Datasets:
Tasks:
Text Classification
Sub-tasks:
intent-classification
Languages:
English
Size:
10K<n<100K
License:
Commit
•
083b117
1
Parent(s):
8943dd1
Update loading script with local data file
Browse files- hate_speech18.py +10 -24
hate_speech18.py
CHANGED
@@ -47,7 +47,7 @@ forums posts have been sampled from several subforums and split into sentences.
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have been manually labelled as containing hate speech or not, according to certain annotation guidelines.
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"""
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_DATA_URL = "
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class HateSpeech18(datasets.GeneratorBasedBuilder):
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@@ -75,35 +75,21 @@ class HateSpeech18(datasets.GeneratorBasedBuilder):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, gen_kwargs={"
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),
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]
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def _generate_examples(self,
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with open(os.path.join(
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csv_reader = csv.reader(
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csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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)
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next(csv_reader)
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for idx, row in enumerate(csv_reader):
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all_files_path = os.path.join(filepath, "all_files")
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path = os.path.join(all_files_path, file_id + ".txt")
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with open(path, encoding="utf-8") as file:
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text = file.read()
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yield idx, {
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"text": text,
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"subforum_id": subforum_id,
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"num_contexts": num_contexts,
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"label": label,
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}
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have been manually labelled as containing hate speech or not, according to certain annotation guidelines.
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"""
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+
_DATA_URL = "data.zip"
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class HateSpeech18(datasets.GeneratorBasedBuilder):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, gen_kwargs={"data_dir": os.path.join(dl_dir, "data")}
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),
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]
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def _generate_examples(self, data_dir):
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all_files_path = os.path.join(data_dir, "all_files")
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with open(os.path.join(data_dir, "annotations_metadata.csv"), encoding="utf-8") as csv_file:
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csv_reader = csv.DictReader(
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csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
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)
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for idx, row in enumerate(csv_reader):
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text_path = os.path.join(all_files_path, row.pop("file_id") + ".txt")
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with open(text_path, encoding="utf-8") as text_file:
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text = text_file.read()
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yield idx, {
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"text": text,
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**row,
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}
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