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Update dataset card.

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  ---
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  license: mit
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ pretty_name: Dialogue NLI
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+ size_categories:
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+ - 1M<n<10M
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  ---
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+
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+ This dataset serves as a convenient way to access the ParlAI dialogue NLI dataset. I do not own the rights and all credit go to the original authors.
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+
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+ # Dialogue Natural Language Inference
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+
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+ Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho
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+
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+ arxiv link: https://arxiv.org/abs/1811.00671
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+ Abstract: Consistency is a long standing issue faced by dialogue models. In this paper, we frame the consistency of dialogue agents as natural language inference (NLI) and create a new natural language inference dataset called Dialogue NLI. We propose a method which demonstrates that a model trained on Dialogue NLI can be used to improve the consistency of a dialogue model, and evaluate the method with human evaluation and with automatic metrics on a suite of evaluation sets designed to measure a dialogue model’s consistency.
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+
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+ ### Citation
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+
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+ ```
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+ @misc{welleck2019dialogue,
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+ title={Dialogue Natural Language Inference},
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+ author={Sean Welleck and Jason Weston and Arthur Szlam and Kyunghyun Cho},
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+ year={2019},
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+ eprint={1811.00671},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```