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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@@ -2,10 +2,7 @@ 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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_TRAINING_FILE = "Indian_dataset_wnut_train.conll"
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# _DEV_FILE = "indian_dataset.conll"
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_TEST_FILE = "emerging.test.annotated"
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class indian_namesConfig(datasets.BuilderConfig):
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"""The WNUT 17 Emerging Entities Dataset."""
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@@ -38,16 +35,8 @@ class indian_names(datasets.GeneratorBasedBuilder):
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"O",
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"B-corporation",
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"I-corporation",
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"B-creative-work",
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"I-creative-work",
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"B-group",
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"I-group",
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"B-location",
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"I-location",
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"B-person",
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"I-person"
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"B-product",
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"I-product",
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]
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)
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),
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@@ -59,16 +48,12 @@ 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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# "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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logger = datasets.logging.get_logger(__name__)
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_URL = "https://raw.githubusercontent.com/Kriyansparsana/demorepo/main/train.txt"
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class indian_namesConfig(datasets.BuilderConfig):
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"""The WNUT 17 Emerging Entities Dataset."""
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"O",
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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}",
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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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