from __future__ import annotations

from mteb.abstasks.AbsTaskPairClassification import AbsTaskPairClassification
from mteb.abstasks.TaskMetadata import TaskMetadata


class ArmenianParaphrasePC(AbsTaskPairClassification):
    metadata = TaskMetadata(
        name="ArmenianParaphrasePC",
        description="asparius/Armenian-Paraphrase-PC",
        reference="https://github.com/ivannikov-lab/arpa-paraphrase-corpus",
        dataset={
            "path": "asparius/Armenian-Paraphrase-PC",
            "revision": "f43b4f32987048043a8b31e5e26be4d360c2438f",
        },
        type="PairClassification",
        category="s2s",
        eval_splits=["test"],
        eval_langs=["hye-Armn"],
        main_score="ap",
        date=("2021-01-01", "2022-04-06"),
        form=["written"],
        domains=["News"],
        task_subtypes=[],
        license="Apache-2.0",
        socioeconomic_status="mixed",
        annotations_creators="derived",
        dialect=[],
        text_creation="found",
        bibtex_citation="""
        @misc{malajyan2020arpa,
      title={ARPA: Armenian Paraphrase Detection Corpus and Models}, 
      author={Arthur Malajyan and Karen Avetisyan and Tsolak Ghukasyan},
      year={2020},
      eprint={2009.12615},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
        """,
        n_samples={"train": 4023, "test": 1470},
        avg_character_length={"train": 243.81, "test": 241.37},
    )