  We release a dataset of 65646 StarCraft replays that contains 1535 million
frames and 496 million player actions. We provide full game state data along
with the original replays that can be viewed in StarCraft. The game state data
was recorded every 3 frames which ensures suitability for a wide variety of
machine learning tasks such as strategy classification, inverse reinforcement
learning, imitation learning, forward modeling, partial information extraction,
and others. We use TorchCraft to extract and store the data, which standardizes
the data format for both reading from replays and reading directly from the
game. Furthermore, the data can be used on different operating systems and
platforms. The dataset contains valid, non-corrupted replays only and its
quality and diversity was ensured by a number of heuristics. We illustrate the
diversity of the data with various statistics and provide examples of tasks
that benefit from the dataset. We make the dataset available at
https://github.com/TorchCraft/StarData . En Taro Adun!
