diff --git a/.github/scripts/eval_regression_chat_obj_fullbench_v8.py b/.github/scripts/eval_regression_chat_obj_fullbench_v8.py
index 53908f976..cb588d6cb 100644
--- a/.github/scripts/eval_regression_chat_obj_fullbench_v8.py
+++ b/.github/scripts/eval_regression_chat_obj_fullbench_v8.py
@@ -12,6 +12,10 @@
         biodata_task_datasets  # noqa: F401, E501
     from opencompass.configs.datasets.CMPhysBench.cmphysbench_gen import \
         cmphysbench_datasets  # noqa: F401, E501
+    from opencompass.configs.datasets.IFBench.IFBench_gen import \
+        ifbench_datasets  # noqa: F401, E501
+    from opencompass.configs.datasets.livecodebench_pro.livecodebench_pro_gen import \
+        lcb_pro_datasets  # noqa: F401, E501
     from opencompass.configs.datasets.MolInstructions_chem.mol_instructions_chem_gen import \
         mol_gen_selfies_datasets  # noqa: F401, E501
     from opencompass.configs.datasets.openswi.openswi_gen import \
@@ -19,10 +23,7 @@
 
     from ...rjob import eval, infer  # noqa: F401, E501
 
-datasets = [
-    *atlas_datasets, *biodata_task_datasets, *cmphysbench_datasets,
-    *mol_gen_selfies_datasets, *openswi_datasets
-]
+datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])
 
