README.md

---
license: cc-by-4.0
task_categories:
- text-classification
language:
- fil
tags:
- medical
- symptoms
- disease-classification
- healthcare
- filipino
size_categories:
- n<1K
---

# Symptom2Disease Filipino Dataset

## Dataset Description

This dataset contains symptom descriptions mapped to disease labels in Filipino language. It can be used for training models to classify diseases based on symptom descriptions in Filipino.

### Dataset Structure

Each example contains:
- `label`: The disease name (e.g., Typhoid, Impetigo, Dengue)
- `text`: A description of symptoms in natural Filipino language

### Supported Tasks

- **Text Classification**: Disease classification based on symptom descriptions
- **Healthcare NLP**: Filipino language health symptom understanding

### Language

- Filipino (fil)

### Data Statistics

**English Dataset:**
- Total examples: 4380
- Unique diseases: 6
- Diseases: Dengue, Diarrhea, Pneumonia, Influenza, Measles, Typhoid

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("notlath/dataset_eng_cleaned")

# Access the data
print(dataset['train'][0])
```

## Dataset Structure

The dataset is provided as a single training set. You may want to split it for your specific use case:

```python
from datasets import load_dataset

dataset = load_dataset("notlath/dataset_eng_cleaned")
dataset = dataset['train'].train_test_split(test_size=0.2, seed=42)

train_dataset = dataset['train']
test_dataset = dataset['test']
```

## Citation

If you use this dataset in your research, please cite:

```
[Add your citation information here]
```

## License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).