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69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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from pytest import approx
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from spacy.gold import GoldParse
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from spacy.scorer import Scorer
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from .util import get_doc
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test_ner_cardinal = [
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["100 - 200", {"entities": [[0, 3, "CARDINAL"], [6, 9, "CARDINAL"]]}]
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]
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test_ner_apple = [
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[
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"Apple is looking at buying U.K. startup for $1 billion",
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{"entities": [(0, 5, "ORG"), (27, 31, "GPE"), (44, 54, "MONEY")]},
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]
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]
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def test_ner_per_type(en_vocab):
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# Gold and Doc are identical
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scorer = Scorer()
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for input_, annot in test_ner_cardinal:
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doc = get_doc(
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en_vocab,
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words=input_.split(" "),
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ents=[[0, 1, "CARDINAL"], [2, 3, "CARDINAL"]],
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)
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gold = GoldParse(doc, entities=annot["entities"])
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scorer.score(doc, gold)
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results = scorer.scores
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assert results["ents_p"] == 100
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assert results["ents_f"] == 100
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assert results["ents_r"] == 100
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assert results["ents_per_type"]["CARDINAL"]["p"] == 100
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assert results["ents_per_type"]["CARDINAL"]["f"] == 100
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assert results["ents_per_type"]["CARDINAL"]["r"] == 100
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# Doc has one missing and one extra entity
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# Entity type MONEY is not present in Doc
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scorer = Scorer()
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for input_, annot in test_ner_apple:
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doc = get_doc(
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en_vocab,
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words=input_.split(" "),
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ents=[[0, 1, "ORG"], [5, 6, "GPE"], [6, 7, "ORG"]],
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)
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gold = GoldParse(doc, entities=annot["entities"])
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scorer.score(doc, gold)
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results = scorer.scores
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assert results["ents_p"] == approx(66.66666)
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assert results["ents_r"] == approx(66.66666)
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assert results["ents_f"] == approx(66.66666)
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assert "GPE" in results["ents_per_type"]
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assert "MONEY" in results["ents_per_type"]
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assert "ORG" in results["ents_per_type"]
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assert results["ents_per_type"]["GPE"]["p"] == 100
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assert results["ents_per_type"]["GPE"]["r"] == 100
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assert results["ents_per_type"]["GPE"]["f"] == 100
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assert results["ents_per_type"]["MONEY"]["p"] == 0
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assert results["ents_per_type"]["MONEY"]["r"] == 0
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assert results["ents_per_type"]["MONEY"]["f"] == 0
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assert results["ents_per_type"]["ORG"]["p"] == 50
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assert results["ents_per_type"]["ORG"]["r"] == 100
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assert results["ents_per_type"]["ORG"]["f"] == approx(66.66666)
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