title: Spacy: Should I train the model on single sentence or I can pass two sentence combined?
body: <p>I have multiple sentences like the one below in my database: </p>
  
  <blockquote>
    <p>KP Snacks Ltd recalls certain date codes of 4 variants of McCoy’s
    multi bag crisps. KP Snacks Ltd has undertaken a precautionary recall
    of the products listed below as a very small number of these bags of
    crisps may contain small pieces of plastic.</p>
  </blockquote>
  
  <p>Should I first split the sentences or I can just the whole data (2 sentences) to the model?</p>
  
  <pre><code>TRAIN_DATA_1 = [
      ("KP Snacks Ltd recalls certain date codes of 4 variants of McCoy’s multi bag crisps. KP Snacks Ltd has undertaken a precautionary recall of the products listed below as a very small number of these bags of crisps may contain small pieces of plastic.", {"entities": []}),
      ("I like London and Berlin.", {"entities": []}),
  ]
  
  TRAIN_DATA_2 = [
      ("KP Snacks Ltd recalls certain date codes of 4 variants of McCoy’s multi bag crisps.", {"entities": []}),
  ("KP Snacks Ltd has undertaken a precautionary recall of the products listed below as a very small number of these bags of crisps may contain small pieces of plastic.", {"entities": []}),
      ("I like London and Berlin.", {"entities": []}),
  ]
  </code></pre>
  
  <p>In short, TRAIN_DATA_1 vs TRAIN_DATA_2 which is correct and why?</p>