fic-evaluation

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0.1.0 fic_evaluation-0.1.0-py3-none-any.whl

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Project: fic-evaluation
Version: 0.1.0
Filename: fic_evaluation-0.1.0-py3-none-any.whl
Download: [link]
Size: 9307
MD5: 82b684f60fefe1b23c27797e89f6ef47
SHA256: 3a8895a3b4d2a58bf64d8dcce3a476485790b17f4e6e8915f80578dadca72b50
Uploaded: 2024-03-20 20:10:18 +0000

dist-info

METADATA

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
Author: Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan
Author-Email: lovodkin93[at]gmail.com
Home-Page: https://github.com/fusereviews/fic_evaluation
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
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)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 193 characters]

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Tag: py3-none-any

RECORD

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fic_evaluation/src/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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fic_evaluation-0.1.0.dist-info/RECORD

top_level.txt

fic_evaluation