Update indian_names.py

indian_names.py

@@ -2,7 +2,7 @@ import datasets
 
 logger = datasets.logging.get_logger(__name__)
 
-_URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/indian_names"
+_URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/wnut17train%20(1).conll"
 
 class indian_namesConfig(datasets.BuilderConfig):
     """The WNUT 17 Emerging Entities Dataset."""
@@ -32,8 +32,11 @@ class indian_names(datasets.GeneratorBasedBuilder):
                     "ner_tags": datasets.Sequence(
                         datasets.features.ClassLabel(
                             names=[
-                                "B-PER",
-                                "B-ORG",
+                                "O",
+                                "B-corporation",
+                                "I-corporation",
+                                "B-person",
+                                "I-person"
                             ]
                         )
                     ),
@@ -52,33 +55,46 @@ class indian_names(datasets.GeneratorBasedBuilder):
         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:
-            guid = 0
-            tokens = []
-            ner_tags = []
-            for line in f:
-                if line.startswith("-DOCSTART-") or line == "" or line == "\n":
-                    if tokens:
-                        yield guid, {
-                            "id": str(guid),
-                            "tokens": tokens,
-                            "ner_tags": ner_tags,
-                        }
-                        guid += 1
-                        tokens = []
-                        ner_tags = []
+            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:
-                    # conll2003 tokens are space separated
-                    splits = line.split(" ")
-                    tokens.append(splits[0])
-                    ner_tags.append(splits[1].rstrip())
-            # last example
-            if tokens:
-                yield guid, {
-                    "id": str(guid),
-                    "tokens": tokens,
-                    "ner_tags": ner_tags,
+                    # 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,
                 }