Add files using upload-large-folder tool

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Complex_Landscape_20260526_024056_gpu3.log

@@ -0,0 +1,29 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Landscape', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Complex_Landscape', dimension=['Complex_Landscape'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Landscape/results_2026-05-26-02:40:59_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 02:41:01.268145: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779763261.289418  632877 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779763261.295024  632877 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779763261.310616  632877 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763261.310638  632877 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763261.310642  632877 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763261.310644  632877 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Landscape/results_2026-05-26-02:40:59_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 02:41:08,891 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+2026-05-26 02:41:14,187 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
  0%|          | 0/30 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Landscape/results_2026-05-26-02:40:59_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Complex_Plot_20260526_024159_gpu2.log

@@ -0,0 +1,29 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Plot', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Complex_Plot', dimension=['Complex_Plot'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Plot/results_2026-05-26-02:42:02_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 02:42:04.452654: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779763324.470620  633440 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779763324.476212  633440 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779763324.490865  633440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763324.490888  633440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763324.490891  633440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763324.490894  633440 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Plot/results_2026-05-26-02:42:02_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 02:42:10,562 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+2026-05-26 02:42:15,570 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
  0%|          | 0/60 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Complex_Plot/results_2026-05-26-02:42:02_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Composition_20260526_024422_gpu6.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Composition', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Composition', dimension=['Composition'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Composition/results_2026-05-26-02:44:25_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 02:44:27.427125: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779763467.445235  634190 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779763467.450887  634190 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779763467.465788  634190 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763467.465810  634190 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763467.465813  634190 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763467.465815  634190 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Composition/results_2026-05-26-02:44:25_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 02:44:33,609 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/53 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Composition/results_2026-05-26-02:44:25_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Diversity_20260526_000948_gpu1.log

@@ -0,0 +1,11 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Diversity', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Diversity', dimension=['Diversity'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Diversity/results_2026-05-26-00:09:51_full_info.json
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Diversity/results_2026-05-26-00:09:51_full_info.json
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG19_Weights.IMAGENET1K_V1`. You can also use `weights=VGG19_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Diversity/results_2026-05-26-00:09:51_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Dynamic_Attribute_20260526_024524_gpu4.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Dynamic_Attribute', dimension=['Dynamic_Attribute'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute/results_2026-05-26-02:45:27_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 02:45:29.433252: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779763529.451432  634648 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779763529.457091  634648 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779763529.472103  634648 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763529.472128  634648 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763529.472130  634648 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763529.472133  634648 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute/results_2026-05-26-02:45:27_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 02:45:35,608 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Attribute/results_2026-05-26-02:45:27_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Dynamic_Spatial_Relationship_20260526_025051_gpu1.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Dynamic_Spatial_Relationship', dimension=['Dynamic_Spatial_Relationship'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship/results_2026-05-26-02:50:53_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 02:50:55.817612: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779763855.835736  636109 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779763855.841387  636109 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779763855.856490  636109 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763855.856518  636109 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763855.856521  636109 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763855.856524  636109 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship/results_2026-05-26-02:50:53_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 02:51:02,035 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/69 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Dynamic_Spatial_Relationship/results_2026-05-26-02:50:53_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Human_Anatomy_20260526_000948_gpu3.log

