Databases and Training

Sugaroid uses an sqlite3-type database for portability. All the responses are explicitly saved and trained on sugaroid. Sugaroid has two types of training: 1. Supervised training 2. Unsupervised training

Supervised training

Supervised training is a list of proper responses, most commonly collected from the Stanford Question Answering Dataset (Natural) (SQuAD 2.0 from Stanford NLP, attribution to Rajpurkar & Jia et al. ’18). Other reponses are manually trained from interactions during testing. All the responses are saved to ~/.config/sugaroid/sugaroid.db which is opened in read-only mode during production mode to prevent people from tampering with the dataset. At local testing, it is possible to teach sugaroid a sequel of responses and this will appended to the SQL database. Using Naive Bayers algorithm.

Unsupervised Training

Unsupervised training are a community collected dataset. The sources of data, are obviously from the community, on its hosted instance on Microsoft Azure, frontend on AWS. This data are also appended to the SQL database like Supervised Training but they are saved with lesser confidence ( 0.1 * confidence_from_statement ), as data from community needs to undergo refining.


Sugaroid’s backend module is sqlite3 against the conventional MySQL or MariaDB adapters. sqlite3 was chosen considering its portability alone. Despite higher IO operations on sqlite3, community data collection becomes easier because sqlite3 databases are more or less, a single file. Another problem it solves is the different ways in which the operating systems consider the file path to be. Using sqlite3 helps to keep consistency in case. (For Windows, mysql is case insensitive, but on GNU/Linux/UNIX its case sensitive). Using sqlite3 solves that problem.

Privacy policy

Sugaroid collects data from its users which are then used to train. This is done through cookies, on the first response you provide to sugaroid (on the web interface), on adding the bot to your discord channel (on the Discord adapter). However, your data is completely safe, and is not collected for training purposes if its (i) self hosted (ii) run as a desktop / command line app. All data on the desktop version is still appended to your respective configuration folders, which is, for example, on Linux, ~/.config/sugaroid/sugaroid.db and on Windows its C:\Users\foobar\AppData\Local\sugaroid\sugaroid.db.

Note: AppData folder is normally hidden on Windows, manually “Show all hidden folders” to see the AppData folder.

Investigating data from the database

There are certain cases when you would like to analyze the data stored in the database, or you would like to do some debugging. In all such cases, the path to the sugaroid.db is very much useful. All you need is an sqlite3 binary, which is available for all platforms.

Download sqlite3 from here

And then, start investigating by

$ sqlite3 ~/.config/sugaroid/sugaroid.db

This will open a prompt, where you can enter most commands;

Apart from the main database, sugaroid also stores data in * ~/.config/sugaroid/sugaroid.db * ~/.config/sugaroid/sugaroid.trainer.json * ~/.config/sugaroid/sugaroid_internal.db * ~/.config/sugaroid/data.json

Along with SQL, we have also used JSON type files for configuration alone.