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Witiko
/ docsim-dense_scm-bbcsport-1-True-True-True-100--1.0-2.json
Created
November 1, 2019 14:26
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| { | |
| "embeddings": [ | |
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| "tensorName": "The soft VSM with non-regularized word embeddings on the BBCSPORT dataset", | |
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Witiko
/ docsim-sparse_scm-bbcsport-1-True-True-True-100--1.0-2-vectors.csv
Created
November 1, 2019 14:30
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| -6.042105197906494 0.056784726679325104 1.9964343309402466 | |
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| -6.678133487701416 6.447080612182617 1.683692455291748 |
Witiko
/ docsim-sparse_scm-bbcsport-1-True-True-True-100--1.0-2.json
Created
November 1, 2019 14:30
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| { | |
| "embeddings": [ | |
| { | |
| "tensorName": "The soft VSM with regularized word embeddings on the BBCSPORT dataset", | |
| "tensorShape": [ | |
| 737, | |
| 3 | |
| ], | |
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Witiko
/ docsim-dense_scm-20news-1-False-True-True-400--1.0-2-metadata.csv
Created
November 1, 2019 14:33
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| comp.sys.mac.hardware | |
| talk.politics.guns | |
| talk.religion.misc | |
| rec.sport.baseball | |
| comp.sys.ibm.pc.hardware | |
| comp.os.ms-windows.misc | |
| talk.politics.misc | |
| talk.politics.mideast | |
| comp.sys.mac.hardware | |
| sci.electronics |
Witiko
/ docsim-sparse_scm-20news-1-False-True-True-400--1.0-2-vectors.csv
Created
November 1, 2019 14:39
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| 25.758832931518555 -12.827503204345703 2.0738046169281006 | |
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| 18.870302200317383 9.250248908996582 5.36542272567749 |
Witiko
/ docsim-dense_scm-amazon-1-False-True-True-100--1.0-1-metadata.csv
Created
November 1, 2019 14:43
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| Electronics | |
| Electronics | |
| CDs and Vinyl | |
| Books | |
| Books | |
| Books | |
| CDs and Vinyl | |
| Home and Kitchen | |
| Electronics | |
| Electronics |
Witiko
/ docsim-sparse_scm-amazon-1-False-True-True-100--1.0-1-vectors.csv
Created
November 1, 2019 14:48
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| 14.763727188110352 -6.425334453582764 14.79475212097168 | |
| 2.9103310108184814 4.284109115600586 11.086734771728516 | |
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| -13.212491989135742 3.5963125228881836 10.37350082397461 | |
| -8.92398738861084 3.373044013977051 8.830453872680664 | |
| -11.391376495361328 1.298736572265625 -16.327795028686523 | |
| 7.700194358825684 -12.252012252807617 -3.431995153427124 | |
| 19.452924728393555 9.807990074157715 6.623404026031494 | |
| 19.44965362548828 -9.774394035339355 10.746170997619629 |
Witiko
/ docsim-sparse_scm-amazon-1-False-True-True-100--1.0-1.json
Created
November 1, 2019 14:49
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| { | |
| "embeddings": [ | |
| { | |
| "tensorName": "The soft VSM with regularized word embeddings on the AMAZON dataset", | |
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| 3 | |
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Witiko
/ docsim-dense_scm-amazon-1-False-True-True-100--1.0-1.json
Created
November 1, 2019 14:51
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| { | |
| "embeddings": [ | |
| { | |
| "tensorName": "The soft VSM with non-regularized word embeddings on the AMAZON dataset", | |
| "tensorShape": [ | |
| 8000, | |
| 3 | |
| ], | |
| "tensorPath": "https://gist.githubusercontent.com/Witiko/9343dec33ea3c3f6dac74b1a973b2131/raw/eb93f6b315139a4e17a67b6fbbf01b3e302f9ead/docsim-dense_scm-amazon-1-False-True-True-100--1.0-1-vectors.csv", | |
| "metadataPath": "https://gist.githubusercontent.com/Witiko/9343dec33ea3c3f6dac74b1a973b2131/raw/eb93f6b315139a4e17a67b6fbbf01b3e302f9ead/docsim-dense_scm-amazon-1-False-True-True-100--1.0-1-metadata.csv" |
Witiko
/ docsim-dense_scm-20news-1-False-True-True-400--1.0-2.json
Created
November 1, 2019 14:53
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| { | |
| "embeddings": [ | |
| { | |
| "tensorName": "The soft VSM with non-regularized word embeddings on the 20NEWS dataset", | |
| "tensorShape": [ | |
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| "tensorPath": "https://gist.githubusercontent.com/Witiko/3143cead53253d8376a7fbbc45a61f6c/raw/f1bc30840178e8fed8550c0fb7f59137958ca6c3/docsim-dense_scm-20news-1-False-True-True-400--1.0-2-vectors.csv", | |
| "metadataPath": "https://gist.githubusercontent.com/Witiko/3143cead53253d8376a7fbbc45a61f6c/raw/f1bc30840178e8fed8550c0fb7f59137958ca6c3/docsim-dense_scm-20news-1-False-True-True-400--1.0-2-metadata.csv" |