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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 45 46 | from __future__ import annotations
from mteb.abstasks.TaskMetadata import TaskMetadata
from ....abstasks import AbsTaskClassification
class TenKGnadClassification(AbsTaskClassification):
metadata = TaskMetadata(
name="TenKGnadClassification",
description="10k German News Articles Dataset (10kGNAD) contains news articles from the online Austrian newspaper website DER Standard with their topic classification (9 classes).",
reference="https://tblock.github.io/10kGNAD/",
dataset={
"path": "gnad10",
"revision": "0798affe9b3f88cfda4267b6fbc50fac67046ee5",
},
type="Classification",
category="p2p",
eval_splits=["test"],
eval_langs=["deu-Latn"],
main_score="accuracy",
date=("2015-06-01", "2016-05-31"),
form=["written"],
domains=["News"],
task_subtypes=["Topic classification"],
license="cc-by-nc-sa-4.0",
socioeconomic_status="medium",
annotations_creators="expert-annotated",
dialect=[],
text_creation="found",
bibtex_citation="""
@InProceedings{Schabus2017,
Author = {Dietmar Schabus and Marcin Skowron and Martin Trapp},
Title = {One Million Posts: A Data Set of German Online Discussions},
Booktitle = {Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)},
Pages = {1241--1244},
Year = {2017},
Address = {Tokyo, Japan},
Doi = {10.1145/3077136.3080711},
Month = aug
}
""",
n_samples={"test": 1028},
avg_character_length={"test": 2627.31},
)
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