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README.md
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---
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license: cc-by-4.0
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task_categories:
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- text-classification
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language:
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- fil
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tags:
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- medical
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- symptoms
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- disease-classification
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- healthcare
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- filipino
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size_categories:
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- n<1K
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---
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# Symptom2Disease Filipino Dataset
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## Dataset Description
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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.
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### Dataset Structure
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Each example contains:
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- `label`: The disease name (e.g., Typhoid, Impetigo, Dengue)
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- `text`: A description of symptoms in natural Filipino language
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### Supported Tasks
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- **Text Classification**: Disease classification based on symptom descriptions
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- **Healthcare NLP**: Filipino language health symptom understanding
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### Language
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- Filipino (fil)
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### Data Statistics
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**English Dataset:**
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- Total examples: 4380
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- Unique diseases: 6
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- Diseases: Dengue, Pneumonia, Diarrhea, Influenza, Typhoid, Measles
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## Usage
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("notlath/dataset_eng_cleaned")
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# Access the data
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print(dataset['train'][0])
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```
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## Dataset Structure
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The dataset is provided as a single training set. You may want to split it for your specific use case:
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```python
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from datasets import load_dataset
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dataset = load_dataset("notlath/dataset_eng_cleaned")
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dataset = dataset['train'].train_test_split(test_size=0.2, seed=42)
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train_dataset = dataset['train']
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test_dataset = dataset['test']
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```
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## Citation
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If you use this dataset in your research, please cite:
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```
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[Add your citation information here]
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```
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## License
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This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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