pyproject.toml 3.54 KB
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[build-system]
requires = ["setuptools>=40.8.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "lm_eval"
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version = "0.4.9"
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authors = [
    {name="EleutherAI", email="contact@eleuther.ai"}
]
description = "A framework for evaluating language models"
readme = "README.md"
classifiers = [
    "Development Status :: 3 - Alpha",
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]
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requires-python = ">=3.9"
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license = { "text" = "MIT" }
dependencies = [
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    "accelerate>=0.26.0",
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    "datasets>=2.16.0",
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    "evaluate>=0.4.0",
    "peft>=0.2.0",
    "pytablewriter",
    "rouge-score>=0.0.4",
    "sacrebleu>=1.5.0",
    "scikit-learn>=0.24.1",
    "sqlitedict",
    "torch>=1.8",
    "transformers>=4.1",
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    "dill",
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    "word2number",
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    "more_itertools",
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]

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[tool.setuptools.packages.find]
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include = ["lm_eval*"]
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# required to include yaml files in pip installation
[tool.setuptools.package-data]
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lm_eval = ["**/*.yaml", "tasks/**/*"]
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[project.scripts]
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lm-eval = "lm_eval.__main__:cli_evaluate"
lm_eval = "lm_eval.__main__:cli_evaluate"
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[project.urls]
Homepage = "https://github.com/EleutherAI/lm-evaluation-harness"
Repository = "https://github.com/EleutherAI/lm-evaluation-harness"

[project.optional-dependencies]
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acpbench = ["lark>=1.1.9", "tarski[clingo]==0.8.2", "pddl==0.4.2", "kstar-planner==1.4.2"]
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api = ["requests", "aiohttp", "tenacity", "tqdm", "tiktoken"]
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audiolm_qwen = ["librosa", "soundfile"]
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dev = ["pytest", "pytest-cov", "pytest-xdist", "pre-commit", "requests", "aiohttp", "tenacity", "tqdm", "tiktoken", "sentencepiece"]
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gptq = ["auto-gptq[triton]>=0.6.0"]
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gptqmodel = ["gptqmodel>=1.0.9"]
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hf_transfer = ["hf_transfer"]
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ibm_watsonx_ai = ["ibm_watsonx_ai>=1.1.22", "python-dotenv"]
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ifeval = ["langdetect", "immutabledict", "nltk>=3.9.1"]
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ipex = ["optimum"]
japanese_leaderboard = ["emoji==2.14.0", "neologdn==0.5.3", "fugashi[unidic-lite]", "rouge_score>=0.1.2"]
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longbench=["jieba", "fuzzywuzzy", "rouge"]
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mamba = ["mamba_ssm", "causal-conv1d==1.0.2", "torch"]
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math = ["sympy>=1.12", "antlr4-python3-runtime==4.11", "math_verify[antlr4_11_0]"]
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multilingual = ["nagisa>=0.2.7", "jieba>=0.42.1", "pycountry"]
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neuronx = ["optimum[neuronx]"]
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optimum = ["optimum[openvino]"]
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promptsource = ["promptsource>=0.2.3"]
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ruler = ["nltk", "wonderwords", "scipy"]
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sae_lens = ["sae_lens"]
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sentencepiece = ["sentencepiece>=0.1.98"]
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sparsify = ["sparsify"]
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testing = ["pytest", "pytest-cov", "pytest-xdist"]
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unitxt = ["unitxt==1.22.0"]
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vllm = ["vllm>=0.4.2"]
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wandb = ["wandb>=0.16.3", "pandas", "numpy"]
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zeno = ["pandas", "zeno-client"]
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tasks = [
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    "lm_eval[acpbench]",
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    "lm_eval[ifeval]",
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    "lm_eval[japanese_leaderboard]",
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    "lm_eval[longbench]",
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    "lm_eval[math]",
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    "lm_eval[multilingual]",
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    "lm_eval[ruler]",
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]
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[tool.pymarkdown]
plugins.md013.enabled = false # line-length
plugins.md024.allow_different_nesting = true # no-duplicate-headers
plugins.md025.enabled = false # single-header
plugins.md028.enabled = false # no-blanks-blockquote
plugins.md029.allow_extended_start_values = true # ol-prefix
plugins.md034.enabled = false # no-bare-urls

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[tool.ruff]
target-version = "py39"
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lint.extend-select = ["I", "UP", "E", "C419", "F", "B", "SIM"]
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lint.ignore = ["E402", "E731", "E501", "E111", "E114", "E117", "E741"]
fixable = ["I001", "F401", "UP"]
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[tool.ruff.lint.isort]
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combine-as-imports = true
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lines-after-imports = 2
known-first-party = ["lm_eval"]

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[tool.ruff.lint.extend-per-file-ignores]
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"__init__.py" = ["F401","F402","F403"]
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[dependency-groups]
dev = [
  "api","dev","sentencepiece"
]