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nq_eval_test.py
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nq_eval_test.py
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# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Testing code for tgq_eval."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import eval_utils as util
import nq_eval as ev
import tensorflow.compat.v1 as tf
class EvalUtilsTest(tf.test.TestCase):
"""Testing codes for eval_utils"""
def _get_nq_label(self, long_span, short_span_list, eid=0):
return util.NQLabel(example_id=eid, long_answer_span=long_span,
short_answer_span_list=short_span_list,
long_score=0, short_score=0,
yes_no_answer='none')
def _get_nq_label_with_yes_no(self, long_span, yes_no_answer, eid=0):
assert yes_no_answer != 'none'
return util.NQLabel(example_id=eid, long_answer_span=long_span,
short_answer_span_list=[],
long_score=0, short_score=0,
yes_no_answer=yes_no_answer)
def _get_span(self, start, end):
return util.Span(-1, -1, start, end)
def testLongStat(self):
"""Test instance level long answer f1."""
# Test cases when there is no long answer.
gold_label_spans = [(0, 10), (-1, -1), (-1, -1), (-1, -1), (-1, -1)]
gold_label_list = [
self._get_nq_label(self._get_span(a, b), [])
for a, b in gold_label_spans
]
pred_label = self._get_nq_label(self._get_span(0, 10), [])
gold_has_answer, pred_has_answer, is_correct, _ = ev.score_long_answer(
gold_label_list, pred_label)
self.assertEqual(gold_has_answer, False)
self.assertEqual(pred_has_answer, True)
self.assertEqual(is_correct, False)
# Test cases when there is a long answer.
gold_label_spans = [(0, 10), (0, 9), (-1, -1), (-1, -1), (-1, -1)]
gold_label_list = [
self._get_nq_label(self._get_span(a, b), [])
for a, b in gold_label_spans
]
pred_label = self._get_nq_label(self._get_span(0, 10), [])
gold_has_answer, pred_has_answer, is_correct, _ = ev.score_long_answer(
gold_label_list, pred_label)
self.assertEqual(gold_has_answer, True)
self.assertEqual(pred_has_answer, True)
self.assertEqual(is_correct, True)
def testShortStat(self):
"""Test instance level short answer f1."""
long_span = self._get_span(0, 10)
# Test case when there is no gold short answer.
gold_label_spans_1 = [(1, 3), (5, 6)]
gold_label_spans_2 = [(-1, -1)]
gold_label_spans_3 = [(-1, -1)]
gold_label_spans_4 = [(-1, -1)]
gold_label_spans_5 = [(-1, -1)]
gold_label_list = []
for spans in [
gold_label_spans_1, gold_label_spans_2, gold_label_spans_3,
gold_label_spans_4, gold_label_spans_5
]:
gold_label_list.append(
self._get_nq_label(long_span,
[self._get_span(a, b) for a, b in spans]))
pred_label = self._get_nq_label(
long_span, [self._get_span(a, b) for a, b in gold_label_spans_1])
gold_has_answer, pred_has_answer, is_correct, _ = ev.score_short_answer(
gold_label_list, pred_label)
self.assertEqual(gold_has_answer, False)
self.assertEqual(pred_has_answer, True)
self.assertEqual(is_correct, False)
# Test case when there is gold short answer.
gold_label_spans_1 = [(1, 3), (5, 6)]
gold_label_spans_2 = [(1, 3), (5, 6)]
gold_label_spans_3 = [(-1, -1)]
gold_label_spans_4 = [(-1, -1)]
gold_label_spans_5 = [(-1, -1)]
gold_label_list = []
for spans in [
gold_label_spans_1, gold_label_spans_2, gold_label_spans_3,
gold_label_spans_4, gold_label_spans_5
]:
gold_label_list.append(
self._get_nq_label(long_span,
[self._get_span(a, b) for a, b in spans]))
pred_label = self._get_nq_label(
long_span, [self._get_span(a, b) for a, b in gold_label_spans_1])
gold_has_answer, pred_has_answer, is_correct, _ = ev.score_short_answer(
gold_label_list, pred_label)
self.assertEqual(gold_has_answer, True)
self.assertEqual(pred_has_answer, True)
self.assertEqual(is_correct, True)
# Test case for not exactly match.
pred_label = self._get_nq_label(long_span, [self._get_span(1, 3)])
gold_has_answer, pred_has_answer, is_correct, _ = ev.score_short_answer(
gold_label_list, pred_label)
self.assertEqual(gold_has_answer, True)
self.assertEqual(pred_has_answer, True)
self.assertEqual(is_correct, False)
# Test case when there is a yes/no answer
gold_label_spans_2 = [(1, 3), (5, 6)]
gold_label_spans_3 = [(-1, -1)]
gold_label_spans_4 = [(-1, -1)]
gold_label_spans_5 = [(-1, -1)]
# first annotation is yes/no
gold_label_list = [self._get_nq_label_with_yes_no(long_span, 'yes')]
for spans in [
gold_label_spans_2, gold_label_spans_3, gold_label_spans_4,
gold_label_spans_5
]:
gold_label_list.append(
self._get_nq_label(long_span,
[self._get_span(a, b) for a, b in spans]))
pred_label = self._get_nq_label_with_yes_no(long_span, 'yes')
gold_has_answer, pred_has_answer, is_correct, _ = ev.score_short_answer(
gold_label_list, pred_label)
self.assertEqual(gold_has_answer, True)
self.assertEqual(pred_has_answer, True)
self.assertEqual(is_correct, True)
pred_label = self._get_nq_label_with_yes_no(long_span, 'no')
gold_has_answer, pred_has_answer, is_correct, _ = ev.score_short_answer(
gold_label_list, pred_label)
self.assertEqual(gold_has_answer, True)
self.assertEqual(pred_has_answer, True)
self.assertEqual(is_correct, False)
def testPrCurve(self):
"""Test instance level short answer f1."""
# has_gold, has_pred, is_correct, score
answer_stats = [[True, True, True, 1.0],
[False, True, False, 10.0]]
answer_stats.sort(key=lambda x: x[-1], reverse=True)
((_, best_precision, best_recall, _),
target_pr_scores_list) = ev.compute_pr_curves(
answer_stats, targets=[0.5, 0.75, 0.9])
self.assertEqual(best_precision, 0.5)
self.assertEqual(best_recall, 1.0)
self.assertEqual(target_pr_scores_list[0][0], 0.5)
self.assertEqual(target_pr_scores_list[0][1], 1.0) # recall@0.5
self.assertEqual(target_pr_scores_list[1][0], 0.75)
self.assertEqual(target_pr_scores_list[1][1], 0.0) # recall@0.5
self.assertEqual(target_pr_scores_list[2][0], 0.9)
self.assertEqual(target_pr_scores_list[2][1], 0.0) # recall@0.5
if __name__ == '__main__':
tf.test.main()