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# Reference string parsing Markdown
rsp_title_md = '''
## Our Reference String Parsing tool extracts specific pieces of information from a structured citation string, such as the title, authors, and publication date.
'''
rsp_str_md = '''
To **test on strings**, simply input one or more strings.
'''
rsp_file_md = '''
To **test on a file**, the input can be:
- A txt file which contains a reference string in each line.
- A pdf file which contains a whole scientific documention without any preprocessing(including title, author, body text...).
'''
# - A pdf file which contains a whole scientific document without any processing (including title, author...).
ssum_str_md = '''
To **test on strings**, simply input a string.
'''
ssum_file_md = '''
To **test on a file**, the input can be:
- A txt file which contains the content to be summarized.
- A pdf file which contains a whole scientific documention without any preprocessing(including title, author, body text...).
'''
# - The **number of beams** should be **divisible** by the **number of generated summaries** for group beam search.
ctrlsum_str_md = '''
To **test on strings**, simply input a string.
**Note**:
- Length 0 will exert no control over length.
'''
ctrlsum_file_md = '''
This is the demo for **CocoSciSum**.
Our Controlled Summarization tool uses advanced language models to extract key insights from your content, and condense lengthy documents and PDFs into clear, information-rich summaries.
To **test on a file**, the input can be:
- A txt file which contains the content to be summarized.
- A pdf file which contains a whole scientific documention without any preprocessing(including title, author, body text...).
'''
de_str_md = '''
To **test on strings**, please input your sentences or paragraphs.
'''
de_file_md = '''
To **test on a file**, the input can be:
- A txt file which contains the content to be extracted dataset mentions from.
- A pdf file which contains a whole scientific documention without any preprocessing (including title, author, body text...).
'''
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