def test_squad_tensorizer(self):
source = SquadDataSource.from_config(
SquadDataSource.Config(
eval_filename=tests_module.test_file("squad_tiny.json")
)
)
row = next(iter(source.eval))
tensorizer = SquadForBERTTensorizer.from_config(
SquadForBERTTensorizer.Config(
tokenizer=WordPieceTokenizer.Config(
wordpiece_vocab_path="pytext/data/test/data/wordpiece_1k.txt"
),
max_seq_len=250,
)
)
tokens, segments, seq_len, start, end = tensorizer.numberize(row)
# check against manually verified answer positions in tokenized output
# there are 4 identical answers
self.assertEqual(start, [83, 83, 83, 83])
self.assertEqual(end, [87, 87, 87, 87])
self.assertEqual(len(tokens), seq_len)
self.assertEqual(len(segments), seq_len)
tensorizer.max_seq_len = 50
# answer should be truncated out
_, _, _, start, end = tensorizer.numberize(row)
self.assertEqual(start, [-100, -100, -100, -100])
self.assertEqual(end, [-100, -100, -100, -100])
self.assertEqual(len(tokens), seq_len)
self.assertEqual(len(segments), seq_len)
def setUp(self):
self.json_data_source = SquadDataSource.from_config(
SquadDataSource.Config(
train_filename=tests_module.test_file("squad_tiny.json"),
eval_filename=None,
test_filename=None,
)
)
self.tsv_data_source = SquadDataSource.from_config(
SquadDataSource.Config(
train_filename=tests_module.test_file("squad_tiny.tsv"),
eval_filename=None,
test_filename=None,
)
)
self.tensorizer_with_wordpiece = SquadTensorizer.from_config(
SquadTensorizer.Config(
tokenizer=WordPieceTokenizer.Config(
wordpiece_vocab_path="pytext/data/test/data/wordpiece_1k.txt"
),
max_seq_len=250,
)
)
self.tensorizer_with_alphanumeric = SquadTensorizer.from_config(
SquadTensorizer.Config(
tokenizer=Tokenizer.Config(split_regex=r"\W+"), max_seq_len=250
)
)