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Comprehensive-RAG-Evaluation-Metrics

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0.12.0 Comprehensive_RAG_Evaluation_Metrics-0.12.0-py3-none-any.whl

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Project: Comprehensive-RAG-Evaluation-Metrics
Version: 0.12.0
Filename: Comprehensive_RAG_Evaluation_Metrics-0.12.0-py3-none-any.whl
Download: [link]
Size: 8695
MD5: c02a96bc68e1b421b029047470ec702e
SHA256: 896e49928405415b1cd223ae2b54d63315b156c213abcf6edff1205ee29f2ab2
Uploaded: 2024-08-06 13:08:19 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: Comprehensive_RAG_Evaluation_Metrics
Version: 0.12.0
Summary: This library provides a comprehensive suite of metrics to evaluate the performance of Retrieval-Augmented Generation (RAG) systems. RAG systems, which combine information retrieval with text generation, present unique evaluation challenges beyond those found in standard language generation tasks
Author: Beekash Mohanty
Author-Email: beekashmohanty222[at]gmail.com
Home-Page: https://github.com/beekash222/RAG_EVAL
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: torch
Requires-Dist: sacrebleu
Requires-Dist: rouge-score
Requires-Dist: bert-score
Requires-Dist: transformers
Requires-Dist: nltk
Requires-Dist: textblob
Requires-Dist: textstat
Requires-Dist: tabulate
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 3943 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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Comprehensive_RAG_Evaluation_Metrics/eval.py sha256=9j-5AcPkmVbpXiDokVuZxL_-dnAwNFDYvWckLyEXxaM 13193
Comprehensive_RAG_Evaluation_Metrics/test_evaluator.py sha256=cOuKSCvBf4z0mIaQQrnlwFpm7Rsv1wibxkekGF9nVfw 1048
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Comprehensive_RAG_Evaluation_Metrics-0.12.0.dist-info/RECORD — —

top_level.txt

Comprehensive_RAG_Evaluation_Metrics