Dataset Open Access

Hathi Trust Library Vectorized features

Benjamin M. Schmidt


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1424831", 
  "title": "Hathi Trust Library Vectorized features", 
  "issued": {
    "date-parts": [
      [
        2018, 
        9, 
        21
      ]
    ]
  }, 
  "abstract": "<p>A smaller-resolution (and therefore more portable) version of the Stable Random Projection Hathi Trust features described in my forthcoming article. The Northeastern repository is many individual files with 1280 random dimensions; this is just 640 random dimensions. The numbers are also experimentally encoded as half-precision floats, which cuts the file size by half at the cost of only being supported by my Python module. The net result is a file 1/4 the size of the full resolution ones for the paper that has, probably, something like 60-80% of the information content.</p>\n\n<p>The full file is &#39;<a href=\"https://www.zenodo.org/api/files/6d615dbd-65de-4391-93ac-91b302bb57e4/ht-640d-complete-half-precision.bin?versionId=0e9f5551-0888-454c-8bb8-0dd3f3d6d949\">ht-640d-complete-half-precision.bin</a>&#39;. You can also download 11 smaller files organized by language.</p>\n\n<p>Code to read these files is at&nbsp;https://github.com/bmschmidt/pySRP.&nbsp;</p>", 
  "author": [
    {
      "family": "Benjamin M. Schmidt"
    }
  ], 
  "version": "1.0", 
  "type": "dataset", 
  "id": "1424831"
}
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