vizseq/scorers/bert_score.py [38:48]:
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        if tags is not None:
            tag_set = self._unique(tags)
            group_scores = {}
            for t in tag_set:
                indices = [i for i, cur in enumerate(tags) if t in cur]
                group_scores[t] = np.mean([sent_scores[i] for i in indices])

        return VizSeqScore.make(
                corpus_score=corpus_score, sent_scores=sent_scores,
                group_scores=group_scores
            )
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vizseq/scorers/cider.py [47:57]:
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        if tags is not None:
            tag_set = self._unique(tags)
            group_scores = {}
            for t in tag_set:
                indices = [i for i, cur in enumerate(tags) if t in cur]
                group_scores[t] = np.mean([sent_scores[i] for i in indices])

        return VizSeqScore.make(
            corpus_score=corpus_score, sent_scores=sent_scores,
            group_scores=group_scores
        )
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