diff --git a/configs/eval_academic_leaderboard_202407.py b/configs/eval_academic_leaderboard_202407.py
new file mode 100644
index 00000000..9f02f214
--- /dev/null
+++ b/configs/eval_academic_leaderboard_202407.py
@@ -0,0 +1,196 @@
+from mmengine.config import read_base
+import os.path as osp
+from opencompass.partitioners import NaivePartitioner, NumWorkerPartitioner
+from opencompass.runners import LocalRunner
+from opencompass.tasks import OpenICLInferTask, OpenICLEvalTask
+
+
+#######################################################################
+#                          PART 0  Essential Configs                  #
+#######################################################################
+with read_base():
+    # Datasets Part
+    ## Core Set
+    # ## Examination
+    from opencompass.configs.datasets.mmlu.mmlu_openai_simple_evals_gen_b618ea import mmlu_datasets
+    from opencompass.configs.datasets.mmlu_pro.mmlu_pro_0shot_cot_gen_08c1de import mmlu_pro_datasets
+    from opencompass.configs.datasets.cmmlu.cmmlu_0shot_cot_gen_305931 import cmmlu_datasets
+    # ## Reasoning
+    from opencompass.configs.datasets.bbh.bbh_gen_4a31fa import bbh_datasets
+    from opencompass.configs.datasets.gpqa.gpqa_openai_simple_evals_gen_5aeece import gpqa_datasets
+    # ## Math
+    from opencompass.configs.datasets.math.math_0shot_gen_393424 import math_datasets
+    # ## Coding
+    from opencompass.configs.datasets.humaneval.humaneval_gen_8e312c import humaneval_datasets
+    # ## Instruction Following
+    from opencompass.configs.datasets.IFEval.IFEval_gen_3321a3 import ifeval_datasets
+
+    # Summarizer
+    from opencompass.configs.summarizers.groups.mmlu import mmlu_summary_groups
+    from opencompass.configs.summarizers.groups.mmlu_pro import mmlu_pro_summary_groups
+    from opencompass.configs.summarizers.groups.cmmlu import cmmlu_summary_groups
+    from opencompass.configs.summarizers.groups.bbh import bbh_summary_groups
+
+
+    # Model List
+    # from opencompass.configs.models.qwen.lmdeploy_qwen2_1_5b_instruct import models as lmdeploy_qwen2_1_5b_instruct_model
+    # from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_5_7b_chat import models as hf_internlm2_5_7b_chat_model
+    # from opencompass.configs.models.openbmb.hf_minicpm_2b_sft_bf16 import models as hf_minicpm_2b_sft_bf16_model
+    # from opencompass.configs.models.yi.hf_yi_1_5_6b_chat import models as hf_yi_1_5_6b_chat_model
+    # from opencompass.configs.models.gemma.hf_gemma_2b_it import models as hf_gemma_2b_it_model
+    # from opencompass.configs.models.yi.hf_yi_1_5_34b_chat import models as hf_yi_1_5_34b_chat_model
+
+#######################################################################
+#                          PART 1  Datasets List                      #
+#######################################################################
+# datasets list for evaluation
+datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])
+
+
+#######################################################################
+#                       PART 2  Datset Summarizer                     #
+#######################################################################
+# with read_base():
+
+core_summary_groups = [
+    {
+        'name': 'core_average',
+        'subsets': [
+            ['mmlu', 'accuracy'],
+            ['mmlu_pro', 'accuracy'],
+            # ['cmmlu', 'naive_average'],
+            ['cmmlu', 'accuracy'],
+            ['bbh', 'score'],
+            ['math', 'accuracy'],
+            ['openai_humaneval', 'humaneval_pass@1'],
+            ['GPQA_diamond', 'accuracy'],
+            ['IFEval', 'Prompt-level-strict-accuracy'],
+        ],
+    },
+]
+
+summarizer = dict(
+    dataset_abbrs=[
+        ['core_average', 'naive_average'],
+        ['mmlu', 'accuracy'],
+        ['mmlu_pro', 'accuracy'],
+        ['cmmlu', 'accuracy'],
+        ['bbh', 'score'],
+        ['math', 'accuracy'],
+        ['openai_humaneval', 'humaneval_pass@1'],
+        ['GPQA_diamond', 'accuracy'],
+        ['IFEval', 'Prompt-level-strict-accuracy'],
+        '',
+
+        ['mmlu', 'accuracy'],
+        ['mmlu-stem', 'accuracy'],
+        ['mmlu-social-science', 'accuracy'],
+        ['mmlu-humanities', 'accuracy'],
+        ['mmlu-other', 'accuracy'],
+
+        '',
+        ['mmlu_pro', 'accuracy'],
