spaCy/spacy/tests/regression/test_issue4402.py

97 lines
3.9 KiB
Python

# coding: utf8
from __future__ import unicode_literals
import srsly
from spacy.gold import GoldCorpus
from spacy.lang.en import English
from spacy.tests.util import make_tempdir
def test_issue4402():
nlp = English()
with make_tempdir() as tmpdir:
print("temp", tmpdir)
json_path = tmpdir / "test4402.json"
srsly.write_json(json_path, json_data)
corpus = GoldCorpus(str(json_path), str(json_path))
train_docs = list(corpus.train_docs(nlp, gold_preproc=True, max_length=0))
# assert that the data got split into 4 sentences
assert len(train_docs) == 4
json_data = [
{
"id": 0,
"paragraphs": [
{
"raw": "How should I cook bacon in an oven?\nI've heard of people cooking bacon in an oven.",
"sentences": [
{
"tokens": [
{"id": 0, "orth": "How", "ner": "O"},
{"id": 1, "orth": "should", "ner": "O"},
{"id": 2, "orth": "I", "ner": "O"},
{"id": 3, "orth": "cook", "ner": "O"},
{"id": 4, "orth": "bacon", "ner": "O"},
{"id": 5, "orth": "in", "ner": "O"},
{"id": 6, "orth": "an", "ner": "O"},
{"id": 7, "orth": "oven", "ner": "O"},
{"id": 8, "orth": "?", "ner": "O"},
],
"brackets": [],
},
{
"tokens": [
{"id": 9, "orth": "\n", "ner": "O"},
{"id": 10, "orth": "I", "ner": "O"},
{"id": 11, "orth": "'ve", "ner": "O"},
{"id": 12, "orth": "heard", "ner": "O"},
{"id": 13, "orth": "of", "ner": "O"},
{"id": 14, "orth": "people", "ner": "O"},
{"id": 15, "orth": "cooking", "ner": "O"},
{"id": 16, "orth": "bacon", "ner": "O"},
{"id": 17, "orth": "in", "ner": "O"},
{"id": 18, "orth": "an", "ner": "O"},
{"id": 19, "orth": "oven", "ner": "O"},
{"id": 20, "orth": ".", "ner": "O"},
],
"brackets": [],
},
],
"cats": [
{"label": "baking", "value": 1.0},
{"label": "not_baking", "value": 0.0},
],
},
{
"raw": "What is the difference between white and brown eggs?\n",
"sentences": [
{
"tokens": [
{"id": 0, "orth": "What", "ner": "O"},
{"id": 1, "orth": "is", "ner": "O"},
{"id": 2, "orth": "the", "ner": "O"},
{"id": 3, "orth": "difference", "ner": "O"},
{"id": 4, "orth": "between", "ner": "O"},
{"id": 5, "orth": "white", "ner": "O"},
{"id": 6, "orth": "and", "ner": "O"},
{"id": 7, "orth": "brown", "ner": "O"},
{"id": 8, "orth": "eggs", "ner": "O"},
{"id": 9, "orth": "?", "ner": "O"},
],
"brackets": [],
},
{"tokens": [{"id": 10, "orth": "\n", "ner": "O"}], "brackets": []},
],
"cats": [
{"label": "baking", "value": 0.0},
{"label": "not_baking", "value": 1.0},
],
},
],
}
]