Bitcoin blockchain optimized for machine learning prediction model

This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al.[1], in order to generate a machine learning model that predicts transaction inclusion. In each month of analysis, there is a block folder and a transaction folder. Information can be merged runtime through 'bhash' attribute (block hash). [1] https://doi.org/10.1145/3528669