Update README.md

README.md

@@ -1,3 +1,46 @@
 ---
-license: apache-2.0
+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
+```