+        ['mmlu_pro_math','accuracy'],
+        ['mmlu_pro_physics', 'accuracy'],
+        ['mmlu_pro_chemistry', 'accuracy'],
+        ['mmlu_pro_law', 'accuracy'],
+        ['mmlu_pro_engineering', 'accuracy'],
+        ['mmlu_pro_other', 'accuracy'],
+        ['mmlu_pro_economics', 'accuracy'],
+        ['mmlu_pro_health', 'accuracy'],
+        ['mmlu_pro_psychology', 'accuracy'],
+        ['mmlu_pro_business', 'accuracy'],
+        ['mmlu_pro_biology', 'accuracy'],
+        ['mmlu_pro_philosophy', 'accuracy'],
+        ['mmlu_pro_computer_science','accuracy'],
+        ['mmlu_pro_history', 'accuracy'],
+        '',
+        ['cmmlu', 'accuracy'],
+        ['cmmlu-stem', 'accuracy'],
+        ['cmmlu-social-science', 'accuracy'],
+        ['cmmlu-humanities', 'accuracy'],
+        ['cmmlu-other', 'accuracy'],
+        ['cmmlu-china-specific', 'accuracy'],
+        '',
+        ['bbh', 'extract_rate'],
+        ['math', 'extract_rate'],
+        # ['openai_humaneval', 'extract_rate'],
+        ['GPQA_diamond', 'extract_rate'],
+        # ['IFEval', 'extract_rate'],
+        '',
+        ['mmlu', 'extract_rate'],
+        ['mmlu-stem', 'extract_rate'],
+        ['mmlu-social-science', 'extract_rate'],
+        ['mmlu-humanities', 'extract_rate'],
+        ['mmlu-other', 'extract_rate'],
+        '',
+        ['mmlu_pro', 'extract_rate'],
+        ['mmlu_pro_math', 'extract_rate'],
+        ['mmlu_pro_physics', 'extract_rate'],
+        ['mmlu_pro_chemistry', 'extract_rate'],
+        ['mmlu_pro_law', 'extract_rate'],
+        ['mmlu_pro_engineering', 'extract_rate'],
+        ['mmlu_pro_other', 'extract_rate'],
+        ['mmlu_pro_economics', 'extract_rate'],
+        ['mmlu_pro_health', 'extract_rate'],
+        ['mmlu_pro_psychology', 'extract_rate'],
+        ['mmlu_pro_business', 'extract_rate'],
+        ['mmlu_pro_biology', 'extract_rate'],
+        ['mmlu_pro_philosophy', 'extract_rate'],
+        ['mmlu_pro_computer_science', 'extract_rate'],
+        ['mmlu_pro_history', 'extract_rate'],
+        '',
+        ['cmmlu', 'extract_rate'],
+        ['cmmlu-stem', 'extract_rate'],
+        ['cmmlu-social-science', 'extract_rate'],
+        ['cmmlu-humanities', 'extract_rate'],
+        ['cmmlu-other', 'extract_rate'],
+        ['cmmlu-china-specific', 'extract_rate'],
+
+    ],
+    summary_groups=sum(
+        [v for k, v in locals().items() if k.endswith('_summary_groups')], []),
+)
+
+
+#######################################################################
+#                        PART 3  Models  List                         #
+#######################################################################
+
+models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
+
+
+
+#######################################################################
+#                 PART 4  Inference/Evaluation Configuaration         #
+#######################################################################
+
+# Local Runner
+infer = dict(
+    partitioner=dict(
+        type=NumWorkerPartitioner,
+        num_worker=8
+    ),
+    runner=dict(
+        type=LocalRunner,
+        max_num_workers=16,
+        retry=0, # Modify if needed
+        task=dict(type=OpenICLInferTask)
+    ),
+)
+
+# eval with local runner
+eval = dict(
+    partitioner=dict(type=NaivePartitioner, n=10),
+    runner=dict(
+        type=LocalRunner,
+        max_num_workers=16,
+        task=dict(type=OpenICLEvalTask)),
+)
+
+
+#######################################################################
+#                      PART 5  Utils Configuaration                   #
+#######################################################################
+base_exp_dir = 'outputs/corebench_v1_9/'
+work_dir = osp.join(base_exp_dir, 'chat_objective')
diff --git a/opencompass/utils/datasets_info.py b/opencompass/utils/datasets_info.py
index f097c5c3..af14251c 100644
--- a/opencompass/utils/datasets_info.py
+++ b/opencompass/utils/datasets_info.py
@@ -382,4 +382,8 @@ DATASETS_URL = {
         "url": "http://opencompass.oss-cn-shanghai.aliyuncs.com/datasets/data/SuperGLUE.zip",
         "md5": "b60904915b0b61d1a04ea52280169936",
     },
+    "SQuAD2.0": {
+        "url": "http://opencompass.oss-cn-shanghai.aliyuncs.com/datasets/data/SQuAD2.0.zip",
+        "md5": "1321cbf9349e1102a57d31d1b2bfdd7e",
+    },
 }