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Philippine_Local_Fruits_Dataset
jomarie04/Philippine_Local_Fruits_Dataset
Philippine_Local_Fruits_Dataset is a machine learning model from jomarie04. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc0-1.0.
--- license: cc0-1.0 taskcategories: - text-classification - data-analysis language: - en - tl prettyname: Philippine Local Fruits Dataset sizecategories: - 1K<n<10K ---
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Updated Feb 2, 2026
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At a glance
- License
- cc0-1.0
- Access
- Public
- Created
- Feb 2, 2026
- Updated
- Feb 2, 2026
- SHA
- a841d642
Model card
From the Hugging Face model README
license: cc0-1.0 task_categories:
- text-classification
- data-analysis language:
- en
- tl pretty_name: Philippine Local Fruits Dataset size_categories:
- 1K<n<10K
🍍 Philippine Local Fruits Dataset
Dataset Description
This dataset contains information about common fruits found in the Philippines, including their local names, scientific names, seasonality, average price, and nutritional category.
The dataset is designed for educational use, machine learning projects, and data analysis applications.
📌 Dataset Details
File Format: CSV
File Name: ph_local_fruits.csv
Total Columns: 6
Columns
| Column Name | Description |
|---|---|
| fruit_name | Common English name of the fruit |
| local_name | Filipino or regional name |
| scientific_name | Scientific name of the fruit |
| season | Peak season in the Philippines |
| avg_price_php | Average market price (per kg) |
| category | Type of fruit (citrus, tropical, berry, etc.) |
📊 Sample Data
| fruit_name | local_name | scientific_name | season | avg_price_php | category |
|---|---|---|---|---|---|
| Mango | Mangga | Mangifera indica | Summer | 120 | Tropical |
| Banana | Saging | Musa acuminata | Whole Year | 60 | Tropical |
| Pineapple | Pinya | Ananas comosus | Whole Year | 50 | Tropical |
| Lanzones | Lansones | Lansium domesticum | September | 90 | Tropical |
| Rambutan | Rambutan | Nephelium lappaceum | July | 80 | Tropical |
🎯 Possible Use Cases
This dataset can be used for:
- Data analysis projects
- Machine learning classification
- Agricultural research
- Price trend visualization
- Educational demonstrations
- Filipino language datasets
🛠 How to Use
Example usage in Python:
import pandas as pd
df = pd.read_csv("ph_local_fruits.csv")
print(df.head())
- License
- cc0-1.0
- Created
- Feb 2, 2026
- Updated
- Feb 2, 2026