Upload wikisql_VALUE.py
Browse files- wikisql_VALUE.py +70 -80
wikisql_VALUE.py
CHANGED
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@@ -30,15 +30,20 @@ _AGG_OPS = ["", "MAX", "MIN", "COUNT", "SUM", "AVG"]
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_COND_OPS = ["=", ">", "<", "OP"]
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class
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"""
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{
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"phase": datasets.Value("int32"),
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"question": datasets.Value("string"),
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@@ -66,7 +71,55 @@ class WikiSQL(datasets.GeneratorBasedBuilder):
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),
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},
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}
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)
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# If there's a common (input, target) tuple from the features,
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# specify them here. They'll be used if as_supervised=True in
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# builder.as_dataset.
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@@ -83,89 +136,26 @@ class WikiSQL(datasets.GeneratorBasedBuilder):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "test_AppE.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "test.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.AppE.VALIDATION,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "dev_AppE.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "dev.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.AppE.TRAIN,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "train_AppE.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "train.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.ChcE.TEST,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "test_ChcE.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "test.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.ChcE.VALIDATION,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "dev_ChcE.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "dev.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.ChcE.TRAIN,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "train_ChcE.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "train.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.CollSgE.TEST,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir,
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"tables_filepath": os.path.join(dl_dir, "test.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir,
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"tables_filepath": os.path.join(dl_dir, "dev.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir,
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"tables_filepath": os.path.join(dl_dir, "train.tables.jsonl"),
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},
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)
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datasets.SplitGenerator(
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name=datasets.Split.SAE.TEST,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "test.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "test.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.SAE.VALIDATION,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "dev.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "dev.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.SAE.TRAIN,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, "train.jsonl"),
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"tables_filepath": os.path.join(dl_dir, "train.tables.jsonl"),
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},
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),
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]
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def _convert_to_human_readable(self, sel, agg, columns, conditions):
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_COND_OPS = ["=", ">", "<", "OP"]
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class WikiSQLConfig(datasets.BuilderConfig):
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"""BuilderConfig for WikiSQL."""
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def __init__(
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self,
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name,
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description,
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train_path,
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dev_path,
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test_path
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**kwargs,
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):
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super(WikiSQLConfig, self).__init__(version=datasets.Version("0.1.0", ""), **kwargs)
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self.text_features = datasets.Features(
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{
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"phase": datasets.Value("int32"),
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"question": datasets.Value("string"),
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),
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},
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}
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)
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self.description = description
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self.train_path = train_path
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self.dev_path = dev_path
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self.test_path = test_path
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class WikiSQL(datasets.GeneratorBasedBuilder):
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"""WikiSQL: A large crowd-sourced dataset for developing natural language interfaces for relational databases"""
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VERSION = datasets.Version("0.1.0")
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BUILDER_CONFIGS = [
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WikiSQLConfig(
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name="AppE",
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description=textwrap.dedent(
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"""\
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An Appalachian English variant of the large crowd-sourced dataset for developing natural language interfaces for relational databases"""
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),
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train_path="train_AppE.jsonl",
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dev_path="dev_AppE.jsonl",
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test_path="test_AppE.jsonl"
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),
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WikiSQLConfig(
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name="ChcE",
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description=textwrap.dedent(
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"""\
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A Chicano English variant of the large crowd-sourced dataset for developing natural language interfaces for relational databases"""
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),
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train_path="train_ChcE.jsonl",
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dev_path="dev_ChcE.jsonl",
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test_path="test_ChcE.jsonl"
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),
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WikiSQLConfig(
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name="CollSgE",
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description=textwrap.dedent(
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"""\
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A Singapore English (Singlish) variant of the large crowd-sourced dataset for developing natural language interfaces for relational databases"""
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),
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train_path="train_CollSgE.jsonl",
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dev_path="dev_CollSgE.jsonl",
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test_path="test_CollSgE.jsonl"
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=self.config.description,
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features=self.config.features
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# If there's a common (input, target) tuple from the features,
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# specify them here. They'll be used if as_supervised=True in
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# builder.as_dataset.
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, self.config.test_path),
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"tables_filepath": os.path.join(dl_dir, "test.tables.jsonl"),
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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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"main_filepath": os.path.join(dl_dir, self.config.dev_path),
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"tables_filepath": os.path.join(dl_dir, "dev.tables.jsonl"),
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"main_filepath": os.path.join(dl_dir, self.config.train_path),
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"tables_filepath": os.path.join(dl_dir, "train.tables.jsonl"),
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},
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)
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]
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def _convert_to_human_readable(self, sel, agg, columns, conditions):
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