metadata

annotations_creators:
  - expert-generated
language:
  - en
language_creators:
  - found
license:
  - apache-2.0
multilinguality:
  - monolingual
pretty_name: nyt_ingredients
size_categories:
  - 100K<n<1M
source_datasets: []
tags:
  - recipe
  - ingredients
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition

New York Times Ingredient Phrase Tagger Dataset

Original source: https://github.com/nytimes/ingredient-phrase-tagger

From the source:

We use a conditional random field model (CRF) to extract tags from labelled training data, which was tagged by human news assistants. We wrote about our approach on the New York Times Open blog. This repo contains scripts to extract the Quantity, Unit, Name, and Comments from unstructured ingredient phrases. We use it on Cooking to format incoming recipes. Given the following input:

1 pound carrots, young ones if possible
Kosher salt, to taste
2 tablespoons sherry vinegar
2 tablespoons honey
2 tablespoons extra-virgin olive oil
1 medium-size shallot, peeled and finely diced
1/2 teaspoon fresh thyme leaves, finely chopped
Black pepper, to taste