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.

100
Duration
8s
Input Tokens
515
Output Tokens
94
Cost
$0.00
Context
Input
From the extracted description about an outfit. Extract info about the the shoes
Expected output
{
  "type": "brogues",
  "color": "brown",
  "size": "M"
}
Model output
{
  "type": "brogues",
  "color": "brown",
  "size": "M"
}