description.py

# Reference string parsing Markdown
rsp_title_md = '''
## Our Reference String Parsing tool parses a structured citation string, extracting information 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_title_md = '''
## Our Dataset Extraction tool extracts elements from the text that captures the key details of it.
'''

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...).

'''