Data Normalization

Data processing and normalization tasks evaluate structured output from messy prose and different structures. This capability is essential for catalogue and product pipelines where data needs to be extracted from unstructured text and formatted consistently. Models must understand the desired output format and extract relevant information accurately.

Duration

2m 19s

Input Tokens

736

Output Tokens

1103

Cost

$0.00

Context

Input

Return a list of all ingredients part of this recipe, ordered alphabetically

Expected output

{
  "ingredients": [
    "bacon",
    "bread",
    "cheese",
    "ketchup",
    "lettuce",
    "mayonnaise",
    "mince",
    "mustard",
    "oil",
    "onion",
    "pepper",
    "potatoes",
    "salt",
    "tomato"
  ]
}

Model output

{
  "ingredients": [
    "Bacon",
    "Beef mince",
    "Bread buns",
    "Cheese",
    "Ketchup",
    "Lettuce",
    "Mayonnaise",
    "Mustard",
    "Oil",
    "Onion",
    "Pepper",
    "Potatoes",
    "Salt",
    "Tomato",
    "Water"
  ]
}