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dataset_infos.json
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"description": "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.\n",
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"citation": "@article{cheng2021hitab,\n title={HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation},\n 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},\n journal={arXiv preprint arXiv:2108.06712},\n year={2021}\n}\n",
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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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"license": "",
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"features": {
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"id": {
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"dtype": "string",
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"description": "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.\n",
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"citation": "@article{cheng2021hitab,\n title={HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation},\n 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},\n journal={arXiv preprint arXiv:2108.06712},\n year={2021}\n}\n",
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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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"license": "C-UDA 1.0",
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"features": {
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"id": {
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"dtype": "string",
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