import yaml

data_folder = "data"
data = {"license": "mit", "configs": []}

# Collect configurations based on folder structure
for task in ["binary_classification", "multiclass", "regression", "clustering",]:
    for stage in ["preprocessing", "inprocessing", "postprocessing"]:
        config = {
            "config_name": task + "_" + stage,
            "data_files": f"benchmark_{task}_{stage}.parquet"
        }
        data["configs"].append(config)

# Write YAML to README.md with delimiters
with open("README.md", "w") as file:
    file.write("---\n")  # Add starting delimiter
    yaml.dump(data, file, default_flow_style=False)
    file.write("---\n")  # Add ending delimiter