Updated readme

README.md

@@ -3,42 +3,19 @@ title: MTEB Leaderboard
 emoji: 🥇
 colorFrom: blue
 colorTo: indigo
-sdk: gradio
-sdk_version: 4.20.0
+sdk: docker
+app_port: 7860
 app_file: app.py
-pinned: false
+pinned: true
 tags:
   - leaderboard
 startup_duration_timeout: 1h
 fullWidth: true
+license: mit
 ---
 
-> As of February 4, 2025, this repository will no longer be under active maintenance, and will be replaced by the new version of the leaderboard, which is integrated into the [mteb package](https://github.com/embeddings-benchmark/mteb). All requested modifications to the leaderboard or model submissions should start in the MTEB repository. 
+# MTEB Leaderboard
 
-## The Legacy MTEB Leaderboard repository
+The new massively-multilingual text embedding-benchmark's leaderboard.
 
-This repository contains legacy code for pushing and updating the MTEB leaderboard daily. 
 
-| Relevant Links                                                | Decription                                                                                                                                                                                                |
-|------------------------------------------|------------------------------|
-| [mteb](https://github.com/embeddings-benchmark/mteb)          | The implementation of the benchmark. Here you e.g. find the code to run your model on the benchmark.                                                                                                      |
-| [leaderboard](https://huggingface.co/spaces/mteb/leaderboard) | The leaderboard itself, here you can view results of model run on MTEB.                                                                                                                                   |
-| [results](https://github.com/embeddings-benchmark/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](https://github.com/embeddings-benchmark/mteb/blob/main/docs/adding_a_model.md).
- |
-
-## Developer setup
-
-To setup the repository:
-
-```bash
-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
-```