testbed/embeddings-benchmark__mteb/mteb/tasks/Retrieval/pol/MSMARCOPLRetrieval.py

from __future__ import annotations

from mteb.abstasks.TaskMetadata import TaskMetadata

from ....abstasks.AbsTaskRetrieval import AbsTaskRetrieval


class MSMARCOPL(AbsTaskRetrieval):
    metadata = TaskMetadata(
        name="MSMARCO-PL",
        description="MS MARCO is a collection of datasets focused on deep learning in search",
        reference="https://microsoft.github.io/msmarco/",
        dataset={
            "path": "clarin-knext/msmarco-pl",
            "revision": "8634c07806d5cce3a6138e260e59b81760a0a640",
        },
        type="Retrieval",
        category="s2p",
        eval_splits=["test"],
        eval_langs=["pol-Latn"],
        main_score="ndcg_at_10",
        date=None,
        form=None,
        domains=None,
        task_subtypes=None,
        license=None,
        socioeconomic_status=None,
        annotations_creators=None,
        dialect=None,
        text_creation=None,
        bibtex_citation=None,
        n_samples=None,
        avg_character_length=None,
    )