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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 | |