@@ -0,0 +1,32 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Anatomy', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Human_Anatomy', dimension=['Human_Anatomy'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Anatomy/results_2026-05-26-00:09:51_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+/usr/local/lib/python3.12/site-packages/imagecorruptions/corruptions.py:17: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
+  from pkg_resources import resource_filename
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Anatomy/results_2026-05-26-00:09:51_full_info.json
+2026-05-26 00:09:56.640584: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779754196.658992  409231 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779754196.664574  409231 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779754196.682054  409231 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754196.682073  409231 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754196.682075  409231 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754196.682078  409231 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+Loads checkpoint by local backend from path: /root/ckpts/vbench2/YOLO-World/yolo_world_v2_xl_obj365v1_goldg_cc3mlite_pretrain-5daf1395.pth
+2026-05-26 00:10:02,749 - lvis.lvis - INFO - Loading annotations.
+2026-05-26 00:10:03,624 - lvis.lvis - INFO - Creating index.
+2026-05-26 00:10:03,665 - lvis.lvis - INFO - Index created.
+Loads checkpoint by local backend from path: /root/ckpts/vbench2/YOLO-World/yolo_world_v2_xl_obj365v1_goldg_cc3mlite_pretrain-5daf1395.pth
+2026-05-26 00:10:11,672 - lvis.lvis - INFO - Loading annotations.
+2026-05-26 00:10:12,395 - lvis.lvis - INFO - Creating index.
+2026-05-26 00:10:12,508 - lvis.lvis - INFO - Index created.
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+/usr/local/lib/python3.12/site-packages/torch/functional.py:539: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:3637.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Anatomy/results_2026-05-26-00:09:51_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Human_Clothes_20260526_025225_gpu5.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Clothes', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Human_Clothes', dimension=['Human_Clothes'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Clothes/results_2026-05-26-02:52:28_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 02:52:30.431556: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779763950.449625  636733 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779763950.455246  636733 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779763950.470102  636733 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763950.470126  636733 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763950.470130  636733 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779763950.470132  636733 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Clothes/results_2026-05-26-02:52:28_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 02:52:36,655 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Clothes/results_2026-05-26-02:52:28_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Human_Identity_20260526_025819_gpu1.log

@@ -0,0 +1,13 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Identity', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Human_Identity', dimension=['Human_Identity'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Identity/results_2026-05-26-02:58:22_full_info.json
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Identity/results_2026-05-26-02:58:22_full_info.json
+/usr/local/lib/python3.12/site-packages/torch/hub.py:870: FutureWarning: Falling back to the old format < 1.6. This support will be deprecated in favor of default zipfile format introduced in 1.6. Please redo torch.save() to save it in the new zipfile format.
+  return _legacy_zip_load(cached_file, model_dir, map_location, weights_only)
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
+  warnings.warn(msg)
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Identity/results_2026-05-26-02:58:22_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Human_Interaction_20260526_000948_gpu5.log

@@ -0,0 +1,28 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Interaction', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Human_Interaction', dimension=['Human_Interaction'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Interaction/results_2026-05-26-00:09:51_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 00:09:53.651906: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779754193.669723  409247 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779754193.675202  409247 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779754193.691125  409247 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754193.691144  409247 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754193.691146  409247 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754193.691148  409247 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Interaction/results_2026-05-26-00:09:51_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+
+Model Class: LlavaQwenForCausalLM
+2026-05-26 00:10:06,429 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Human_Interaction/results_2026-05-26-00:09:51_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Instance_Preservation_20260526_000948_gpu7.log

