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Upload dataset_infos.json with huggingface_hub

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  1. dataset_infos.json +4 -4
dataset_infos.json CHANGED
@@ -1,8 +1,8 @@
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  {"default": {
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- "description": "LogicNLG: natural language generation with logical inference in the intermediate steps\n",
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  "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",
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  "homepage": "https://wenhuchen.github.io/logicnlg.github.io/",
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- "license": "",
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  "features": {
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  "table": {
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  "dtype": "large_string",
@@ -32,8 +32,8 @@
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  "builder_name": "logicnlg",
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  "config_name": "default",
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  "version": {
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- "version_str": "0.0.0",
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- "major": 0,
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  "minor": 0,
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  "patch": 0
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  },
 
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  {"default": {
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+ "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",
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  "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",
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  "homepage": "https://wenhuchen.github.io/logicnlg.github.io/",
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+ "license": "MIT",
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  "features": {
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  "table": {
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  "dtype": "large_string",
 
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  "builder_name": "logicnlg",
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  "config_name": "default",
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  "version": {
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+ "version_str": "1.0.0",
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+ "major": 1,
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  "minor": 0,
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  "patch": 0
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  },