scaredmeow/shopee-reviews-tl-stars

---
license: mpl-2.0
task_categories:
- text-classification
language:
- tl
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: label
dtype:
class_label:
names:
'0': 1 star
'1': 2 star
'2': 3 stars
'3': 4 stars
'4': 5 stars
- name: text
dtype: string
tags:
- reviews
- shopee
---

# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:** [Enhancement to Low Resource Text Classification via Sequential Transfer Learning](#)
- **Leaderboard:**
- **Point of Contact:** [Neil Riego](mailto:[e-mail])

### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Tagalog (TL)

## Dataset Structure

### Data Instances

A typical data point, comprises of a text and the corresponding label.

An example from the YelpReviewFull test set looks as follows:
```
{
'label': 2,
'text': 'Madaling masira yung sa may sinisintasan nya. Wala rin syang box. Sana mas ginawa pa na matibay para sana sulit yung pagkakabili'
}
```

### Data Fields

- 'text': The review texts are escaped using double quotes ("), and any internal double quote is escaped by 2 double quotes ("").
- 'label': Corresponds to the score associated with the review (between 1 and 5).

### Data Splits

The Shopee reviews tl 15 dataset is constructed by randomly taking 2100 training samples and 450 samples for testing and validation for each review star from 1 to 5.
In total there are 10500 trainig samples and 2250 each in validation and testing samples.

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]

原始信息汇总

数据集概述

数据集描述

• 语言: Tagalog (TL)
• 任务类别: 文本分类
• 数据集大小: 1K<n<10K
• 许可证: mpl-2.0

数据集结构

数据实例

• 字段:
  • label: 标签，表示评论的星级，范围从1星到5星。
  • text: 评论文本，使用双引号进行转义，内部的双引号使用两个双引号表示。

数据分割

• 训练集: 10500样本
• 验证集: 2250样本
• 测试集: 2250样本

数据字段详情

• label:
  • 类型: 类别标签
  • 名称:
    • 0: 1星
    • 1: 2星
    • 2: 3星
    • 3: 4星
    • 4: 5星
• text:
  • 类型: 字符串

标签详情

• 标签范围: 1星至5星
• 每个星级的标签值:
  • 1星: 0
  • 2星: 1
  • 3星: 2
  • 4星: 3
  • 5星: 4