Create README.md

README.md

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+---
+language:
+- id
+- en
+pretty_name: r
+task_categories:
+- text-classification
+tags:
+- product reviews
+- sentiment
+size_categories:
+- 10K<n<100K
+---
+## Dataset Summary
+This dataset contains 11,606 product reviews gathered from various indonesian brands and products in several e-commerce such as Shopee, Tokopedia, Lazada, Bukalapak, Blili, and Zalora.
+each row is marked as 1 for positive sentiment and 0 for negative sentiment. 
+
+This dataset has been transformed, selecting in a random way a subset of them, applying a cleaning process, and dividing them between the test and train subsets, keeping a balance between the number of positive and negative tweets within each of these subsets.
+## Languages
+The text in the dataset is in English and Indonesian. The 'review' column contains reviews in indonesian, and the 'translate' column contains reviews that has been translated to english
+## Data Fields
+In the final dataset, all files are in the JSON format with f columns:
+
+| Column Name   | Data                                                                                   |
+| :------------ | :--------------------------------------------------------------------------------------|
+| review        | A sentence (or review) in indonesian                                                   |
+| sentimen      | The sentiment label of sentence,  1 for positive sentiment and 0 for negative sentiment|
+| translate     | A sentence (or review) in english                                                      |