Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K<n<10K
License:
Update indian_names.py
Browse files- indian_names.py +6 -5
indian_names.py
CHANGED
@@ -5,6 +5,7 @@ logger = datasets.logging.get_logger(__name__)
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_URL = "https://github.com/Kriyansparsana/demorepo/blob/main/"
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_TRAINING_FILE = "indian-name-org.csv"
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class indian_namesConfig(datasets.BuilderConfig):
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"""The WNUT 17 Emerging Entities Dataset."""
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@@ -16,18 +17,18 @@ class indian_namesConfig(datasets.BuilderConfig):
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super(indian_namesConfig, self).__init__(**kwargs)
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-
class
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"""The WNUT 17 Emerging Entities Dataset."""
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BUILDER_CONFIGS = [
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indian_namesConfig(
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name="
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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-
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features=datasets.Features(
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{
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"id": datasets.Value("string"),
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@@ -36,7 +37,7 @@ class indina_names(datasets.GeneratorBasedBuilder):
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datasets.features.ClassLabel(
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names=[
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"B-PER",
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"B-ORG"
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]
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)
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),
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@@ -56,7 +57,7 @@ class indina_names(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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]
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-
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logger.info("⏳ Generating examples from = %s", filepath)
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with open(filepath, encoding="utf-8") as f:
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current_tokens = []
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_URL = "https://github.com/Kriyansparsana/demorepo/blob/main/"
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_TRAINING_FILE = "indian-name-org.csv"
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+
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class indian_namesConfig(datasets.BuilderConfig):
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"""The WNUT 17 Emerging Entities Dataset."""
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super(indian_namesConfig, self).__init__(**kwargs)
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class WNUT_17(datasets.GeneratorBasedBuilder):
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"""The WNUT 17 Emerging Entities Dataset."""
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BUILDER_CONFIGS = [
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indian_namesConfig(
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name="wnut_17", version=datasets.Version("1.0.0"), description="The WNUT 17 Emerging Entities Dataset"
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"id": datasets.Value("string"),
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datasets.features.ClassLabel(
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names=[
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"B-PER",
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"B-ORG"
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]
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)
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),
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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]
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def _generate_examples(self, filepath):
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logger.info("⏳ Generating examples from = %s", filepath)
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with open(filepath, encoding="utf-8") as f:
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current_tokens = []
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