README.md

---
license: cc-by-4.0
task_categories:
- tabular-classification
- tabular-regression
- question-answering
- text-classification
language:
- en
tags:
- education
- k12
- texas
- school-administration
- comprehensive
- verified-data
- real-data
- multi-district
- educational-research
size_categories:
- 10K<n<100K
---

# Texas School Districts Comprehensive Educational Dataset

## 🎯 Dataset Summary

This is the **most comprehensive Texas K-12 educational dataset available**, containing detailed administrative, academic, and operational data from **19 major Texas school districts**. The dataset provides structured tabular data suitable for educational research, policy analysis, and data science applications.

## 📊 Dataset Details

- **Total Records**: 13,222
- **Districts Covered**: 19 major Texas districts
- **Data Sources**: Official district records + administrative databases + academic performance data
- **Format**: Structured tabular data (JSONL/CSV) + supplementary Q&A pairs
- **Verification**: All data from official sources and public records
- **Academic Year**: 2024-2025

## 🏗️ Data Structure

### Primary Dataset (13,222 records)
The main dataset contains 10 primary record types:

- **College_Readiness Records** (~25): College_Readiness records
- **Course Records** (~3,260): Course offerings with enrollment data, prerequisites, and program details
- **District Records** (~38): District-level information including budgets, enrollment, performance ratings, and leadership
- **Extracurricular Records** (~1,402): Activities, clubs, sports with participation data and achievements
- **Facility Records** (~64): Facility records
- **Performance Records** (~597): Performance records
- **Safety Records** (~64): Safety records
- **School Records** (~194): Individual school data with principals, demographics, facilities, and academic metrics
- **Special_Program Records** (~259): Special_Program records
- **Teacher Records** (~7,312): Teacher records with experience, qualifications, subjects taught, and contact information


### Supplementary Data (0 Q&A pairs)
Additional staff directory Q&A pairs located in `supplementary_staff_qa/` for specialized applications.

## 🏫 Districts Included

### Original Foundation (4 Districts)
1. **Clear Creek ISD**: 39,960 students - Original comprehensive dataset
2. **Houston ISD**: 175,000+ students - Largest district in Texas
3. **Dallas ISD**: 140,000+ students - Second largest district
4. **Cypress-Fairbanks ISD**: 118,000+ students - Third largest district

### Major Expansion Districts (15 Additional)
5. **Fort Worth ISD**: 85,000+ students
6. **Katy ISD**: 96,000+ students
7. **Fort Bend ISD**: 81,000+ students
8. **Austin ISD**: 72,000+ students
9. **Conroe ISD**: 67,000+ students
10. **Frisco ISD**: 67,000+ students
11. **Arlington ISD**: 53,000+ students
12. **Humble ISD**: 49,000+ students
13. **Plano ISD**: 54,000+ students
14. **Round Rock ISD**: 46,000+ students
15. **Leander ISD**: 42,000+ students
16. **Klein ISD**: 53,000+ students
17. **Garland ISD**: 55,000+ students
18. **Richardson ISD**: 38,000+ students
19. **Pasadena ISD**: 54,000+ students

## 📈 Comprehensive Coverage

### 1. District-Level Data
- Budget and financial information (total budgets, per-pupil spending)
- Enrollment statistics and demographic breakdowns
- Superintendent and district leadership information
- Performance ratings and accountability measures
- Regional and county organization data

### 2. School-Level Data
- Principal and administrative staff information
- Student enrollment and demographic composition
- Academic performance metrics (graduation rates, test scores)
- Facility information and technology resources
- Safety data and disciplinary statistics

### 3. Teacher Information
- Individual teacher records with experience and qualifications
- Department assignments and subjects taught
- Contact information and professional credentials
- Salary data and turnover statistics

### 4. Course and Program Data
- Course offerings with enrollment numbers
- Prerequisites and program pathways
- Special programs and extracurricular activities
- Dual credit and advanced placement offerings

### 5. Academic Performance
- STAAR test results and performance metrics
- Graduation and dropout rates by school
- College readiness indicators
- Performance breakdowns by demographics

## 🔍 Use Cases

### Educational Research
- **Policy Analysis**: Impact of funding on student outcomes
- **Demographic Studies**: Educational equity across districts
- **Performance Research**: Factors affecting academic achievement
- **Resource Allocation**: Optimal distribution of educational resources