@@ -0,0 +1,49 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Instance_Preservation', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Instance_Preservation', dimension=['Instance_Preservation'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Instance_Preservation/results_2026-05-26-00:09:51_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 00:09:55.168000: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779754195.189957  409263 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779754195.196454  409263 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779754195.215263  409263 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754195.215294  409263 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754195.215297  409263 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779754195.215299  409263 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+[INFO:swift] Successfully registered `/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/Instance_detector/swift/llm/dataset/data/dataset_info.json`.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Instance_Preservation/results_2026-05-26-00:09:51_full_info.json
+[INFO:swift] Successfully loaded /root/ckpts/vbench2/instance_anomaly_detector/model/args.json.
+[INFO:swift] Downloading the model from ModelScope Hub, model_id: Qwen/Qwen2.5-VL-3B-Instruct
+Downloading Model from https://www.modelscope.cn to directory: /root/ckpts/modelscope/models/Qwen/Qwen2.5-VL-3B-Instruct
+[INFO:modelscope] Target directory already exists, skipping creation.
+[INFO:swift] Loading the model using model_dir: /root/ckpts/modelscope/models/Qwen/Qwen2___5-VL-3B-Instruct
+[INFO:swift] Setting torch_dtype: torch.bfloat16
+Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
+[INFO:swift] model_kwargs: {'device_map': 'cuda:0'}
+
+[INFO:swift] Setting image_factor: 28. You can adjust this hyperparameter through the environment variable: `IMAGE_FACTOR`.
+[INFO:swift] Setting min_pixels: 3136. You can adjust this hyperparameter through the environment variable: `MIN_PIXELS`.
+[INFO:swift] Using environment variable `MAX_PIXELS`, Setting max_pixels: 1003520.
+[INFO:swift] Setting max_ratio: 200. You can adjust this hyperparameter through the environment variable: `MAX_RATIO`.
+[INFO:swift] Using environment variable `VIDEO_MIN_PIXELS`, Setting video_min_pixels: 100352.
+[INFO:swift] Using environment variable `VIDEO_MAX_PIXELS`, Setting video_max_pixels: 602112.
+[INFO:swift] Using environment variable `VIDEO_TOTAL_PIXELS`, Setting video_total_pixels: 90316800.
+[INFO:swift] Setting frame_factor: 2. You can adjust this hyperparameter through the environment variable: `FRAME_FACTOR`.
+[INFO:swift] Setting fps: 2.0. You can adjust this hyperparameter through the environment variable: `FPS`.
+[INFO:swift] Using environment variable `FPS_MIN_FRAMES`, Setting fps_min_frames: 32.
+[INFO:swift] Using environment variable `FPS_MAX_FRAMES`, Setting fps_max_frames: 50.
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Instance_Preservation/results_2026-05-26-00:09:51_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Material_20260526_030208_gpu6.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Material', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Material', dimension=['Material'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Material/results_2026-05-26-03:02:11_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 03:02:13.381199: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779764533.399110  640752 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779764533.404588  640752 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779764533.419241  640752 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764533.419264  640752 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764533.419267  640752 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764533.419269  640752 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Material/results_2026-05-26-03:02:11_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 03:02:19,730 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Material/results_2026-05-26-03:02:11_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Mechanics_20260526_030427_gpu3.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Mechanics', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Mechanics', dimension=['Mechanics'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Mechanics/results_2026-05-26-03:04:30_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 03:04:32.729340: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779764672.747301  642258 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779764672.752910  642258 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779764672.767590  642258 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764672.767613  642258 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764672.767617  642258 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764672.767619  642258 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Mechanics/results_2026-05-26-03:04:30_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 03:04:38,862 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/57 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Mechanics/results_2026-05-26-03:04:30_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Motion_Order_Understanding_20260526_030549_gpu7.log

@@ -0,0 +1,29 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Order_Understanding', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Motion_Order_Understanding', dimension=['Motion_Order_Understanding'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Order_Understanding/results_2026-05-26-03:05:52_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 03:05:54.811498: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779764754.829979  643341 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779764754.835705  643341 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779764754.851308  643341 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764754.851340  643341 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764754.851343  643341 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764754.851346  643341 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Order_Understanding/results_2026-05-26-03:05:52_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 03:06:01,098 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+2026-05-26 03:06:06,187 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
  0%|          | 0/99 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Order_Understanding/results_2026-05-26-03:05:52_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Motion_Rationality_20260526_030809_gpu0.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Rationality', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Motion_Rationality', dimension=['Motion_Rationality'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Rationality/results_2026-05-26-03:08:11_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 03:08:14.058926: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779764894.077060  645151 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779764894.082714  645151 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779764894.097886  645151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764894.097921  645151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764894.097925  645151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779764894.097927  645151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Rationality/results_2026-05-26-03:08:11_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 03:08:20,243 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/58 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Motion_Rationality/results_2026-05-26-03:08:11_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Multi-View_Consistency_20260526_013307_gpu5.log

