
dataset={
"path": "Ruqiya/Arabic_Reviews_of_SHEIN",
"revision": "8ea114aa27b82a52373203830dc2f5b540b6fcac",
},
description="This dataset contains Arabic reviews of products from the SHEIN online store.",
reference="https://huggingface.co/datasets/Ruqiya/Arabic_Reviews_of_SHEIN",
type="Classification",
category="s2s",
eval_splits=["train"],
eval_langs=["ara-Arab"],
main_score="accuracy",
date=("2024-05-01", "2024-05-15"),
form=["written"],
domains=["Reviews"],
task_subtypes=["Sentiment/Hate speech"],
license="Not specified",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=["ara-Arab-SA"],
text_creation="found",
bibtex_citation="",
n_samples={"train": N_SAMPLES},
avg_character_length={"train": 137.2},
)
def dataset_transform(self):
self.dataset = self.stratified_subsampling(
self.dataset, seed=self.seed, splits=["train"]
)
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