remove mlebench

metagpt/ext/sela/runner/README.md

@@ -165,34 +165,4 @@ python run_experiment.py --exp_mode base --task titanic --num_experiments 10
 To run additional baselines:
 
 - Each baseline must produce `dev_predictions.csv` and `test_predictions.csv` with a `target` column.
-- Use the `evaluate_score` function for evaluation.
-
----
-
-## MLE-Bench
-
-**Note:** MLE-Bench requires Python 3.11 or higher.
-
-#### Setup
-
-Clone the repository and install:
-
-```bash
-git clone https://github.com/openai/mle-bench.git
-cd mle-bench
-pip install -e .
-```
-
-Prepare the data:
-
-```bash
-mlebench prepare -c <competition-id> --data-dir <dataset-dir-save-path>
-```
-
-#### Run the MLE-Bench Experiment
-
-Run the following command to execute the experiment:
-
-```bash
-python run_experiment.py --exp_mode mcts --custom_dataset_dir <dataset-dir-save-path/prepared/public> --rollouts 10 --from_scratch --role_timeout 3600
-```
+- Use the `evaluate_score` function for evaluation.