jcblaise/dengue_filipino

---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- crowdsourced
language:
- tl
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
paperswithcode_id: dengue
pretty_name: Dengue Dataset in Filipino
dataset_info:
features:
- name: text
dtype: string
- name: absent
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: dengue
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: health
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: mosquito
dtype:
class_label:
names:
'0': '0'
'1': '1'
- name: sick
dtype:
class_label:
names:
'0': '0'
'1': '1'
splits:
- name: train
num_bytes: 428549
num_examples: 4015
- name: test
num_bytes: 57364
num_examples: 500
- name: validation
num_bytes: 54380
num_examples: 500
download_size: 156014
dataset_size: 540293
---

# Dataset Card for Dengue Dataset in Filipino

## 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)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [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

- **Homepage:** [Dengue Dataset in Filipino homepage](https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks)
- **Repository:** [Dengue Dataset in Filipino repository](https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks)
- **Paper:** [IEEE paper](https://ieeexplore.ieee.org/document/8459963)
- **Leaderboard:**
- **Point of Contact:** [Jan Christian Cruz](mailto:[e-mail])

### Dataset Summary

Benchmark dataset for low-resource multiclass classification, with 4,015 training, 500 testing, and 500 validation examples, each labeled as part of five classes. Each sample can be a part of multiple classes. Collected as tweets.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The dataset is primarily in Filipino, with the addition of some English words commonly used in Filipino vernacular.

## Dataset Structure

### Data Instances

Sample data:
```
{
"text": "Tapos ang dami pang lamok.",
"absent": "0",
"dengue": "0",
"health": "0",
"mosquito": "1",
"sick": "0"
}
```

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## 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

[Jan Christian Cruz](mailto:[e-mail])

### Licensing Information

[More Information Needed]

### Citation Information

@INPROCEEDINGS{8459963,
author={E. D. {Livelo} and C. {Cheng}},
booktitle={2018 IEEE International Conference on Agents (ICA)},
title={Intelligent Dengue Infoveillance Using Gated Recurrent Neural Learning and Cross-Label Frequencies},
year={2018},
volume={},
number={},
pages={2-7},
doi={10.1109/AGENTS.2018.8459963}}
}

### Contributions

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

原始信息汇总

数据集概述

数据集名称

• 名称: Dengue Dataset in Filipino
• 别名: 登革热数据集（菲律宾语）

数据集基本信息

• 语言: 菲律宾语（tl），包含部分常用英语词汇
• 许可证: 未知
• 多语言性: 单语种
• 大小: 1K<n<10K
• 来源: 原创数据集
• 任务类别: 文本分类
• 任务ID: 多类别分类

数据集特征

• 特征列表:
  • text: 文本，数据类型为字符串
  • absent: 分类标签，数据类型为类别标签，标签名称为0和1
  • dengue: 分类标签，数据类型为类别标签，标签名称为0和1
  • health: 分类标签，数据类型为类别标签，标签名称为0和1
  • mosquito: 分类标签，数据类型为类别标签，标签名称为0和1
  • sick: 分类标签，数据类型为类别标签，标签名称为0和1

数据集分割

• 训练集: 4015个样本，428549字节
• 测试集: 500个样本，57364字节
• 验证集: 500个样本，54380字节
• 总下载大小: 156014字节
• 数据集总大小: 540293字节

数据集创建

• 标注创建者: 众包和机器生成
• 语言创建者: 众包

引用信息

@INPROCEEDINGS{8459963, author={E. D. {Livelo} and C. {Cheng}}, booktitle={2018 IEEE International Conference on Agents (ICA)}, title={Intelligent Dengue Infoveillance Using Gated Recurrent Neural Learning and Cross-Label Frequencies}, year={2018}, volume={}, number={}, pages={2-7}, doi={10.1109/AGENTS.2018.8459963} }