Update description.txt (#1)

- Update description.txt (244f27b74001ef702c4430066f9f2a377e6e88d9)


Co-authored-by: tc yang <[email protected]>

description.txt

@@ -1,4 +1,30 @@
-Enter your participant (id) + prompt + response data, one per line, with a COMMA between each variable
-If an error occurred, try simplifying your data - does it work with fewer rows? If not, the input format may be wrong.
-Please note that Sbert_mpnet and Sbert_minilm are applicable to multiple languages, SimCSE is only applicable to Chinese.
-For more help, or to report possible bugs in our system, contact [email protected]
+  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。 
+  
+  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，
+CSV输入优先级高于文本框输入。
+  
+  您可以选择用于评分的模型，请注意sentence-transformers_paraphrase-multilingual-mpnet-base-v2和
+sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2可用于多语言，cyclone_simcse-chinese-roberta-wwm-ext仅适
+用于中文，sentence-transformers/all-mpnet-base-v2和sentence-transformers/all-MiniLM-L12-v2仅适用于英文。
+  
+  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。
+  
+  如需更多帮助或报告其他bug，请联系[email protected]。
+
+  TranDis, a semantic distance scoring system based on transformer-based language models, can be a useful tool to 
+automatically assess originality and flexibility for AUT in Chinese or other languages.  
+  
+  Enter your participant (id) + prompt + response data, one per line, with a COMMA between each variable. You 
+can either input data directly into the text box or upload a comma-separated CSV file as input. Please note that
+if both methods are used, the CSV input will take precedence over the text box input. 
+  
+  You can choose the model to use for scoring. Please note that 
+sentence-transformers_paraphrase-multilingual-mpnet-base-v2 and 
+sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2 are applicable to multiple languages;
+cyclone_simcse-chinese-roberta-wwm-ext is only applicable to Chinese; 
+sentence-transformers/all-mpnet-base-v2 and sentence-transformers/all-MiniLM-L12-v2 are only applicable to English.
+  
+  If an error occurred, try simplifying your data - does it work with fewer rows? If not, the input format may be 
+wrong.
+
+  For more help, or to report possible bugs in our system, contact [email protected]