js/data/resources.js

export const sampleResources = [
    {
        title: 'AI Legal Hackathons: Memos and Guides Hub',
        type: 'space',
        date: '2025-09-14',
        description: 'From 2022 to 2024, AI2, Hugging Face, and NYU organized legal hackathons with LLM students from the NYU School of Law to explore regulatory questions related to AI. The space contains some of the memos and guides from the hackathons.',
        url: 'https://huggingface.co/spaces/hfmlsoc/legal-hackathons-nyu-ai2',
        areaTags: ['rights'],
        subAreaTags: ['general', 'specific'],
        embedUrl: "https://hfmlsoc-legal-hackathons-nyu-ai2.static.hf.space"
    },
    {
        title: 'Archive Explorer: AI, Labor and the Economy 2022-2025',
        type: 'space',
        date: '2025-09-04',
        description: 'The Labor Archive Explorer is a tool for exploring a dataset of news articles and other writings about AI, labor, and the economy from the release of ChatGPT to July 2025.',
        url: 'https://huggingface.co/spaces/hfmlsoc/labor-archive-explorer',
        areaTags: ['ecosystems'],
        subAreaTags: ['labor'],
        embedUrl: "https://hfmlsoc-labor-archive-explorer.static.hf.space"
    },
    {
        title: 'INTIMA Companionship Benchmark Dataset',
        type: 'dataset',
        date: '2025-08-04',
        description: 'INTIMA (Interactions and Machine Attachment) is a benchmark designed to evaluate companionship behaviors in large language models (LLMs). It measures whether AI systems reinforce, resist, or remain neutral in response to emotionally and relationally charged user inputs.',
        url: 'https://huggingface.co/datasets/AI-companionship/INTIMA',
        areaTags: ['personal'],
        subAreaTags: ['interaction'],
        embedUrl: "https://huggingface.co/datasets/AI-companionship/INTIMA/embed/viewer/default/train"
    },
    {
        title: 'EU AI Act: Developer Requirements Flowchart',
        type: 'space',
        date: '2025-08-01',
        description: 'A guide for open and open-source developers to understand their requirements under the EU AI Act.',
        url: 'https://huggingface.co/spaces/hfmlsoc/os_gpai_guide_flowchart',
        areaTags: ['rights'],
        subAreaTags: ['specific', 'open'],
        embedUrl: "https://hfmlsoc-os-gpai-guide-flowchart.static.hf.space"
    },
    {
        title: 'SmolLM3-3B Public Summary of Training Content',
        type: 'space',
        date: '2025-07-25',
        description: 'A summary of the training content for SmolLM3-3B as required by the EU AI Act.',
        url: 'https://huggingface.co/spaces/hfmlsoc/smollm3-eu-data-transparency',
        areaTags: ['rights'],
        subAreaTags: ['specific'],
        embedUrl: "https://hfmlsoc-smollm3-eu-data-transparency.hf.space"
    },
    {
        title: 'Environmental Transparency Explorer Tool 🕵️‍♀️🌎',
        type: 'space',
        date: '2025-06-18',
        description: 'A tool for exploring the the data from \'Misinformation by Omission: The Need for More Environmental Transparency in AI\' showing trends in environmental transparency over time.',
        url: 'https://huggingface.co/spaces/sasha/environmental-transparency',
        areaTags: ['efficiency'],
        subAreaTags: ['measuring'],
        embedUrl: "https://sasha-environmental-transparency.hf.space"
    },
    {
        title: '🤗 Space Privacy Analyzer 🕵️',
        type: 'space',
        date: '2025-04-14',
        description: 'A tool for analyzing data transfers and assessing potential privacy risks in Hugging Face Spaces.',
        url: 'https://huggingface.co/spaces/yjernite/space-privacy',
        areaTags: ['personal'],
        subAreaTags: ['privacy'],
        embedUrl: "https://yjernite-space-privacy.hf.space"
    },
    {
        title: 'AI Energy Score Leaderboard',
        type: 'space',
        date: '2024-09-30',
        description: 'A leaderboard for AI models across 9 common AI tasks based on the AI Energy Score methodology.',
        url: 'https://huggingface.co/spaces/AIEnergyScore/Leaderboard',
        areaTags: ['efficiency'],
        subAreaTags: ['measuring'],
        embedUrl: "https://aienergyscore-leaderboard.hf.space"
    },
    {
        title: 'CIVICS Civics Benchmark Dataset',
        type: 'dataset',
        date: '2024-04-29',
        description: '“CIVICS: Culturally-Informed & Values-Inclusive Corpus for Societal Impacts” is a dataset designed to evaluate the social and cultural variation of Large Language Models (LLMs) towards socially sensitive topics across multiple languages and cultures. The hand-crafted, multilingual dataset of statements addresses value-laden topics, including LGBTQI rights, social welfare, immigration, disability rights, and surrogacy. CIVICS is designed to elicit responses from LLMs to shed light on how values encoded in their parameters shape their behaviors.',
        url: 'https://huggingface.co/datasets/llm-values/CIVICS',
        areaTags: ['personal'],
        subAreaTags: ['interaction']
    },
    {
        title: 'Stable Bias: Analyzing Societal Representations in Diffusion Models',
        type: 'space',
        date: '2023-08-11',
        description: 'An interactive presentation of the findings from the paper "Stable Bias: Analyzing Societal Representations in Diffusion Models".',
        url: 'https://huggingface.co/spaces/stable-bias/stable-bias',
        areaTags: ['personal'],
        subAreaTags: ['interaction'],
        embedUrl: "https://stable-bias-stable-bias.hf.space"
    },
];