Use this scratch org to train an Einstein Language Intent Model (using a subset of the ATIS dataset) and measure its classificaiton accuracy
A scratch org built on this repo will include:
- A subset of the ATIS dataset stored in a custom object. (See below)
- A pre-installed version of the Einstein Language Intent Classification Package
- A pre-installed version of the Einstein Model Builder Package
The ATIS dataset is a standard benchmark dataset widely used as an intent classification. ATIS Stands for Airline Travel Information System. Intent classification is an important component of Natural Language Understanding (NLU) systems in any chatbot platform
Thanks to Yun-Nung (Vivian) Chen for publishing the original dataset. The original dataset can be found at https://www.kaggle.com/hassanamin/atis-airlinetravelinformationsystem This dataset was released unger a GPL 2 License http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html