Metadata-Version: 2.1
Name: fic-evaluation
Version: 0.1.0
Summary: PyTorch implementation of the highlights faithfulness and coverage metrics for the Fusion-in-Context task
Home-page: https://github.com/fusereviews/fic_evaluation
Author: Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan
Author-email: lovodkin93@gmail.com
License: Apache License (2.0)
Keywords: fusion NLP deep learning metric
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch >=2.1.0
Requires-Dist: tqdm >=4.66.1
Requires-Dist: transformers >=4.34.1
Requires-Dist: numpy
Requires-Dist: requests
Requires-Dist: tqdm >=4.31.1
Requires-Dist: spacy >=3.7.2
Requires-Dist: accelerate >=0.24.0
Requires-Dist: packaging >=20.9

# Evaluation Framework for the Multi-Review Fusion-in-Context Task
After installing the package, please also install the required spaCy model: 

```
python -m spacy download en_core_web_sm
```
