Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K - 100K
License:
Please update splitting in the "tweets_hate_speech_detection" dataset.
Browse filesThis dataset has not been splitted to train, validation and test sets like some other datasets such as "rotten_tomatoes" are splitted.
Please update the changes made by me to make the dataset splitted to train, validation and test dataset.
tweets_hate_speech_detection.py
CHANGED
@@ -38,7 +38,7 @@ year={2018}
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}
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"""
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-
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"https://raw.githubusercontent.com/sharmaroshan/Twitter-Sentiment-Analysis/master/train_tweet.csv"
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)
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@@ -61,12 +61,25 @@ class TweetsHateSpeechDetection(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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]
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def _generate_examples(self, filepath):
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"""Generate Tweet examples."""
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with open(filepath, encoding="utf-8") as csv_file:
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}
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"""
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+
TRAIN_DOWNLOAD_URL = (
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"https://raw.githubusercontent.com/sharmaroshan/Twitter-Sentiment-Analysis/master/train_tweet.csv"
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)
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)
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def _split_generators(self, dl_manager):
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+
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train_path = dl_manager.download_and_extract(TRAIN_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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gen_kwargs={"split_key": "train", "files": dl_manager.iter_TRAIN_DOWNLOAD_URL(TRAIN_DOWNLOAD_URL)},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={"split_key": "validation", "files": dl_manager.iter_TRAIN_DOWNLOAD_URL(TRAIN_DOWNLOAD_URL)},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={"split_key": "test", "files": dl_manager.iter_TRAIN_DOWNLOAD_URL(TRAIN_DOWNLOAD_URL)},
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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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"""Generate Tweet examples."""
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with open(filepath, encoding="utf-8") as csv_file:
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