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Delete hitab.py

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- """HiTab : A Hierarchical Table Dataset for Question Answering and Natural Language Generation"""
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-
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- import json
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- import datasets
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-
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- _CITATION = """\
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- @article{cheng2021hitab,
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- title={HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation},
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- author={Cheng, Zhoujun and Dong, Haoyu and Wang, Zhiruo and Jia, Ran and Guo, Jiaqi and Gao, Yan and Han, Shi and Lou, Jian-Guang and Zhang, Dongmei},
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- journal={arXiv preprint arXiv:2108.06712},
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- year={2021}
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- }
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- """
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- _DESCRIPTION = """\
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- HiTab is a dataset for question answering and data-to-text over hierarchical tables . It contains 10,672 samples and 3,597 tables from statistical reports (StatCan, NSF) and Wikipedia (ToTTo). 98.1% of the tables in HiTab are with hierarchies.
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- """
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-
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- _URL = "https://github.com/microsoft/HiTab"
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-
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- class HiTab(datasets.GeneratorBasedBuilder):
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- supervised_keys=None,
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- homepage="https://www.microsoft.com/en-us/research/publication/hitab-a-hierarchical-table-dataset-for-question-answering-and-natural-language-generation/",
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- citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- return [
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- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": "./train.jsonl"}),
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- datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": "./dev.jsonl"}),
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- datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": "./test.jsonl"}),
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- ]
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-
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- def _generate_examples(self, filepath):
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- with open(filepath, encoding="utf-8") as f:
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- for line in f.readlines():
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- j = json.loads(line)
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- yield example_idx, j