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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "mteb"
version = "1.6.10"
description = "Massive Text Embedding Benchmark"
readme = "README.md"
authors = [
{ name = "MTEB Contributors", email = "[email protected]" },
{ email = "[email protected]" },
{ email = "[email protected]" },
]
license = { file = "LICENSE" }
keywords = ["deep learning", "text embeddings", "benchmark"]
classifiers = [
"Development Status :: 4 - Beta",
"Environment :: Console",
"Intended Audience :: Developers",
"Intended Audience :: Information Technology",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python",
]
requires-python = ">=3.8"
dependencies = [
"datasets>=2.2.0",
"jsonlines",
"numpy",
"requests>=2.26.0",
"scikit_learn>=1.0.2",
"scipy",
"sentence_transformers>=2.2.0",
"torch",
"tqdm",
"rich",
"pytrec-eval-terrier>=0.5.6",
"pydantic",
"typing_extensions",
"eval_type_backport",
]
[project.urls]
homepage = "https://github.com/embeddings-benchmark/mteb"
"Huggingface Organization" = "https://huggingface.co/mteb"
"Source Code" = "https://github.com/embeddings-benchmark/mteb"
[project.scripts]
mteb = "mteb.cmd:main"
[project.optional-dependencies]
dev = ["ruff>=0.0.254", "pytest", "pytest-xdist"]
[tool.setuptools.packages.find]
exclude = ["tests", "results"]
[tool.setuptools.package-data]
"*" = ["*.json"]
[tool.ruff]
target-version = "py38"
[tool.ruff.lint]
select = ["E4", "E7", "E9", "F", "I"]
ignore = ["E203", "E501", "E741", "F403"]
ignore-init-module-imports = true
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.flake8-annotations]
mypy-init-return = true
suppress-none-returning = true
[tool.semantic_release]
branch = "main"
version_toml = ["pyproject.toml:project.version"]
build_command = "python -m pip install build; python -m build"
tag_format = "{version}"
[tool.semantic_release.commit_parser_options]
major_types = ["breaking"]
minor_types = ["feat"]
patch_types = ["fix", "perf"]