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pyproject.toml
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58 lines (49 loc) · 1.57 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "eyebench"
version = "1.0.0"
description = "EyeBench: Predictive Modeling from Eye Movements in Reading"
readme = "README.md"
requires-python = ">=3.12"
license = { text = "MIT License" }
authors = [
{ name = "Omer Shubi", email = "shubi@campus.technion.ac.il" },
{ name = "David R. Reich", email = "davidrobert.reich@uzh.ch" },
{ name = "Keren Gruteke Klein", email = "gkeren@campus.technion.ac.il" },
{ name = "Yuval Angel", email = "yuval.angel@campus.technion.ac.il" },
{ name = "Paul Prasse", email = "paul.prasse@uni-potsdam.de" },
{ name = "Lena Jäger", email = "lenaann.jaeger@uzh.ch" },
{ name = "Yevgeni Berzak", email = "berzak@technion.ac.il" }
]
keywords = [
"eye-tracking",
"reading",
"machine-learning",
"benchmark",
"multimodal-ai",
"cognitive-science",
"neural-networks"
]
classifiers = [
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
[project.urls]
Homepage = "https://github.com/EyeBench/eyebench"
Documentation = "https://eyebench.github.io"
Repository = "https://github.com/EyeBench/eyebench"
"Bug Tracker" = "https://github.com/EyeBench/eyebench/issues"
"Paper (NeurIPS 2025)" = "https://arxiv.org/abs/TODO"
"DOI" = "https://doi.org/TODO"
[tool.hatch.metadata]
allow-direct-references = true
[tool.hatch.build.targets.wheel]
packages = ["src"]
[tool.ruff]
extend-include = ["*.ipynb"]
[tool.ruff.format]
quote-style = "single"