Abinaya Mahendiran
commited on
Commit
·
88991a8
1
Parent(s):
c1bf92d
Updated data loader script
Browse files- squad_v2.py +15 -67
squad_v2.py
CHANGED
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@@ -28,24 +28,14 @@ _DESCRIPTION = """\
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"""
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_URLS = {
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"
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"train": "./
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"test": "./
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"validation": "./
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"test": "./challenge_sets/question_type_split/challenge_question_filter_test.json",
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"validation": "./challenge_sets/question_type_split/challenge_question_filter_validation.json",
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},
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"answerable_question_split": {
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"train": "./challenge_sets/answerable_question_split/challenge_answer_filter_train.json",
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"test": "./challenge_sets/answerable_question_split/challenge_answer_filter_test.json",
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"validation": "./challenge_sets/answerable_question_split/challenge_answer_filter_validation.json",
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},
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}
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}
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class SquadV2Config(datasets.BuilderConfig):
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@@ -67,10 +57,10 @@ class SquadV2(datasets.GeneratorBasedBuilder):
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VERSION_1 = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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SquadV2Config(name="
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]
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DEFAULT_CONFIG_NAME = "
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def _info(self):
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# TODO(squad_v2): Specifies the datasets.DatasetInfo object
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@@ -116,74 +106,32 @@ class SquadV2(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": downloaded_files["
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"split": "train",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"filepath": downloaded_files["
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"split": "validation",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"filepath": downloaded_files["
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"split": "test",
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},
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),
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datasets.SplitGenerator(
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name="question_type_train",
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gen_kwargs={
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"filepath": downloaded_files["question_type_split"]["train"],
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"split": "train",
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},
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),
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datasets.SplitGenerator(
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name="question_type_test",
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gen_kwargs={
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"filepath": downloaded_files["question_type_split"]["test"],
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"split": "test",
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},
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),
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datasets.SplitGenerator(
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name="question_type_validation",
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gen_kwargs={
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"filepath": downloaded_files["question_type_split"]["validation"],
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"split": "validation",
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},
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),
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datasets.SplitGenerator(
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name="answerable_question_train",
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gen_kwargs={
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"filepath": downloaded_files["answerable_question_split"]["train"],
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"split": "train",
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},
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),
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datasets.SplitGenerator(
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name="answerable_question_test",
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gen_kwargs={
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"filepath": downloaded_files["answerable_question_split"]["test"],
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"split": "test",
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},
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),
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datasets.SplitGenerator(
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name="answerable_question_validation",
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gen_kwargs={
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"filepath": downloaded_files["answerable_question_split"]["validation"],
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"split": "validation",
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},
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),
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]
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def _generate_examples(self, filepath, split):
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"""Yields examples."""
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# TODO(squad_v2): Yields (key, example) tuples from the dataset
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with open(filepath, encoding="utf-8") as f:
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# Features currently used are "context", "question", and "answers".
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# Others are extracted here for the ease of future expansions.
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yield id_, {
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"""
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_URLS = {
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"gem_data_split":
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{
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"train": "./gem_data_split/train.json",
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"test": "./gem_data_split/test.json",
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"validation": "./gem_data_split/validation.json",
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},
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}
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class SquadV2Config(datasets.BuilderConfig):
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VERSION_1 = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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SquadV2Config(name="gem_data_split", version=VERSION_1, description="SQuAD2.0 - GEM version 1"),
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]
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DEFAULT_CONFIG_NAME = "gem_data_split"
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def _info(self):
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# TODO(squad_v2): Specifies the datasets.DatasetInfo object
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": downloaded_files["gem_data_split"]["train"],
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"split": "train",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"filepath": downloaded_files["gem_data_split"]["validation"],
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"split": "validation",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"filepath": downloaded_files["gem_data_split"]["test"],
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"split": "test",
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},
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),
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]
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def _generate_examples(self, filepath, split):
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"""Yields examples."""
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# TODO(squad_v2): Yields (key, example) tuples from the dataset
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with open(filepath, encoding="utf-8") as f:
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data = json.load(f)
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for id_, row in data:
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# Features currently used are "context", "question", and "answers".
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# Others are extracted here for the ease of future expansions.
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yield id_, {
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