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---
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).
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