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

Input Tokens

680

Output Tokens

424

Cost

$0.00

Context

Input

From the extracted description about an outfit. Extract info about the the bottom piece of clothing

Expected output

{
  "type": "chinos",
  "color": "beige",
  "size": "M"
}

Model output

{
  "size": "M",
  "type": "chinos (pants)",
  "color": "medium beige"
}