This repository is a curated list of foundation model leaderboards, tools, and evaluation organizations, aimed at researchers and practitioners in the AI field. It provides a comprehensive overview of the landscape for evaluating and comparing foundation models across various modalities and tasks, serving as a valuable resource for staying updated on model performance and evaluation methodologies.

How It Works

The project acts as a central index, categorizing and listing numerous leaderboards and related tools. It organizes these resources by modality (Text, Image, Software, Video, Math, Agent, Audio, 3D, Multimodal, Medical) and by ranking type (Model, Dataset, Metric, Paper, Leaderboard). This structured approach allows users to quickly find relevant evaluation resources for specific AI domains.

Quick Start & Requirements

• Installation: No specific installation is required as this is a curated list.
• Requirements: Access to a web browser to view the list.
• Resources: Links to external leaderboards and tools are provided.

Highlighted Details

• Extensive categorization of leaderboards across 15+ modalities and 5 ranking types.
• Includes a "Tools" section with utilities for managing and exploring leaderboards.
• Features a "Challenges" section listing platforms for AI competitions.
• Provides a citation for an associated research paper on Leaderboard Operations (LBOps).

Maintenance & Community

• The project is maintained by SAILResearch (Software Analysis and Intelligence Lab).
• Contributions are welcomed via pull requests, and suggestions/critiques can be raised via issues.

Licensing & Compatibility

• The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0) given its nature as a curated list, but specific licensing for the listed leaderboards and tools would vary.

Limitations & Caveats

The list's comprehensiveness is dependent on ongoing community contributions and the active maintenance of the listed leaderboards. Some listed resources may become outdated or inactive over time.