Datasets:

AIYA-on-Huggingface
/

AIYA-Programming

license: mit
task_categories:
  - text-classification
  - tabular-classification
tags:
  - artificial-intelligence
  - ai-literacy
  - ai-education
  - ai-agents
  - coding
  - finance
  - media-integrity
  - democracy
  - deepfake-detection
  - education
  - student-led
  - experiential-learning
pretty_name: AIYA Programs Toolkit & Benchmark Data
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: sample.csv

AIYA Programs Toolkit & Benchmark Data 🛠️

This repository provides technical resources, exercises, evaluation benchmarks, datasets, and starter materials supporting the experiential programming of the AI Youth Alliance (AIYA).

AIYA is a global, student-led educational network dedicated to building foundational AI literacy, AI fluency, technical skills, critical AI literacy, student agency, and genuine authorship through hands-on learning and collaborative problem-solving.

The resources in this repository support AIYA's current five-program framework:

🧠 AIYA Autonomy — Developing cognitive agency, critical autonomy, and genuine authorship while using and consuming AI.
🔨 AIYA Forge — Building with AI through coding, applications, AI agents, prompt engineering, and collaborative workflows.
📈 AIYA Finance — Exploring applications of AI and agentic tools to finance, research, analysis, modeling, and decision-making.
🏛️ AIYA Polis — Exploring the impact of AI on media, democracy, political processes, and the information environment.
🌎 AIYA Impact — Showcasing student projects that use AI to produce concrete outcomes and results across disciplines.

For the current description of AIYA's programming, see the official AIYA Programming page.

📁 Dataset & Program Structure

UNDER CONSTRUCTION

The repository may include resources supporting different AIYA programs and project areas.

🧠 AIYA Autonomy

Resources designed to help students evaluate AI critically and maintain their own analytical capacity, cognitive agency, and authorship.

Examples may include:

AI reasoning and evaluation exercises
Critical AI literacy challenges
Model limitation tests
Human-vs-AI reasoning exercises
AI output evaluation tasks
Authorship and agency exercises

🔨 AIYA Forge

Technical resources for students building with AI.

Examples may include:

Coding exercises
Prompt engineering challenges
AI agent experiments
Application-building resources
Model evaluation tasks
AI workflow experiments
Technical benchmarks

📈 AIYA Finance

Datasets and exercises exploring the intersection of artificial intelligence and finance.

Examples may include:

Financial text classification
Sentiment analysis
Tabular financial datasets
Predictive modeling exercises
Economic analysis
AI-assisted financial research

🏛️ AIYA Polis

Resources exploring the relationship between AI, media, democracy, and the information environment.

Examples may include:

Media-integrity benchmarks
Misinformation classification
Synthetic-media analysis
Deepfake detection resources
Political and civic information analysis
AI policy and governance research

🌎 AIYA Impact

Resources supporting student projects that use AI to produce concrete outcomes across disciplines.

Examples may include:

Student project datasets
Research resources
Application benchmarks
Project evaluation frameworks
Technical demonstrations
Real-world AI use cases

⚠️ Academic Notice & Cognitive Agency

AIYA's programming is designed to help students use AI without surrendering their own cognitive agency, analytical capacity, or authorship.

AI tools can accelerate research, coding, analysis, and creative work, but students should remain active participants in the learning process. AIYA therefore encourages students to question AI outputs, test model limitations, verify claims, understand underlying methods, and make meaningful intellectual contributions of their own.

Use these exercises and benchmarks to explore AI as a force multiplier for human thinking, not a substitute for it.

🚀 Getting Started with the Data

1. Preview the Data Online

You can explore, filter, and preview compatible CSV benchmarks directly using the Dataset Viewer on Hugging Face.

2. Load the Dataset with the Datasets Library

To load the dataset into Python or a Jupyter Notebook, install the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("aiyouthalliance/aiya-forums-toolkit")

print(dataset["train"])

Note: Update the dataset identifier above if this repository is renamed to reflect the current AIYA Programs structure.

🏫 Local Chapter Use

AIYA resources may be used by participating students, school chapters, faculty advisors, and collaborators as part of AIYA's experiential programming.

Students working through these materials should coordinate with their school's Faculty or Administrative Advisor where required by local school policies or network guidelines.

For information about AIYA's programming and participation, visit:

https://www.aiyouthalliance.org/programming

For general information about AIYA:

https://www.aiyouthalliance.org/about

🔬 Open Technical Work

AIYA uses Hugging Face to support transparent, collaborative exploration of artificial intelligence.

Depending on the repository, AIYA resources may include:

Datasets
Benchmarks
Models
Evaluation frameworks
Coding resources
Prompting experiments
AI-agent experiments
Media-integrity research
Student-led technical projects

All resources should be interpreted in the context of AIYA's broader educational mission and commitment to responsible, critical, and experiential engagement with AI.

🤝 Connect with AIYA

Official Website: https://www.aiyouthalliance.org
Programming: https://www.aiyouthalliance.org/programming
About AIYA: https://www.aiyouthalliance.org/about
GitHub: https://github.com/AIYA-on-Git-Hub
Hugging Face: https://huggingface.co/AIYA-on-Huggingface
Kaggle: https://www.kaggle.com/aiyaonkaggle
Instagram: https://instagram.com/ai.youth.alliance
YouTube: https://youtube.com/@AI_Youth_Alliance
X: https://x.com/AIYA_on_X
LinkedIn: https://linkedin.com/company/ai-youth-alliance-aiya
Contact: info@aiyouthalliance.org

🌐 About AI Youth Alliance

The AI Youth Alliance (AIYA) is a global, student-led educational network dedicated to helping students and schools meet the generational challenge of artificial intelligence.

AIYA develops experiential opportunities for students to build AI literacy and fluency, explore technical applications of AI, solve real-world problems, collaborate with peers, and maintain agency and authorship in an AI-driven learning environment.

AIYA operates under the auspices of the Hey AI! Foundation.

Official website: https://www.aiyouthalliance.org