add logger
Browse files- 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},
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@@ -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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-
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def _info(self):
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-
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=_FEATURES,
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@@ -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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-
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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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@@ -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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-
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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:
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