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import multiprocessing |
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import nltk |
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from rouge_score import rouge_scorer |
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from multiprocessing import Pool |
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def compute_rouge(predictions, references, rouge_types=None, use_stemmer=False): |
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if rouge_types is None: |
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rouge_types = ["rouge1", "rouge2", "rougeL", "rougeLsum"] |
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scorer = rouge_scorer.RougeScorer(rouge_types=rouge_types, use_stemmer=use_stemmer) |
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with Pool() as p: |
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scores = p.starmap(scorer.score, zip(references, predictions)) |
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result = {} |
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for key in scores[0]: |
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result[key] = list(score[key] for score in scores) |
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return result |
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def postprocess_text(text): |
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return "\n".join(nltk.sent_tokenize(text)) |
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