Datasets:
siyue
commited on
Commit
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14d67e4
1
Parent(s):
44d2b2f
parse
Browse files
squall.py
CHANGED
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@@ -42,6 +42,25 @@ English-language questions with manually created SQL equivalents plus \
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alignments between SQL and question fragments.
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"""
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class SquallConfig(datasets.BuilderConfig):
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"""BuilderConfig for Squall."""
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@@ -58,26 +77,6 @@ class SquallConfig(datasets.BuilderConfig):
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class Squall(datasets.GeneratorBasedBuilder):
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"""SQUALL: Lexical-level Supervised Table Question Answering Dataset."""
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_URL = "https://github.com/tzshi/squall/tree/main/data/"
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# _URLS = {
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# "squall": _URL + "squall.json",
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# "twtq-test": _URL + "wtq-test.json",
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# "dev-0": _URL + "dev-0.ids",
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# "dev-1": _URL + "dev-1.ids",
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# "dev-2": _URL + "dev-2.ids",
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# "dev-3": _URL + "dev-3.ids",
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# "dev-4": _URL + "dev-4.ids",
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# }
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_URLS = {
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"squall": _URL,
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"twtq-test": _URL,
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"dev-0": _URL,
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"dev-1": _URL,
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"dev-2": _URL ,
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"dev-3": _URL,
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"dev-4": _URL,
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}
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BUILDER_CONFIGS = [
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SquallConfig(name = '0'),
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SquallConfig(name = '1'),
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@@ -125,9 +124,7 @@ class Squall(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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urls_to_download = self._URLS
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downloaded_files = dl_manager.download(urls_to_download)
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return [
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datasets.SplitGenerator(
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alignments between SQL and question fragments.
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"""
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_URL = "https://raw.githubusercontent.com/tzshi/squall/main/data/"
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# _URLS = {
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# "squall": _URL + "squall.json",
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# "twtq-test": _URL + "wtq-test.json",
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# "dev-0": _URL + "dev-0.ids",
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# "dev-1": _URL + "dev-1.ids",
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# "dev-2": _URL + "dev-2.ids",
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# "dev-3": _URL + "dev-3.ids",
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# "dev-4": _URL + "dev-4.ids",
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# }
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_URLS = {
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"squall": _URL + "squall.json",
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"twtq-test": _URL,
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"dev-0": _URL + "dev-0.ids",
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"dev-1": _URL,
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"dev-2": _URL ,
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"dev-3": _URL,
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"dev-4": _URL,
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}
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class SquallConfig(datasets.BuilderConfig):
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"""BuilderConfig for Squall."""
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class Squall(datasets.GeneratorBasedBuilder):
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"""SQUALL: Lexical-level Supervised Table Question Answering Dataset."""
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BUILDER_CONFIGS = [
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SquallConfig(name = '0'),
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SquallConfig(name = '1'),
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)
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download(_URLS)
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return [
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datasets.SplitGenerator(
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