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+ # Artifact Appendix
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+ Paper title: **An Analysis of Chinese Censorship Bias in LLMs**
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+ Artifacts HotCRP Id: **#2**
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+ Requested Badge: Either **Available**
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+ ## Description
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+ This artifact includes CensorshipDetector, a text-classification model designed to classify a given text as more or less similar to known sanitized content (i.e., those pieces of content which remain after being subjected to state censorship including alterations, deletions, and self-imposed censorship). It also includes a large-scale dataset of Baidu Baike articles which were used to fine-tune CensorshipDetector and a dataset of Chinese-language news articles used to evaluate CensorshipDetector
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+ ### Security/Privacy Issues and Ethical Concerns (All badges)
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+ None
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+ ## Environment
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+ In the following, describe how to access our artifact and all related and necessary data and software components.
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+ Afterward, describe how to set up everything and how to verify that everything is set up correctly.
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+ ### Accessibility (All badges)
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+ CensorshipDetector and associated datasets are available on [HuggingFace](https://huggingface.co/collections/mohamedah/an-analysis-of-chinese-censorship-bias-in-llms-683f0916ef3fb0fc657372d9).