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# coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# 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.
"""SST-2 dataset."""
from megatron import print_rank_0
from tasks.data_utils import clean_text
from .data import GLUEAbstractDataset
LABELS = [0, 1]
class SST2Dataset(GLUEAbstractDataset):
def __init__(self, name, datapaths, tokenizer, max_seq_length,
test_label=0):
self.test_label = test_label
super().__init__('SST-2', name, datapaths,
tokenizer, max_seq_length)
def process_samples_from_single_path(self, filename):
""""Implement abstract method."""
print_rank_0(' > Processing {} ...'.format(filename))
samples = []
total = 0
first = True
is_test = False
with open(filename, 'r') as f:
for line in f:
row = line.strip().split('\t')
if first:
first = False
if row[0].strip() == 'index':
is_test = True
print_rank_0(' reading {} and {} columns and '
'setting labels to {}'.format(
row[0].strip(), row[1].strip(),
self.test_label))
else:
assert len(row) == 2
print_rank_0(' reading {} and {} columns'
' ...'.format(
row[0].strip(), row[1].strip()))
continue
if is_test:
assert len(row) == 2, 'expected length 2: {}'.format(row)
uid = int(row[0].strip())
text_a = clean_text(row[1].strip())
text_b = None
label = self.test_label
assert len(text_a) > 0
else:
if len(row) == 2:
uid = total
text_a = clean_text(row[0].strip())
text_b = None
label = int(row[-1].strip())
else:
print_rank_0('***WARNING*** index error, '
'skipping: {}'.format(row))
continue
if len(text_a) == 0:
print_rank_0('***WARNING*** zero length a, '
'skipping: {}'.format(row))
continue
assert label in LABELS
assert uid >= 0
sample = {'uid': uid,
'text_a': text_a,
'text_b': text_b,
'label': label}
total += 1
samples.append(sample)
if total % 50000 == 0:
print_rank_0(' > processed {} so far ...'.format(total))
print_rank_0(' >> processed {} samples.'.format(len(samples)))
return samples
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