Oleg Somov
commited on
Commit
•
551770f
1
Parent(s):
17d6e2b
update splits
Browse files- formatted_pauq.zip +2 -2
- pauq.py +98 -38
formatted_pauq.zip
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e3f42f518bdc7f34dca9722b52c9f3fe9173ba776136c257917cb4e7a4dab0a
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size 318919596
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pauq.py
CHANGED
@@ -48,11 +48,14 @@ _HOMEPAGE = "https://github.com/ai-spiderweb/pauq"
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_URL = "https://huggingface.co/datasets/composite/pauq/resolve/main/formatted_pauq.zip"
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class Pauq(datasets.GeneratorBasedBuilder):
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@@ -60,24 +63,34 @@ class Pauq(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="
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version=VERSION,
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description=
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),
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datasets.BuilderConfig(
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name="
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version=VERSION,
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description=
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),
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datasets.BuilderConfig(
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name="
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version=VERSION,
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description=
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),
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datasets.BuilderConfig(
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name="
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version=VERSION,
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description=
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),
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]
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@@ -94,46 +107,64 @@ class Pauq(datasets.GeneratorBasedBuilder):
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"question_toks": datasets.features.Sequence(datasets.Value("string")),
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"query_toks": datasets.features.Sequence(datasets.Value("string")),
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"query_toks_no_values": datasets.features.Sequence(datasets.Value("string")),
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-
"
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}
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)
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dataset_info = None
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if self.config.name == '
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dataset_info = datasets.DatasetInfo(
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description=
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="
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elif self.config.name == "
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dataset_info = datasets.DatasetInfo(
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description=
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="
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elif self.config.name == '
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dataset_info = datasets.DatasetInfo(
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description=
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="
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elif self.config.name == '
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dataset_info = datasets.DatasetInfo(
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description=
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="
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return dataset_info
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@@ -143,65 +174,94 @@ class Pauq(datasets.GeneratorBasedBuilder):
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dataset_name = self.config.name
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splits = []
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if dataset_name == '
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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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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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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},
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)
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]
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elif dataset_name == '
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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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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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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},
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)]
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elif dataset_name == '
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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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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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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},
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)
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]
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elif dataset_name == '
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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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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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/
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},
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)
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]
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return splits
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def _generate_examples(self, data_filepath):
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@@ -221,5 +281,5 @@ class Pauq(datasets.GeneratorBasedBuilder):
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"question_toks": sample["question_toks"],
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"query_toks": sample["query_toks"],
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"query_toks_no_values": sample["query_toks_no_values"],
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-
"
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}
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_URL = "https://huggingface.co/datasets/composite/pauq/resolve/main/formatted_pauq.zip"
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RUSSIAN_PAUQ_TRL_DESCRIPTION = "Russian PAUQ train/test split based on target length of SQL query. Long query template in train, short query template in test."
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ENGLISH_PAUQ_TRL_DESCRIPTION = "English PAUQ train/test split based on target length of SQL query. Long query template in train, short query template in test."
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RUSSIAN_PAUQ_TSL_DESCRIPTION = "Russian PAUQ train/test split based on target length of SQL query. Short query template in train, long query template in test."
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ENGLISH_PAUQ_TSL_DESCRIPTION = "English PAUQ train/test split based on target length of SQL query. Short query template in train, long query template in test."
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RUSSIAN_PAUQ_OS_DESCRIPTION = "Independent and identical Russian PAUQ train/test split. Сorresponds to original Spider splitting."
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ENGLISH_PAUQ_OS_DESCRIPTION = "Independent and identical English PAUQ train/test split. Сorresponds to original Spider splitting."
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class Pauq(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="ru_trl",
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version=VERSION,
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description=RUSSIAN_PAUQ_TRL_DESCRIPTION,
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),
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datasets.BuilderConfig(
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name="en_trl",
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version=VERSION,
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description=ENGLISH_PAUQ_TRL_DESCRIPTION,
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),
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datasets.BuilderConfig(
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name="ru_tsl",
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version=VERSION,
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description=RUSSIAN_PAUQ_TSL_DESCRIPTION,
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),
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datasets.BuilderConfig(
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name="en_tsl",
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version=VERSION,
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description=ENGLISH_PAUQ_TSL_DESCRIPTION,
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),
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datasets.BuilderConfig(
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name="ru_os",
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version=VERSION,
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description=RUSSIAN_PAUQ_OS_DESCRIPTION,
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),
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datasets.BuilderConfig(
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name="en_os",
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version=VERSION,
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description=ENGLISH_PAUQ_OS_DESCRIPTION,
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),
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]
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"question_toks": datasets.features.Sequence(datasets.Value("string")),
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"query_toks": datasets.features.Sequence(datasets.Value("string")),
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"query_toks_no_values": datasets.features.Sequence(datasets.Value("string")),
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"template": datasets.Value("string")
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}
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)
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dataset_info = None
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if self.config.name == 'ru_trl':
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dataset_info = datasets.DatasetInfo(
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description=RUSSIAN_PAUQ_TRL_DESCRIPTION,
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="ru_trl")
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elif self.config.name == "en_trl":
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dataset_info = datasets.DatasetInfo(
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description=ENGLISH_PAUQ_TRL_DESCRIPTION,
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="en_trl")
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elif self.config.name == 'ru_os':
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dataset_info = datasets.DatasetInfo(
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description=RUSSIAN_PAUQ_OS_DESCRIPTION,
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="ru_os")
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elif self.config.name == 'en_os':
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dataset_info = datasets.DatasetInfo(
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description=ENGLISH_PAUQ_OS_DESCRIPTION,
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features=features,
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supervised_keys=None,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="en_os")
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elif self.config.name == 'ru_tsl':
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dataset_info = datasets.DatasetInfo(
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description=RUSSIAN_PAUQ_TSL_DESCRIPTION,
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+
features=features,
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+
supervised_keys=None,
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+
homepage=_HOMEPAGE,
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+
license=_LICENSE,
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+
citation=_CITATION,
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config_name="ru_tsl")
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+
elif self.config.name == "en_tsl":
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+
dataset_info = datasets.DatasetInfo(
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description=ENGLISH_PAUQ_TSL_DESCRIPTION,
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+
features=features,
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+
supervised_keys=None,
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+
homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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config_name="en_tsl")
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return dataset_info
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dataset_name = self.config.name
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splits = []
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+
if dataset_name == 'ru_trl':
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_trl_train.json"),
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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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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_trl_test.json"),
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},
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)
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]
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+
elif dataset_name == 'en_trl':
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_trl_train.json"),
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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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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_trl_test.json"),
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},
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)]
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+
elif dataset_name == 'ru_os':
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_os_train.json"),
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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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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_os_test.json"),
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},
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)
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]
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+
elif dataset_name == 'en_os':
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_os_train.json"),
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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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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_os_test.json"),
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},
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)
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]
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+
elif dataset_name == 'ru_tsl':
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_tsl_train.json"),
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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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+
"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/ru_tsl_test.json"),
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+
},
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)
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]
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+
elif dataset_name == 'en_tsl':
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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+
gen_kwargs={
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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_tsl_train.json"),
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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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"data_filepath": os.path.join(downloaded_filepath, "formatted_pauq/splits/en_tsl_test.json"),
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},
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)]
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return splits
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def _generate_examples(self, data_filepath):
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"question_toks": sample["question_toks"],
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"query_toks": sample["query_toks"],
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"query_toks_no_values": sample["query_toks_no_values"],
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+
"template": sample["masked_query"]
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}
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