{"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" }, "linked_columns": { "dtype": "string", "_type": "Value" }, "title": { "dtype": "string", "_type": "Value" }, "template": { "dtype": "string", "_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", "num_bytes": 41970984, "num_examples": 28450, "dataset_name": null }, "validation": { "name": "validation", "num_bytes": 6254952, "num_examples": 4260, "dataset_name": null }, "test": { "name": "test", "num_bytes": 6051905, "num_examples": 4305, "dataset_name": null } }, "download_size": 7704759, "dataset_size": 54277841, "size_in_bytes": 61982600 }}