Datasets:
siyue
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README.md
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## Source
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Please refer to [github repo](https://github.com/tzshi/squall/) for source data.
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## Contact
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For any issues or questions, kindly email us at: Siyue Zhang (siyue001@e.ntu.edu.sg).
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## Source
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Please refer to [github repo](https://github.com/tzshi/squall/) for source data.
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## Use
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```python
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from datasets import load_dataset
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dataset = load_dataset("siyue/squall","0")
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```
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## Contact
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For any issues or questions, kindly email us at: Siyue Zhang (siyue001@e.ntu.edu.sg).
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squall.py
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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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SquallConfig(name = 2),
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SquallConfig(name = 3),
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SquallConfig(name = 4)
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]
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def _info(self):
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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-" +
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test = filepath["wtq-test"]
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if split_key != 'test':
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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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SquallConfig(name = '2'),
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SquallConfig(name = '3'),
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SquallConfig(name = '4')
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]
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def _info(self):
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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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