Leyo commited on
Commit
f0d6058
1 Parent(s): a8e2ee7

add logger

Browse files
Files changed (1) hide show
  1. SNLI-VE.py +6 -4
SNLI-VE.py CHANGED
@@ -5,7 +5,9 @@ import json
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  import os
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  import datasets
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  _CITATION = """\
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  @article{xie2019visual,
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  title={Visual Entailment: A Novel Task for Fine-grained Image Understanding},
@@ -85,9 +87,9 @@ class SNLIVE(datasets.GeneratorBasedBuilder):
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  # Then, the dataset can be loaded using the following command `datasets.load_dataset("flickr30k", data_dir="<path/to/folder>")`.
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  # """
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  DEFAULT_CONFIG_NAME = "Default"
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- print("HER0")
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  def _info(self):
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- print("HERE1")
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=_FEATURES,
@@ -97,7 +99,7 @@ class SNLIVE(datasets.GeneratorBasedBuilder):
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  )
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  def _split_generators(self, dl_manager):
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- print("HERE2")
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  urls = {
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  "Default": {
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  "train": os.path.join(_SNLI_VE_URL_BASE, _SNLI_VE_SPLITS["train"]),
@@ -134,7 +136,7 @@ class SNLIVE(datasets.GeneratorBasedBuilder):
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  def _generate_examples(self, snli_ve_annotation_path, images_path):
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  counter = 0
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- print("HERE3")
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  print(snli_ve_annotation_path)
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  with open(snli_ve_annotation_path, 'r') as json_file:
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  for elem in json_file:
 
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  import os
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  import datasets
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+ import logging
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+ logger = datasets.logging.get_logger(__name__)
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  _CITATION = """\
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  @article{xie2019visual,
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  title={Visual Entailment: A Novel Task for Fine-grained Image Understanding},
 
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  # Then, the dataset can be loaded using the following command `datasets.load_dataset("flickr30k", data_dir="<path/to/folder>")`.
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  # """
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  DEFAULT_CONFIG_NAME = "Default"
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+ logger.warning("HER0")
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  def _info(self):
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+ logger.warning("HERE1")
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=_FEATURES,
 
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  )
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  def _split_generators(self, dl_manager):
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+ logger.warning("HERE2")
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  urls = {
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  "Default": {
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  "train": os.path.join(_SNLI_VE_URL_BASE, _SNLI_VE_SPLITS["train"]),
 
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  def _generate_examples(self, snli_ve_annotation_path, images_path):
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  counter = 0
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+ logger.warning("HERE3")
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  print(snli_ve_annotation_path)
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  with open(snli_ve_annotation_path, 'r') as json_file:
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  for elem in json_file: