README.md

metadata

title: MTEB Legacy Leaderboard
emoji: 🥇
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.20.0
app_file: app.py
pinned: false
tags:
  - leaderboard
startup_duration_timeout: 1h
fullWidth: true

The MTEB Leaderboard repository

This repository contains the code for pushing and updating the MTEB leaderboard daily.

Relevant Links	Decription
mteb	The implementation of the benchmark. Here you e.g. find the code to run your model on the benchmark.
leaderboard	The leaderboard itself, here you can view results of model run on MTEB.
results	The results of MTEB is stored here. To learn how to add results to the Leaderboard, refer to the documentation: Adding a Model to the Leaderboard.

Developer setup

To setup the repository:

git clone https://github.com/embeddings-benchmark/leaderboard.git
cd leaderboard
# install requirements
pip install -r requirements.txt
# fetch new results
# python refresh.py
# if you'd like to add results to previously cached models, you may have to remove these models in `EXTERNAL_MODEL_RESULTS.json`
# you can also directly delete `EXTERNAL_MODEL_RESULTS.json` and it will recreate it (but be much slower)
# run the leaderboard
python app.py