diff --git a/configs/datasets/rolebench/instruction_generalization_zh.py b/configs/datasets/rolebench/instruction_generalization_zh.py
index 646aa7a1..5f53e98d 100644
--- a/configs/datasets/rolebench/instruction_generalization_zh.py
+++ b/configs/datasets/rolebench/instruction_generalization_zh.py
@@ -1,7 +1,7 @@
 from opencompass.openicl.icl_prompt_template import PromptTemplate
 from opencompass.openicl.icl_retriever import ZeroRetriever
 from opencompass.openicl.icl_inferencer import GenInferencer
-from opencompass.openicl.icl_evaluator import RougeEvaluator
+from opencompass.openicl.icl_evaluator import JiebaRougeEvaluator
 from opencompass.datasets.rolebench import InstructionGeneralizationChineseDataset
 
 instruction_generalization_zh_reader_cfg = dict(
@@ -27,7 +27,7 @@ instruction_generalization_zh_infer_cfg = dict(
 )
 
 instruction_generalization_zh_eval_cfg = dict(
-    evaluator=dict(type=RougeEvaluator),
+    evaluator=dict(type=JiebaRougeEvaluator),
     pred_role='BOT'
 )
 
diff --git a/configs/datasets/subjective/multiround/mtbench_single_judge_diff_temp.py b/configs/datasets/subjective/multiround/mtbench_single_judge_diff_temp.py
index f5563f20..57ee2750 100644
--- a/configs/datasets/subjective/multiround/mtbench_single_judge_diff_temp.py
+++ b/configs/datasets/subjective/multiround/mtbench_single_judge_diff_temp.py
@@ -26,7 +26,7 @@ for _name in subjective_all_sets:
                 template="""{dialogue}""",
             ),
             retriever=dict(type=ZeroRetriever),
-            inferencer=dict(type=ChatInferencer, max_seq_len=4096, max_out_len=512, temperature=temperature, do_sample=do_sample,infer_mode='every'),
+            inferencer=dict(type=ChatInferencer, max_seq_len=4096, max_out_len=1024, temperature=temperature, do_sample=do_sample,infer_mode='every'),
         )
 
     subjective_eval_cfg = dict(
diff --git a/docs/en/get_started/faq.md b/docs/en/get_started/faq.md
index 570605c7..5d5117e1 100644
--- a/docs/en/get_started/faq.md
+++ b/docs/en/get_started/faq.md
@@ -119,3 +119,10 @@ If you have already download the checkpoints of the model, you can specify the l
 ```bash
 python run.py --datasets siqa_gen winograd_ppl --hf-type base --hf-path /path/to/model
 ```
+
+## Dataset
+
+### How to build a new dataset?
+
+- For building new objective dataset: [new_dataset](../advanced_guides/new_dataset.md)
+- For building new subjective dataset: [subjective_evaluation](../advanced_guides/subjective_evaluation.md)
diff --git a/docs/zh_cn/get_started/faq.md b/docs/zh_cn/get_started/faq.md
index 44e0f9ea..30d34676 100644
--- a/docs/zh_cn/get_started/faq.md
+++ b/docs/zh_cn/get_started/faq.md
@@ -119,3 +119,10 @@ OpenCompass 中的每个任务代表等待评估的特定模型和数据集部
 ```bash
 python run.py --datasets siqa_gen winograd_ppl --hf-type base --hf-path /path/to/model
 ```
+
+## 数据集
+
+### 如何构建自己的评测数据集
+
+- 客观数据集构建参见：[支持新数据集](../advanced_guides/new_dataset.md)
+- 主观数据集构建参见：[主观评测指引](../advanced_guides/subjective_evaluation.md)
diff --git a/opencompass/cli/main.py b/opencompass/cli/main.py
index bb47221e..d1539d5c 100644
--- a/opencompass/cli/main.py
+++ b/opencompass/cli/main.py
@@ -1,6 +1,7 @@
 # flake8: noqa
 # yapf: disable
 import argparse
+import copy
 import getpass
 import os
 import os.path as osp
diff --git a/opencompass/summarizers/subjective/alignmentbench.py b/opencompass/summarizers/subjective/alignmentbench.py
index 48fc7111..ce357d89 100644
--- a/opencompass/summarizers/subjective/alignmentbench.py
+++ b/opencompass/summarizers/subjective/alignmentbench.py
@@ -369,6 +369,9 @@ class AlignmentBenchSummarizer:
                 if os.path.isdir(subdir_path):
                     judged_answers, references = get_judgeanswer_and_reference(
                         dataset, subdir_path, self.judge_function)
+                    if len(judged_answers) == 0:
+                        score_by_judgemodel[model] = None
+                        continue
                     if self.judge_type == 'general':
                         get_dimension_results(judged_answers, references, fout,
                                               fout_flag, model)