Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K<n<10K
License:
Update ner.py
Browse files
ner.py
CHANGED
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@@ -2,7 +2,10 @@ import datasets
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logger = datasets.logging.get_logger(__name__)
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_URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/
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class indian_namesConfig(datasets.BuilderConfig):
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"""The WNUT 17 Emerging Entities Dataset."""
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@@ -36,7 +39,7 @@ class indian_names(datasets.GeneratorBasedBuilder):
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"B-corporation",
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"I-corporation",
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"B-person",
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"I-person"
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]
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)
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),
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@@ -48,12 +51,16 @@ class indian_names(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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urls_to_download = {
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"train": f"{_URL}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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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 = datasets.logging.get_logger(__name__)
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_URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/"
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_TRAINING_FILE = "wnut17train%20(1).conll"
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_DEV_FILE = "indian_ner_dev.conll"
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_TEST_FILE = "indian_ner_test.conll"
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class indian_namesConfig(datasets.BuilderConfig):
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"""The WNUT 17 Emerging Entities Dataset."""
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"B-corporation",
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"I-corporation",
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"B-person",
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"I-person",
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]
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)
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),
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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urls_to_download = {
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"train": f"{_URL}{_TRAINING_FILE}",
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"dev": f"{_URL}{_DEV_FILE}",
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"test": f"{_URL}{_TEST_FILE}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
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]
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def _generate_examples(self, filepath):
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