File size: 1,159 Bytes
83d24b2 | 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 | from __future__ import annotations
from typing import Any
from datasets import Dataset
from mteb.encoder_interface import Encoder, EncoderWithQueryCorpusEncode
from mteb.MTEBResults import ScoresDict
from ..evaluation.evaluators import RerankingEvaluator
from .AbsTask import AbsTask
class AbsTaskReranking(AbsTask):
"""Abstract class for re-ranking experiments.
self.load_data() must generate a huggingface dataset with a split matching self.metadata_dict["eval_splits"], and assign it to self.dataset. It must contain the following columns:
query: str
positive: list[str]
negative: list[str]
"""
def __init__(self, **kwargs):
super().__init__(**kwargs)
def _evaluate_subset(
self,
model: Encoder | EncoderWithQueryCorpusEncode,
data_split: Dataset,
**kwargs: Any,
) -> ScoresDict:
evaluator = RerankingEvaluator(data_split, **kwargs)
scores = evaluator(model)
self._add_main_score(scores)
return scores
def _add_main_score(self, scores: ScoresDict) -> None:
scores["main_score"] = scores[self.metadata.main_score]
|