Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
hate-speech-detection
Languages:
English
Size:
100K - 1M
License:
SamAdamDay
commited on
Commit
•
2a16c9a
1
Parent(s):
e2317de
Update wiki_toxic.py
Browse files- wiki_toxic.py +7 -4
wiki_toxic.py
CHANGED
@@ -34,6 +34,8 @@ _HOMEPAGE = "https://www.kaggle.com/competitions/jigsaw-toxic-comment-classifica
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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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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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class WikiToxic(datasets.GeneratorBasedBuilder):
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@@ -70,12 +72,13 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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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": "train.csv",
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"split": "train",
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},
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),
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@@ -83,7 +86,7 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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-
"filepath": "validation.csv",
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"split": "validation",
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},
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),
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@@ -91,7 +94,7 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": "test.csv",
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"split": "test"
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},
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),
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@@ -99,7 +102,7 @@ class WikiToxic(datasets.GeneratorBasedBuilder):
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name="balanced_train",
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": "balanced_train.csv",
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"split": "balanced_train"
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},
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),
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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://huggingface.co/datasets/OxAISH-AL-LLM/wiki_toxic/resolve/main/"
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+
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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class WikiToxic(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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data_dir = dl_manager.download_and_extract(_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": os.path.join(data_dir, "train.csv"),
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"split": "train",
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},
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),
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "validation.csv"),
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"split": "validation",
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},
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),
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "test.csv"),
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"split": "test"
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},
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),
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name="balanced_train",
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, "balanced_train.csv"),
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"split": "balanced_train"
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},
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),
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