@@ -0,0 +1,301 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Multi-View_Consistency', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Multi-View_Consistency', dimension=['Multi-View_Consistency'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Multi-View_Consistency/results_2026-05-26-01:33:10_full_info.json
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Multi-View_Consistency/results_2026-05-26-01:33:10_full_info.json
+Using cache found in /root/ckpts/torch/hub/facebookresearch_co-tracker_main
+
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+2026-05-26 01:33:47,110 - pyscenedetect - INFO - Detecting scenes...
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+/usr/local/lib/python3.12/site-packages/torch/functional.py:539: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:3637.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
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+2026-05-26 01:44:55,093 - pyscenedetect - INFO - Detecting scenes...
+
 41%|████      | 40/97 [11:44<12:42, 13.37s/it]2026-05-26 01:44:59,013 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:45:02,958 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:45:06,919 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:45:15,085 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:45:19,316 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:45:27,696 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:45:31,520 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:45:40,272 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:45:45,021 - pyscenedetect - INFO - Detecting scenes...
+
 45%|████▌     | 44/97 [12:34<11:20, 12.84s/it]2026-05-26 01:45:49,030 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:45:52,941 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:45:57,084 - pyscenedetect - INFO - Detecting scenes...
+
 46%|████▋     | 45/97 [12:46<11:02, 12.74s/it]2026-05-26 01:46:01,543 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:46:05,543 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:46:09,693 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:46:17,644 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:46:21,492 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:46:30,187 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:46:33,931 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:46:41,812 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:46:46,239 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:46:54,148 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:46:58,230 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:47:06,257 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:47:10,197 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:47:18,219 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:47:22,193 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:47:30,411 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:47:34,402 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:47:42,726 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:47:46,673 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:47:55,172 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:47:59,551 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:48:07,465 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:48:11,933 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:48:22,870 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:48:38,117 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:48:50,197 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:48:56,262 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:49:08,085 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:49:14,346 - pyscenedetect - INFO - Detecting scenes...
+
 61%|██████    | 59/97 [16:06<11:13, 17.73s/it]2026-05-26 01:49:20,823 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:49:27,472 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:49:33,689 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:49:46,561 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:49:52,940 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:50:05,695 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:50:11,860 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:50:24,603 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:50:31,067 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:50:44,162 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:50:50,697 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:51:03,958 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:51:10,379 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:51:22,717 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:51:29,199 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:51:42,611 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:51:48,871 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:52:01,446 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:52:07,564 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:52:20,190 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:52:26,238 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:52:38,674 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:52:45,132 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:52:58,381 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:53:04,989 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:53:17,348 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:53:23,666 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:53:36,080 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:53:42,716 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:53:55,636 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:54:02,104 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:54:14,522 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:54:20,809 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:54:34,096 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:54:40,130 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:54:53,049 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:54:59,364 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:55:11,338 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:55:17,491 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:55:30,979 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:55:37,294 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:55:50,466 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:55:57,037 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:56:09,227 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:56:15,710 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:56:26,481 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:56:31,235 - pyscenedetect - INFO - Detecting scenes...
+
 85%|████████▍ | 82/97 [23:21<04:24, 17.63s/it]2026-05-26 01:56:36,063 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:56:40,742 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:56:44,651 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:56:52,739 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:56:57,037 - pyscenedetect - INFO - Detecting scenes...
+
 87%|████████▋ | 84/97 [23:46<03:15, 15.06s/it]2026-05-26 01:57:01,265 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:05,160 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:09,068 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-05-26 01:57:16,927 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:20,752 - pyscenedetect - INFO - Detecting scenes...
+
 89%|████████▊ | 86/97 [24:10<02:27, 13.38s/it]2026-05-26 01:57:24,797 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:29,013 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:33,024 - pyscenedetect - INFO - Detecting scenes...
+
 90%|████████▉ | 87/97 [24:22<02:10, 13.04s/it]2026-05-26 01:57:37,050 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:41,122 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:45,088 - pyscenedetect - INFO - Detecting scenes...
+
 91%|█████████ | 88/97 [24:34<01:54, 12.75s/it]2026-05-26 01:57:49,123 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:53,214 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:57:57,012 - pyscenedetect - INFO - Detecting scenes...
+
 92%|█████████▏| 89/97 [24:46<01:39, 12.47s/it]2026-05-26 01:58:00,925 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:05,015 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:09,576 - pyscenedetect - INFO - Detecting scenes...
+
 93%|█████████▎| 90/97 [24:58<01:27, 12.48s/it]2026-05-26 01:58:13,423 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:17,359 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:21,418 - pyscenedetect - INFO - Detecting scenes...
+
 94%|█████████▍| 91/97 [25:10<01:13, 12.29s/it]2026-05-26 01:58:25,285 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:29,198 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:33,257 - pyscenedetect - INFO - Detecting scenes...
+
 95%|█████████▍| 92/97 [25:22<01:01, 12.26s/it]2026-05-26 01:58:37,468 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:41,354 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:45,430 - pyscenedetect - INFO - Detecting scenes...
+
 96%|█████████▌| 93/97 [25:34<00:48, 12.16s/it]2026-05-26 01:58:49,380 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:53,260 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:58:57,302 - pyscenedetect - INFO - Detecting scenes...
+
 97%|█████████▋| 94/97 [25:46<00:36, 12.05s/it]2026-05-26 01:59:01,186 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:59:05,174 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:59:08,993 - pyscenedetect - INFO - Detecting scenes...
+
 98%|█████████▊| 95/97 [25:58<00:23, 11.93s/it]2026-05-26 01:59:12,847 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:59:16,741 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:59:20,512 - pyscenedetect - INFO - Detecting scenes...
+
 99%|█████████▉| 96/97 [26:09<00:11, 11.84s/it]2026-05-26 01:59:24,466 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:59:28,582 - pyscenedetect - INFO - Detecting scenes...
+2026-05-26 01:59:32,590 - pyscenedetect - INFO - Detecting scenes...
+
+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Multi-View_Consistency/results_2026-05-26-01:33:10_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/eval_Thermotics_20260526_031022_gpu1.log

