docsim-dense_scm-twitter-1-False-True-True-800--1.0-2.json

{
  "embeddings": [
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      "tensorShape": [
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      "tensorPath": "https://gist.githubusercontent.com/Witiko/860f86ca52c89ee97714371ac2a91a62/raw/8df9801310d78223e67520fad47ba2cc7db0ac2d/docsim-dense_scm-twitter-1-False-True-True-800--1.0-2-vectors.csv",
      "metadataPath": "https://gist.githubusercontent.com/Witiko/860f86ca52c89ee97714371ac2a91a62/raw/8df9801310d78223e67520fad47ba2cc7db0ac2d/docsim-dense_scm-twitter-1-False-True-True-800--1.0-2-metadata.csv"
    }
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}

docsim-sparse_scm-twitter-1-False-True-True-800--1.0-2.json

{
  "embeddings": [
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      "tensorName": "The soft VSM with regularized word embeddings on the TWITTER dataset",
      "tensorShape": [
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      ],
      "tensorPath": "https://gist.githubusercontent.com/Witiko/860f86ca52c89ee97714371ac2a91a62/raw/8df9801310d78223e67520fad47ba2cc7db0ac2d/docsim-sparse_scm-twitter-1-False-True-True-800--1.0-2-vectors.csv",
      "metadataPath": "https://gist.githubusercontent.com/Witiko/860f86ca52c89ee97714371ac2a91a62/raw/8df9801310d78223e67520fad47ba2cc7db0ac2d/docsim-dense_scm-twitter-1-False-True-True-800--1.0-2-metadata.csv"
    }
  ]
}