ConsistencyBench
Setup
First install the package from PyPI.
pip install consistencybench
Additionally, if you'd like to use the NER metric (consistencybench.metrics.AgreementNER), run the following first.
python -m spacy download en_core_web_sm
To start generation and scoring
Set the arguments from run_eval.py
python run_eval.py --openai_api_key <OPENAI_API_KEY>
Example Output file: consistencybench/result_gpt-3.5-turbo_paraphrasing.csv
Example Jupyter Notebook: example.ipynb
Metadata
Release files for ConsistencyBench 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| consistencybench-0.1.3.tar.gz | 15.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| consistencybench-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.6 kB
Release files / consistencybench-0.1.3.tar.gz
| Download URL | consistencybench-0.1.3.tar.gz |
|---|---|
| Size | 15.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.11.5 Linux/6.8.0-76060800daily20240311-generic
|
Release files / consistencybench-0.1.3-py3-none-any.whl
| Download URL | consistencybench-0.1.3-py3-none-any.whl |
|---|---|
| Size | 19.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.2 CPython/3.11.5 Linux/6.8.0-76060800daily20240311-generic
|