Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K<n<1M
License:
File size: 1,257 Bytes
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---
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](http://open.blogs.nytimes.com/2015/04/09/extracting-structured-data-from-recipes-using-conditional-random-fields/).
> 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
```
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