refactor

multiconer2.py

@@ -193,13 +193,13 @@ class Multiconer2(datasets.GeneratorBasedBuilder):
                     "ner_macro_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
                             names=['O',
-                                   "B-Location", "I-Location"
+                                   "B-Location", "I-Location",
                                    "B-CreativeWork", "I-CreativeWork",
                                    "B-Group", "I-Group",
-                                   "B-Person",  "I-Person",
+                                   "B-Person", "I-Person",
                                    "B-Product", "I-Product",
                                    "B-Medical", "I-Medical",
-                                  ]
+                                   ]
                         )
                     ),
                 }
@@ -213,8 +213,8 @@ class Multiconer2(datasets.GeneratorBasedBuilder):
         """Returns SplitGenerators."""
 
         downloaded_files = dl_manager.download_and_extract({
-            "train":  f"{self.config.name}-train.conll",
-            "dev":  f"{self.config.name}-dev.conll",
+            "train": f"{self.config.name}-train.conll",
+            "dev": f"{self.config.name}-dev.conll",
         })
 
         return [
@@ -228,6 +228,7 @@ class Multiconer2(datasets.GeneratorBasedBuilder):
             guid = 0
             tokens = []
             ner_tags = []
+            ner_macro_tags = []
             for line in f:
                 if line.startswith("#") or line == "" or line == "\n":
                     if tokens:
@@ -239,16 +240,18 @@ class Multiconer2(datasets.GeneratorBasedBuilder):
                         guid += 1
                         tokens = []
                         ner_tags = []
+                        ner_macro_tags = []
                 else:
                     # conll2003 tokens are space separated
                     splits = line.split(" _ _ ")
                     tokens.append(splits[0])
                     ner_tags.append(splits[1].rstrip())
+                    ner_macro_tags.append(self.micro_to_macro_ner_mapping[splits[1].rstrip()])
             # last example
             if tokens:
                 yield guid, {
                     "id": str(guid),
                     "tokens": tokens,
                     "ner_tags": ner_tags,
-                    "ner_macro_tags": [self.micro_to_macro_ner_mapping[ner] for ner in ner_tags]
+                    "ner_macro_tags": ner_macro_tags,
                 }