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

1m 15s

Input Tokens

737

Output Tokens

185

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",
    "baking tray",
    "bread",
    "burger patty",
    "cheese",
    "cold water",
    "fries",
    "ketchup",
    "lettuce",
    "mayonnaise",
    "mustard",
    "oil",
    "onion",
    "paper towels",
    "pepper",
    "potatoes",
    "salt",
    "tomato"
  ]
}