Spaces:
No application file
No application file
| import gradio as gr | |
| def init_about(): | |
| """Initialize the about page""" | |
| with gr.Blocks() as block: | |
| with gr.Column(): | |
| # Motivation section | |
| gr.Markdown("## Motivation") | |
| gr.Markdown(""" | |
| [Placeholder] This section explains why we created this embedding benchmark: | |
| - To standardize embedding evaluation | |
| - To promote transparency in model performance | |
| - To accelerate progress in embedding research | |
| """) | |
| # Organizers section | |
| gr.Markdown("## Organizers") | |
| gr.Markdown(""" | |
| [Placeholder] The MTEB benchmark is organized by: | |
| - Person A - Organization X | |
| - Person B - Organization Y | |
| - Person C - Organization Z | |
| """) | |
| # FAQ section | |
| gr.Markdown("## Frequently Asked Questions") | |
| gr.Markdown(""" | |
| [Placeholder] Common questions about MTEB: | |
| **Q: How can I submit my model?** | |
| A: Follow the submission guidelines in our GitHub repository. | |
| **Q: What metrics are used?** | |
| A: We use various metrics depending on the task type. | |
| **Q: How often is the leaderboard updated?** | |
| A: The leaderboard is updated daily. | |
| """) | |
| block.queue(max_size=10) | |
| return block | |