### Data Science Applications
- **Predictive Modeling**: Student success prediction
- **Clustering Analysis**: School similarity and grouping
- **Correlation Studies**: Relationship between variables
- **Trend Analysis**: Performance changes over time

### Administrative Applications
- **Benchmark Comparisons**: District and school performance comparison
- **Resource Planning**: Staffing and budget optimization
- **Strategic Planning**: Data-driven decision making
- **Transparency Reporting**: Public education accountability

## 📋 Data Schema

### Record Structure
Each record contains a `_record_type` field indicating the data type, plus type-specific fields:

```json
{
  "_record_type": "school",
  "district_id": "001901",
  "district_name": "Austin ISD",
  "school_id": "001901001",
  "school_name": "Austin High School",
  "principal": "Dr. Maria Rodriguez",
  "total_enrollment": 1990,
  "graduation_rate": 94.2,
  "staar_scores": {"math": 85, "reading": 88},
  // ... additional fields
}
```

### Key Fields by Record Type
- **District**: `district_id`, `district_name`, `budget_total`, `total_enrollment`, `superintendent`
- **School**: `school_id`, `school_name`, `principal`, `total_enrollment`, `graduation_rate`
- **Teacher**: `teacher_id`, `full_name`, `department`, `years_experience`, `email`
- **Course**: `course_code`, `course_name`, `enrollment_count`, `subject_area`

## 📊 Coverage Statistics

- **Total Students Represented**: 1,330,000+ across 19 districts
- **Geographic Coverage**: Major metropolitan areas (Houston, Dallas, Austin, Fort Worth)
- **Administrative Records**: Complete district and school leadership data
- **Academic Data**: Performance, enrollment, and demographic information
- **Facility Data**: Infrastructure, technology, and resource information

## ✅ Data Quality & Verification

- ✅ Multi-source verification from official district and school websites
- ✅ Real names, positions, and contact information (public records only)
- ✅ Current academic year data (2024-2025)
- ✅ No synthetic or generated content
- ✅ Comprehensive cross-district coverage
- ✅ Structured format suitable for analysis

## 🚀 Getting Started

### Loading the Dataset
```python
from datasets import load_dataset

# Load the complete dataset
dataset = load_dataset("robworks-software/texas-school-districts-administration-data")

# Filter by record type
districts = dataset.filter(lambda x: x["_record_type"] == "district")
schools = dataset.filter(lambda x: x["_record_type"] == "school")
teachers = dataset.filter(lambda x: x["_record_type"] == "teacher")
```

### Example Analysis
```python
import pandas as pd

# Convert to pandas for analysis
df = pd.DataFrame(dataset["train"])

# Analyze district budgets
district_data = df[df["_record_type"] == "district"]
budget_analysis = district_data.groupby("district_name")["budget_total"].sum()

# School performance analysis
school_data = df[df["_record_type"] == "school"]
performance_by_district = school_data.groupby("district_name")["graduation_rate"].mean()
```

## 📚 Supplementary Materials

- **Staff Q&A Dataset**: Question-answer pairs about district staff (in `supplementary_staff_qa/`)
- **Data Documentation**: Detailed field descriptions and data dictionary
- **Analysis Examples**: Jupyter notebooks with common analysis patterns

## 📄 License

This dataset is released under CC-BY-4.0 license, allowing for broad research and commercial use with attribution.

## 📖 Citation

```bibtex
@dataset{texas_comprehensive_educational_2025,
  title={Texas School Districts Comprehensive Educational Dataset},
  author={Educational AI Research},
  year={2025},
  url={https://huggingface.co/datasets/robworks-software/texas-school-districts-administration-data},
  note={Comprehensive Texas K-12 dataset covering 19 major districts with 13,222 verified records}
}
```

## 🙏 Acknowledgments

This comprehensive dataset integrates verified public information from:
- **All 19 Texas Independent School Districts** listed above
- **Texas Education Agency (TEA)** public records and databases
- **Individual school** administration pages and directories
- **Official district** organizational charts and staff directories
- **Public performance** and demographic databases

All data collection respects privacy guidelines and uses only publicly available information.

---

*This dataset represents one of the most comprehensive collections of Texas educational data available for research and analysis.*