mirror of https://github.com/explosion/spaCy.git
93 lines
3.8 KiB
Python
93 lines
3.8 KiB
Python
import srsly
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from spacy.gold import GoldCorpus
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from spacy.lang.en import English
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from ..util import make_tempdir
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def test_issue4402():
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nlp = English()
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with make_tempdir() as tmpdir:
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json_path = tmpdir / "test4402.json"
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srsly.write_json(json_path, json_data)
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corpus = GoldCorpus(str(json_path), str(json_path))
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train_data = list(corpus.train_dataset(nlp, gold_preproc=True, max_length=0))
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# assert that the data got split into 4 sentences
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assert len(train_data) == 4
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json_data = [
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{
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"id": 0,
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"paragraphs": [
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{
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"raw": "How should I cook bacon in an oven?\nI've heard of people cooking bacon in an oven.",
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"sentences": [
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{
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"tokens": [
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{"id": 0, "orth": "How", "ner": "O"},
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{"id": 1, "orth": "should", "ner": "O"},
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{"id": 2, "orth": "I", "ner": "O"},
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{"id": 3, "orth": "cook", "ner": "O"},
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{"id": 4, "orth": "bacon", "ner": "O"},
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{"id": 5, "orth": "in", "ner": "O"},
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{"id": 6, "orth": "an", "ner": "O"},
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{"id": 7, "orth": "oven", "ner": "O"},
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{"id": 8, "orth": "?", "ner": "O"},
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],
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"brackets": [],
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},
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{
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"tokens": [
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{"id": 9, "orth": "\n", "ner": "O"},
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{"id": 10, "orth": "I", "ner": "O"},
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{"id": 11, "orth": "'ve", "ner": "O"},
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{"id": 12, "orth": "heard", "ner": "O"},
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{"id": 13, "orth": "of", "ner": "O"},
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{"id": 14, "orth": "people", "ner": "O"},
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{"id": 15, "orth": "cooking", "ner": "O"},
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{"id": 16, "orth": "bacon", "ner": "O"},
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{"id": 17, "orth": "in", "ner": "O"},
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{"id": 18, "orth": "an", "ner": "O"},
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{"id": 19, "orth": "oven", "ner": "O"},
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{"id": 20, "orth": ".", "ner": "O"},
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],
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"brackets": [],
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},
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],
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"cats": [
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{"label": "baking", "value": 1.0},
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{"label": "not_baking", "value": 0.0},
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],
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},
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{
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"raw": "What is the difference between white and brown eggs?\n",
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"sentences": [
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{
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"tokens": [
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{"id": 0, "orth": "What", "ner": "O"},
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{"id": 1, "orth": "is", "ner": "O"},
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{"id": 2, "orth": "the", "ner": "O"},
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{"id": 3, "orth": "difference", "ner": "O"},
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{"id": 4, "orth": "between", "ner": "O"},
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{"id": 5, "orth": "white", "ner": "O"},
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{"id": 6, "orth": "and", "ner": "O"},
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{"id": 7, "orth": "brown", "ner": "O"},
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{"id": 8, "orth": "eggs", "ner": "O"},
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{"id": 9, "orth": "?", "ner": "O"},
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],
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"brackets": [],
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},
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{"tokens": [{"id": 10, "orth": "\n", "ner": "O"}], "brackets": []},
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],
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"cats": [
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{"label": "baking", "value": 0.0},
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{"label": "not_baking", "value": 1.0},
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],
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},
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],
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}
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]
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