Add BM25 nDCG@10 to model results table and note bm25 subset

README.md

@@ -168,7 +168,7 @@ configs:
 ---
 
 
-# NanoCodeSearchNet
+# NanoCodeSearchNet (with bm25 subset)
 
 A tiny, evaluation-ready slice of [CodeSearchNet](https://huggingface.co/datasets/code-search-net/code_search_net) (test set) that mirrors the spirit of [NanoBEIR](https://huggingface.co/collections/zeta-alpha-ai/nanobeir): same task, same style, but dramatically smaller so you can iterate and benchmark in minutes instead of hours.
 
@@ -178,8 +178,11 @@ Evaluation can be performed during and after training by integrating with Senten
 
 NanoCodeSearchNet Evaluation (NDCG@10)
 
+A `bm25` subset is included for first-stage retrieval and reranking experiments.
+
 | Model | avg | Go | Java | JavaScript | PHP | Python | Ruby |
 |---|---:|---:|---:|---:|---:|---:|---:|
+| bm25 | 0.4295 | 0.3644 | 0.3952 | 0.3308 | 0.2311 | 0.9552 | 0.3005 |
 | e5-small | 0.7268 | 0.6805 | 0.7884 | 0.6386 | 0.6603 | 0.9142 | 0.6788 |
 | e5-large | 0.7836 | 0.7595 | 0.8287 | 0.6942 | 0.7291 | 0.9513 | 0.7391 |
 | bge-m3 | 0.7107 | 0.6643 | 0.6934 | 0.6138 | 0.6229 | 0.9852 | 0.6844 |