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xnli.py
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Fri, May 3, 00:30
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text/x-python
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Sun, May 5, 00:30 (1 d, 23 h)
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R11484 ADDI
xnli.py
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# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, 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.
""" XNLI utils (dataset loading and evaluation) """
import
os
from
...utils
import
logging
from
.utils
import
DataProcessor
,
InputExample
logger
=
logging
.
get_logger
(
__name__
)
class
XnliProcessor
(
DataProcessor
):
"""
Processor for the XNLI dataset. Adapted from
https://github.com/google-research/bert/blob/f39e881b169b9d53bea03d2d341b31707a6c052b/run_classifier.py#L207
"""
def
__init__
(
self
,
language
,
train_language
=
None
):
self
.
language
=
language
self
.
train_language
=
train_language
def
get_train_examples
(
self
,
data_dir
):
"""See base class."""
lg
=
self
.
language
if
self
.
train_language
is
None
else
self
.
train_language
lines
=
self
.
_read_tsv
(
os
.
path
.
join
(
data_dir
,
"XNLI-MT-1.0/multinli/multinli.train.{}.tsv"
.
format
(
lg
)))
examples
=
[]
for
(
i
,
line
)
in
enumerate
(
lines
):
if
i
==
0
:
continue
guid
=
"
%s
-
%s
"
%
(
"train"
,
i
)
text_a
=
line
[
0
]
text_b
=
line
[
1
]
label
=
"contradiction"
if
line
[
2
]
==
"contradictory"
else
line
[
2
]
assert
isinstance
(
text_a
,
str
),
f
"Training input {text_a} is not a string"
assert
isinstance
(
text_b
,
str
),
f
"Training input {text_b} is not a string"
assert
isinstance
(
label
,
str
),
f
"Training label {label} is not a string"
examples
.
append
(
InputExample
(
guid
=
guid
,
text_a
=
text_a
,
text_b
=
text_b
,
label
=
label
))
return
examples
def
get_test_examples
(
self
,
data_dir
):
"""See base class."""
lines
=
self
.
_read_tsv
(
os
.
path
.
join
(
data_dir
,
"XNLI-1.0/xnli.test.tsv"
))
examples
=
[]
for
(
i
,
line
)
in
enumerate
(
lines
):
if
i
==
0
:
continue
language
=
line
[
0
]
if
language
!=
self
.
language
:
continue
guid
=
"
%s
-
%s
"
%
(
"test"
,
i
)
text_a
=
line
[
6
]
text_b
=
line
[
7
]
label
=
line
[
1
]
assert
isinstance
(
text_a
,
str
),
f
"Training input {text_a} is not a string"
assert
isinstance
(
text_b
,
str
),
f
"Training input {text_b} is not a string"
assert
isinstance
(
label
,
str
),
f
"Training label {label} is not a string"
examples
.
append
(
InputExample
(
guid
=
guid
,
text_a
=
text_a
,
text_b
=
text_b
,
label
=
label
))
return
examples
def
get_labels
(
self
):
"""See base class."""
return
[
"contradiction"
,
"entailment"
,
"neutral"
]
xnli_processors
=
{
"xnli"
:
XnliProcessor
,
}
xnli_output_modes
=
{
"xnli"
:
"classification"
,
}
xnli_tasks_num_labels
=
{
"xnli"
:
3
,
}
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