adding validation data

shipping_label_ner.py

@@ -1,6 +1,9 @@
 
 import datasets
-
+# coding=utf-8
+# Copyright 2024 HuggingFace Datasets Authors.
+# Lint as: python3
+"""The Shipping label Dataset."""
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -8,28 +11,33 @@ logger = datasets.logging.get_logger(__name__)
 _CITATION = """
 """
 
-_DESCRIPTION = """"""
+_DESCRIPTION = """
+
+The goal of this task is to provide a dataset for name entity recognition."""
 
-_URL = "https://raw.githubusercontent.com/SanghaviHarshPankajkumar/shipping_label_project/main/"
+_URL = "https://raw.githubusercontent.com/SanghaviHarshPankajkumar/shipping_label_project/main/NER/data/"
 _TRAINING_FILE = "train.txt"
+_VAL_FILE = "val.txt"
 _TEST_FILE = "test.txt"
 
 
-class WNUT_17Config(datasets.BuilderConfig):
-    """The WNUT 17 Emerging Entities Dataset."""
+class shipping_labels_Config(datasets.BuilderConfig):
+    """Shipping Label Dataset for ner"""
 
     def __init__(self, **kwargs):
+        """BuilderConfig for Shipping Label data.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
         """
-        """
-        super(WNUT_17Config, self).__init__(**kwargs)
+        super(shipping_labels_Config, self).__init__(**kwargs)
 
 
-class WNUT_17(datasets.GeneratorBasedBuilder):
-    """The WNUT 17 Emerging Entities Dataset."""
+class shiping_label_ner(datasets.GeneratorBasedBuilder):
+    """Shipping Label Dataset for ner"""
 
     BUILDER_CONFIGS = [
-        WNUT_17Config(
-            name="wnut_17", version=datasets.Version("1.0.0"), description="The WNUT 17 Emerging Entities Dataset"
+        shipping_label_Config(
+            name="shipping_label_ner", version=datasets.Version("1.0.0"), description="Shipping Label Dataset for ner"
         ),
     ]
 
@@ -54,10 +62,6 @@ class WNUT_17(datasets.GeneratorBasedBuilder):
                                 "I-ORG",
                                 "B-LOCATION",
                                 "I-LOCATION",
-                                "B-PINCODE",
-                                "I-PINCODE",
-                                "B-COUNTRY",
-                                "I-COUNTRY",
                                 "B-NAME",
                                 "I-NAME",
                                 "B-BARCODE",
@@ -68,7 +72,6 @@ class WNUT_17(datasets.GeneratorBasedBuilder):
                 }
             ),
             supervised_keys=None,
-            # homepage="http://noisy-text.github.io/2017/emerging-rare-entities.html",
             citation=_CITATION,
         )
 
@@ -77,12 +80,14 @@ class WNUT_17(datasets.GeneratorBasedBuilder):
         urls_to_download = {
             "train": f"{_URL}{_TRAINING_FILE}",
             "test": f"{_URL}{_TEST_FILE}",
+            "val": f"{_URL}{_VAL_FILE}",
         }
         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.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}),
         ]
 
     def _generate_examples(self, filepath):