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Commit 6d3756e8 authored by Jiayu Ye's avatar Jiayu Ye Committed by A. Unique TensorFlower
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Internal change 

PiperOrigin-RevId: 440245619
parent 20949dd8
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official/nlp/data/classifier_data_lib.py
View file @ 6d3756e8
......@@ -187,6 +187,8 @@ class AxProcessor(DataProcessor):
def _create_examples_tfds(self, dataset, set_type):
"""Creates examples for the training/dev/test sets."""
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -218,6 +220,8 @@ class ColaProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/cola", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -312,6 +316,8 @@ class MnliProcessor(DataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/mnli", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -343,6 +349,8 @@ class MrpcProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/mrpc", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -453,6 +461,8 @@ class QnliProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/qnli", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -484,6 +494,8 @@ class QqpProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/qqp", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -517,6 +529,8 @@ class RteProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/rte", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -548,6 +562,8 @@ class SstProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/sst2", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -574,6 +590,8 @@ class StsBProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/stsb", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......@@ -742,6 +760,8 @@ class WnliProcessor(DefaultGLUEDataProcessor):
"""Creates examples for the training/dev/test sets."""
dataset = tfds.load(
"glue/wnli", split=set_type, try_gcs=True).as_numpy_iterator()
dataset = list(dataset)
dataset.sort(key=lambda x: x["idx"])
examples = []
for i, example in enumerate(dataset):
guid = "%s-%s" % (set_type, i)
......
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