Update indian_names.py

indian_names.py

@@ -1,9 +1,7 @@
 import datasets
 
-
 logger = datasets.logging.get_logger(__name__)
 
-
 _URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/wnut17train%20(1).conll"
 
 class indian_namesConfig(datasets.BuilderConfig):
@@ -16,7 +14,6 @@ class indian_namesConfig(datasets.BuilderConfig):
         """
         super(indian_namesConfig, self).__init__(**kwargs)
 
-
 class indian_names(datasets.GeneratorBasedBuilder):
     """The WNUT 17 Emerging Entities Dataset."""
 
@@ -59,45 +56,45 @@ class indian_names(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
         ]
             
-   def _generate_examples(self, filepath):
-    logger.info("⏳ Generating examples from = %s", filepath)
-    with open(filepath, encoding="utf-8") as f:
-        current_tokens = []
-        current_labels = []
-        sentence_counter = 0
-        for row in f:
-            row = row.rstrip()
-            if row:
-                if "\t" in row:
-                    token, label = row.split("\t")
-                    current_tokens.append(token)
-                    current_labels.append(label)
+    def _generate_examples(self, filepath):
+        logger.info("⏳ Generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            current_tokens = []
+            current_labels = []
+            sentence_counter = 0
+            for row in f:
+                row = row.rstrip()
+                if row:
+                    if "\t" in row:
+                        token, label = row.split("\t")
+                        current_tokens.append(token)
+                        current_labels.append(label)
+                    else:
+                        # Handle cases where the delimiter is missing
+                        # You can choose to skip these rows or handle them differently
+                        logger.warning(f"Delimiter missing in row: {row}")
                 else:
-                    # Handle cases where the delimiter is missing
-                    # You can choose to skip these rows or handle them differently
-                    logger.warning(f"Delimiter missing in row: {row}")
-            else:
-                # New sentence
-                if not current_tokens:
-                    # Consecutive empty lines will cause empty sentences
-                    continue
-                assert len(current_tokens) == len(current_labels), "💔 between len of tokens & labels"
-                sentence = (
-                    sentence_counter,
-                    {
-                        "id": str(sentence_counter),
-                        "tokens": current_tokens,
-                        "ner_tags": current_labels,
-                    },
-                )
-                sentence_counter += 1
-                current_tokens = []
-                current_labels = []
-                yield sentence
-        # Don't forget the last sentence in the dataset 🧐
-        if current_tokens:
-            yield sentence_counter, {
-                "id": str(sentence_counter),
-                "tokens": current_tokens,
-                "ner_tags": current_labels,
-            }
+                    # New sentence
+                    if not current_tokens:
+                        # Consecutive empty lines will cause empty sentences
+                        continue
+                    assert len(current_tokens) == len(current_labels), "💔 between len of tokens & labels"
+                    sentence = (
+                        sentence_counter,
+                        {
+                            "id": str(sentence_counter),
+                            "tokens": current_tokens,
+                            "ner_tags": current_labels,
+                        },
+                    )
+                    sentence_counter += 1
+                    current_tokens = []
+                    current_labels = []
+                    yield sentence
+            # Don't forget the last sentence in the dataset 🧐
+            if current_tokens:
+                yield sentence_counter, {
+                    "id": str(sentence_counter),
+                    "tokens": current_tokens,
+                    "ner_tags": current_labels,
+                }