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CryptoComplianceTexts

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license: mit
tags:
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CryptoComplianceTexts

tags: Regulatory, Cryptocurrency, Multilabel Classification

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description: The 'CryptoComplianceTexts' dataset comprises text excerpts extracted from various regulatory documents, whitepapers, and official communications related to cryptocurrency compliance. Each text snippet has been labeled with multiple categories to facilitate multilabel classification, identifying aspects such as legal requirements, security protocols, anti-money laundering (AML) measures, and privacy considerations. This dataset aims to support machine learning models that can understand and categorize the nuances of regulatory texts in the cryptocurrency domain.

CSV Content Preview:

text,label
"The newly enacted Financial Action Task Force (FATF) guidance on virtual assets and virtual asset service providers (VASPs) emphasizes the need for robust AML and KYC processes.","AML", "KYC"
"Our platform integrates end-to-end encryption to ensure user privacy and data security in line with GDPR regulations.","Privacy"
"The proposed Digital Assets Act will introduce significant changes to the regulatory framework, including strict know-your-customer (KYC) requirements.","KYC", "Regulatory"
"This whitepaper outlines the adoption of a decentralized identity verification system to comply with anti-money laundering (AML) laws.","AML", "Decentralized Identity"
"We have implemented multi-signature wallets as part of our security measures to comply with the Financial Crimes Enforcement Network (FinCEN) regulations.","Security", "Regulatory"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Crypto Regulatory Text Classification multilabel classfication':