Metadata-Version: 2.4
Name: SynthTextEval
Version: 1.1.1
Summary: SynthTextEval is an open-source library built to enable comprehensive evaluation of synthetic text generated by large language models (LLMs). It supports the evaluation of synthetic text by considering its downstream utility, fairness, privacy preservation, and automated text quality evaluation, along with functionality for both descriptive and visual data analysis and synthetic text generation with differential privacy.
Home-page: https://github.com/kr-ramesh/synthtexteval
Author: Krithika Ramesh, Daniel Smolyak, Zihao Zhao, Nupoor Gandhi
Author-email: kramesh3@jh.edu, dsmolyak@gmail.com, zzhao71@jhu.edu, nmgandhi@cs.cmu.edu
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: datasets
Requires-Dist: evaluate
Requires-Dist: GitPython
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: mauve_text
Requires-Dist: scikit_learn
Requires-Dist: scipy
Requires-Dist: sentence_transformers
Requires-Dist: setuptools
Requires-Dist: spacy
Requires-Dist: torch
Requires-Dist: tqdm
Requires-Dist: transformers
Requires-Dist: opacus
Requires-Dist: rouge_score
Requires-Dist: pynvml
Requires-Dist: prv-accountant
Requires-Dist: tabulate
Requires-Dist: pyldavis
Requires-Dist: IPython
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