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Update README.md
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README.md
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# Dataset Card for Dataset Name
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<!-- Provide a quick summary of the dataset. -->
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The Amazon reviews polarity dataset is constructed by taking review score 1 and 2 as negative, and 4 and 5 as positive. Samples of score 3 is ignored. In the dataset, class 1 is the negative and class 2 is the positive. Each class has 1,800,000 training samples and 200,000 testing samples.
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Link on Kaggle:** https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sa-binary-negative-positive-csv/data
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- **DOI:** [@misc{xiang_zhang_yassir_acharki_2023,
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title={🛒 Amazon Reviews for Senti-Analysis Binary -N/P+},
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---
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# Dataset Card for Dataset Name
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The Amazon reviews polarity dataset is constructed by taking review score 1 and 2 as negative, and 4 and 5 as positive. Samples of score 3 is ignored. In the dataset, class 1 is the negative and class 2 is the positive. Each class has 1,800,000 training samples and 200,000 testing samples.
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### Dataset Sources [optional]
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- **Link on Kaggle:** https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sa-binary-negative-positive-csv/data
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- **DOI:** [@misc{xiang_zhang_yassir_acharki_2023,
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title={🛒 Amazon Reviews for Senti-Analysis Binary -N/P+},
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