| export const sampleResources = [ | |
| { | |
| 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: '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: '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'] | |
| }, | |
| ]; |