1555 lines
82 KiB
TypeScript
1555 lines
82 KiB
TypeScript
// This is a dump of a typical `queryResult.results` response from Aquarius
|
||
|
||
export const assets: AssetExtended[] = [
|
||
{
|
||
'@context': ['https://w3id.org/did/v1'],
|
||
chainId: 5,
|
||
credentials: {
|
||
allow: [],
|
||
deny: []
|
||
},
|
||
datatokens: [
|
||
{
|
||
address: '0x8f90ABA587aBE691E136D7d1a64762A2FF15bE4D',
|
||
name: 'DATASET_DT1',
|
||
serviceId: '2',
|
||
symbol: 'DATASET_DT1'
|
||
}
|
||
],
|
||
event: {
|
||
block: 7745556,
|
||
contract: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
|
||
datetime: '2022-10-10T14:31:24',
|
||
from: '0xe2DD09d719Da89e5a3D0F2549c7E24566e947260',
|
||
tx: '0x6a0d161cffc090fb18e5fc945290052c0d475e6e4115462da115a7bbcb6202b8'
|
||
},
|
||
id: 'did:op:48406caf76d092e08af6703dde5bbab79ed7528939d8bbe733134284faf39075',
|
||
metadata: {
|
||
author: 'Trent',
|
||
created: '2022-09-19T10:55:11Z',
|
||
description: 'Branin dataset',
|
||
license: 'CC0: PublicDomain',
|
||
name: 'Branin dataset',
|
||
type: 'dataset',
|
||
updated: '2022-09-19T10:55:11Z'
|
||
},
|
||
nft: {
|
||
address: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
|
||
created: '2022-10-10T14:31:24',
|
||
name: 'DATASET_DN1',
|
||
owner: '0xe2DD09d719Da89e5a3D0F2549c7E24566e947260',
|
||
state: 0,
|
||
symbol: 'DATASET_DN1',
|
||
tokenURI: 'https://oceanprotocol.com/nft/'
|
||
},
|
||
nftAddress: '0xE07B0a3403fAD9568cd970C04C3D08A9c1Ab93d0',
|
||
purgatory: {
|
||
state: false,
|
||
reason: ''
|
||
},
|
||
services: [
|
||
{
|
||
compute: {
|
||
allowNetworkAccess: true,
|
||
allowRawAlgorithm: false,
|
||
publisherTrustedAlgorithmPublishers: [],
|
||
publisherTrustedAlgorithms: []
|
||
},
|
||
datatokenAddress: '0x8f90ABA587aBE691E136D7d1a64762A2FF15bE4D',
|
||
description: 'Compute service',
|
||
files:
|
||
'0x0405a4c9efd6ed507c40387ffebe4093c901e003f1c6ec57c8a4d2b1c28382743bd2097dfc551ba8972992f9b45ea2046d7d53312d97f92dc7c49dec2769e4d8948f7a2b6df437c93229aa4dea7a636af1aec00dcfc8693040f645880e01a428f3ce7e267eaa49dbefce4de47adcab4abc92f062e0ea19ceff2664071710e42f293aaa96d4c0ff1cccb13cdbaa206a705344954ccf1967e58a3586b4953a1e616df86b565bc837fac2f5aa865617a108c737d9be14b19f98fa6204c8c06f284f52cdf4151b987cfa463350fd8f99019a610cd61fa7463b0e77ba93bd42239b999b86eef475a6c97e295a8e0332a843ad4be9254078d70d6c6e4a11f28bc7e61f5a44f9c68d2268b5b8e4f3908c57a41b0ab6ea78163e0b14076f59212a6b37b43811f20a3afc84c67acaa6d1075b06a6cba9f3d778badab3e97b7b21907ee718374819a68c5b8768fc70dd9194c8f309a48bea17178902532273',
|
||
id: '2',
|
||
name: 'Compute service',
|
||
serviceEndpoint: 'https://v4.provider.goerli.oceanprotocol.com',
|
||
timeout: 2592000,
|
||
type: 'compute'
|
||
}
|
||
],
|
||
stats: {
|
||
allocated: 0,
|
||
orders: 0
|
||
// price: {}
|
||
},
|
||
version: '4.1.0',
|
||
accessDetails: {
|
||
templateId: 1,
|
||
type: 'NOT_SUPPORTED'
|
||
} as any
|
||
},
|
||
{
|
||
'@context': ['https://w3id.org/did/v1'],
|
||
chainId: 137,
|
||
datatokens: [
|
||
{
|
||
address: '0xE5E5056A988EAE27f1624CF1212895f5B01D487b',
|
||
name: 'Limpid Ray Token',
|
||
serviceId:
|
||
'52ce21def42afaef2b51e90389355e13bd93e502147172b22051f16f74af163d',
|
||
symbol: 'LIMRAY-96'
|
||
}
|
||
],
|
||
event: {
|
||
block: 34021412,
|
||
contract: '0x866e4ED7b001f40c4067d0a37d6d401a0B13EfD6',
|
||
datetime: '2022-10-06T23:06:11',
|
||
from: '0x58754d9b3dbB4ddF5AC3502AcB963743b15e6398',
|
||
tx: '0x8af31b8dae91094f0d559fa13c51b7fcb278f9cb8525c2e7badabacf77989a7a'
|
||
},
|
||
id: 'did:op:dabbcf352e9d90d4e4f44a50440b0798a1a1d90e762ab2c7edba6ab4f2129deb',
|
||
metadata: {
|
||
additionalInformation: {
|
||
termsAndConditions: true
|
||
},
|
||
author: 'MG_DAO',
|
||
