Data Extraction

Pull structured data out of messy text — ingredients from a recipe, fields from a contract, attributes from a product description. The plumbing behind catalogue, intake, and processing pipelines.

Duration

Input Tokens

595

Output Tokens

168

Cost

$0.00

Context

Input

Read the form carefully and fill it in. You can only use one of the following words (Write them exactly as they are):['Jon Doe', 'Spaceship', 'Pineapple', 'Fourteen', 'Yellow', '42nd dimension', 'Barking', '18 horsepower', 'Sushi', 'Unicorn', 'Chair', 'Home renovation', 'Wi-Fi', '$3.50', 'Yelling', 'Saturn', 'Time travel', 'Bookcase', 'SEK 42,500', 'Lava lamp', 'Teleportation', 'Infinite sadness', 'Crayon', '36 months', '3.14159', 'Marshmallow', 'Rainbows', 'Software engineer', 'Green noise', 'Clockwise']

Expected output

{
  "placeholders": [
    "Jon Doe",
    "Home renovation",
    "SEK 42,500",
    "36 months",
    "Software engineer"
  ]
}

Model output

{
  "placeholders": [
    "Jon Doe",
    "Home renovation",
    "SEK 42,500",
    "36 months"
  ]
}