@@ -0,0 +1,26 @@
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Thermotics', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/videos/Thermotics', dimension=['Thermotics'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Thermotics/results_2026-05-26-03:10:25_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-05-26 03:10:27.366942: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1779765027.384744  646951 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1779765027.390426  646951 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1779765027.405047  646951 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779765027.405072  646951 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779765027.405075  646951 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1779765027.405077  646951 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Thermotics/results_2026-05-26-03:10:25_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-05-26 03:10:33,338 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/vbench2_results/Thermotics/results_2026-05-26-03:10:25_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/logs/vbench2_requirement_py312.txt

@@ -0,0 +1,197 @@
+accelerate==1.2.1
+addict==2.4.0
+aiohappyeyeballs==2.4.4
+aiohttp==3.11.11
+aiosignal==1.3.2
+albucore==0.0.19
+albumentations==1.4.19
+annotated-types==0.7.0
+antlr4-python3-runtime==4.9.3
+anyio==4.8.0
+args==0.1.0
+async-timeout==5.0.1
+attrs==24.3.0
+av==14.0.1
+beautifulsoup4==4.12.3
+# skipped for eval-only py312 setup: bitsandbytes==0.42.0
+blis==1.2.0
+boto3==1.26.90
+botocore
+braceexpand==0.1.7
+catalogue==2.0.10
+certifi==2024.12.14
+charset-normalizer==3.4.1
+click==8.1.8
+clint==0.5.1
+cloudpickle==3.1.1
+confection==0.1.5
+contourpy==1.3.1
+cycler==0.12.1
+cymem==2.0.11
+datasets==3.2.0
+decorator==5.1.1
+decord==0.6.0
+deep-sort-realtime==1.3.2
+# skipped for eval-only py312 setup: deepspeed==0.14.4
+defusedxml==0.7.1
+diffusers==0.32.1
+dill==0.3.8
+distro==1.9.0
+docker-pycreds==0.4.0
+easydict==1.13
+einops==0.8.0
+einops-exts==0.0.4
+exceptiongroup==1.2.2
+fairscale==0.4.13
+fastapi==0.115.6
+filelock==3.13.1
+filterpy==1.4.5
+fire==0.4.0
+flowlib==0.6.6.8
+fonttools==4.55.3
+frozenlist==1.5.0
+fsspec==2024.2.0
+ftfy==6.3.1
+fvcore==0.1.5.post20221221
+gdown==5.2.0
+gitdb==4.0.12
+GitPython==3.1.44
+h11==0.14.0
+h5py==3.12.1
+hjson==3.1.0
+hpsv2==1.2.0
+httpcore==1.0.7
+httpx==0.28.1
+huggingface-hub==0.30.0
+idna==3.10
+imageio==2.37.0
