1.3.0

Processing

• Various minor improvements to feature generation.

• Add PREPARED_INGREDIENT flag to IngredientAmount objects. This is used to indicate if the amount refers to the prepared ingredient (PREPARED_INGREDIENT=True) or the unpreprared ingredient (PREPARED_INGREDIENT=False).

• Add starting_index attribute to IngredientText objects, indicating the index of the token that starts the IngredientText.

• Improve detection of composite amounts in sentences.

• Add quantity_fractions keyword argument to parse_ingredient. When True, the quantity and quantity_max fields of IngredientAmount objects will be fractions.Fraction objects instead of floats. This allows fractions such as 1/3 to be represented exactly. The default behaviour is when quantity_fractions=False, where quantities are floats as previously. For example

  >>> parse_ingredient("1 1/3 cups flour").amount[0]
  IngredientAmount(
      quantity=1.333,
      quantity_max=1.333,
      unit=<Unit('cup')>, 
      text='1 1/3 cups', 
      ...
  )
  >>> parse_ingredient("1 1/3 cups flour", quantity_fractions=True).amount[0]
  IngredientAmount(
      quantity=Fraction(4, 3),
      quantity_max=Fraction(4, 3),
      unit=<Unit('cup')>,
      text='1 1/3 cups',
      ...
  )

Model

• Addition of new dataset: tastecooking. This is a relatively small dataset, but includes a number of unique abbreviations for units and sizes.