Avijit Ghosh commited on
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fix readme

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  1. README.md +13 -7
README.md CHANGED
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  ---
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- title: AI Evaluation Dashboard
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- emoji: 📊
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  colorFrom: blue
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- colorTo: indigo
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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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- # AI Evaluation Dashboard
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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 AI Evaluation Dashboard 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
@@ -44,10 +50,10 @@ This ensures consistency with international AI governance standards and facilita
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  ### Contributing Evaluation Data
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- Evaluation data files are stored in `public/evaluations/` 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/evaluations/`
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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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  colorFrom: blue
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+ colorTo: cyan
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  sdk: docker
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  pinned: false
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  app_port: 3000
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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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  ---
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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