mirror of
https://github.com/explosion/spaCy.git
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3141e04822
* Add spacy.errors module * Update deprecation and user warnings * Replace errors and asserts with new error message system * Remove redundant asserts * Fix whitespace * Add messages for print/util.prints statements * Fix typo * Fix typos * Move CLI messages to spacy.cli._messages * Add decorator to display error code with message An implementation like this is nice because it only modifies the string when it's retrieved from the containing class – so we don't have to worry about manipulating tracebacks etc. * Remove unused link in spacy.about * Update errors for invalid pipeline components * Improve error for unknown factories * Add displaCy warnings * Update formatting consistency * Move error message to spacy.errors * Update errors and check if doc returned by component is None
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from .._messages import Messages
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from ...compat import json_dumps, path2str
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from ...util import prints
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from ...gold import iob_to_biluo
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def conll_ner2json(input_path, output_path, n_sents=10, use_morphology=False):
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"""
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Convert files in the CoNLL-2003 NER format into JSON format for use with
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train cli.
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"""
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docs = read_conll_ner(input_path)
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output_filename = input_path.parts[-1].replace(".conll", "") + ".json"
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output_filename = input_path.parts[-1].replace(".conll", "") + ".json"
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output_file = output_path / output_filename
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with output_file.open('w', encoding='utf-8') as f:
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f.write(json_dumps(docs))
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prints(Messages.M033.format(n_docs=len(docs)),
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title=Messages.M032.format(name=path2str(output_file)))
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def read_conll_ner(input_path):
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text = input_path.open('r', encoding='utf-8').read()
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i = 0
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delimit_docs = '-DOCSTART- -X- O O'
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output_docs = []
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for doc in text.strip().split(delimit_docs):
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doc = doc.strip()
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if not doc:
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continue
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output_doc = []
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for sent in doc.split('\n\n'):
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sent = sent.strip()
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if not sent:
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continue
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lines = [line.strip() for line in sent.split('\n') if line.strip()]
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words, tags, chunks, iob_ents = zip(*[line.split() for line in lines])
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biluo_ents = iob_to_biluo(iob_ents)
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output_doc.append({'tokens': [
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{'orth': w, 'tag': tag, 'ner': ent} for (w, tag, ent) in
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zip(words, tags, biluo_ents)
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]})
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output_docs.append({
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'id': len(output_docs),
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'paragraphs': [{'sentences': output_doc}]
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})
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output_doc = []
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return output_docs
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