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Fix corpus when no raw text supplied
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@ -201,7 +201,16 @@ class GoldCorpus(object):
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):
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""" Setting gold_preproc will result in creating a doc per sentence """
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for eg_dict in annotations:
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example = Example.from_dict(eg_dict, doc=nlp.make_doc(eg_dict["text"]))
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if eg_dict["text"]:
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example = Example.from_dict(
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eg_dict,
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doc=nlp.make_doc(eg_dict["text"])
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)
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else:
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example = Example.from_dict(
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eg_dict,
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doc=Doc(nlp.vocab, words=eg_dict["words"])
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)
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example_docs = []
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if gold_preproc:
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split_examples = example.split_sents()
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