metadata

title: YL Metric
datasets:
  - null
tags:
  - evaluate
  - metric
description: 'TODO: add a description here'
sdk: gradio
sdk_version: 3.0.2
app_file: app.py
pinned: false

Metric Card for YL Metric

Module Card Instructions: Fill out the following subsections. Feel free to take a look at existing metric cards if you'd like examples.

Metric Description

Give a brief overview of this metric, including what task(s) it is usually used for, if any.

How to Use

Give general statement of how to use the metric

Provide simplest possible example for using the metric

Inputs

List all input arguments in the format below

input_field (type): Definition of input, with explanation if necessary. State any default value(s).

Output Values

Explain what this metric outputs and provide an example of what the metric output looks like. Modules should return a dictionary with one or multiple key-value pairs, e.g. {"bleu" : 6.02}

State the range of possible values that the metric's output can take, as well as what in that range is considered good. For example: "This metric can take on any value between 0 and 100, inclusive. Higher scores are better."

Values from Popular Papers

Give examples, preferrably with links to leaderboards or publications, to papers that have reported this metric, along with the values they have reported.

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

Cite the source where this metric was introduced.

Further References

Add any useful further references.