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SUBMIT YOUR IDEAMy solution attached.
Step 1: Used regex tool to tokenize description column to rows using expression <td>([A-Za-z0-9\-{}<>\.\s]*?)<\/td>
Step 2: This results in 29 rows, first one is blank so filtered out the blank row
Step 3: Then added record ID column and split dataset into 2 based on even/odd record ID since name/value is every other
Step 4: Joined together the 2 datasets using join multiple tool based on record position
Step 5: Used select tool to clean up the dataset and put in format consistent with the provided solution
Not the most dynamic solution but got the job done.
Regex to the rescue!