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README.md

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+The RBE_BengaliPattern dataset is a large-scale Roman Bengali-English code-mixed e-commerce dataset, derived from the Amazon English Sentiment dataset. With 18,086 text samples and a total of 1,303,474 words, the dataset provides a rich and diverse resource for analyzing code-mixing patterns in low-resource language contexts.
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+Here Roman Bengali words dominate the dataset, accounting for approximately 72.47% of all tokens (944,904 words), while English words comprise only 27.53% (358,570 words). This strong imbalance emphasizes the prominence of Romanized Bengali in user-generated content within the dataset.
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+The high volume of data also provides sufficient coverage to train robust machine learning models for downstream tasks like code-mixed language identification, sentiment classification, and token-level tagging.
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+In summary, the RBE_BengaliPattern dataset reflects a real-world linguistic trend of heavy Roman Bengali usage with embedded English, offering valuable insights for research in multilingual NLP, especially in low-resource and code-mixed language settings.