Update indian_names.py

indian_names.py

@@ -6,21 +6,28 @@ _URL = "https://github.com/Kriyansparsana/demorepo"
 _TRAINING_FILE = "indian-name-org.csv"
 
 class indian_namesConfig(datasets.BuilderConfig):
+    """The WNUT 17 Emerging Entities Dataset."""
+
     def __init__(self, **kwargs):
-        super(indian_namesConfig, self).__init__(**kwargs)
+        """BuilderConfig for WNUT 17.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(WNUT_17Config, self).__init__(**kwargs)
+
+
+class indina_names(datasets.GeneratorBasedBuilder):
+    """The WNUT 17 Emerging Entities Dataset."""
 
-class indian_names(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         indian_namesConfig(
-            name="indian_names_dataset",
-            version=datasets.Version("1.0.0"),
-            description="Indian Names Dataset",
+            name="wnut_17", version=datasets.Version("1.0.0"), description="The WNUT 17 Emerging Entities Dataset"
         ),
     ]
 
     def _info(self):
         return datasets.DatasetInfo(
-            description="Indian Names dataset",
+            description=_DESCRIPTION,
             features=datasets.Features(
                 {
                     "id": datasets.Value("string"),
@@ -29,27 +36,28 @@ class indian_names(datasets.GeneratorBasedBuilder):
                         datasets.features.ClassLabel(
                             names=[
                                 "B-PER",
-                                "I-ORG",
+                                "B-ORG",
                             ]
                         )
                     ),
                 }
             ),
+            supervised_keys=None,
         )
 
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_URL}{_TRAINING_FILE}",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
-       def _split_generators(self, dl_manager):
-    urls_to_download = {
-        "train": f"{_URL}{_TRAINING_FILE}",
-    }
-    downloaded_files = dl_manager.download_and_extract(urls_to_download)
-
-    return [
-        datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-    ]
-
+        return [
+            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 = []
@@ -57,13 +65,15 @@ class indian_names(datasets.GeneratorBasedBuilder):
             for row in f:
                 row = row.rstrip()
                 if row:
-                    token, label = row.split(",")
+                    token, label = row.split("\t")
                     current_tokens.append(token)
                     current_labels.append(label)
                 else:
+                    # New sentence
                     if not current_tokens:
+                        # Consecutive empty lines will cause empty sentences
                         continue
-                    assert len(current_tokens) == len(current_labels), "Mismatch between tokens and labels"
+                    assert len(current_tokens) == len(current_labels), "💔 between len of tokens & labels"
                     sentence = (
                         sentence_counter,
                         {
@@ -76,6 +86,7 @@ class indian_names(datasets.GeneratorBasedBuilder):
                     current_tokens = []
                     current_labels = []
                     yield sentence
+            # Don't forget last sentence in dataset 🧐
             if current_tokens:
                 yield sentence_counter, {
                     "id": str(sentence_counter),