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Datasets:
Codatta
/
Crypto-Address-Annotation-10K

Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
cryptocurrency
blockchain
address-labeling
security
entity-recognition
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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metadata 
language:
  - en
license: openrail
tags:
  - cryptocurrency
  - blockchain
  - address-labeling
  - security
  - entity-recognition
pretty_name: Codatta Crypto Address Annotations
size_categories:
  - 1K<n<10K
task_categories:
  - token-classification

Codatta Crypto Address Annotations (Sample)

Dataset Summary

This repository contains a 10,000-row sample of the Codatta Crypto Address Annotations database. The full dataset comprises over 500 million labeled address pairs across multiple blockchains.

The data provides critical metadata such as entity names, categories (e.g., Exchanges, DeFi, Scam), and risk levels. It is curated through a unique hybrid approach, combining high-quality community contributions from the Codatta platform and collaborative data from the Microscope Protocol.

By bridging crowdsourced intelligence with standardized open protocols, this dataset aims to solve the problem of fragmented and siloed blockchain metadata.

Data Sources & Protocols

The high fidelity of this dataset is achieved through two primary sources:

  1. Codatta Platform: Data aggregated from Codatta's decentralized data intelligence network, verified by the contributor community.

  2. Microscope Protocol: We utilize the Microscope Protocol, an open-source initiative for collaboratively labeling crypto addresses.

Dataset Structure

Data Fields

  • chain (string): The blockchain network (e.g., bitcoin, ethereum).
  • address (string): The wallet or contract address.
  • name (string): Specific label name (e.g., "Binance Deposit Address").
  • entity (string): The entity owning the address (e.g., "Binance").
  • category (string): Functional classification (e.g., CEX, DeFi, Scam). See full list at Microscope Protocol Categories.
  • source (string): Origin of the label (ground_truth, external, heuristics, machine_learning).

Full Dataset Statistics

While this repository provides a 10k sample for testing and research, our complete database covers a massive scale of on-chain entities. Below is the distribution of our full 517.61 Million labeled pairs.

1. Distribution by Chain

Total labeled (chain, address) pairs: 517,609,906

Chain Address Count
Bitcoin 185,818,811
Polygon 129,251,435
Ethereum 107,420,551
BSC (BNB Chain) 61,043,196
Tron 22,055,631
Optimism 4,926,779
Arbitrum 3,488,054
Avalanche 3,369,625
Base 233,495
Others (Litecoin, Solana, etc.) < 2,000

2. Distribution by Category (Top Categories)

Category Address Count
Smart Contract 235,023,302
Exchange 187,716,225
Scam 24,261,860
Gambling 21,677,685
Ransom 17,991,759
DeFi User 16,825,002
Bridging User 11,516,923
DEX User 7,286,609
ERC20 Token 5,442,026
Mixer 5,186,762
Wallet 2,724,811
FIAT 2,145,036
Darknet 2,110,659
Sanctioned 1,101,861

(Table truncated for brevity; other categories include Lending User, Liquid Staking, NFT, etc.)

Access to Full Dataset

We are releasing this 10k sample publicly to foster research and demonstrate data quality.

If you are interested in accessing the full dataset (500M+ labels) for commercial use, advanced analytics, or security integration, please contact us.