created: '2022-10-06T23:05:51Z',
|
||
description:
|
||
"General Info:\n-------------\nThis dataset curated by the MGH DAO contains key stats about the Sandbox, Decentraland and Axie LANDs NFTs.\n \n__After clicking download, open the .txt file and access all the datasets we have created so far. We update the dataset on a daily basis and store a snapshot of the dataset once per week.__\n \n \nThe data is taken from Etherscan and Opensea and fed to a machine learning algorithm that is trained using past price movements and is retrained on a regular basis to keep the accuracy of the price predictions high.\nThe core of the dataset are the aforementioned price predictions for each land that has enough trading history to compute a reasonable prediction.\n \nThe dataset contains two types of data:\n--------\n* Aggregated data retrieved from Opensea and Etherscan\n \n* Processed data from a machine learning algorithm\n \nThe aggregated data is divided into data for every token id and for the whole NFT collection. It includes variables such as tokenid, LAND coordinates, ask, bid, floor, average, max price, suggested operation, and\nkey volume stats.\n \nThe processed data contains two main variables: A predicted price and a price manipulation index for every token id\n \nEvery dataset is divided in two sheets: A Land Valuation and a Global Stats sheet\n \n \nThe dataset is provided by the MGH DAO and it will be continuously improved. If you have feedback or some suggestions on which data should be added, don't hesitate to write us an email to: info@thedac.info\n \nAbout MetaGameHub\n-----------------------\n \nThe MetaGameHub DAO focuses on the convergence of DeFi, Data and the Metaverse. The MGH DAO is a decentralized state within the open metaverse, where its community members collaboratively decide which LANDs to acquire, how to develop them and monetize them through, lending, renting, advertising and the creation of in-house play-to-earn experiences. MetaGameHub adds value to the metaverse ecosystem by providing valuation tools for virtual LANDs, SDKs (Software Development Kits) for metaverse development, oracle nodes for on-chain LAND pricing, and datasets portraying valuable virtual real estate pricing data. MGH wants to improve the infrastructure and transparency of the virtual real estate market while letting its users navigate through the metaverse in a seamless way.\n\n [Twitter](https://twitter.com/MGH_DAO) | [Telegram](https://t.me/metagamehub_dao) | [Website](https://www.metagamehub.io/) | [Discord](https://discord.gg/uG5XaP6ms3)",
|
||
license: 'https://market.oceanprotocol.com/terms',
|
||
links: [
|
||
'https://docs.google.com/spreadsheets/d/1KA7eaoTQshOTbPqnkoJ-ePvlw6z95zGI1iT7BtzX7nI/edit?usp=sharing'
|
||
],
|
||
name: 'The Metaverse LAND Dataset',
|
||
tags: [
|
||
'metaverse',
|
||
'ai',
|
||
'dao',
|
||
'the-sandbox',
|
||
'decentraland',
|
||
'axie',
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||
'virtual-real-estate',
|
||
'nft'
|
||
],
|
||
type: 'dataset',
|
||
updated: '2022-10-06T23:05:51Z'
|
||
},
|
||
nft: {
|
||
address: '0x866e4ED7b001f40c4067d0a37d6d401a0B13EfD6',
|
||
created: '2022-10-06T23:06:11',
|
||
name: 'Ocean Data NFT',
|
||
owner: '0x58754d9b3dbB4ddF5AC3502AcB963743b15e6398',
|
||
state: 0,
|
||
symbol: 'OCEAN-NFT',
|
||
tokenURI:
|
||
'data:application/json;base64,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'
|
||
},
|
||
nftAddress: '0x866e4ED7b001f40c4067d0a37d6d401a0B13EfD6',
|
||
purgatory: {
|
||
state: false,
|
||
reason: ''
|
||
},
|
||
services: [
|
||
{
|
||
datatokenAddress: '0xE5E5056A988EAE27f1624CF1212895f5B01D487b',
|
||
files:
|
||
'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',
