File size: 2,837 Bytes
ff88fc5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "mteb"
version = "1.12.5"
description = "Massive Text Embedding Benchmark"
readme = "README.md"
authors = [
    { name = "MTEB Contributors", email = "niklas@huggingface.co" },
    { email = "nouamane@huggingface.co" },
    { email = "info@nils-reimers.de" },
]
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>=2.19.0",
    "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>=2.0.0",
    "typing_extensions",
    "eval_type_backport",
    "polars>=0.20.22",
]


[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"]
codecarbon = ["codecarbon"]


[tool.setuptools.packages.find]
exclude = ["tests", "results"]

[tool.setuptools.package-data]
"*" = ["*.json"]

[tool.ruff]
target-version = "py38"

[tool.ruff.lint]
select = ["F", "I", "E", "D"]
ignore = ["E501",   # line too long 
        "E741",     # ambiguous variable name
        "F403",     # undefined import
        "D100",     # Missing docstring in public module
        "D101",     # Missing docstring in public class
        "D102",     # Missing docstring in public method
        "D103",     # Missing docstring in public function
        "D105",     # Missing docstring in magic method
        "D104",     # Missing docstring in public package
        "D107",     # Missing docstring in __init__
        "D205",     # 1 blank line required between summary line and description
        "D415",     # First line should end with a period
]
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"]