bitcoin-data

Tag: coinjoin

2 datasets

Bitcoin transaction graphs: training, labelled entities, and CoinJoins

Address-transaction graphs for machine learning on Bitcoin: training graphs with CSV node features, edge features and heuristic clustering labels, plus per-transaction subgraphs with known entity labels and CoinJoin subgraphs as Parquet tables with JSON metadata. Built by the authors from blockchain data and address-clustering heuristics as companion data for a graph neural network clustering method. Useful for training and benchmarking address clustering; heuristic labels may wrongly merge distinct users.

Dumplings CoinJoin extraction scan

CoinJoin transactions of several wallet designs found by the Dumplings scanner, one text line per transaction with txid, block hash, block time, inputs and outputs, plus curated false positives, missed transactions and a JSON txid-to-coordinator map. Produced by the CRoCS group at Masaryk University by scanning a Bitcoin Core node with their Dumplings fork. Useful for studying CoinJoin volumes and usage; detection is heuristic, so false positives and misses occur.