  Code-mixing is the phenomenon of using more than one language in a sentence.
It is a very frequently observed pattern of communication on social media
platforms. Flexibility to use multiple languages in one text message might help
to communicate efficiently with the target audience. But, it adds to the
challenge of processing and understanding natural language to a much larger
extent. This paper presents a parallel corpus of the 13,738 code-mixed
English-Hindi sentences and their corresponding translation in English. The
translations of sentences are done manually by the annotators. We are releasing
the parallel corpus to facilitate future research opportunities in code-mixed
machine translation. The annotated corpus is available at
https://doi.org/10.5281/zenodo.3605597.
