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Avijit Ghosh commited on
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fix readme
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README.md
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title:
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sdk: docker
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pinned: false
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app_port: 3000
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---
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#
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This repository is a Next.js application for viewing and authoring AI evaluations. It provides a comprehensive platform for documenting and sharing AI system evaluations across multiple dimensions including capabilities and risks.
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## Project Goals
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The
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- **Standardize AI evaluation reporting** across different AI systems and models
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- **Facilitate transparency** by providing detailed evaluation cards for AI systems
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- **Enable comparative analysis** of AI capabilities and risks
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### Contributing Evaluation Data
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Evaluation data files are stored in `public/
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To add a new evaluation:
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1. Create a new JSON file in `public/
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2. Follow the structure defined in `schema/output-schema.json`
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3. Ensure all required fields are populated
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4. Validate against the schema before submission
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---
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title: Eval Cards
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emoji: 📋
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sdk: docker
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short_description: Standardized evaluation cards for AI models and benchmarks
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tags:
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- evaluation
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- benchmarks
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- ai-safety
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- visualization
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# Eval Cards
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This repository is a Next.js application for viewing and authoring AI evaluations. It provides a comprehensive platform for documenting and sharing AI system evaluations across multiple dimensions including capabilities and risks.
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## Project Goals
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The Eval Cards project aims to:
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- **Standardize AI evaluation reporting** across different AI systems and models
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- **Facilitate transparency** by providing detailed evaluation cards for AI systems
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- **Enable comparative analysis** of AI capabilities and risks
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### Contributing Evaluation Data
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Evaluation data files are stored in `public/benchmarks/` as JSON files. Each file represents a complete evaluation of an AI system and must conform to the schema defined in `schema/output-schema.json`.
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To add a new evaluation:
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1. Create a new JSON file in `public/benchmarks/`
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2. Follow the structure defined in `schema/output-schema.json`
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3. Ensure all required fields are populated
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4. Validate against the schema before submission
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