Fix parameter doc

pr_auc.py

@@ -18,7 +18,6 @@ import datasets
 from sklearn.metrics import precision_recall_curve, auc
 
 
-# TODO: Add BibTeX citation
 _CITATION = """\
 @InProceedings{huggingface:module,
 title = {A great new module},
@@ -27,7 +26,6 @@ year={2020}
 }
 """
 
-# TODO: Add description of the module here
 _DESCRIPTION = """\
 Computes the area under precision-recall curve. Implementation details taken from https://sinyi-chou.github.io/python-sklearn-precision-recall/
 """
@@ -37,31 +35,20 @@ Computes the area under precision-recall curve. Implementation details taken fro
 _KWARGS_DESCRIPTION = """
 Calculates how good are predictions given some references, using certain scores
 Args:
-    predictions: list of predictions to score. Each predictions
-        should be a string with tokens separated by spaces.
+    prediction_scores: Model predictions
     references: list of reference for each prediction. Each
         reference should be a string with tokens separated by spaces.
 Returns:
-    accuracy: description of the first score,
-    another_score: description of the second score,
+    pr_auc: area under the precision-recall curve,
 Examples:
-    Examples should be written in doctest format, and should illustrate how
-    to use the function.
-
-    >>> my_new_module = evaluate.load("my_new_module")
-    >>> results = my_new_module.compute(references=[0, 1], predictions=[0, 1])
-    >>> print(results)
-    {'accuracy': 1.0}
+    No examples
 """
 
-# TODO: Define external resources urls if needed
-BAD_WORDS_URL = "http://url/to/external/resource/bad_words.txt"
+BAD_WORDS_URL = ""
 
 
 @evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
 class PRAUC(evaluate.Metric):
-    """TODO: Short description of my evaluation module."""
-
     def _info(self):
         # TODO: Specifies the evaluate.EvaluationModuleInfo object
         return evaluate.MetricInfo(