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limit arg for Corpus
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@ -1,5 +1,3 @@
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import srsly
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from pathlib import Path
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import random
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from .. import util
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from .example import Example
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@ -7,8 +5,8 @@ from ..tokens import DocBin
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class Corpus:
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"""An annotated corpus, using the JSON file format. Manages
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annotations for tagging, dependency parsing and NER.
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"""An annotated corpus, reading train and dev datasets from
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the DocBin (.spacy) format.
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DOCS: https://spacy.io/api/goldcorpus
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"""
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@ -18,10 +16,12 @@ class Corpus:
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train (str / Path): File or directory of training data.
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dev (str / Path): File or directory of development data.
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limit (int): Max. number of examples returned
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RETURNS (Corpus): The newly created object.
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"""
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self.train_loc = train_loc
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self.dev_loc = dev_loc
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self.limit = limit
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@staticmethod
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def walk_corpus(path):
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@ -48,7 +48,7 @@ class Corpus:
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predicted = nlp.make_doc(reference.text)
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yield Example(predicted, reference)
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def read_docbin(self, vocab, locs, limit=0):
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def read_docbin(self, vocab, locs):
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""" Yield training examples as example dicts """
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i = 0
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for loc in locs:
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@ -57,6 +57,9 @@ class Corpus:
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with loc.open("rb") as file_:
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doc_bin = DocBin().from_bytes(file_.read())
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yield from doc_bin.get_docs(vocab)
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i += len(doc_bin) # TODO: should we restrict to EXACTLY the limit ?
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if i >= self.limit:
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break
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def count_train(self, nlp):
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"""Returns count of words in train examples"""
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@ -64,7 +67,7 @@ class Corpus:
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i = 0
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for example in self.train_dataset(nlp):
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n += len(example.predicted)
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if self.limit and i >= self.limit:
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if i >= self.limit:
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break
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i += 1
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return n
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