ingredient-phrase-tagger

For far to long ingredient parsers been unavailable to the public. Either due to obsene complexity: https://github.com/nytimes/ingredient-phrase-tagger Or because of the dreaded paywall: https://github.com/mtlynch/zestful-client Wait no longer, I introduce PyIng. An easy to use python package for changing this "2 ounces of spicy melon" into this {name: melon, unit: ounces, qty: 2.0}. https://github.com/whitew1994WW/PyIng

The code discussed in the post is here: https://github.com/NYTimes/ingredient-phrase-tagger

I also wrote a scraper for BBC Food, and implemented https://github.com/NYTimes/ingredient-phrase-tagger into it quite successfully, I guess I should push it up to Github.

In other recipe news, some devs @nytimes recently released some __VERY__ interesting code that handles unstructured data from the NYTIMES recipe archives: CRF Ingredient Phrase Tagger https://github.com/NYTimes/ingredient-phrase-tagger I used to work with a lot of recipe data in multiple languages, so this topic remains close to my heart. This could be an interesting project to add to the trained data.

Here's a direct link to GitHub: https://github.com/NYTimes/ingredient-phrase-tagger And here's a link to the dataset for anyone who'd like to peruse the raw data (~180K rows): https://putdat.com/hkdbmzK