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.

Duration

15s

Input Tokens

989

Output Tokens

278

Cost

$0.01

Context

Input

Analyze the following instructions and extract all appliances mentioned. We need to classify them into 3 categories: 'kitchen', 'bathroom', 'other'. These should be the most common location for the appliances

Expected output

{
  "kitchen": [
    "coffee maker",
    "microwave",
    "kettle"
  ],
  "bathroom": [
    "hair dryer"
  ],
  "other": [
    "vacuum cleaner"
  ]
}

Model output

{
  "kitchen": [
    "Microwave",
    "Kettle",
    "Coffee maker"
  ],
  "bathroom": [
    "Hair dryer"
  ],
  "other": [
    "Vacuum cleaner"
  ]
}