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Example Prompts

You can use natural language or structured lists in your workflow prompt.
For example:
  • Upload a CSV file with columns ["name", "email", "city"]
  • Upload a JSON file with fields {"student_id", "dob", "grade"}
  • Upload a file with ['employee_name', 'position', 'salary']
  • Upload a CSV with headers ["first_name", "last_name", "email", "phone_number"]
  • Upload a file where each record has { "product", "price", "category" }
  • Upload a JSON file using { "customer_name", "order_id", "amount" }
  • Upload a file with fields [ 'user_id', 'signup_date', 'referrer' ]
  • Upload a structured file with keys { "id", "name", "registered_on" }
  • Upload a file with format [ 'doctor_name', 'department', 'appointment_date' ]
NOTA parses your prompt and generates a matching synthetic dataset.

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CSV Input Format

To generate a CSV, include a list of column headers in your prompt.
For example: 
["Student ID", "Full Name", "Date of Birth", "Gender", "Grade Level", "Email"]
NOTA automatically maps these headers to suitable data generators, such as: 
["uuid4", "name", "date_of_birth", "random_gender", "random_grade", "email"]
Your output will be a CSV file with the columns you requested, each filled with relevant synthetic data.
Tip: You can provide column names in any format—brackets, quotes, or plain text.

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JSON Input Format

For JSON files, provide the list of field names in your prompt.
For example: 
{"Student ID", "Full Name", "Date of Birth", "Gender"}
NOTA will generate sample JSON records such as: 
{
  "Student ID": "7481023",
  "Full Name": "Alice Johnson",
  "Date of Birth": "1994-11-27",
  "Gender": "Female"
}

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No Structure? No Problem.

If you don’t specify a structure, NOTA will generate a file with default sample fields and data—just ask to “create and upload a test file” in your workflow prompt.

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How NOTA Interprets Your Fields

NOTA uses language understanding to match your field names to the most relevant generator, even if it isn’t an exact match.
For example:
  • mobile → phone number
  • dob → date of birth
  • zipcode → postal code
Just describe your data—NOTA handles the mapping.

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Summary Table

FormatInput ExampleOutput Example
CSVList of headersCSV with synthetic rows and columns
JSONList of field namesJSON records with realistic sample data
Need help? Describe your data in plain language, be specific and NOTA will take care of the rest.