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Merge branch 'sign-language-processing:main' into main
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.github/workflows/lint.yaml

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- uses: actions/checkout@v3
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- uses: actions/setup-python@v4
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with:
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python-version: '3.10'
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python-version: '3.12'
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- name: Install Requirements
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run: pip install .[dev]

.github/workflows/test.yaml

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- uses: actions/checkout@v3
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- uses: actions/setup-python@v4
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with:
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python-version: '3.10'
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python-version: '3.12'
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- name: Install Requirements
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run: pip install .[dev]

README.md

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Given an isolated sign corpus such as AUTSL[^2], we repeat the evaluation of Ham2Pose[^1] on our metrics.
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We also repeat the experiments of Atwell et al.[^3] to evaluate the bias of our metrics on different protected attributes.
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### Continuous Sign Evaluation
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We evaluate each metric in the context of continuous signing with our continuous metrics alongside our segmented metrics
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2022. [Ham2Pose: Animating Sign Language Notation into Pose Sequences](https://arxiv.org/abs/2211.13613).
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[^2]: Ozge Mercanoglu Sincan and Hacer Yalim Keles.
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2020. [AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods](https://arxiv.org/abs/2008.00932).
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[^3]: Katherine Atwell, Danielle Bragg, and Malihe Alikhani.
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2024. [Studying and Mitigating Biases in Sign Language Understanding Models.](https://aclanthology.org/2024.emnlp-main.17/)
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In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 268–283, Miami, Florida, USA. Association for Computational Linguistics.

pyproject.toml

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"C0114", # Missing module docstring
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"C0115", # Missing class docstring
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"C0116", # Missing function or method docstring
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"W0511", # TODO
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]
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[tool.setuptools]

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