Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
hate-speech-detection
License:
Update files from the datasets library (from 1.6.1)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.6.1
- hate_offensive.py +2 -2
hate_offensive.py
CHANGED
@@ -41,7 +41,7 @@ _URLs = "https://github.com/t-davidson/hate-speech-and-offensive-language/raw/ma
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class HateOffensive(datasets.GeneratorBasedBuilder):
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"""Automated Hate Speech Detection and the Problem of Offensive Language
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VERSION = datasets.Version("1.1.0")
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@@ -70,7 +70,7 @@ class HateOffensive(datasets.GeneratorBasedBuilder):
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir)})]
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def _generate_examples(self, filepath):
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"""
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with open(filepath, encoding="utf-8") as csv_file:
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csv_reader = csv.reader(
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csv_file, lineterminator="\n", delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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class HateOffensive(datasets.GeneratorBasedBuilder):
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"""Automated Hate Speech Detection and the Problem of Offensive Language"""
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VERSION = datasets.Version("1.1.0")
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir)})]
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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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csv_reader = csv.reader(
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csv_file, lineterminator="\n", delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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