{ "info": { "author": "Gunther Cox", "author_email": "gunthercx@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Environment :: Web Environment", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Communications :: Chat", "Topic :: Internet", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "# ChatterBot Language Training Corpus\n\n[![Package Version](https://img.shields.io/pypi/v/chatterbot-corpus.svg)](https://pypi.python.org/pypi/chatterbot-corpus/)\n[![Build Status](https://travis-ci.org/gunthercox/chatterbot-corpus.svg?branch=master)](https://travis-ci.org/gunthercox/chatterbot-corpus)\n\nThese modules are used to quickly train ChatterBot to respond to various inputs in different languages.\nAlthough much of ChatterBot is designed to be language independent, it is still useful to have these\ntraining sets available to prime a fresh database and make the variety of responses that a bot can yield\nmuch more diverse.\n\nFor instructions on how to use these data sets, please refer to the [project documentation](http://chatterbot.readthedocs.io/en/latest/training.html#training-with-corpus-data).\n\nAll training data contained within this corpus is user contributed.\n\nIf you are interested in contributing support for a new language please create a pull request. Additions are welcomed!\n\n# Create your own Corpus Training data\n\nChatterbot is a very flexible and dynamic chatbot that you easily can create your own training data and structure.\n\nCreate or copy an existing .yml file and put that file in a existing or a new directory you created under `chatterbot_corpus\\data\\`\nEdit that file with any text editor that you like to work with.\n\nIn the beginning of the file you set one or two categories.\n```\ncategories:\n- myown\n- my own categories\n````\n\nThen can you start your actual training conversation data.\n\n```\nconversations:\n- - Hello\n - Hello\n- - Hi\n - Hello\n```\n\n# Install your training corpus data to Django\nYou need to install chatterbot as the [Quick Start Guide](http://chatterbot.readthedocs.io/en/stable/quickstart.html).\nWhen the installation are done, please go to `(Virtual Env)/lib/pythonX.X/site-packages/chatterbot_corpus/data/` directory.\nHere is the same structure as you can find in this GitHub repo, here is the area where you can create your own directories and conversation files.\n\nWhen you are done with your files, then can you edit the Django `setting.py` file and locate the chatterbot training section. \nHere do you need to add `chatterbot.corpus..`\n\n```\n 'training_data': [\n 'chatterbot.corpus.english.greeting',\n 'chatterbot.corpus.custom.myown',\n 'chatterbot.corpus.swedish.food'\n ]\n```\n\nWhen you are done, please proceed with the Django Chatterbot Training session. \n\n# Unit Testing\n\n\u201cA true professional does not waste the time and money of other people by handing over software that is not reasonably free of obvious bugs; that has not undergone minimal unit testing; that does not meet the specifications and requirements; that is gold-plated with unnecessary features; or that looks like junk.\u201d \u2013 Daniel Read\n\n```\npip install -r requirements.txt\nnosetests\n```\n", "description_content_type": "", "docs_url": null, "download_url": "https://github.com/gunthercox/chatterbot-corpus/tarball/1.2.0", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/gunthercox/chatterbot-corpus", "keywords": "chatterbot", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "landa-chatterbot-corpus", "package_url": "https://pypi.org/project/landa-chatterbot-corpus/", "platform": "any", "project_url": "https://pypi.org/project/landa-chatterbot-corpus/", "project_urls": { "Download": "https://github.com/gunthercox/chatterbot-corpus/tarball/1.2.0", "Homepage": "https://github.com/gunthercox/chatterbot-corpus" }, "release_url": "https://pypi.org/project/landa-chatterbot-corpus/1.2.0/", "requires_dist": null, "requires_python": "", "summary": "A machine readable multilingual dialog corpus", "version": "1.2.0" }, "last_serial": 4628363, "releases": { "1.2.0": [ { "comment_text": "", "digests": { "md5": "57983003969fd2f8b6b6b549e72deaf9", "sha256": "dfb15184ab4dd4b52f35a3d42e9314e50f7fdf6a46e9208d1515d515a6b14b68" }, "downloads": -1, "filename": "landa-chatterbot-corpus-1.2.0.tar.gz", "has_sig": false, "md5_digest": "57983003969fd2f8b6b6b549e72deaf9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 124306, "upload_time": "2018-12-22T20:25:45", "url": "https://files.pythonhosted.org/packages/a8/16/fcd0c0cad84404b4984a29bc44bc002e8e388cc9baba634c1eb3a8b359fb/landa-chatterbot-corpus-1.2.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "57983003969fd2f8b6b6b549e72deaf9", "sha256": "dfb15184ab4dd4b52f35a3d42e9314e50f7fdf6a46e9208d1515d515a6b14b68" }, "downloads": -1, "filename": "landa-chatterbot-corpus-1.2.0.tar.gz", "has_sig": false, "md5_digest": "57983003969fd2f8b6b6b549e72deaf9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 124306, "upload_time": "2018-12-22T20:25:45", "url": "https://files.pythonhosted.org/packages/a8/16/fcd0c0cad84404b4984a29bc44bc002e8e388cc9baba634c1eb3a8b359fb/landa-chatterbot-corpus-1.2.0.tar.gz" } ] }