+imageio-ffmpeg==0.6.0
+importlib_metadata==8.5.0
+iniconfig==2.0.0
+iopath==0.1.10
+ipdb==0.13.13
+ipython==8.32.0
+Jinja2==3.1.3
+jiter==0.8.2
+jmespath==1.0.1
+joblib==1.4.2
+kiwisolver==1.4.8
+kornia==0.5.6
+kornia_rs==0.1.8
+langcodes==3.5.0
+lazy_loader==0.4
+-e git+https://github.com/LLaVA-VL/LLaVA-NeXT@79ef45a6d8b89b92d7a8525f077c3a3a9894a87d#egg=llava
+logger==1.4
+lvis==0.5.3
+MarkupSafe==2.1.5
+matplotlib==3.10.0
+mmdet==3.0.0
+mmengine==0.10.5
+mpmath==1.3.0
+msgpack==1.1.0
+multidict==6.1.0
+multiprocess==0.70.16
+murmurhash==1.0.12
+networkx==3.2.1
+nltk==3.9.1
+numpy==1.26.3
+omegaconf==2.3.0
+onnx==1.17.0
+onnxruntime>=1.17.0,<2.0.0  # patched for Python 3.12
+open_clip_torch==2.30.0
+openai==1.59.5
+opencv-python==4.10.0.84
+opencv-python-headless==4.10.0.84
+openmim==0.3.9
+packaging==24.2
+pandas==2.2.3
+peft==0.14.0
+pillow==10.2.0
+platformdirs==4.3.6
+pluggy==1.5.0
+portalocker==3.1.1
+preshed==3.0.9
+prettytable==3.14.0
+propcache==0.2.1
+protobuf==3.20.3
+py-cpuinfo==9.0.0
+pyarrow==18.1.0
+pycocoevalcap==1.2
+pycocotools==2.0.8
+pydantic==2.10.4
+pydantic_core==2.27.2
+pyecharts==2.0.8
+pynvml==12.0.0
+pyparsing==3.2.1
+PySocks==1.7.1
+pytest==7.2.0
+pytest-split==0.8.0
+python-dateutil==2.9.0.post0
+pytz==2024.2
+PyYAML==6.0.2
+qudida==0.0.4
+regex==2024.11.6
+requests==2.32.3
+rich==13.9.4
+safetensors==0.5.2
+scenedetect==0.6.5.2
+scikit-image==0.25.0
+scikit-learn==1.6.0
+scipy==1.15.0
+seaborn==0.13.2
+selenium==4.29.0
+sentencepiece==0.2.0
+sentry-sdk==2.19.2
+setproctitle==1.3.4
+shapely==2.0.7
+simplejson==3.20.1
+six==1.17.0
+smmap==5.0.2
+snapshot-selenium==0.0.2
+sniffio==1.3.1
+soupsieve==2.6
+spacy==3.8.4
+srsly==2.5.1
+stack-data==0.6.3
+starlette==0.41.3
+sympy==1.13.1
+tabulate==0.9.0
+termcolor==2.5.0
+terminaltables==3.1.10
+thinc
+thop==0.1.1.post2209072238
+threadpoolctl==3.5.0
+tifffile==2025.1.10
+tiktoken==0.8.0
+timesformer-pytorch==0.4.1
+timm==0.4.12
+tokenizers==0.21.1
+tomli==2.2.1
+tqdm==4.67.1
+traitlets==5.14.3
+transformers==4.51.0
+# skipped for eval-only py312 setup: triton==3.1.0
+typing_extensions==4.12.2
+tzdata==2024.2
+ultralytics==8.3.68
+unicorn==2.1.1
+urllib3==1.26.15
+wandb==0.19.2
+wasabi==1.1.3
+wcwidth==0.2.13
+webdataset==0.2.100
+websocket==0.2.1
+websocket-client==1.8.0
+wordcloud==1.9.4
+xxhash==3.5.0
+yacs==0.1.8
+yapf==0.43.0
+yarl==1.18.3
+yolov5
+zipp==3.21.0
+mediapipe
+retina-face
+retinaface-pytorch
+supervision
+tf-keras
+qwen-vl-utils

