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setup.py
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58 lines (56 loc) · 1.86 KB
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from setuptools import setup, find_packages
from pathlib import Path
# Read the README file
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text(encoding="utf-8")
setup(
name="research-rubrics",
version="1.0.0",
author="Manasi Sharma et al.",
author_email="manasi.sharma@scale.com",
description="ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/scaleapi/researchrubrics",
packages=find_packages(where="src"),
package_dir={"": "src"},
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
python_requires=">=3.8",
install_requires=[
"pandas>=1.3.0",
"numpy>=1.20.0",
"litellm>=1.0.0",
"markitdown>=0.1.0",
"PyPDF2>=3.0.0",
"scikit-learn>=1.0.0",
"tqdm>=4.60.0",
"requests>=2.25.0",
"pyarrow>=10.0.0",
],
extras_require={
"dev": [
"pytest>=7.0.0",
"pytest-asyncio>=0.20.0",
"black>=22.0.0",
"flake8>=4.0.0",
],
},
entry_points={
"console_scripts": [
"extract-rubrics=extract_rubrics.extract_rubrics_batch:main",
"evaluate-rubrics=evaluate_rubrics.evaluate_rubrics_batch:main",
],
},
include_package_data=True,
zip_safe=False,
)