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Update Space (evaluate main: dfdd0cc0)
Browse files- google_bleu.py +18 -6
google_bleu.py
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@@ -131,12 +131,20 @@ class GoogleBleu(evaluate.EvaluationModule):
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description=_DESCRIPTION,
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citation=_CITATION,
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inputs_description=_KWARGS_DESCRIPTION,
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features=
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)
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def _compute(
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@@ -147,6 +155,10 @@ class GoogleBleu(evaluate.EvaluationModule):
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min_len: int = 1,
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max_len: int = 4,
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) -> Dict[str, float]:
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references = [[tokenizer(r) for r in ref] for ref in references]
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predictions = [tokenizer(p) for p in predictions]
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return {
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description=_DESCRIPTION,
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citation=_CITATION,
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inputs_description=_KWARGS_DESCRIPTION,
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features=[
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datasets.Features(
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{
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"predictions": datasets.Value("string", id="sequence"),
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"references": datasets.Sequence(datasets.Value("string", id="sequence"), id="references"),
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}
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),
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datasets.Features(
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{
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"predictions": datasets.Value("string", id="sequence"),
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"references": datasets.Value("string", id="sequence"),
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}
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),
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],
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)
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def _compute(
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min_len: int = 1,
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max_len: int = 4,
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) -> Dict[str, float]:
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# if only one reference is provided make sure we still use list of lists
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if isinstance(references[0], str):
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references = [[ref] for ref in references]
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references = [[tokenizer(r) for r in ref] for ref in references]
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predictions = [tokenizer(p) for p in predictions]
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return {
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