Created
November 1, 2019 15:03
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{ | |
"embeddings": [ | |
{ | |
"tensorName": "The soft VSM with non-regularized word embeddings on the REUTERS dataset", | |
"tensorShape": [ | |
7674, | |
3 | |
], | |
"tensorPath": "https://gist.githubusercontent.com/Witiko/01d2cba2b70394994e9676b767fb5b54/raw/77828cea827ef2e85ff1728e9f7a164a7f948994/docsim-dense_scm-reuters-1-True-True-True-200--1.0-2-vectors.csv", | |
"metadataPath": "https://gist.githubusercontent.com/Witiko/a8fe62af9538fd3e265b155f2f6c1c2e/raw/b7a24d91a30d1b63fc80c4ccb06d1929a10307ff/docsim-dense_scm-reuters-1-True-True-True-200--1.0-2-metadata.csv" | |
} | |
] | |
} |
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