asjoie/elliptic-bitcoin-dataset

这是用于加密货币网络中非法交易检测的Elliptic比特币数据集。数据集包含带有标记为非法和合法交易的比特币交易数据。数据集结构包括三个CSV文件：1) elliptic_txs_features.csv：交易特征（每笔交易166个特征），其中94个局部特征（来自交易信息）和72个聚合特征（来自一跳邻居）；2) elliptic_txs_classes.csv：交易标签，1表示非法（如勒索软件、诈骗等），2表示合法（如交易所、服务等），unknown表示未标记交易；3) elliptic_txs_edgelist.csv：交易图边，表示交易之间比特币流动的有向边。数据集统计信息：总交易数203,769，标记非法交易约4,545笔，标记合法交易约42,019笔，未标记交易约157,205笔，时间步长49个（代表不同时期）。This is the Elliptic Bitcoin dataset used for illicit transaction detection in cryptocurrency networks. The dataset contains Bitcoin transaction data with labeled illicit and licit transactions. Dataset Structure: The dataset consists of three CSV files: 1) **elliptic_txs_features.csv**: Transaction features (166 features per transaction) - 94 local features (derived from transaction information) and 72 aggregated features (derived from one-hop neighbors); 2) **elliptic_txs_classes.csv**: Transaction labels - `1` = illicit (ransomware, scam, etc.), `2` = licit (exchanges, services, etc.), `unknown` = unlabeled transactions; 3) **elliptic_txs_edgelist.csv**: Transaction graph edges - Directed edges representing Bitcoin flows between transactions. Dataset Statistics: Total transactions: 203,769, Labeled illicit: ~4,545 transactions, Labeled licit: ~42,019 transactions, Unlabeled: ~157,205 transactions, Time steps: 49 (representing different time periods).