---
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                                                      |