Datasets:
siyue
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readme
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README.md
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## SQUALL Dataset
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To explore the utility of fine-grained, lexical-level supervision, authors introduce SQUALL, a dataset that enriches 11,276 WikiTableQuestions English-language questions with manually created SQL equivalents plus alignments between SQL and question fragments. 5-fold splits are applied to the full dataset (1 fold as dev set at each time). The subset defines which fold is selected as the validation dataset.
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WARN: alignment data (i.e., `nl_ralign` and `align`) is not implemented.
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## SQUALL Dataset
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To explore the utility of fine-grained, lexical-level supervision, authors introduce SQUALL, a dataset that enriches 11,276 WikiTableQuestions English-language questions with manually created SQL equivalents plus alignments between SQL and question fragments. 5-fold splits are applied to the full dataset (1 fold as dev set at each time). The subset defines which fold is selected as the validation dataset.
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WARN: alignment data (i.e., `nl_ralign` and `align`) is not implemented.
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squall.py
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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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# "wtq-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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"wtq-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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class SquallConfig(datasets.BuilderConfig):
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"""BuilderConfig for Squall."""
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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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name=datasets.Split.TRAIN,
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"""This function returns the examples in the raw (text) form."""
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logger.info("generating examples from = %s", filepath)
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squall_full = filepath["squall"]
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dev_ids = filepath["dev-" + self.config.name]
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test = filepath["wtq-test"]
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if split_key != 'test':
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with open(squall_full, encoding="utf-8") as f:
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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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"wtq-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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# "wtq-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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class SquallConfig(datasets.BuilderConfig):
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"""BuilderConfig for Squall."""
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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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urls_to_download = {
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"squall": _URLS["squall"],
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"wtq-test": _URLS["wtq-test"],
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"dev-0": _URLS["dev-0"],
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"dev-1": _URLS["dev-1"],
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"dev-2": _URLS["dev-2"],
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"dev-3": _URLS["dev-3"],
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"dev-4": _URLS["dev-4"],
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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"""This function returns the examples in the raw (text) form."""
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logger.info("generating examples from = %s", filepath)
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squall_full = filepath["squall"]
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dev_ids = filepath["dev-" + self.config.name]
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test = filepath["wtq-test"]
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if split_key != 'test':
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with open(squall_full, encoding="utf-8") as f:
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