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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 42 43 44 | from __future__ import annotations
from mteb.abstasks.TaskMetadata import TaskMetadata
from ....abstasks import AbsTaskClassification
class AmazonPolarityClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="AmazonPolarityClassification",
description="Amazon Polarity Classification Dataset.",
reference="https://huggingface.co/datasets/amazon_polarity",
dataset={
"path": "mteb/amazon_polarity",
"revision": "e2d317d38cd51312af73b3d32a06d1a08b442046",
},
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["eng-Latn"],
main_score="accuracy",
date=(
"2012-01-01",
"2015-12-31",
), # Estimated range for the collection of reviews
form=["written"],
domains=["Reviews"],
task_subtypes=["Sentiment/Hate speech"],
license="Not specified",
socioeconomic_status="mixed",
annotations_creators="derived",
dialect=[],
text_creation="found",
bibtex_citation="""@article{McAuley2013HiddenFA,
title={Hidden factors and hidden topics: understanding rating dimensions with review text},
author={Julian McAuley and Jure Leskovec},
journal={Proceedings of the 7th ACM conference on Recommender systems},
year={2013},
url={https://api.semanticscholar.org/CorpusID:6440341}
}""",
n_samples={"test": 400000},
avg_character_length={"test": 431.4},
)
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