Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+---
+---
+license: mit
+task_categories:
+- text-classification
+- data-analysis
+language:
+- en
+- tl
+pretty_name: Philippine Job Listings Dataset
+size_categories:
+- 1K<n<10K
+---
+
+# 💼 Philippine Job Listings Dataset
+
+## Dataset Description
+
+The **Philippine Job Listings Dataset** contains structured information about job postings in the Philippines.  
+It includes job titles, categories, locations, salary ranges, and required experience.
+
+This dataset is useful for machine learning, analytics, and labor market research.
+
+---
+
+## 📌 Dataset Details
+
+**File Format:** CSV  
+**File Name:** `ph_job_listings.csv`  
+**Total Columns:** 7  
+
+### Column Information
+
+| Column Name | Description |
+|-------------|-------------|
+| job_title | Title of the job position |
+| company | Name of the hiring company |
+| location | City or province of the job |
+| category | Industry or job category |
+| salary_range | Estimated salary offer |
+| experience_required | Years of experience needed |
+| job_type | Full-time, Part-time, Remote |
+
+---
+
+## 📊 Sample Data
+
+| job_title | company | location | category | salary_range | experience_required | job_type |
+|-----------|---------|----------|----------|--------------|--------------------|---------|
+| Software Developer | ABC Tech | Manila | IT | 30,000-50,000 | 2 | Full-time |
+| Call Center Agent | XYZ BPO | Cebu | BPO | 18,000-22,000 | 0 | Full-time |
+| Graphic Designer | Creative Studio | Davao | Design | 20,000-30,000 | 1 | Remote |
+| Teacher | Bright Future School | Quezon City | Education | 15,000-20,000 | 1 | Full-time |
+| Sales Associate | MegaMall Store | Pasay | Retail | 14,000-16,000 | 0 | Part-time |
+
+---
+
+## 🎯 Possible Use Cases
+
+This dataset can be used for:
+
+- Job salary prediction  
+- Text classification of job categories  
+- Trend analysis in Philippine labor market  
+- Building job recommendation systems  
+- Training NLP models for Filipino job-related text  
+
+---
+
+## 🛠 How to Use
+
+Example usage with Python:
+
+```python
+import pandas as pd
+
+df = pd.read_csv("ph_job_listings.csv")
+print(df.describe())