With the above motivation, we build a dataset containing code-mixed goal-oriented conversations for four Indian languages.
we take every utterance from the DSTC2 restaurant reservation dataset and ask a mix of in-house and crowdsourced workers to create a corresponding code-mixed utterance involving their native language and English.