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pyproject.toml
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pyproject.toml
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[project]
name = "datatrove"
version = "0.4.0" # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
description = "HuggingFace library to process and filter large amounts of webdata"
readme = "README.md"
authors = [
{name = "HuggingFace Inc.", email = "[email protected]"}
]
license = {text = "Apache-2.0"}
classifiers = [
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
keywords = ["data", "machine", "learning", "processing"]
requires-python = ">=3.10.0"
dependencies = [
"dill>=0.3.0",
"fsspec>=2023.12.2",
"huggingface-hub>=0.17.0",
"humanize",
"loguru>=0.7.0",
"multiprocess",
"numpy>=2.0.0",
"tqdm",
]
[project.optional-dependencies]
cli = [
"rich",
]
io = [
"faust-cchardet",
"pyarrow",
"python-magic",
"warcio",
"datasets>=3.1.0",
"orjson",
"zstandard"
]
s3 = [
"s3fs>=2023.12.2",
]
processing = [
"fasttext-numpy2-wheel",
"nltk",
"inscriptis",
# "readability-lxml @ git+https://github.com/huggingface/python-readability.git@speedup",
"tldextract",
"trafilatura>=1.8.0,<1.12.0",
"tokenizers",
"ftfy",
"fasteners",
"regex",
"xxhash",
"kenlm",
"pyahocorasick"
]
decont = [
"lighteval>=0.3.0"
]
multilingual = [
"spacy[ja]>=3.8",
"stanza",
"pyvi", # vietnamese
"pythainlp", # thai
"jieba", # chinese
"indic-nlp-library", # indic languages
"kiwipiepy", # korean
# urduhack has keras and tensorflow as dependencies and requires a specific version to work...
"urduhack",
"tensorflow>=2.16",
"khmer-nltk", # khmer
"laonlp", # lao
"botok", # tibetan languages,
"pyidaungsu-numpy2", # burmese
]
quality = [
"ruff>=0.1.5"
]
testing = [
"datatrove[cli]",
"datatrove[io]",
"datatrove[processing]",
"datatrove[multilingual]",
"datatrove[s3]",
# Lighteval doesn't support numpy>=2.0.0
# "datatrove[decont]",
# Flask doesn't have correct dependencies on werkzeux, causing issues, thus we pin flask 3.1 (which currently works) to avoid it
"flask>=3.1.0",
"pytest",
"pytest-timeout",
"pytest-xdist",
"moto[s3,server]",
"spacy[ja]"
]
all = [
"datatrove[quality]",
"datatrove[testing]",
]
dev = [
"datatrove[all]"
]
[project.urls]
Repository = "https://github.com/huggingface/datatrove"
[project.scripts]
check_dataset = "datatrove.tools.check_dataset:main"
merge_stats = "datatrove.tools.merge_stats:main"
launch_pickled_pipeline = "datatrove.tools.launch_pickled_pipeline:main"
failed_logs = "datatrove.tools.failed_logs:main"
inspect_data = "datatrove.tools.inspect_data:main"
jobs_status = "datatrove.tools.jobs_status:main"
[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
where = ["src"]
[tool.setuptools.package-data]
datatrove = ["assets/*"]
[tool.ruff]
lint.ignore = [
"C901", # `function_name` is too complex
"E501", # line length violation
]
lint.select = [
"C",
"E",
"F",
"I",
"W",
"NPY201", # numpy 2.0.0
]
line-length = 119
[tool.ruff.lint.per-file-ignores]
"__init__.py" = [
"F401" # module imported but unused
]
[tool.ruff.lint.isort]
lines-after-imports = 2
known-first-party = [
"datatrove"
]