murinj commited on
Commit
f5f2008
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1 Parent(s): 649b3ae
Files changed (2) hide show
  1. README.md +3 -3
  2. hter.py +2 -2
README.md CHANGED
@@ -55,7 +55,7 @@ At minimum, this metric requires predictions and references as inputs.
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  >>> hter_metric = evaluate.load("murinj/hter")
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  >>> results = hter_metric.compute(references=[0, 0], predictions=[0, 1])
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  >>> print(results)
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- {'HTER': 0.5}
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  ```
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@@ -69,11 +69,11 @@ At minimum, this metric requires predictions and references as inputs.
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  ### Output Values
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- - **HTER**(`float` or `int`): HTER score. Minimum possible value is 0. Maximum possible value is 1.0, or the number of examples input.
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  Output Example(s):
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  ```python
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- {'HTER': 1.0}
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  ```
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  This metric outputs a dictionary, containing the HTER score.
 
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  >>> hter_metric = evaluate.load("murinj/hter")
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  >>> results = hter_metric.compute(references=[0, 0], predictions=[0, 1])
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  >>> print(results)
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+ {'HTER': 0.25}
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  ```
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  ### Output Values
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+ - **HTER**(`float` or `int`): HTER score. Minimum possible value is 0. Maximum possible value is 1.0.
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  Output Example(s):
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  ```python
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+ {'HTER': 0.0}
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  ```
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  This metric outputs a dictionary, containing the HTER score.
hter.py CHANGED
@@ -38,7 +38,7 @@ Args:
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  references (`list` of `int`): Ground truth labels.
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  Returns:
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- HTER (`float` or `int`): HTER score. Minimum possible value is 0. Maximum possible value is 1.0, or the number of examples input.
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  Examples:
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@@ -46,7 +46,7 @@ Examples:
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  >>> hter_metric = evaluate.load("murinj/hter")
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  >>> results = hter_metric.compute(references=[0, 0], predictions=[0, 1])
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  >>> print(results)
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- {'HTER': 0.5}
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  """
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  references (`list` of `int`): Ground truth labels.
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  Returns:
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+ HTER (`float` or `int`): HTER score. Minimum possible value is 0. Maximum possible value is 1.0.
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  Examples:
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  >>> hter_metric = evaluate.load("murinj/hter")
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  >>> results = hter_metric.compute(references=[0, 0], predictions=[0, 1])
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  >>> print(results)
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+ {'HTER': 0.25}
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  """
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