This is a corpus of dialog data that is included in the chatterbot module.
Additional information about the
chatterbot-corpus module can be found
in the ChatterBot Corpus Documentation.
Corpus language availability¶
Corpus data is user contributed, but it is also not difficult to create one if you are familiar with the language. This is because each corpus is just a sample of various input statements and their responses for the bot to train itself with.
To explore what languages and collections of corpora are available, check out the chatterbot_corpus/data directory in the separate chatterbot-corpus repository.
If you are interested in contributing content to the corpus, please feel free to submit a pull request on ChatterBot’s corpus GitHub page. Contributions are welcomed!
chatterbot-corpus is distributed in its own Python package so that it can
be released and upgraded independently from the
Exporting your chat bot’s database as a training corpus¶
Now that you have created your chat bot and sent it out into the world, perhaps you are looking for a way to share what it has learned with other chat bots? ChatterBot’s training module provides methods that allow you to export the content of your chat bot’s database as a training corpus that can be used to train other chat bots.
chatbot = ChatBot('Export Example Bot') chatbot.trainer.export_for_training('./export.yml')
Here is an example:
from chatterbot import ChatBot from chatterbot.trainers import ChatterBotCorpusTrainer ''' This is an example showing how to create an export file from an existing chat bot that can then be used to train other bots. ''' chatbot = ChatBot('Export Example Bot') # First, lets train our bot with some data trainer = ChatterBotCorpusTrainer(chatbot) trainer.train('chatterbot.corpus.english') # Now we can export the data to a file trainer.export_for_training('./my_export.json')