logicnlg / dataset_infos.json
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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"
},
"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,
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"size_in_bytes": 61982600
}}