Upload Multilingual-Opinion-Target-Extraction.py

Multilingual-Opinion-Target-Extraction.py

@@ -62,11 +62,31 @@ class MOTE(datasets.GeneratorBasedBuilder):
     """MOTE dataset."""
 
     BUILDER_CONFIGS = [
-        MOTEConfig(name="en", version=datasets.Version("1.0.0"), description="MOTEConfig English dataset"),
-        MOTEConfig(name="es", version=datasets.Version("1.0.0"), description="MOTEConfig Spanish dataset"),
-        MOTEConfig(name="fr", version=datasets.Version("1.0.0"), description="MOTEConfig French dataset"),
-        MOTEConfig(name="ru", version=datasets.Version("1.0.0"), description="MOTEConfig Russian dataset"),
-        MOTEConfig(name="tr", version=datasets.Version("1.0.0"), description="MOTEConfig Turkish dataset"),
+        MOTEConfig(
+            name="en",
+            version=datasets.Version("1.0.0"),
+            description="MOTEConfig English dataset",
+        ),
+        MOTEConfig(
+            name="es",
+            version=datasets.Version("1.0.0"),
+            description="MOTEConfig Spanish dataset",
+        ),
+        MOTEConfig(
+            name="fr",
+            version=datasets.Version("1.0.0"),
+            description="MOTEConfig French dataset",
+        ),
+        MOTEConfig(
+            name="ru",
+            version=datasets.Version("1.0.0"),
+            description="MOTEConfig Russian dataset",
+        ),
+        MOTEConfig(
+            name="tr",
+            version=datasets.Version("1.0.0"),
+            description="MOTEConfig Turkish dataset",
+        ),
     ]
 
     def _info(self):
@@ -108,8 +128,14 @@ class MOTE(datasets.GeneratorBasedBuilder):
         downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": downloaded_files["train"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": downloaded_files["test"]},
+            ),
         ]
 
     def _generate_examples(self, filepath):
@@ -119,6 +145,7 @@ class MOTE(datasets.GeneratorBasedBuilder):
             tokens = []
             ner_tags = []
             for line in f:
+                line = line.strip()
                 if line == "" or line == "\n":
                     if tokens:
                         yield guid, {
@@ -130,10 +157,9 @@ class MOTE(datasets.GeneratorBasedBuilder):
                         tokens = []
                         ner_tags = []
                 else:
-
                     splits = line.split()
-                    tokens.append(splits[0])
-                    ner_tags.append(splits[1].rstrip())
+                    tokens.append(splits[0].strip())
+                    ner_tags.append(splits[1].strip())
             # last example
             if tokens:
                 yield guid, {