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.
Metadata
Release files for full 0.0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| full-0.0.3.1.tar.gz | 80.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| full-0.0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.9 kB
Release files / full-0.0.3.1.tar.gz
| Download URL | full-0.0.3.1.tar.gz |
|---|---|
| Size | 80.8 kB |
| Tags | Source |
|
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Release files / full-0.0.3.1-py3-none-any.whl
| Download URL | full-0.0.3.1-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.23.0
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