FULL
Unsupervised evaluation of open-domain conversations using follow-ups likelihood.
Installation
pip install full
Example
We provide an example script using FULL which reproduces the results of the paper.
Turn evaluation
from full import FULL
eval_model = FULL()
conversation = ["Hi", "What's your name"]
response = "None of your business"
evaluation = eval_model.evaluate_turn(convesation, response)
print(evaluation)
Conversation evaluation
from full import FULL
eval_model = FULL()
conversation = ["Hi", "What's your name", "None of your business"]
evaluation = eval_model.evaluate_turn(convesation)
print(evaluation)
License
full is distributed under the terms of the MIT license.
1 maintainer
Metadata
1 maintainer
Release files for full 0.0.3.1
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Total release size: 84.9 kB
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