The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

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
Downloads last month
111

Models trained or fine-tuned on napsternxg/nyt_ingredients