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Input

  • output (str): The generated text
  • expectedOutput (str): The reference text

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Output

  • Result (float): A score between 0 and 1.

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Interpretation

  • Higher scores (closer to 1): Better unigram overlap with the reference (more content coverage)
  • Lower scores (closer to 0): Poor unigram overlap

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Formula

ROUGE-1=Count of overlapping unigramsTotal unigrams in reference\mathrm{ROUGE\text{-}1} = \frac{\text{Count of overlapping unigrams}}{\text{Total unigrams in reference}}
This is a Similarity Metric

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Use Cases

  • Evaluating automatic text summarization
  • Assessing machine translation quality
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