Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
ArXiv:
Tags:
License:
albertvillanova HF staff commited on
Commit
ffddb26
1 Parent(s): 29e6cdd

Delete legacy dataset_infos.json

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  1. dataset_infos.json +0 -126
dataset_infos.json DELETED
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- {
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- "description": "\nCommon Sense Explanations (CoS-E) allows for training language models to\nautomatically generate explanations that can be used during training and\ninference in a novel Commonsense Auto-Generated Explanation (CAGE) framework.\n",
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- "citation": "\n@inproceedings{rajani2019explain,\n title = {Explain Yourself! Leveraging Language models for Commonsense Reasoning},\n author = {Rajani, Nazneen Fatema and\n McCann, Bryan and\n Xiong, Caiming and\n Socher, Richard}\n year={2019}\n booktitle = {Proceedings of the 2019 Conference of the Association for Computational Linguistics (ACL2019)}\n url ={https://arxiv.org/abs/1906.02361}\n}\n",
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- "description": "\nCommon Sense Explanations (CoS-E) allows for training language models to\nautomatically generate explanations that can be used during training and\ninference in a novel Commonsense Auto-Generated Explanation (CAGE) framework.\n",
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