iqbalpurba26/health-topic-dataset

---
language:
- "id"
pretty_name: "Health Forum Question Dataset"
tags:
- text-classification
- topic-classification
license: "apache-2.0"
task_categories:
- text-classification
---

# 🩺 Health Topic Question Dataset (Multilingual)

**Indonesia 🇮🇩 | Health Question Classification**

This dataset contains health-related questions collected from Indonesian online health forums. It is available in **CSV format** and can be used for training models for health topic classification.

---

## 🔍 Dataset Overview

- **Languages**: Indonesian
- **Domain**: Health forum questions / informal health text
- **Format**: CSV (`.csv`)
- **Topics / Labels**:

| Label | Description |
|-------|------------|
| 0 | Allergy |
| 1 | Medication |
| 2 | Menstruation |

- **Source**: Indonesian online health forums
- **Collection Date**: Last sample collected in 2026

---

## 💾 CSV Structure

- **Columns**:
- `text`: Health-related question or text (string)
- `label`: Health topic label (integer, 0–2)

- **Example Row**:

```csv
text,label
"Kenapa tangan saya terasa panas setelah memasak?",0
```

## 📊 Intended Use Cases

- Training models for health topic classification
- Analyzing health questions on forums and social media
- Health content moderation systems
- Digital health assistants or chatbots
- Multilingual NLP pipelines for informal health text

---

## ⚠️ Limitations

- The dataset only supports the defined labels: `["Allergy", "Medication", "Menstruation"]`
- Not optimized for:
- Formal medical records
- Very short or ambiguous questions
- Highly code-mixed or complex language
- Dataset may contain biases from the source forums

---

## ⚖️ Ethical Considerations

- Data comes from public forums; consider user privacy
- Not intended to replace professional medical advice
- Human-in-the-loop is recommended for sensitive applications

---

## 💻 How to Load

To load the CSV dataset locally:

```python
from datasets import load_dataset

dataset = load_dataset("iqbalpurba26/health-topic-dataset")
print(dataset['train'][0])
```

## 📜 License

Released under the **Apache 2.0 License**.
Free for research and commercial use.

---

## 📚 Citation

```bibtex
@misc{iqbalpurba262026healthdataset,
author = {M. Iqbal Purba},
title = {Multilingual Health Topic Question Dataset},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/iqbalpurba26/health-topic-dataset}
}
```

---
语言：
- "印尼语（id）"
展示名称："健康论坛问题数据集"
标签：
- 文本分类
- 主题分类
许可证："Apache-2.0许可证"
任务类别：
- 文本分类
---

# 🩺 健康主题问答数据集（多语言版）

**印尼语 🇮🇩 | 健康问答分类**

本数据集收录自印尼语在线健康论坛的健康相关提问，以**CSV格式**存储，可用于训练健康主题分类模型。

---

## 🔍 数据集概览

- **语言**：印尼语
- **领域**：健康论坛问答 / 非正式健康文本
- **格式**：CSV（`.csv`）
- **主题/标签**：

| 标签编号 | 主题描述 |
|-------|------------|
| 0 | 过敏 |
| 1 | 用药 |
| 2 | 月经 |

- **数据来源**：印尼语在线健康论坛
- **采集时间**：最后一条样本采集于2026年

---

## 💾 CSV文件结构

- **字段说明**：
- `text`：健康相关提问或文本（字符串类型）
- `label`：健康主题标签（整数类型，取值范围0–2）

- **示例行**：

csv
text,label
"Kenapa tangan saya terasa panas setelah memasak?",0

## 📊 预期应用场景

- 训练健康主题分类模型
- 分析论坛与社交媒体上的健康提问
- 健康内容审核系统
- 数字健康助手或聊天机器人
- 面向非正式健康文本的多语言自然语言处理流水线

---

## ⚠️ 数据集局限性

- 本数据集仅支持预设标签：`["过敏", "用药", "月经"]`
- 未针对以下场景优化：
- 正式医疗记录
- 极短或歧义性提问
- 高度语码混合或复杂语言
- 数据集可能存在来源论坛带来的偏差

---

## ⚖️ 伦理考量

- 数据源自公开论坛，请考虑用户隐私问题
- 本数据集不可替代专业医疗建议
- 敏感应用场景建议采用人机协同流程

---

## 💻 数据集加载方法

本地加载CSV数据集的代码示例：

python
from datasets import load_dataset

dataset = load_dataset("iqbalpurba26/health-topic-dataset")
print(dataset['train'][0])

## 📜 许可证

本数据集采用 **Apache 2.0许可证** 发布，可免费用于研究与商业用途。

---

## 📚 引用格式

bibtex
@misc{iqbalpurba262026healthdataset,
author = {M. Iqbal Purba},
title = {Multilingual Health Topic Question Dataset},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/iqbalpurba26/health-topic-dataset}
}