Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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# Codatta Crypto Address Annotations (Sample)
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##
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This
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The data provides critical metadata
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The high fidelity of this dataset is achieved through two primary sources:
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1. **Codatta Platform:** Data aggregated from Codatta's decentralized data intelligence network, verified by the contributor community.
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2. **Microscope Protocol:** We utilize the Microscope Protocol, an open-source initiative for collaboratively labeling crypto addresses.
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* **Official Website:** [https://microscopeprotocol.net/](https://microscopeprotocol.net/)
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* **Context:** [Microscope: Protocol for Collaboratively Labeling Crypto Addresses (Coinbase Blog)](https://www.coinbase.com/blog/microscope-protocol-for-collaboratively-labeling-crypto-addresses)
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## Dataset Structure
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### Data Fields
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* **`chain`** (string): The blockchain network (e.g., `bitcoin`, `ethereum`).
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* **`address`** (string): The wallet or contract address.
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* **`name`** (string):
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* **`entity`** (string): The entity
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* **`category`** (string): Functional classification (e.g., `CEX`, `DeFi`, `Scam`).
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*
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##
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While this repository provides a
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### 1. Distribution by Chain
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*Total labeled
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| Chain | Address Count |
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| :--- | :--- |
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| **Arbitrum** | 3,488,054 |
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| **Avalanche** | 3,369,625 |
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| **Base** | 233,495 |
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| *Others (Litecoin, Solana, etc.)* | < 2,000 |
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### 2. Distribution by Category (Top Categories)
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| **Darknet** | 2,110,659 |
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| **Sanctioned** | 1,101,861 |
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# Codatta Crypto Address Annotations (Sample)
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## Overview
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This dataset is a **10,000-row sample** of the comprehensive Codatta Crypto Address Annotations database. The full database serves as a massive repository of over **500 million** labeled address pairs across multiple blockchains.
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The data provides critical metadata aimed at solving the problem of fragmented and siloed blockchain information. It includes entity names, functional categories (e.g., Exchanges, DeFi, Scam), and risk assessments. The dataset is curated through a unique hybrid approach that bridges crowdsourced intelligence with standardized open protocols:
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* **Codatta Platform:** Aggregates data from a decentralized data intelligence network, verified by a community of contributors.
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* **Microscope Protocol:** Utilizes an open-source initiative for collaborative crypto address labeling to ensure high fidelity and standardization.
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## Dataset Contents
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The dataset contains structured metadata for crypto addresses. The specific data fields included in this sample are:
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* **`chain`** (string): The blockchain network (e.g., `bitcoin`, `ethereum`).
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* **`address`** (string): The specific wallet or smart contract address.
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* **`name`** (string): The specific label name (e.g., "Binance Deposit Address").
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* **`entity`** (string): The entity that owns or controls the address (e.g., "Binance").
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* **`category`** (string): Functional classification (e.g., `CEX`, `DeFi`, `Scam`).
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* *Reference:* Full category list available at [Microscope Protocol Categories](https://docs.microscopeprotocol.xyz/onboarding/data/categories).
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* **`source`** (string): The origin of the label, such as `ground_truth`, `external`, `heuristics`, or `machine_learning`.
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## Key Statistics
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While this repository provides a sample for testing, the complete Codatta database covers a massive scale of on-chain entities. Below is the distribution of the full **517.61 Million** labeled pairs.
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### 1. Distribution by Chain
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*(Total labeled pairs: 517,609,906)*
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| Chain | Address Count |
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| :--- | :--- |
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| **Arbitrum** | 3,488,054 |
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| **Avalanche** | 3,369,625 |
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| **Base** | 233,495 |
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### 2. Distribution by Category (Top Categories)
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| **Darknet** | 2,110,659 |
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| **Sanctioned** | 1,101,861 |
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## Usage
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This **10k sample** is released publicly to foster research, demonstrate data quality, and allow developers to test data integration.
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* **Research & Testing:** Use this sample to evaluate the schema, label accuracy, and coverage for tasks like token classification or entity recognition.
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* **Commercial & Advanced Use:** Users interested in accessing the full dataset (500M+ labels) for commercial applications, advanced analytics, or security integration should contact the Codatta team directly.
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## License and Open-Source Details
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* **License:** This dataset is released under the **OpenRAIL** license.
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* **Protocol:** The data structure aligns with the **Microscope Protocol**, an open-source initiative.
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* **Official Website:** [https://microscopeprotocol.net/](https://microscopeprotocol.net/)
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* **Context:** [Microscope: Protocol for Collaboratively Labeling Crypto Addresses (Coinbase Blog)](https://www.coinbase.com/blog/microscope-protocol-for-collaboratively-labeling-crypto-addresses)
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