pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "stark_qa"
version = "0.1.3"
dependencies = [
    "anthropic>=0.27.0",
    "bs4",
    "bm25s",
    "colbert-ai",
    "gdown",
    "gritlm",
    "huggingface_hub",
    "langchain",
    "langdetect",
    "llm2vec",
    "multiprocess",
    "nltk",
    "numpy",
    "ogb",
    "openai",
    "pandas",
    "PyTDC",
    "torch",
    "torch_geometric",
    "torchmetrics",
    "tqdm",
    "transformers",
    "voyageai"
]
requires-python = ">=3.8,<3.12"
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "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",
]
authors = [
  { name="STaRK team", email="stark-qa@cs.stanford.edu" },
]
maintainers = [
  { name="STaRK team", email="stark-qa@cs.stanford.edu" },
]
description = "Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases"
readme = "README.md"
license = {text = "MIT License"}
keywords = ["nlp", "information-retrieval", "graph", "knowledge-base", "semi-structured-data", "multimodal", "llm"]

[tool.setuptools.packages.find]
where = ["."]
include = ["stark_qa*"]
namespaces = false

[project.urls]
Homepage = "https://stark.stanford.edu/"
Repository = "https://github.com/snap-stanford/stark.git"