ignore test and train for now

cl-miracl.py

@@ -128,29 +128,29 @@ class CL_MIRACL(datasets.GeneratorBasedBuilder):
                     'filepaths': downloaded_files['dev'],
                 },
             ),
-            datasets.SplitGenerator(
-                name='testB',
-                gen_kwargs={
-                    'filepaths': downloaded_files['testB'],
-                },
-            ),
+            # datasets.SplitGenerator(
+            #     name='testB',
+            #     gen_kwargs={
+            #         'filepaths': downloaded_files['testB'],
+            #     },
+            # ),
 
         ]
-        if lang not in surprise_languages:
-            splits.append(datasets.SplitGenerator(
-                name='train',
-                gen_kwargs={
-                    'filepaths': downloaded_files['train'],
-                },
-            ))
-
-        if lang not in new_languages:
-            splits.append(datasets.SplitGenerator(
-                name='testA',
-                gen_kwargs={
-                    'filepaths': downloaded_files['testA'],
-                },
-            ))
+        # if lang not in surprise_languages:
+        #     splits.append(datasets.SplitGenerator(
+        #         name='train',
+        #         gen_kwargs={
+        #             'filepaths': downloaded_files['train'],
+        #         },
+        #     ))
+
+        # if lang not in new_languages:
+        #     splits.append(datasets.SplitGenerator(
+        #         name='testA',
+        #         gen_kwargs={
+        #             'filepaths': downloaded_files['testA'],
+        #         },
+        #     ))
         return splits
 
     def _generate_examples(self, filepaths):