| --- |
| 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](https://www.aiyouthalliance.org/programming)**. |
|
|
| --- |
|
|
| ## 📁 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: |
|
|
| ```python |
| 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](mailto: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 |
|
|
| © 2026 AI Youth Alliance & Hey AI! Foundation. All Rights Reserved. |
