ruanchaves/b2w-reviews01

---
annotations_creators:
- found
language:
- pt
language_creators:
- found
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: B2W-Reviews01
size_categories:
- 100M<n<1B
source_datasets:
- original
tags:
- reviews
task_categories:
- text-classification
task_ids:
- sentiment-analysis
- sentiment-scoring
- intent-classification
- topic-classification
---

# Dataset Card for Dataset Name

## Dataset Description

- **Repository:** https://github.com/americanas-tech/b2w-reviews01
- **Paper:** http://comissoes.sbc.org.br/ce-pln/stil2019/proceedings-stil-2019-Final-Publicacao.pdf
- **Point of Contact:** Livy Real

### Dataset Summary

B2W-Reviews01 is an open corpus of product reviews. It contains more than 130k e-commerce customer reviews, collected from the Americanas.com website between January and May, 2018. B2W-Reviews01 offers rich information about the reviewer profile, such as gender, age, and geographical location. The corpus also has two different review rates:

* the usual 5-point scale rate, represented by stars in most e-commerce websites,
* a "recommend to a friend" label, a "yes or no" question representing the willingness of the customer to recommend the product to someone else.

### Supported Tasks and Leaderboards

* Sentiment Analysis
* Topic Modeling

### Languages

* Portuguese

## Dataset Structure

### Data Instances

```
{'submission_date': '2018-01-02 06:23:22',
'reviewer_id': '6adc7901926fc1697d34181fbd88895976b4f3f31f0102d90217d248a1fad156',
'product_id': '123911277',
'product_name': 'Triciclo Gangorra Belfix Cabeça Cachorro Rosa',
'product_brand': 'belfix',
'site_category_lv1': 'Brinquedos',
'site_category_lv2': 'Mini Veículos',
'review_title': 'O produto não foi entregue',
'overall_rating': 1,
'recommend_to_a_friend': 'Yes',
'review_text': 'Incrível o descaso com o consumidor. O produto não chegou, apesar de já ter sido pago. Não recebo qualquer informação sobre onde se encontra o produto, ou qualquer compensação do vendedor. Não recomendo.',
'reviewer_birth_year': 1981,
'reviewer_gender': 'M',
'reviewer_state': 'RJ'}
```

### Data Fields

* **submission_date**: the date and time when the review was submitted. `"%Y-%m-%d %H:%M:%S"`.
* **reviewer_id**: a unique identifier for the reviewer.
* **product_id**: a unique identifier for the product being reviewed.
* **product_name**: the name of the product being reviewed.
* **product_brand**: the brand of the product being reviewed.
* **site_category_lv1**: the highest level category for the product on the site where the review is being submitted.
* **site_category_lv2**: the second level category for the product on the site where the review is being submitted.
* **review_title**: the title of the review.
* **overall_rating**: the overall star rating given by the reviewer on a scale of 1 to 5.
* **recommend_to_a_friend**: whether or not the reviewer would recommend the product to a friend (Yes/No).
* **review_text**: the full text of the review.
* **reviewer_birth_year**: the birth year of the reviewer.
* **reviewer_gender**: the gender of the reviewer (F/M).
* **reviewer_state**: the Brazilian state of the reviewer (e.g. RJ).

### Data Splits

| name |train|
|---------|----:|
|b2w-reviews01|132373|

### Citation Information

```
@inproceedings{real2019b2w,
title={B2W-reviews01: an open product reviews corpus},
author={Real, Livy and Oshiro, Marcio and Mafra, Alexandre},
booktitle={STIL-Symposium in Information and Human Language Technology},
year={2019}
}
```

### Contributions

Thanks to [@ruanchaves](https://github.com/ruanchaves) for adding this dataset.

原始信息汇总

数据集概述

基本信息

• 数据集名称: B2W-Reviews01
• 语言: 葡萄牙语
• 许可证: CC-BY-4.0
• 数据集大小: 100M<n<1B
• 数据来源: 原始数据
• 标签: 评论
• 任务类别: 文本分类
• 任务ID:
  • 情感分析
  • 情感评分
  • 意图分类
  • 主题分类

数据集描述

• 数据集摘要: B2W-Reviews01是一个包含超过130k电子商务客户评论的开源语料库，收集自2018年1月至5月的Americanas.com网站。该语料库提供了关于评论者档案的丰富信息，如性别、年龄和地理位置。此外，还包含两种不同的评论评分：
  • 通常的5点量表评分，以大多数电子商务网站上的星星表示。
  • “推荐给朋友”标签，一个“是或否”的问题，代表客户推荐产品的意愿。

数据集结构

• 数据实例: 示例数据包含提交日期、评论者ID、产品ID、产品名称、产品品牌、网站类别、评论标题、总体评分、推荐给朋友、评论文本、评论者出生年份、评论者性别和评论者所在州等信息。
• 数据字段:
  • submission_date: 提交评论的日期和时间。
  • reviewer_id: 评论者的唯一标识符。
  • product_id: 被评论产品的唯一标识符。
  • product_name: 被评论产品的名称。
  • product_brand: 被评论产品的品牌。
  • site_category_lv1: 产品在提交评论网站的最高级别类别。
  • site_category_lv2: 产品在提交评论网站的第二级别类别。
  • review_title: 评论的标题。
  • overall_rating: 评论者给出的总体星级评分，范围从1到5。
  • recommend_to_a_friend: 评论者是否推荐该产品给朋友（是/否）。
  • review_text: 评论的全文。
  • reviewer_birth_year: 评论者的出生年份。
  • reviewer_gender: 评论者的性别（F/M）。
  • reviewer_state: 评论者所在的巴西州。

数据分割

• 数据分割:

  名称	训练
  b2w-reviews01	132373

引用信息

@inproceedings{real2019b2w, title={B2W-reviews01: an open product reviews corpus}, author={Real, Livy and Oshiro, Marcio and Mafra, Alexandre}, booktitle={STIL-Symposium in Information and Human Language Technology}, year={2019} }

搜集汇总

背景与挑战

背景概述

B2W-Reviews01是一个包含超过13万条葡萄牙语产品评论的开放语料库，收集自2018年1月至5月的Americanas.com电商网站。该数据集提供了丰富的评论者人口统计信息（如性别、年龄和地理位置）以及两种评分方式（5星评分和是否推荐给朋友的二元标签），适用于情感分析、主题建模等自然语言处理任务。