 for d in datasets:
     if 'n' in d:
diff --git a/.github/scripts/oc_score_baseline_fullbench.yaml b/.github/scripts/oc_score_baseline_fullbench.yaml
index 427dd98de..116485a93 100644
--- a/.github/scripts/oc_score_baseline_fullbench.yaml
+++ b/.github/scripts/oc_score_baseline_fullbench.yaml
@@ -352,6 +352,13 @@ qwen-3-8b-hf-fullbench:
         OpenSWI-shallow-1k_valid: 18.75
         OpenSWI-deep-1k_score: 1069.07
         OpenSWI-deep-1k_valid: 6.25
+        IFBench_score: 25
+        IFBench_Prompt-level-strict-accuracy: 25
+        IFBench_Inst-level-strict-accuracy: 25
+        IFBench_Prompt-level-loose-accuracy: 25
+        IFBench_Inst-level-loose-accuracy: 25
+        lcb_pro_accuracy: 25
+        lcb_pro_pass@1: 25
     chat_subjective:
         alignment_bench_v1_1_总分: 0.46
         arenahard_score: 100
@@ -740,6 +747,13 @@ qwen-3-8b-fullbench:
         OpenSWI-shallow-1k_valid: 6.25
         OpenSWI-deep-1k_score: 861.96
         OpenSWI-deep-1k_valid: 0
+        IFBench_score: 25
+        IFBench_Prompt-level-strict-accuracy: 25
+        IFBench_Inst-level-strict-accuracy: 25
+        IFBench_Prompt-level-loose-accuracy: 25
+        IFBench_Inst-level-loose-accuracy: 25
+        lcb_pro_accuracy: 37.5
+        lcb_pro_pass@1: 37.5
     chat_longtext: 
         babilong_qa1_256k_score: 0.00
         LongBench_2wikimqa_score: 5.43
diff --git a/.github/workflows/daily-run-test.yml b/.github/workflows/daily-run-test.yml
index 61c9f05bc..98a77aa04 100644
--- a/.github/workflows/daily-run-test.yml
+++ b/.github/workflows/daily-run-test.yml
@@ -42,8 +42,9 @@ env:
   CONDA_PATH: /mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/miniconda3
   REPORT_ROOT: /mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/eval_report/regression_test
   COMPASS_DATA_CACHE: /mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/compass_data_cache
-  HF_DATASETS_CACHE: /mnt/shared-storage-user/auto-eval-pipeline/qa-llm-cicd/hf_cache
+  HF_DATASETS_CACHE: /mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/hf_cache
   HF_HUB_CACHE: /mnt/shared-storage-user/large-model-center-share-weights/hf_hub
+  HF_DATASETS_DISABLE_LOCKFILES: 1
   HF_ENDPOINT: https://hf-mirror.com
   TMPDIR: /mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/tmpdir
   PIP_CACHE_DIR: /mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/pip_cache
@@ -222,7 +223,7 @@ jobs:
           . ${{env.CONDA_PATH}}/bin/activate
           conda activate ${{env.CONDA_ENV}}
           conda info --envs
-          rjob submit --metadata-name=cmd-${{ env.JOB_NAME }} --charged-group=opencompass_gpu --private-machine=group --group=opencompass_gpu --gpu=2 --cpu=32 --memory=32568 --private-machine=group --image=registry.h.pjlab.org.cn/ailab-puyu/xpuyu:torch-2.6.0-45d96d5f-0607 --env=COMPASS_DATA_CACHE=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/compass_data_cache --env=TIKTOKEN_CACHE_DIR=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/share_tiktoken --env=HF_ENDPOINT=https://hf-mirror.com --env=HF_DATASETS_CACHE=/mnt/shared-storage-user/auto-eval-pipeline/qa-llm-cicd/hf_cache --env=HF_HUB_CACHE=/mnt/shared-storage-user/large-model-center-share-weights/hf_hub --env=CUDA_MODULE_LOADING=EAGER --env=HF_DATASETS_OFFLINE=1 --env=TRANSFORMERS_OFFLINE=1 --env=HF_EVALUATE_OFFLINE=1 --env=HF_HUB_OFFLINE=1 --env=VLLM_USE_MODELSCOPE=false --env=VLLM_WORKER_MULTIPROC_METHOD=spawn --mount=gpfs://gpfs1/opencompass-shared:/mnt/shared-storage-user/opencompass-shared --mount=gpfs://gpfs1/auto-eval-pipeline:/mnt/shared-storage-user/auto-eval-pipeline --mount=gpfs://gpfs1/large-model-center-share-weights:/mnt/shared-storage-user/large-model-center-share-weights --host-network=True -- bash -exc '/mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/daily_cmd_test.sh ${{env.REPORT_ROOT}}/${{ github.run_id }}'
+          rjob submit --metadata-name=cmd-${{ env.JOB_NAME }} --charged-group=opencompass_gpu --private-machine=group --group=opencompass_gpu --gpu=2 --cpu=32 --memory=32568 --private-machine=group --image=registry.h.pjlab.org.cn/ailab-puyu/xpuyu:torch-2.6.0-45d96d5f-0607 --env=COMPASS_DATA_CACHE=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/compass_data_cache --env=TIKTOKEN_CACHE_DIR=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/share_tiktoken --env=HF_ENDPOINT=https://hf-mirror.com --env=HF_DATASETS_CACHE=/mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/hf_cache --env=HF_HUB_CACHE=/mnt/shared-storage-user/large-model-center-share-weights/hf_hub --env=CUDA_MODULE_LOADING=EAGER --env=HF_DATASETS_OFFLINE=1 --env=TRANSFORMERS_OFFLINE=1 --env=HF_EVALUATE_OFFLINE=1 --env=HF_HUB_OFFLINE=1 --env=VLLM_USE_MODELSCOPE=false --env=VLLM_WORKER_MULTIPROC_METHOD=spawn --mount=gpfs://gpfs1/opencompass-shared:/mnt/shared-storage-user/opencompass-shared --mount=gpfs://gpfs1/auto-eval-pipeline:/mnt/shared-storage-user/auto-eval-pipeline --mount=gpfs://gpfs1/large-model-center-share-weights:/mnt/shared-storage-user/large-model-center-share-weights --host-network=True -- bash -exc '/mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/daily_cmd_test.sh ${{env.REPORT_ROOT}}/${{ github.run_id }}'
 
