| [build-system] |
| requires = ["setuptools>=64", "wheel"] |
| build-backend = "setuptools.build_meta" |
|
|
| [project] |
| name = "agri-awwer" |
| version = "0.1.0" |
| description = "Agriculture-Weighted Word Error Rate (AWWER) evaluation toolkit for domain-specific ASR assessment" |
| readme = "README.md" |
| license = "Apache-2.0" |
| requires-python = ">=3.8" |
| authors = [ |
| { name = "Digital Green", email = "tech@digitalgreen.org" }, |
| ] |
| keywords = ["asr", "speech-recognition", "agriculture", "evaluation", "wer", "metrics"] |
| classifiers = [ |
| "Development Status :: 4 - Beta", |
| "Intended Audience :: Science/Research", |
| "Programming Language :: Python :: 3", |
| "Programming Language :: Python :: 3.8", |
| "Programming Language :: Python :: 3.9", |
| "Programming Language :: Python :: 3.10", |
| "Programming Language :: Python :: 3.11", |
| "Programming Language :: Python :: 3.12", |
| "Topic :: Scientific/Engineering :: Artificial Intelligence", |
| ] |
|
|
| [project.optional-dependencies] |
| jiwer = ["jiwer>=3.0"] |
| dev = ["pytest>=7.0"] |
|
|
| [project.urls] |
| Homepage = "https://huggingface.co/DigiGreen/Agri_AWWER_Toolkit" |
| Paper = "https://huggingface.co/datasets/DigiGreen/Agri_STT_Benchmarking_Dataset" |
|
|
| [tool.setuptools.packages.find] |
| include = ["agri_awwer*"] |
|
|
