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evaluate

Hugging Facegithub.com/huggingface/evaluate

HuggingFace community-driven open-source library of evaluation

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Updated 3 h ago · first seen 11 Sept 2026

lib_01M29AA4D89AQCQ9X7V1FDABSJ

Version
0.4.6
T2 · 3 h ago
Released
18 Sept 2025
T2 · 3 h ago
License
Apache 2.0
T2 · 3 h ago

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15 claims · 15 properties

Licenselicense1

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Apache 2.0currentcurrentPyPI public package metadataT2mediumdeterministic

Repositoryrepository_url1

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https://github.com/huggingface/evaluatecurrentcurrentPyPI public package metadataT2mediumdeterministic

Authorauthor1

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HuggingFace Inc.currentcurrentPyPI public package metadataT2mediumdeterministic

Descriptiondescription1

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HuggingFace community-driven open-source library of evaluationcurrentcurrentPyPI public package metadataT2mediumdeterministic

Homepagehomepage1

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https://github.com/huggingface/evaluatecurrentcurrentPyPI public package metadataT2mediumdeterministic

Latest releaselatest_release_at1

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18 Sept 2025currentcurrentPyPI public package metadataT2mediumdeterministic

Latest versionlatest_version1

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0.4.6currentcurrentPyPI public package metadataT2mediumdeterministic

Releasesmetric.releases1

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14currentcurrentPyPI public package metadataT2mediumdeterministic

PyPIpypi1

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evaluatecurrentcurrentPyPI public package metadataT2mediumdeterministic

Pypi licensepypi_license1

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Apache 2.0currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi release atpypi_release_at1

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18 Sept 2025currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi urlpypi_url1

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https://pypi.org/project/evaluate/currentcurrentPyPI public package metadataT2mediumdeterministic

Pypi versionpypi_version1

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0.4.6currentcurrentPyPI public package metadataT2mediumdeterministic

Python classifierspython_classifiers1

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Programming Language :: Python :: 3.10, Programming Language :: Python :: 3.8, Programming Language :: Python :: 3.9currentcurrentPyPI public package metadataT2mediumdeterministic

Requires pythonrequires_python1

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>=3.8.0currentcurrentPyPI public package metadataT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →