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Witiko / docsim-sparse_scm-20news-1-False-True-True-400--1.0-2.json
Created November 1, 2019 14:54
{
"embeddings": [
{
"tensorName": "The soft VSM with regularized word embeddings on the 20NEWS dataset",
"tensorShape": [
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3
],
"tensorPath": "https://gist.githubusercontent.com/Witiko/0d1ca1b56ad11f20fabe1ba1132ffc75/raw/12c12fd736ba805502e8c2b7757c665805c3bee2/docsim-sparse_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"
@Witiko
Witiko / docsim-dense_scm-ohsumed-1-True-True-True-100--1.0-1-metadata.csv
Created November 1, 2019 14:57
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
C05
C04
C05
C10
C06
C04
C04
C05
C04
C04
@Witiko
Witiko / docsim-sparse_scm-ohsumed-1-True-True-True-100--1.0-1-vectors.csv
Created November 1, 2019 14:58
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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@Witiko
Witiko / docsim-sparse_scm-ohsumed-1-True-True-True-100--1.0-1.json
Created November 1, 2019 14:59
{
"embeddings": [
{
"tensorName": "The soft VSM with regularized word embeddings on the OHSUMED dataset",
"tensorShape": [
9152,
3
],
"tensorPath": "https://gist.githubusercontent.com/Witiko/d50bd95414f72dfc0b29f8f37f39f525/raw/62464b6cf365f364b5c76b1351bf4a2d219f400c/docsim-sparse_scm-ohsumed-1-True-True-True-100--1.0-1-vectors.csv",
"metadataPath": "https://gist.githubusercontent.com/Witiko/27d9cc62a05564567a8ccced03d0a758/raw/95abff00c8ee9b354209cb76e3a75c1afb2e5b8a/docsim-dense_scm-ohsumed-1-True-True-True-100--1.0-1-metadata.csv"
@Witiko
Witiko / docsim-dense_scm-ohsumed-1-True-True-True-100--1.0-1.json
Created November 1, 2019 14:59
{
"embeddings": [
{
"tensorName": "The soft VSM with non-regularized word embeddings on the OHSUMED dataset",
"tensorShape": [
9152,
3
],
"tensorPath": "https://gist.githubusercontent.com/Witiko/27d9cc62a05564567a8ccced03d0a758/raw/95abff00c8ee9b354209cb76e3a75c1afb2e5b8a/docsim-dense_scm-ohsumed-1-True-True-True-100--1.0-1-vectors.csv",
"metadataPath": "https://gist.githubusercontent.com/Witiko/27d9cc62a05564567a8ccced03d0a758/raw/95abff00c8ee9b354209cb76e3a75c1afb2e5b8a/docsim-dense_scm-ohsumed-1-True-True-True-100--1.0-1-metadata.csv"
@Witiko
Witiko / docsim-dense_scm-reuters-1-True-True-True-200--1.0-2-metadata.csv
Created November 1, 2019 15:02
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
Crude
Earn
Earn
Money-fx
Trade
Earn
Earn
Acq
Acq
Acq
@Witiko
Witiko / docsim-dense_scm-reuters-1-True-True-True-200--1.0-2-vectors.csv
Created November 1, 2019 15:02
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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@Witiko
Witiko / docsim-sparse_scm-reuters-1-True-True-True-200--1.0-2-vectors.csv
Created November 1, 2019 15:03
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
-1.7881473302841187 -21.638370513916016 -8.322571754455566
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@Witiko
Witiko / docsim-dense_scm-reuters-1-True-True-True-200--1.0-2.json
Created November 1, 2019 15:03
{
"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"
@Witiko
Witiko / docsim-sparse_scm-reuters-1-True-True-True-200--1.0-2
Created November 1, 2019 15:03
{
"embeddings": [
{
"tensorName": "The soft VSM with regularized word embeddings on the REUTERS dataset",
"tensorShape": [
7674,
3
],
"tensorPath": "https://gist.githubusercontent.com/Witiko/f071349d0aa864ef9d4ab32618d7a7a0/raw/79b3c0e0754cc98d287467b7490389164c5ed08c/docsim-sparse_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"