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@@ -100,7 +100,7 @@ pretty_name: NFT-70M_transactions
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  ## Dataset summary
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  The *NFT-70M_transactions* dataset is the largest and most up-to-date collection of Non-Fungible Tokens (NFT) transactions between 2021 and 2023 sourced from [OpenSea](https://opensea.io), the leading trading platform in the Web3 ecosystem.
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  With more than 70M transactions enriched with metadata, this dataset is conceived to support a wide range of tasks, ranging from sequential and transactional data processing/analysis to graph-based modeling of the complex relationships between traders.
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- Besides, the availability of textual descriptions and multimedia resources, further amplifies the modeling capabilities and usage opportunities of this dataset, making it a unique and compehrensive multimodal source of information for delving into the NFT landscape.
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  This dataset can serve as a benchmark for various innovative and impactful tasks within the crypto landscape, such as projecting NFT prices or detecting fraudolent and wash trading activities.
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  Furthermore, the multimodal nature of the dataset fosters the development of classification models, as well as textual and visual generative models.
 
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  ## Dataset summary
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  The *NFT-70M_transactions* dataset is the largest and most up-to-date collection of Non-Fungible Tokens (NFT) transactions between 2021 and 2023 sourced from [OpenSea](https://opensea.io), the leading trading platform in the Web3 ecosystem.
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  With more than 70M transactions enriched with metadata, this dataset is conceived to support a wide range of tasks, ranging from sequential and transactional data processing/analysis to graph-based modeling of the complex relationships between traders.
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+ Besides, the availability of textual and image contents further amplifies the modeling capabilities and usage opportunities of this dataset, making it a unique and comprehensive multimodal source of information for delving into the NFT landscape.
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  This dataset can serve as a benchmark for various innovative and impactful tasks within the crypto landscape, such as projecting NFT prices or detecting fraudolent and wash trading activities.
106
  Furthermore, the multimodal nature of the dataset fosters the development of classification models, as well as textual and visual generative models.