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ParlAI (pronounced “par-lay”) is a framework for dialog AI research, implemented in Python.

Its goal is to provide researchers:

a unified framework for sharing, training and testing dialog models
many popular datasets available all in one place, with the ability to multi-task over them
seamless integration of Amazon Mechanical Turk for data collection and human evaluation
Over 20 tasks are currently supported, including popular datasets such as SQuAD, bAbI tasks, MS MARCO, MCTest, WikiQA, WebQuestions, SimpleQuestions, WikiMovies, QACNN & QADailyMail, CBT, BookTest, bAbI Dialog tasks, Ubuntu Dialog, OpenSubtitles, Cornell Movie, VQA-COCO2014, VisDial and CLEVR.