{"default": {
    "description": "Logic2Text is a large-scale dataset with 10,753 descriptions involving common logic types paired with the underlying logical forms.\nThe logical forms show diversified graph structure of free schema, which poses great challenges on the model's ability to understand the semantics. \n",
    "citation": "@inproceedings{chen2020logic2text,\n  title={Logic2Text: High-Fidelity Natural Language Generation from Logical Forms},\n  author={Chen, Zhiyu and Chen, Wenhu and Zha, Hanwen and Zhou, Xiyou and Zhang, Yunkai and Sundaresan, Sairam and Wang, William Yang},\n  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020},\n  pages={2096--2111},\n  year={2020}\n}\n",
    "homepage": "https://github.com/czyssrs/Logic2Text",
    "license": "MIT",
    "features": {
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            "dtype": "string",
            "_type": "Value"
        },
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            "_type": "Value"
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            "_type": "Value"
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        },
        "g_adj": {
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            "_type": "Value"
        },
        "table_header": {
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            "_type": "Value"
        },
        "table_cont": {
            "dtype": "large_string",
            "_type": "Value"
        }
    },
    "builder_name": "logic2text",
    "config_name": "default",
    "version": {
        "version_str": "1.0.0",
        "major": 1,
        "minor": 0,
        "patch": 0
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            "num_examples": 8566,
            "dataset_name": null
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            "name": "validation",
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            "dataset_name": null
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            "num_examples": 1092,
            "dataset_name": null
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}}