Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Languages:
Arabic
Size:
100K - 1M
License:
Commit
·
a64a471
1
Parent(s):
44f6f93
Support streaming (#2)
Browse files- Update script to use data path (c6bb9b74a5060cb24dabe5b433ea0da00cedb661)
caner.py
CHANGED
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@@ -42,7 +42,7 @@ _HOMEPAGE = "https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recogni
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# TODO: Add the licence for the dataset here if you can find it
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_LICENSE = ""
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_URL = "https://
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class Caner(datasets.GeneratorBasedBuilder):
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@@ -95,23 +95,19 @@ class Caner(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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data_dir = dl_manager.download_and_extract(my_urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath":
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data_dir, "Classical-Arabic-Named-Entity-Recognition-Corpus-master/CANERCorpus.csv"
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),
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"split": "train",
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},
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)
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]
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def _generate_examples(self, filepath
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"""Yields examples."""
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with open(filepath, encoding="utf-8") as csv_file:
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# TODO: Add the licence for the dataset here if you can find it
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_LICENSE = ""
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_URL = "https://raw.githubusercontent.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus/master/CANERCorpus.csv"
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class Caner(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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data_path = dl_manager.download(_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": data_path,
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},
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)
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]
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def _generate_examples(self, filepath):
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"""Yields examples."""
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with open(filepath, encoding="utf-8") as csv_file:
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