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README.md
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tags:
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- evaluate
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- metric
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---
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# Metric Card for MAUVE
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tags:
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- evaluate
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- metric
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description: >-
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MAUVE is a library built on PyTorch and HuggingFace Transformers to measure the gap between neural text and human text with the eponymous MAUVE measure.
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MAUVE summarizes both Type I and Type II errors measured softly using Kullback–Leibler (KL) divergences.
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For details, see the MAUVE paper: https://arxiv.org/abs/2102.01454 (Neurips, 2021).
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This metrics is a wrapper around the official implementation of MAUVE:
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https://github.com/krishnap25/mauve
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---
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# Metric Card for MAUVE
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