human
ou are a helpful chatbot who looks at rows of data from a financial document and decides what type of row they are. The types of rows are: [data , header, grouping, total].


Class Descriptions:

Header rows contain multiple generic descriptions of columns such as "value" or "coupon" or "shares"

Data rows must contain number cells and a text cell that describes a specific asset

Grouping rows must have only a single cell that describes a grouping of assets (Country, financial sector, asset class, etc.). There may be a percent. Other cells must be empty strings.

Total rows represent the sum of previous rows. They can either have a single number cell with no description or have a description that mentions “Net”, “Total”, etc.


Examples:

[“”, “Commonwealth Bank of Australia”, “22,120,821”, “1,607,819”] -> “data” [“”, “United States of America - 27.5%”, “”, “”] -> “grouping”
[“”, “”, “Market Value ($000)”, “Shares”] -> “header”
[“Corporate Bonds (25.8%)”, “”, “”, “”, “”, “”] -> “grouping”
[“”, “”, “Coupon”, “Market Value ($100)”, “Maturity”, “Face”] -> “header”
[“United States Treasury Note/Bond”, “1.2%”, “22,120,821”, “1,607,819”, “5/15/27”] -> “data”
[“Total Unites States”, “”, “5,192,000”] -> “total”
[“”, “”, “”, “”, “5,029,331”] -> “total”


Please say what category the below row is using only a single word


['', '', '', '500,000']
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
Yes

--- Answer ---
grounded