From 896df7f11b441a9b8dfa50820024a82884da58d0 Mon Sep 17 00:00:00 2001
From: BLUESKY477 <abcd15803148000@163.com>
Date: Fri, 22 May 2026 19:23:44 -0500
Subject: Add files via upload

---
 resulets/scripts/summarize_dense_baselines.py | 63 +++++++++++++++++++++++++++
 1 file changed, 63 insertions(+)
 create mode 100644 resulets/scripts/summarize_dense_baselines.py

(limited to 'resulets/scripts/summarize_dense_baselines.py')

diff --git a/resulets/scripts/summarize_dense_baselines.py b/resulets/scripts/summarize_dense_baselines.py
new file mode 100644
index 0000000..081667e
--- /dev/null
+++ b/resulets/scripts/summarize_dense_baselines.py
@@ -0,0 +1,63 @@
+"""Summarize dense retrieval baseline runs into a compact CSV table."""
+
+import argparse
+import csv
+import json
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+from baselines.dense_retrieval import DENSE_RETRIEVER_CONFIGS
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--output_dir", default="outputs/dense_retrieval_baselines")
+    parser.add_argument("--csv_name", default="dense_summary.csv")
+    args = parser.parse_args()
+
+    output_dir = Path(args.output_dir)
+    rows = []
+
+    for summary_path in sorted(output_dir.glob("*_K*/summary.json")):
+        with summary_path.open() as f:
+            summary = json.load(f)
+
+        task = summary.get("task")
+        setting = summary.get("setting")
+        K = summary.get("K")
+        aggregate = summary.get("aggregate", {})
+
+        for method, metrics in aggregate.items():
+            config = DENSE_RETRIEVER_CONFIGS.get(method)
+            rows.append({
+                "task": task,
+                "setting": setting,
+                "K": K,
+                "method": method,
+                "model": config.model_name if config else "",
+                "retrieval_text": config.text_mode if config else "",
+                "year": config.citation_year if config else "",
+                "rougeL": metrics.get("rougeL"),
+                "meteor": metrics.get("meteor"),
+                "sfd_nolen": metrics.get("sfd_nolen"),
+                "avg_len": metrics.get("avg_len"),
+            })
+
+    csv_path = output_dir / args.csv_name
+    csv_path.parent.mkdir(parents=True, exist_ok=True)
+    fieldnames = [
+        "task", "setting", "K", "method", "model", "retrieval_text", "year",
+        "rougeL", "meteor", "sfd_nolen", "avg_len",
+    ]
+    with csv_path.open("w", newline="") as f:
+        writer = csv.DictWriter(f, fieldnames=fieldnames)
+        writer.writeheader()
+        writer.writerows(rows)
+
+    print(f"Wrote {csv_path} ({len(rows)} rows)")
+
+
+if __name__ == "__main__":
+    main()
-- 
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