metadata

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

Measurement Card for pseudo_perplexity

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

Measurement Description

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

How to Use

Give general statement of how to use the measurement

Provide simplest possible example for using the measurement

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 measurement outputs and provide an example of what the measurement 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 measurement's output can take, as well as what in that range is considered good. For example: "This measurement 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 measurement, along with the values they have reported.

Examples

Give code examples of the measurement being used. Try to include examples that clear up any potential ambiguity left from the measurement 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 measurement has, with links and references if possible.

Citation

Cite the source where this measurement was introduced.

Further References

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