docs: update benchmark

README.md

@@ -150,12 +150,12 @@ Specifically, the `rerank()` function will split the documents into chunks of si
 
 We evaluated Jina Reranker v2 on multiple benchmarks to ensure top-tier performance and search relevance.
 
-| Model Name                 | Model Size | Miracl(nDCG@10, 18 langs) | MKQA(nDCG@10, 26 langs) | BEIR(nDCG@10, 17 datasets) | MLDR(recall@10, 13 langs) | CodeSearchNet (MRR@10, 3 tasks) | AirBench (nDCG@10, zh/en) | ToolBench (recall@3, 3 tasks) | TableSearch (recall@3) |
-| -----------------------------: | :-------------------------: | :-------------------------: | :-------------------------: | :----------------------------: | :----------------------------: | :----------------------------: | :----------------------------: | :----------------------------: | :----------------------------: |
-| jina-reranker-v2-multilingual 	|           278M           	|           62.14           	|          54.83          	|            53.17           	|           68.95           	|              71.36              	|           61.33           	|             77.75             	|          93.31         	|
-|       bge-reranker-v2-m3      	|           568M           	|            63.43           	|          54.17          	|            53.65           	|           59.73           	|              62.86              	|           61.28           	|             78.46             	|          74.86         	|
-|  mmarco-mMiniLMv2-L12-H384-v1 	|           118M           	 |           59.71           	|          53.37          	|            45.40           	|           28.91           	|              51.78              	|           56.46           	|             58.39             	|          53.60         	|
-|    jina-reranker-v1-base-en   	|             137M             	|             -             	|            -            	|            52.45           	|             -             	|                -                	|             -             	|             74.13             	|          72.89         	|
+|           Model Name          	| Model Size 	| MKQA(nDCG@10, 26 langs) 	| BEIR(nDCG@10, 17 datasets) 	| MLDR(recall@10, 13 langs) 	| CodeSearchNet (MRR@10, 3 tasks) 	| AirBench (nDCG@10, zh/en) 	| ToolBench (recall@3, 3 tasks) 	| TableSearch (recall@3) 	|
+|:-----------------------------:	|:----------:	|-------------------------	|----------------------------	|---------------------------	|---------------------------------	|---------------------------	|-------------------------------	|------------------------	|
+| jina-reranker-v2-multilingual 	|    278M    	|          54.83          	|            53.17           	|           68.95           	|              71.36              	|           60.95           	|             77.75             	|          93.31         	|
+|       bge-reranker-v2-m3      	|    568M    	|          54.17          	|            53.65           	|           59.73           	|              62.86              	|           61.28           	|             78.46             	|          74.86         	|
+|  mmarco-mMiniLMv2-L12-H384-v1 	|    118M    	|          53.37          	|            45.40           	|           28.91           	|              51.78              	|           56.46           	|             58.39             	|          53.60         	|
+|    jina-reranker-v1-base-en   	|    137M    	|            -            	|            52.45           	|             -             	|                -                	|             -             	|             74.13             	|          72.89         	|
 
 Note:
 - NDCG@10 and MRR@10 measure ranking quality, with higher scores indicating better search results