Skip to contents

Combined corpus quality report

entropia_corpus_quality.Rd

A compact long-form report over the corpus, one row per metric x group (group is an asset type for the per-type metrics and a collection name for metadata):

Usage

entropia_corpus_quality(con)

Arguments

con

A connection returned by entropia_connect().

Value

A tibble of class entropia_corpus_quality with columns metric, group, n, total and pct.

Details

  • ocr_coverage: n assets with a non-empty OCR extraction, total assets, per asset type.

  • transcription_presence: n assets with a transcription, total assets, per asset type.

  • metadata_coverage: n items with metadata, total items, per collection.

  • empty_text: n assets whose best text layer is empty/whitespace-only, total assets with at least one text layer, per asset type.

pct is n / total, NA when total is 0. The report is materialised (it is a small aggregate, like entropia_validate() findings) and carries the entropia_corpus_quality class.

Examples

con <- entropia_connect(system.file("extdata", "entropia-example.sqlite",
  package = "entropiaR"
))
entropia_corpus_quality(con)
#> # A tibble: 10 × 5
#>    metric                 group                 n total    pct
#>    <chr>                  <chr>             <int> <int>  <dbl>
#>  1 empty_text             audio                 0     1  0    
#>  2 empty_text             image                 0     0 NA    
#>  3 empty_text             pdf                   0     2  0    
#>  4 metadata_coverage      Archivo de prueba     2     3  0.667
#>  5 ocr_coverage           audio                 0     1  0    
#>  6 ocr_coverage           image                 0     1  0    
#>  7 ocr_coverage           pdf                   2     3  0.667
#>  8 transcription_presence audio                 1     1  1    
#>  9 transcription_presence image                 0     1  0    
#> 10 transcription_presence pdf                   0     3  0    
entropia_disconnect(con)