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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 ArxivClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="ArxivClassification",
description="Classification Dataset of Arxiv Papers",
dataset={
"path": "ccdv/arxiv-classification",
"revision": "f9bd92144ed76200d6eb3ce73a8bd4eba9ffdc85",
},
reference="https://ieeexplore.ieee.org/document/8675939",
type="Classification",
category="s2s",
eval_splits=["test"],
eval_langs=["eng-Latn"],
main_score="accuracy",
date=("1998-11-11", "2019-03-28"),
form=["written"],
domains=["Academic"],
task_subtypes=["Topic classification"],
license="Not specified",
socioeconomic_status="high",
annotations_creators="derived",
dialect=[],
text_creation="found",
bibtex_citation="""@ARTICLE{8675939,
author={He, Jun and Wang, Liqun and Liu, Liu and Feng, Jiao and Wu, Hao},
journal={IEEE Access},
title={Long Document Classification From Local Word Glimpses via Recurrent Attention Learning},
year={2019},
volume={7},
number={},
pages={40707-40718},
doi={10.1109/ACCESS.2019.2907992}
}""",
n_samples={"test": 2048},
avg_character_length={},
)
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