Creating Structured Data

# Converting unstructured text to structured data

# Example: Convert product descriptions to structured data
text_to_table = """
Convert this list of product descriptions into a table.
Columns: Product Name | Price | Key Feature | Category.
If a field is missing, write 'Not specified'.

[PASTE UNSTRUCTURED TEXT]
"""

# Example: Convert text to JSON
text_to_json = """
Extract the following information from this text and return it as JSON.
Keys: name, date, location, attendees (as array), outcome.

[PASTE TEXT]
"""

# Example: Organize raw notes into a structured table
notes_to_table = """
Organize these raw meeting notes into a structured table.
Columns: Topic | Decision | Owner | Deadline.

Raw notes:
[PASTE NOTES]
"""

# Why this is useful:
# - Converts messy input into clean, usable data
# - Saves hours of manual data entry
# - Output can be imported into spreadsheets or databases
print("Structured data prompts turn messy text into organized information.")
print("Specify the exact columns, keys, and handling of missing data.")