diff --git a/INSTRUCTIONS.md b/INSTRUCTIONS.md
index 2a4a036..7a49542 100644
--- a/INSTRUCTIONS.md
+++ b/INSTRUCTIONS.md
@@ -114,62 +114,3 @@ scripts/create_readme.sh
 ## Benchmarking ([docs](https://openproblems.bio/documentation/create_task/create_workflow))
 
 When you are finished with creating your components and datset processor you can create a workflow to benchmark the components. This workflow will be created together with the openproblems team.
-
-
-
-
-
-<!-- Add to readme 
-* update _viash.yaml
-* update src/api/task_info.yaml
-* update scripts/download_resources
--->
-
-<!-- #!/bin/bash
-
-echo "This script is not supposed to be run directly."
-echo "Please run the script step-by-step."
-exit 1
-
-# sync resources
-scripts/download_resources.sh
-
-# create a new component
-method_id="my_metric"
-method_lang="python" # change this to "r" if need be
-
-common/create_component/create_component -- \
-  --language "$method_lang" \
-  --name "$method_id"
-
-# TODO: fill in required fields in src/task/methods/foo/config.vsh.yaml
-# TODO: edit src/task/methods/foo/script.py/R
-
-# test the component
-viash test src/task/methods/$method_id/config.vsh.yaml
-
-# rebuild the container (only if you change something to the docker platform)
-# You can reduce the memory and cpu allotted to jobs in _viash.yaml by modifying .platforms[.type == "nextflow"].config.labels
-viash run src/task/methods/$method_id/config.vsh.yaml -- \
-  ---setup cachedbuild ---verbose
-
-# run the method (using parquet as input)
-viash run src/task/methods/$method_id/config.vsh.yaml -- \
-  --de_train "resources/neurips-2023-kaggle/de_train.parquet" \
-  --id_map "resources/neurips-2023-kaggle/id_map.csv" \
-  --output "output/prediction.parquet"
-
-# run the method (using h5ad as input)
-viash run src/task/methods/$method_id/config.vsh.yaml -- \
-  --de_train_h5ad "resources/neurips-2023-kaggle/2023-09-12_de_by_cell_type_train.h5ad" \
-  --id_map "resources/neurips-2023-kaggle/id_map.csv" \
-  --output "output/prediction.parquet"
-
-# run evaluation metric
-viash run src/task/metrics/mean_rowwise_error/config.vsh.yaml -- \
-  --de_test "resources/neurips-2023-kaggle/de_test.parquet" \
-  --prediction "output/prediction.parquet" \
-  --output "output/score.h5ad"
-
-# print score on kaggle test dataset
-python -c 'import anndata; print(anndata.read_h5ad("output/score.h5ad").uns)' -->
\ No newline at end of file