  We present a program synthesis-oriented dataset consisting of human written
problem statements and solutions for these problems. The problem statements
were collected via crowdsourcing and the program solutions were extracted from
human-written solutions in programming competitions, accompanied by
input/output examples. We propose using this dataset for the program synthesis
tasks aimed for working with real user-generated data. As a baseline we present
few models, with the best model achieving 8.8% accuracy, showcasing both the
complexity of the dataset and large room for future research.
