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Update description.txt (#1)
Browse files- Update description.txt (244f27b74001ef702c4430066f9f2a377e6e88d9)
Co-authored-by: tc yang <tcyang@users.noreply.huggingface.co>
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description.txt
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TransDis系统,是一个基于Transformer语言模型的语义距离评分系统,用于自动评估中文(或其他语言)的多用途任务(AUT)中的独创性和灵活性。
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输入被试(id)+提示词+回答的数据,每行1个用途,用逗号隔开。您可以通过文本框直接输入数据,也可以上传用逗号隔开的CSV格式文件作为输入,
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CSV输入优先级高于文本框输入。
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您可以选择用于评分的模型,请注意sentence-transformers_paraphrase-multilingual-mpnet-base-v2和
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sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2可用于多语言,cyclone_simcse-chinese-roberta-wwm-ext仅适
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用于中文,sentence-transformers/all-mpnet-base-v2和sentence-transformers/all-MiniLM-L12-v2仅适用于英文。
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如发生错误,请试着简化你的数据——用更少的行试试。如果不行,则可能是输入格式错误,请尝试重新保存为逗号分隔的CSV,然后再上传CSV文件。
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如需更多帮助或报告其他bug,请联系ydd409@163.com。
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TranDis, a semantic distance scoring system based on transformer-based language models, can be a useful tool to
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automatically assess originality and flexibility for AUT in Chinese or other languages.
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Enter your participant (id) + prompt + response data, one per line, with a COMMA between each variable. You
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can either input data directly into the text box or upload a comma-separated CSV file as input. Please note that
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if both methods are used, the CSV input will take precedence over the text box input.
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You can choose the model to use for scoring. Please note that
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sentence-transformers_paraphrase-multilingual-mpnet-base-v2 and
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sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2 are applicable to multiple languages;
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cyclone_simcse-chinese-roberta-wwm-ext is only applicable to Chinese;
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sentence-transformers/all-mpnet-base-v2 and sentence-transformers/all-MiniLM-L12-v2 are only applicable to English.
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If an error occurred, try simplifying your data - does it work with fewer rows? If not, the input format may be
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wrong.
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For more help, or to report possible bugs in our system, contact ydd409@163.com
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