Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
| {"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", | |
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| "builder_name": "logicnlg", | |
| "config_name": "default", | |
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| "version_str": "1.0.0", | |
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| "train": { | |
| "name": "train", | |
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