sescore / README.md
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metadata
title: SEScore
datasets:
  - null
tags:
  - evaluate
  - metric
description: 'SEScore: a text generation evaluation metric'
sdk: gradio
sdk_version: 3.0.2
app_file: app.py
pinned: false

Metric Card for SEScore

alt text

Metric Description

SEScore is an unsupervised learned evaluation metric trained on synthesized dataset

How to Use

Provide simplest possible example for using the metric

Inputs

SEScore takes input of predictions (a list of candidate translations) and references (a list of reference translations).

Output Values

Output value is between 0 to -25

Values from Popular Papers

Examples

Give code examples of the metric being used. Try to include examples that clear up any potential ambiguity left from the metric description above. If possible, provide a range of examples that show both typical and atypical results, as well as examples where a variety of input parameters are passed.

Limitations and Bias

Note any known limitations or biases that the metric has, with links and references if possible.

Citation

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Further References

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