| from __future__ import annotations | |
| import datasets | |
| from mteb.abstasks.TaskMetadata import TaskMetadata | |
| from ....abstasks.AbsTaskRetrieval import AbsTaskRetrieval | |
| class SpanishPassageRetrievalS2S(AbsTaskRetrieval): | |
| metadata = TaskMetadata( | |
| name="SpanishPassageRetrievalS2S", | |
| 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", | |
| "trust_remote_code": True, | |
| }, | |
| type="Retrieval", | |
| category="s2s", | |
| 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", | |
| **self.metadata_dict["dataset"], | |
| ) | |
| corpus_rows = datasets.load_dataset( | |
| name="corpus.sentences", | |
| split="test", | |
| **self.metadata_dict["dataset"], | |
| ) | |
| qrels_rows = datasets.load_dataset( | |
| name="qrels.s2s", | |
| split="test", | |
| **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 | |