Datasets:
Fix defaults for init
Browse files- mc4-sampling.py +10 -3
mc4-sampling.py
CHANGED
@@ -300,13 +300,20 @@ class Mc4Sampling(datasets.GeneratorBasedBuilder):
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else:
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# Loading 5-gram model
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# http://dl.fbaipublicfiles.com/cc_net/lm/es.arpa.bin
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-
logger.info("loading model = %s", self.perplexity_model)
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-
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if self.sampling_method == "gaussian":
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self.should_keep_doc = self._should_keep_doc_gaussian
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else:
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self.should_keep_doc = self._should_keep_doc_step
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-
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def get_perplexity(self, doc):
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doc_log_score, doc_length = 0, 0
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else:
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# Loading 5-gram model
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# http://dl.fbaipublicfiles.com/cc_net/lm/es.arpa.bin
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+
logger.info("loading model = %s", str(self.perplexity_model))
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if isinstance(self.perplexity_model, str):
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self.pp_model = kenlm.Model(self.perplexity_model)
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else:
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self.pp_model = self.perplexity_model
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if self.sampling_method == "gaussian":
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self.should_keep_doc = self._should_keep_doc_gaussian
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else:
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self.should_keep_doc = self._should_keep_doc_step
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+
init_kwargs = {
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prop: kwargs.get(prop)
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for prop in ("name", "version", "data_dir", "data_files", "description")
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}
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super().__init__(*args, writer_batch_size=writer_batch_size, **init_kwargs)
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def get_perplexity(self, doc):
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doc_log_score, doc_length = 0, 0
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