id stringclasses 3
values | text_content stringclasses 2
values | label stringclasses 2
values | sub_track stringclasses 2
values | metadata_source stringclasses 2
values |
|---|---|---|---|---|
AIYA-001 | Local community centers to offer free AI literacy workshops next Tuesday. | authentic | Media & Democracy | Student Reviewer Team A |
AIYA-002 | Breaking: Secret AI algorithm claims it can perfectly predict every financial market drop 48 hours in advance. | manipulated | Finance | Student Reviewer Team B |
... | null | null | null | null |
AIYA Events Toolkits & Benchmark Data 🛠️
This dataset repository provides student-curated evaluation benchmarks and structured data assets supporting the AI Youth Alliance (AIYA) global events program.
The resources in this repository are associated with three AIYA tentpole events:
- AIYA Literacy Week — hands-on challenges and exercises focused on foundational AI literacy and practical AI fluency.
- AIYA Global AI Hackathon — an international student competition focused on building applications, models, agents, and solutions using AI.
- AIYA Impact Symposium — a global showcase for student projects applying artificial intelligence to real-world problems and endeavors.
For current event information, dates, participation details, and announcements, visit:
https://www.aiyouthalliance.org/events
Event Information: The official AIYA Events page is the authoritative source for current event information. This repository contains supporting datasets, benchmarks, and event resources.
📁 Repository Structure
UNDER CONSTRUCTION
sample.csv— Foundational evaluation rows for student media literacy and AI evaluation workflows./literacy-week-toolkit/— Data-driven challenges and exercises highlighting the capabilities and limitations of AI./hackathon-toolkit/— Benchmarking datasets and supporting resources for AIYA Global AI Hackathon challenges./impact-symposium-toolkit/— Reference datasets and validation resources supporting AIYA Impact Symposium projects and submissions.
⚠️ Academic Notice & Cognitive Well-Being
AIYA encourages students to use generative AI and other AI systems critically and deliberately.
AI should be used as a force multiplier for human thinking, not as a replacement for independent analysis, subject understanding, creativity, or genuine authorship.
Students are encouraged to:
- Question AI-generated outputs
- Verify information independently
- Test model capabilities and limitations
- Maintain analytical and problem-solving skills
- Preserve agency and authorship in their own work
🚀 Getting Started with the Data
1. Previewing Data Online
You can preview, filter, and download the data using the interactive Dataset Viewer on this Hugging Face page.
2. Loading via the Datasets Library
To load the dataset into Python or a Jupyter Notebook:
from datasets import load_dataset
dataset = load_dataset("aiyouthalliance/aiya-media-integrity-benchmarks")
print(dataset["train"][0])
- Downloads last month
- 45