| from __future__ import annotations | |
| from mteb.abstasks.TaskMetadata import TaskMetadata | |
| from ....abstasks.AbsTaskRetrieval import AbsTaskRetrieval | |
| class FEVER(AbsTaskRetrieval): | |
| metadata = TaskMetadata( | |
| name="FEVER", | |
| dataset={ | |
| "path": "mteb/fever", | |
| "revision": "bea83ef9e8fb933d90a2f1d5515737465d613e12", | |
| }, | |
| description=( | |
| "FEVER (Fact Extraction and VERification) consists of 185,445 claims generated by altering sentences" | |
| " extracted from Wikipedia and subsequently verified without knowledge of the sentence they were" | |
| " derived from." | |
| ), | |
| reference="https://fever.ai/", | |
| type="Retrieval", | |
| category="s2p", | |
| eval_splits=["train", "dev", "test"], | |
| eval_langs=["eng-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, | |
| ) | |