           for i in {1..300}; do
             current_status=$(rjob get cmd-${{ env.JOB_NAME }} | grep -oP 'rjob [^:]+: \K[^ ]+')
@@ -277,7 +278,7 @@ jobs:
           . ${{env.CONDA_PATH}}/bin/activate
           conda activate ${{env.CONDA_ENV}}
           conda info --envs
-          rjob submit --metadata-name=${{matrix.regression_func}}-${{ env.JOB_NAME }} --charged-group=opencompass_gpu --private-machine=group --group=opencompass_gpu --gpu=1 --cpu=32 --memory=32568 --private-machine=group --image=registry.h.pjlab.org.cn/ailab-puyu/xpuyu:torch-2.6.0-45d96d5f-0607 --env=COMPASS_DATA_CACHE=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/compass_data_cache --env=TIKTOKEN_CACHE_DIR=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/share_tiktoken --env=HF_ENDPOINT=https://hf-mirror.com --env=HF_DATASETS_CACHE=/mnt/shared-storage-user/auto-eval-pipeline/qa-llm-cicd/hf_cache --env=HF_HUB_CACHE=/mnt/shared-storage-user/large-model-center-share-weights/hf_hub --env=CUDA_MODULE_LOADING=EAGER --env=HF_DATASETS_OFFLINE=1 --env=TRANSFORMERS_OFFLINE=1 --env=HF_EVALUATE_OFFLINE=1 --env=HF_HUB_OFFLINE=1 --env=VLLM_USE_MODELSCOPE=false --env=VLLM_WORKER_MULTIPROC_METHOD=spawn --mount=gpfs://gpfs1/opencompass-shared:/mnt/shared-storage-user/opencompass-shared --mount=gpfs://gpfs1/auto-eval-pipeline:/mnt/shared-storage-user/auto-eval-pipeline --mount=gpfs://gpfs1/large-model-center-share-weights:/mnt/shared-storage-user/large-model-center-share-weights --host-network=True -- bash -exc '/mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/daily_${{matrix.regression_func}}_test.sh ${{env.REPORT_ROOT}}/${{ github.run_id }} ${{env.WORK_PATH}}'
+          rjob submit --metadata-name=${{matrix.regression_func}}-${{ env.JOB_NAME }} --charged-group=opencompass_gpu --private-machine=group --group=opencompass_gpu --gpu=1 --cpu=32 --memory=32568 --private-machine=group --image=registry.h.pjlab.org.cn/ailab-puyu/xpuyu:torch-2.6.0-45d96d5f-0607 --env=COMPASS_DATA_CACHE=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/compass_data_cache --env=TIKTOKEN_CACHE_DIR=/mnt/shared-storage-user/auto-eval-pipeline/opencompass/llmeval/share_tiktoken --env=HF_ENDPOINT=https://hf-mirror.com --env=HF_DATASETS_CACHE=/mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/hf_cache --env=HF_HUB_CACHE=/mnt/shared-storage-user/large-model-center-share-weights/hf_hub --env=CUDA_MODULE_LOADING=EAGER --env=HF_DATASETS_OFFLINE=1 --env=TRANSFORMERS_OFFLINE=1 --env=HF_EVALUATE_OFFLINE=1 --env=HF_HUB_OFFLINE=1 --env=VLLM_USE_MODELSCOPE=false --env=VLLM_WORKER_MULTIPROC_METHOD=spawn --mount=gpfs://gpfs1/opencompass-shared:/mnt/shared-storage-user/opencompass-shared --mount=gpfs://gpfs1/auto-eval-pipeline:/mnt/shared-storage-user/auto-eval-pipeline --mount=gpfs://gpfs1/large-model-center-share-weights:/mnt/shared-storage-user/large-model-center-share-weights --host-network=True -- bash -exc '/mnt/shared-storage-user/opencompass-shared/qa-llm-cicd/daily_${{matrix.regression_func}}_test.sh ${{env.REPORT_ROOT}}/${{ github.run_id }} ${{env.WORK_PATH}}'
 
           for i in {1..300}; do
             current_status=$(rjob get ${{matrix.regression_func}}-${{ env.JOB_NAME }} | grep -oP 'rjob [^:]+: \K[^ ]+')