via “interactive leaderboard with dynamic table generation and filtering”
Embedding model benchmark — 8 tasks, 112 languages, the standard for comparing embeddings.
Unique: Streamlit-based leaderboard with dynamic table generation (mteb/leaderboard/table.py) that supports multi-level filtering (model, task, language, benchmark) and configurable column selection. Figures are generated on-the-fly using matplotlib/plotly. Leaderboard is automatically updated when new results are submitted to the results repository. This enables real-time result visualization without manual updates.
Interactive web-based leaderboard vs. static result tables or spreadsheets, enabling dynamic filtering and exploration. Supports multi-dimensional filtering (task, language, benchmark) vs. single-dimension leaderboards.