Correcting input types

coord_eval.py

@@ -45,14 +45,11 @@ Returns:
     accuracy: 1 if coordinates predicted are d distant from gold ones, O otherwise.
 Examples:
     >>> my_new_module = evaluate.load("rfr2003/coord_eval")
-    >>> results = my_new_module.compute(references=["(12.7, 67.8)", "(16.7, 89.6)"], predictions=[[12.7, 67.8], [10.9, 80.6]], d=20)
+    >>> results = my_new_module.compute(generations=["(12.7, 67.8)", "(16.7, 89.6)"], golds=[[12.7, 67.8], [10.9, 80.6]], d=20)
     >>> print(results)
     {'coord_accuracy': 0.5}
 """
 
-# TODO: Define external resources urls if needed
-BAD_WORDS_URL = "http://url/to/external/resource/bad_words.txt"
-
 
 @evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
 class Coord_eval(evaluate.Metric):
@@ -69,13 +66,8 @@ class Coord_eval(evaluate.Metric):
             # This defines the format of each prediction and reference
             features=datasets.Features({
                 'generations': datasets.Value('string'),
-                'golds': datasets.Value('float32'),
+                'golds': datasets.Sequence(datasets.Value('float32')),
             }),
-            # Homepage of the module for documentation
-            homepage="http://module.homepage",
-            # Additional links to the codebase or references
-            codebase_urls=["http://github.com/path/to/codebase/of/new_module"],
-            reference_urls=["http://path.to.reference.url/new_module"]
         )
 
     def _download_and_prepare(self, dl_manager):

tests.py

@@ -1,13 +1,13 @@
 test_cases = [
     {
-        "predictions": ["(12.7, 67.8)", "(16.7, 89.6)"],
-        "references": [[12.7, 67.8], [10.9, 80.6]],
+        "generations": ["(12.7, 67.8)", "(16.7, 89.6)"],
+        "golds": [[12.7, 67.8], [10.9, 80.6]],
         "d": 20,
         "result": {"coord_accuracy": 0.5}
     },
     {
-        "predictions": ["(12.7, 67.8)", "(16.7, 89.6)"],
-        "references": [[12.7, 67.8], [10.9, 80.6]],
+        "generations": ["(12.7, 67.8)", "(16.7, 89.6)"],
+        "golds": [[12.7, 67.8], [10.9, 80.6]],
         "d": 1000000,
         "result": {"coord_accuracy": 1}
     },