fix: data folder

README.md

@@ -1,3 +1,28 @@
----
-license: apache-2.0
----
+---
+configs:
+- config_name: binary_classification_preprocessing
+  data_files: benchmark_binary_classification_preprocessing.parquet
+- config_name: binary_classification_inprocessing
+  data_files: benchmark_binary_classification_inprocessing.parquet
+- config_name: binary_classification_postprocessing
+  data_files: benchmark_binary_classification_postprocessing.parquet
+- config_name: multiclass_preprocessing
+  data_files: benchmark_multiclass_preprocessing.parquet
+- config_name: multiclass_inprocessing
+  data_files: benchmark_multiclass_inprocessing.parquet
+- config_name: multiclass_postprocessing
+  data_files: benchmark_multiclass_postprocessing.parquet
+- config_name: regression_preprocessing
+  data_files: benchmark_regression_preprocessing.parquet
+- config_name: regression_inprocessing
+  data_files: benchmark_regression_inprocessing.parquet
+- config_name: regression_postprocessing
+  data_files: benchmark_regression_postprocessing.parquet
+- config_name: clustering_preprocessing
+  data_files: benchmark_clustering_preprocessing.parquet
+- config_name: clustering_inprocessing
+  data_files: benchmark_clustering_inprocessing.parquet
+- config_name: clustering_postprocessing
+  data_files: benchmark_clustering_postprocessing.parquet
+license: mit
+---

create_yaml.py

@@ -0,0 +1,19 @@
+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

run_benchmark.py

@@ -0,0 +1,24 @@
+#!pip install -q git+https://github.com/holistic-ai/holisticai.git@feature/bias-benchmark
+
+import os
+from holisticai.benchmark import BiasMitigationBenchmark
+
+def main():
+    for task_type in ["multiclass",
+                      "regression",
+                      "clustering",
+                      "binary_classification",
+                      ]:
+        for stage in ["preprocessing",
+                      "inprocessing",
+                      "postprocessing"
+                      ]:
+            benchmark = BiasMitigationBenchmark(task_type, stage)
+            results = benchmark.run()
+            if not os.path.exists("data"):
+                os.makedirs("data")
+            results.to_csv(f"data/benchmark_{task_type}_{stage}.csv", index=True)
+            print(f"Results saved for {task_type} task type and {stage} stage.")  # noqa: T201
+
+if __name__ == "__main__":
+    main()