Compare with PulseFoodInnovation

[wvengen]

In 2022 Data in Brief had an article about parsing ingredients, including the data of product ingredient lists from various countries. It contains barcodes, ingredient listings and parsed ingredients.

It would be useful to compare the two parsers of this project, and see how they compare to the dataset.

[wvengen]

The journal article Packaged foods with pulse ingredients in Europe: A dataset of text-mined product formulations references this dataset, and actually mentions this project. Their code is available at https://github.com/Pythrix/FOODCOP. It is a bit disappointing that the benchmark is confined to their parser only, not this one. Would be nice to compare the two parsers at some point.

It also mentions the project https://github.com/irockel/ingredients_parser, which is more oriented to image recognition, and has very basic text processing.