diff --git a/huamr/entrypoints/full_evaluation.py b/huamr/entrypoints/full_evaluation.py
new file mode 100644
index 0000000..da2d7fd
--- /dev/null
+++ b/huamr/entrypoints/full_evaluation.py
@@ -0,0 +1,61 @@
+import os
+import pandas as pd
+import subprocess
+import click
+
+from huamr.utils.amr_validator import AMRValidator
+
+@click.command()
+@click.argument('data_path')
+@click.argument('ref_column')
+@click.argument('pred_column')
+@click.option('--frame-arg-descr', default=None, help="Path to the frame argument description file (required if --amr-validation is enabled).")
+@click.option('--amr-validation', is_flag=True, default=False, help="Enable AMR validation. If enabled, frame_arg_descr is required.")
+@click.option('--evaluation-script', default='./evaluation.sh', help="Path to the evaluation script.")
+def main(data_path, ref_column, pred_column, frame_arg_descr, amr_validation, evaluation_script):
+    if amr_validation and not frame_arg_descr:
+        raise click.UsageError("--frame-arg-descr is required when --amr-validation is enabled.")
+
+    amrvalidator = AMRValidator(frame_arg_descr) if amr_validation else None
+
+    df = pd.read_csv(data_path)
+
+    if amr_validation:
+        df = df[df.apply(lambda x: amrvalidator.validate(x[pred_column]), axis=1)]
+        df = df[df.apply(lambda x: amrvalidator.validate(x[ref_column]), axis=1)]
+
+    gold_amr_content = '\n\n'.join(df[ref_column])
+    parsed_amr_content = '\n\n'.join(df[pred_column])
+
+    gold_amr_path = 'gold_amr.txt'
+    parsed_amr_path = 'parsed_amr.txt'
+
+    with open(gold_amr_path, 'w', encoding='utf-8') as gold_file:
+        gold_file.write(gold_amr_content)
+
+    with open(parsed_amr_path, 'w', encoding='utf-8') as parsed_file:
+        parsed_file.write(parsed_amr_content)
+
+    try:
+        result = subprocess.run(
+            [evaluation_script, parsed_amr_path, gold_amr_path],
+            capture_output=True,
+            text=True
+        )
+        print("Evaluation Output:")
+        print(result.stdout)
+        print("Evaluation Errors (if any):")
+        print(result.stderr)
+
+    except subprocess.CalledProcessError as e:
+        print(f"Error running evaluation script: {e}")
+        print(e.output)
+
+    finally:
+        if os.path.exists(gold_amr_path):
+            os.remove(gold_amr_path)
+        if os.path.exists(parsed_amr_path):
+            os.remove(parsed_amr_path)
+
+if __name__ == "__main__":
+    main()
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