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{"default": {
    "description": "LogicNLG is a dataset for natural language generation from open-domain tables. \nLogicNLG is based on TabFact (Chen et al., 2019), which is a table-based fact-checking dataset with rich logical inferences in the annotated statements.\n",
    "citation": "@inproceedings{chen2020logical,\n  title={Logical Natural Language Generation from Open-Domain Tables},\n  author={Chen, Wenhu and Chen, Jianshu and Su, Yu and Chen, Zhiyu and Wang, William Yang},\n  booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},\n  pages={7929--7942},\n  year={2020}\n}\n",
    "homepage": "https://wenhuchen.github.io/logicnlg.github.io/",
    "license": "MIT",
    "features": {
        "table": {
            "dtype": "large_string",
            "_type": "Value"
        },
        "ref": {
            "dtype": "string",
            "_type": "Value"
        },
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            "_type": "Value"
        },
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        },
        "template": {
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            "_type": "Value"
        },
        "table_id": {
            "dtype": "string",
            "_type": "Value"
        }
    },
    "builder_name": "logicnlg",
    "config_name": "default",
    "version": {
        "version_str": "1.0.0",
        "major": 1,
        "minor": 0,
        "patch": 0
    },
    "splits": {
        "train": {
            "name": "train",
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            "num_examples": 28450,
            "dataset_name": null
        },
        "validation": {
            "name": "validation",
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        },
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            "num_examples": 4305,
            "dataset_name": null
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}}