[Frontend] Score entrypoint support data_1 & data_2 and queries & documents as inputs (#32577)

Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io>

docs/serving/openai_compatible_server.md

@@ -694,7 +694,7 @@ Example template file: [examples/pooling/score/template/nemotron-rerank.jinja](.
 
 #### Single inference
 
-You can pass a string to both `text_1` and `text_2`, forming a single sentence pair.
+You can pass a string to both `queries` and `documents`, forming a single sentence pair.
 
 ```bash
 curl -X 'POST' \
@@ -704,8 +704,8 @@ curl -X 'POST' \
   -d '{
   "model": "BAAI/bge-reranker-v2-m3",
   "encoding_format": "float",
-  "text_1": "What is the capital of France?",
-  "text_2": "The capital of France is Paris."
+  "queries": "What is the capital of France?",
+  "documents": "The capital of France is Paris."
 }'
 ```
 
@@ -730,9 +730,9 @@ curl -X 'POST' \
 
 #### Batch inference
 
-You can pass a string to `text_1` and a list to `text_2`, forming multiple sentence pairs
-where each pair is built from `text_1` and a string in `text_2`.
-The total number of pairs is `len(text_2)`.
+You can pass a string to `queries` and a list to `documents`, forming multiple sentence pairs
+where each pair is built from `queries` and a string in `documents`.
+The total number of pairs is `len(documents)`.
 
 ??? console "Request"
 
@@ -743,8 +743,8 @@ The total number of pairs is `len(text_2)`.
       -H 'Content-Type: application/json' \
       -d '{
       "model": "BAAI/bge-reranker-v2-m3",
-      "text_1": "What is the capital of France?",
-      "text_2": [
+      "queries": "What is the capital of France?",
+      "documents": [
         "The capital of Brazil is Brasilia.",
         "The capital of France is Paris."
       ]
@@ -775,9 +775,9 @@ The total number of pairs is `len(text_2)`.
     }
     ```
 
-You can pass a list to both `text_1` and `text_2`, forming multiple sentence pairs
-where each pair is built from a string in `text_1` and the corresponding string in `text_2` (similar to `zip()`).
-The total number of pairs is `len(text_2)`.
+You can pass a list to both `queries` and `documents`, forming multiple sentence pairs
+where each pair is built from a string in `queries` and the corresponding string in `documents` (similar to `zip()`).
+The total number of pairs is `len(documents)`.
 
 ??? console "Request"
 
@@ -789,11 +789,11 @@ The total number of pairs is `len(text_2)`.
       -d '{
       "model": "BAAI/bge-reranker-v2-m3",
       "encoding_format": "float",
-      "text_1": [
+      "queries": [
         "What is the capital of Brazil?",
         "What is the capital of France?"
       ],
-      "text_2": [
+      "documents": [
         "The capital of Brazil is Brasilia.",
         "The capital of France is Paris."
       ]
@@ -847,8 +847,8 @@ You can pass multi-modal inputs to scoring models by passing `content` including
             "http://localhost:8000/v1/score",
             json={
                 "model": "jinaai/jina-reranker-m0",
-                "text_1": "slm markdown",
-                "text_2": {
+                "queries": "slm markdown",
+                "documents": {
                     "content": [
                         {
                             "type": "image_url",