ParlAI (pronounced “par-lay”) is a python framework for sharing, training and testing dialogue models, from open-domain chitchat to VQA (Visual Question Answering).
Its goal is to provide researchers:
70+ popular datasets available all in one place, with the same API, among them SQuAD, MS MARCO, QuAC, HotpotQA, QACNN & QADailyMail, CBT, BookTest, bAbI Dialogue tasks, Ubuntu Dialogue, PersonaChat, OpenSubtitles, Wizard of Wikipedia, VQA-COCO2014, VisDial and CLEVR. See the complete list here
a wide set of reference models -- from retrieval baselines to transformers.
a large zoo of pretrained models ready to use off-the-shelf
seamless integration of Amazon Mechanical Turk for data collection and human evaluation
integration with Facebook Messenger to connect agents with humans in a chat interface
a large range of helpers to create your own agents and train on several tasks with multitasking
multimodality, some tasks use text and images
Are you looking for alternatives to ParlAI? Please see our top picks. In this article, we provide the list of some ParlAI alternatives that will work on Windows and other platforms.
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Features:
Olympus was created at Carnegie Mellon University (CMU) during the late 2000's and benefits from ongoing improvements in functionality. Its main purpose is to help...
A flexible framework that can be used to create, train, and evaluate conversational AI.
PyDial is an open-source end-to-end statistical spoken dialogue system toolkit which provides implementations of statistical approaches for all dialogue system modules....
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Features:
A collection of modules, tools, and libraries designed to aid and support researchers and developers with the creation of virtual human conversational characters.
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