Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
10K - 100K
License:
Update README.md
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# A Sentiment Analysis Dataset for the Algerian Dialect of Arabic
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This dataset consists of 50,016 samples of comments extracted from Algerian YouTube channels. It is manually annotated with 3 classes (the `label` column) and is not balanced. Here are the number of rows of each class:
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- 0 (Negative): **17,033 (34.06%)**
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- 1 (Neutral): **11,136 (22.26%)**
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- 2 (Positive): **21,847 (43.68%)**
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---
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license: mit
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task_categories:
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- text-classification
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language:
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- ar
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size_categories:
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- 10K<n<100K
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---
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# A Sentiment Analysis Dataset for the Algerian Dialect of Arabic
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This dataset consists of 50,016 samples of comments extracted from Algerian YouTube channels. It is manually annotated with 3 classes (the `label` column) and is not balanced. Here are the number of rows of each class:
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- 0 (Negative): **17,033 (34.06%)**
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- 1 (Neutral): **11,136 (22.26%)**
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- 2 (Positive): **21,847 (43.68%)**
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