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+ ---
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+ license: mit
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+ tags:
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+ - infinite-dataset-hub
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+ - synthetic
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+ ---
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+
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+ # BlockchainUtilityContracts
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+ tags: contracts, underground, machine learning
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+ _Note: This is an AI-generated dataset so its content may be inaccurate or false_
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+ **Dataset Description:**
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+ The 'BlockchainUtilityContracts' dataset comprises records from various utility contracts in the underground sector, where blockchain technology is integrated to enhance transparency, efficiency, and security. Each record includes details about the contract type, involved parties, blockchain platform used, contract terms, and labels indicating the contract's features related to blockchain technology. The labels are designed to help machine learning models easily identify patterns or categorizations within the data.
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+ **CSV Content Preview:**
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+ ```csv
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+ Contract_ID,Contract_Type,Contractor_Details,Blockchain_Platform,Contract_Duration,Contract_Value,Payment_Schedule,Contract_Features,Labels
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+ BCU1234,Service Agreement,Underground Construction Inc.,Ethereum,24 months,250000,Quarterly,Smart Contract,BlockchainIntegration,EfficiencyImprovement,SecurityEnhancement
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+ BCU1235,Maintenance Contract,Utility Pipes Co.,Hyperledger,12 months,120000,Monthly,Data Auditing,BlockchainIntegration,Smart Contract,DataTransparency
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+ BCU1236,Installation Contract,Deep Subway Constructors,EOS,18 months,300000,Bi-monthly,Tokenized Assets,BlockchainIntegration,TokenizedAssets,SecurityEnhancement
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+ BCU1237,Infrastructure Upgrade,City Waterworks Ltd.,TRON,36 months,600000,Quarterly,Distributed Ledger,BlockchainIntegration,DistributedLedger,TransparencyImprovement
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+ BCU1238,Resource Allocation,Subterranean Services,NEO,24 months,200000,Monthly,Automated Governance,BlockchainIntegration,AutomatedGovernance,EfficiencyImprovement
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+ ```
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+
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+ This CSV preview shows a plausible dataset with realistic contract details and blockchain-related labels. Each label helps to identify key aspects of how blockchain technology is applied within underground utility contracts, which can be beneficial for various machine learning tasks, such as classification, clustering, or predictive analysis.
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+
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+ **Source of the data:**
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+ The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'blockchain technology and Underground Utility Contractors':
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+ - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=blockchain+technology+and+Underground+Utility+Contractors&dataset=BlockchainUtilityContracts&tags=contracts,+underground,+machine+learning
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+ - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
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+ - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub