File size: 2,125 Bytes
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 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | from __future__ import annotations
import datasets
from mteb.abstasks.TaskMetadata import TaskMetadata
from ....abstasks.AbsTaskRetrieval import AbsTaskRetrieval
class SpanishPassageRetrievalS2P(AbsTaskRetrieval):
metadata = TaskMetadata(
name="SpanishPassageRetrievalS2P",
description="Test collection for passage retrieval from health-related Web resources in Spanish.",
reference="https://mklab.iti.gr/results/spanish-passage-retrieval-dataset/",
dataset={
"path": "jinaai/spanish_passage_retrieval",
"revision": "9cddf2ce5209ade52c2115ccfa00eb22c6d3a837",
},
type="Retrieval",
category="s2p",
eval_splits=["test"],
eval_langs=["spa-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,
)
def load_data(self, **kwargs):
if self.data_loaded:
return
query_rows = datasets.load_dataset(
name="queries",
split="test",
trust_remote_code=True,
**self.metadata_dict["dataset"],
)
corpus_rows = datasets.load_dataset(
name="corpus.documents",
split="test",
trust_remote_code=True,
**self.metadata_dict["dataset"],
)
qrels_rows = datasets.load_dataset(
name="qrels.s2p",
split="test",
trust_remote_code=True,
**self.metadata_dict["dataset"],
)
self.queries = {"test": {row["_id"]: row["text"] for row in query_rows}}
self.corpus = {"test": {row["_id"]: row for row in corpus_rows}}
self.relevant_docs = {
"test": {
row["_id"]: {v: 1 for v in row["text"].split(" ")} for row in qrels_rows
}
}
self.data_loaded = True
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