license:unknown arxiv:2010.02573 region:us
---
license: unknown
---
---
annotations_creators:
- found
language_creators:
- found
language:
- vi
license:
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multilinguality:
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size_categories:
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source_datasets:
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task_categories:
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- text-classification
task_ids:
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- sentiment-classification
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paperswithcode_id: null
pretty_name: The Vietnamese Amazon Reviews Corpus
dataset_info:
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  features:
  - name: review_id
    dtype: string
  - name: product_id
    dtype: string
  - name: reviewer_id
    dtype: string
  - name: stars
    dtype: int32
  - name: review_body
    dtype: string
  - name: review_title
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  - name: language
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  - name: product_category
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    num_examples: 1200000
  - name: validation
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    num_examples: 30000
  - name: test
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    num_examples: 30000
  download_size: 640320386
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config_names:
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viewer: false
---

# Dataset Card for The Vietnamese Amazon Reviews Corpus

## Table of Contents
- [Dataset Card for The Vietnamese Amazon Reviews Corpus](#dataset-card-for-the-vietnamese-amazon-reviews-corpus)
  - [Table of Contents](#table-of-contents)
  - [Dataset Description](#dataset-description)
    - [Dataset Summary](#dataset-summary)
    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
    - [Languages](#languages)
  - [Dataset Structure](#dataset-structure)
    - [Data Instances](#data-instances)
      - [plain_text](#plain_text)
    - [Data Fields](#data-fields)
      - [plain_text](#plain_text-1)
    - [Data Splits](#data-splits)
  - [Dataset Creation](#dataset-creation)
    - [Curation Rationale](#curation-rationale)
    - [Source Data](#source-data)
      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
      - [Who are the source language producers?](#who-are-the-source-language-producers)
    - [Annotations](#annotations)
      - [Annotation process](#annotation-process)
      - [Who are the annotators?](#who-are-the-annotators)
    - [Personal and Sensitive Information](#personal-and-sensitive-information)
  - [Considerations for Using the Data](#considerations-for-using-the-data)
    - [Social Impact of Dataset](#social-impact-of-dataset)
    - [Discussion of Biases](#discussion-of-biases)
    - [Other Known Limitations](#other-known-limitations)
  - [Additional Information](#additional-information)
    - [Dataset Curators](#dataset-curators)
    - [Licensing Information](#licensing-information)
    - [Citation Information](#citation-information)
    - [Contributions](#contributions)

## Dataset Description

- **Webpage:** https://registry.opendata.aws/amazon-reviews-ml/
- **Paper:** https://arxiv.org/abs/2010.02573
- **Point of Contact:** [multilingual-reviews-dataset@amazon.com](mailto:multilingual-reviews-dataset@amazon.com)

### Dataset Summary

We provide an Amazon product reviews dataset for text classification in Vietnamese. The dataset contains reviews in Vietnamese, collected between November 1, 2015 and November 1, 2019. Each record in the dataset contains the review text, the review title, the star rating, an anonymized reviewer ID, an anonymized product ID and the coarse-grained product category (e.g. ‘books’, ‘appliances’, etc.) The corpus is balanced across stars, so each star rating constitutes 20% of the reviews.

For Vietnamese, there are 1,200,000, 30,000 and 30,000 reviews in the training, development, and test sets respectively. The maximum number of reviews per reviewer is 20 and the maximum number of reviews per product is 20. All reviews are truncated after 2,000 characters, and all reviews are at least 20 characters long.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The dataset contains reviews in Vietnamese.

## Dataset Structure

### Data Instances

Each data instance corresponds to a review. The original JSON for an instance looks like so (Vietnamese example):

```json
{
    "review_id": "vi_1234567",
    "product_id": "product_vi_1234567",
    "reviewer_id": "reviewer_vi_1234567",
    "stars": "5",
    "review_body": "Sản phẩm rất tốt, tôi rất hài lòng với chất lượng.",
    "review_title": "Rất hài lòng",
    "language": "vi",
    "product_category": "electronics"
}
