Update indian_names.py

indian_names.py

@@ -8,10 +8,10 @@ _URL = "https://github.com/Kriyansparsana/demorepo/blob/f4501f1de2c759ee215952b2
 
 
 class indian_namesConfig(datasets.BuilderConfig):
-    """BuilderConfig for Conll2003"""
+    """The WNUT 17 Emerging Entities Dataset."""
 
     def __init__(self, **kwargs):
-        """BuilderConfig forConll2003.
+        """BuilderConfig for WNUT 17.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
@@ -19,10 +19,12 @@ class indian_namesConfig(datasets.BuilderConfig):
 
 
 class indian_names(datasets.GeneratorBasedBuilder):
-    """Conll2003 dataset."""
+    """The WNUT 17 Emerging Entities Dataset."""
 
     BUILDER_CONFIGS = [
-        indian_namesConfig(name="indian_names", version=datasets.Version("1.0.0"), description="indian_names dataset"),
+        indian_namesConfig(
+            name="indian_names", version=datasets.Version("1.0.0"), description="The WNUT 17 Emerging Entities Dataset"
+        ),
     ]
 
     def _info(self):
@@ -35,8 +37,7 @@ class indian_names(datasets.GeneratorBasedBuilder):
                         datasets.features.ClassLabel(
                             names=[
                                 "B-PER",
-                                "B-ORG",
-                                
+                                "B-ORG"
                             ]
                         )
                     ),
@@ -48,7 +49,7 @@ class indian_names(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
         urls_to_download = {
-            "train": f"{_URL}"
+            "train": f"{_URL}",
         }
         downloaded_files = dl_manager.download_and_extract(urls_to_download)
 
@@ -56,32 +57,40 @@ 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:
-            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
-                        ner_tags = []
+            current_tokens = []
+            current_labels = []
+            sentence_counter = 0
+            for row in f:
+                row = row.rstrip()
+                if row:
+                    token, label = row.split("\t")
+                    current_tokens.append(token)
+                    current_labels.append(label)
                 else:
-                    # conll2003 tokens are space separated
-                    splits = line.split(" ")
-                    tokens.append(splits[0])
-                    ner_tags.append(splits[3].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 last sentence in dataset 🧐
+            if current_tokens:
+                yield sentence_counter, {
+                    "id": str(sentence_counter),
+                    "tokens": current_tokens,
+                    "ner_tags": current_labels,
+                }