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from __future__ import annotations
from mteb.abstasks.TaskMetadata import TaskMetadata
from ....abstasks.AbsTaskRetrieval import AbsTaskRetrieval
class EstQA(AbsTaskRetrieval):
metadata = TaskMetadata(
name="EstQA",
dataset={
"path": "kardosdrur/estonian-qa",
"revision": "99d6f921d9dd4d09116a6312deceb22c16529cfb",
},
description=(
"EstQA is an Estonian question answering dataset based on Wikipedia."
),
reference="https://www.semanticscholar.org/paper/Extractive-Question-Answering-for-Estonian-Language-182912IAPM-Alum%C3%A4e/ea4f60ab36cadca059c880678bc4c51e293a85d6?utm_source=direct_link",
type="Retrieval",
category="s2p",
eval_splits=["test"],
eval_langs=["est-Latn"],
main_score="ndcg_at_10",
date=(
"2002-08-24",
"2021-05-10",
), # birth of Estonian Wikipedia to publishing the article
form=["written"],
domains=["Encyclopaedic"],
task_subtypes=["Question answering"],
license="Not specified",
socioeconomic_status="mixed",
annotations_creators="human-annotated",
dialect=[],
text_creation="found",
bibtex_citation="""
@mastersthesis{mastersthesis,
author = {Anu Käver},
title = {Extractive Question Answering for Estonian Language},
school = {Tallinn University of Technology (TalTech)},
year = 2021
}
""",
n_samples={"test": 603},
avg_character_length={"test": 772.5331950207469},
)