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# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
import numpy as np
from fairseq.dataclass import FairseqDataclass
from fairseq.scoring import BaseScorer, register_scorer
@dataclass
class BertScoreScorerConfig(FairseqDataclass):
bert_score_lang: str = field(default="en", metadata={"help": "BERTScore language"})
@register_scorer("bert_score", dataclass=BertScoreScorerConfig)
class BertScoreScorer(BaseScorer):
def __init__(self, cfg):
super(BertScoreScorer, self).__init__(cfg)
try:
import bert_score as _bert_score
except ImportError:
raise ImportError("Please install BERTScore: pip install bert-score")
self.cfg = cfg
self._bert_score = _bert_score
self.scores = None
def add_string(self, ref, pred):
self.ref.append(ref)
self.pred.append(pred)
def score(self, order=4):
_, _, self.scores = self._bert_score.score(
self.pred, self.ref, lang=self.cfg.bert_score_lang
)
self.scores = self.scores.numpy()
return np.mean(self.scores)
def result_string(self, order=4):
return f"BERTScore: {self.score():.4f}"
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