|
||
id: '52ce21def42afaef2b51e90389355e13bd93e502147172b22051f16f74af163d',
|
||
serviceEndpoint: 'https://v4.provider.polygon.oceanprotocol.com',
|
||
timeout: 604800,
|
||
type: 'access'
|
||
}
|
||
],
|
||
stats: {
|
||
allocated: 45554.69921875,
|
||
orders: 1
|
||
// price: {
|
||
// tokenAddress: '0x282d8efCe846A88B159800bd4130ad77443Fa1A1',
|
||
// tokenSymbol: 'mOCEAN',
|
||
// value: 100
|
||
// }
|
||
},
|
||
version: '4.1.0',
|
||
accessDetails: {
|
||
templateId: 1,
|
||
publisherMarketOrderFee: '0',
|
||
type: 'fixed',
|
||
addressOrId:
|
||
'0x403f7f69caa8c0db7cd2f14d8f90b488ec7e70e83ff1c30d7bbdcd9d3605c529',
|
||
price: '100',
|
||
isPurchasable: true,
|
||
baseToken: {
|
||
address: '0x282d8efce846a88b159800bd4130ad77443fa1a1',
|
||
name: 'Ocean Token (PoS)',
|
||
symbol: 'mOCEAN',
|
||
decimals: 18
|
||
},
|
||
datatoken: {
|
||
address: '0xe5e5056a988eae27f1624cf1212895f5b01d487b',
|
||
name: 'Limpid Ray Token',
|
||
symbol: 'LIMRAY-96'
|
||
},
|
||
isOwned: false,
|
||
validOrderTx: null
|
||
}
|
||
},
|
||
{
|
||
'@context': ['https://w3id.org/did/v1'],
|
||
chainId: 5,
|
||
datatokens: [
|
||
{
|
||
address: '0x57201e593912f4abBB62fEaa4479598c3Ad0010B',
|
||
name: 'Delighted Anchovy Token',
|
||
serviceId:
|
||
'9325f8ff50ff3a46f757e7d819379b4d69fc73e4496880210c8fef8e587addbe',
|
||
symbol: 'DELANC-21'
|
||
}
|
||
],
|
||
event: {
|
||
block: 7724118,
|
||
contract: '0xca3cCFc6CEcf459200AADA1d4a51024F0EAAC230',
|
||
datetime: '2022-10-06T21:31:12',
|
||
from: '0x7E0ad0B2CD0560Caf9a4Fc25904d2AB7238d140b',
|
||
tx: '0x59b3cda87fe2c1c88ee1f253f2ebe2f089b7987791357247bb4af8f96200c119'
|
||
},
|
||
id: 'did:op:fcfaffeab039fd4406b4546dab57a0380d971f6a2746f588bbeafeb38fc406c9',
|
||
metadata: {
|
||
additionalInformation: {
|
||
termsAndConditions: true
|
||
},
|
||
author:
|
||
'Anna Padée, Pascal Missonnier, Anne Prévot, Grégoire Favre, Isabelle Gothuey, Marco Merlo, Jonas Richiardi',
|
||
created: '2022-10-06T21:31:05Z',
|
||
description:
|
||
'This is a schizophrenia in ultimatum game task study for Fribourg University. Participants were asked to play the UG in both roles, both as responder and proposer. 128 electrode EEG was recorded during the task. 19 patients with psychosis episodes and 24 healthy controls were recorded during the task.\n\nThis dataset was recorded at the Fribourg University in Switzerland. The project was approved by the Ethics Committee of the University of Fribourg (reference number: 054/13-CER-FR).\n\nParticipants sat in a shielded room, in a comfortable chair and played the game, while EEG was recorded.\n\nFor each role, participants performed three blocks, consisting of 30 repetitions each.',
|
||
license: 'https://market.oceanprotocol.com/terms',
|
||
name: 'Fribourg Ultimatum Game in Schizophrenia Study (EEG)',
|
||
tags: ['eeg', 'schizophrenia', 'psychosis'],
|
||
type: 'dataset',
|
||
updated: '2022-10-06T21:31:05Z'
|
||
},
|
||
nft: {
|
||
address: '0xca3cCFc6CEcf459200AADA1d4a51024F0EAAC230',
|
||
created: '2022-10-06T21:31:12',
|
||
name: 'Ocean Data NFT',
|
||
owner: '0x7E0ad0B2CD0560Caf9a4Fc25904d2AB7238d140b',
|
||
state: 0,
|
||
symbol: 'OCEAN-NFT',
|
||
tokenURI:
|
||
'data:application/json;base64,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'
|
||
},
|
||
nftAddress: '0xca3cCFc6CEcf459200AADA1d4a51024F0EAAC230',
|
||
purgatory: {
|
||
state: false,
|
||
reason: ''
|
||
},
|
||
services: [
|
||
{
|
||
datatokenAddress: '0x57201e593912f4abBB62fEaa4479598c3Ad0010B',
|
||
files:
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|
||
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|
||
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|
||
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|
||
price: '0',
|
||
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||
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|
||
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|
||
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|
||
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|
||
},
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
{
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
{
|
||
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|
||
name: 'ETH predictions: DT1',
|
||
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|
||
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|
||
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|
||
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|
||
event: {
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
created: '2022-10-04T17:42:13.745633',
|
||
description: 'ETH predictions',
|
||
license: 'CC0: PublicDomain',
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
||
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|
||
{
|
||
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|
||
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|
||
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|
||
{
|
||
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||
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|
||
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||
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||
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|
||
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|
||
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||
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|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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|
||
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||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
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|
||
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||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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|
||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
||
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||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
files:
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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author: 'Internet crawler',
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description:
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'Dataset contains personal info of USA citizen (around 157 criteria) such as: email, phone, name, address, geo location, household, real estate, salary, income, etc. Around 500k citizens. Dataset is helpful for financial, real estate companies who want to use it to train their AI/ML model. Or for marketing , sales purposes.',
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],
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name: '500k USA citizen dataset including PII, real estate info, salary, household, etc',
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'machine-learning',
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'real-estate',
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'finance',
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'usa-citizen',
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||
'pii'
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||
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type: 'dataset',
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updated: '2022-10-04T02:38:44Z'
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