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/smoke_vbench2/smoke_metadata_full_info.json

@@ -0,0 +1,11 @@
+[
+    {
+        "prompt_en": "smoke prompt",
+        "dimension": [
+            "Human_Anatomy"
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_100/smoke_videos/smoke prompt-0.mp4"
+        ]
+    }
+]

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Camera_Motion.log

@@ -0,0 +1,333 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion --dimension Camera_Motion --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Camera_Motion --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Camera_Motion', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion', dimension=['Camera_Motion'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Camera_Motion/results_2026-06-02-17:32:07_full_info.json
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Camera_Motion/results_2026-06-02-17:32:07_full_info.json
+Using cache found in /root/ckpts/torch/hub/facebookresearch_co-tracker_main
+
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+2026-06-02 17:37:43,614 - pyscenedetect - INFO - Detecting scenes...
+
 24%|██▍       | 26/108 [05:38<21:09, 15.48s/it]2026-06-02 17:37:49,195 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:37:54,328 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:00,068 - pyscenedetect - INFO - Detecting scenes...
+
 25%|██▌       | 27/108 [05:54<20:59, 15.55s/it]2026-06-02 17:38:04,911 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:09,607 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:14,832 - pyscenedetect - INFO - Detecting scenes...
+
 26%|██▌       | 28/108 [06:09<20:26, 15.33s/it]2026-06-02 17:38:19,731 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:25,194 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:29,760 - pyscenedetect - INFO - Detecting scenes...
+
 27%|██▋       | 29/108 [06:24<20:06, 15.27s/it]2026-06-02 17:38:34,852 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:40,849 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:45,900 - pyscenedetect - INFO - Detecting scenes...
+
 28%|██▊       | 30/108 [06:40<20:18, 15.63s/it]2026-06-02 17:38:51,305 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:38:56,548 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:01,183 - pyscenedetect - INFO - Detecting scenes...
+
 29%|██▊       | 31/108 [06:55<19:46, 15.41s/it]2026-06-02 17:39:06,207 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:11,549 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:16,276 - pyscenedetect - INFO - Detecting scenes...
+
 30%|██▉       | 32/108 [07:10<19:22, 15.30s/it]2026-06-02 17:39:21,243 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:26,041 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:30,963 - pyscenedetect - INFO - Detecting scenes...
+
 31%|███       | 33/108 [07:25<18:53, 15.11s/it]2026-06-02 17:39:35,911 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:41,289 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:46,558 - pyscenedetect - INFO - Detecting scenes...
+
 31%|███▏      | 34/108 [07:41<19:07, 15.50s/it]2026-06-02 17:39:52,347 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:39:56,894 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:01,562 - pyscenedetect - INFO - Detecting scenes...
+
 32%|███▏      | 35/108 [07:56<18:35, 15.28s/it]2026-06-02 17:40:07,090 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:11,938 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:17,272 - pyscenedetect - INFO - Detecting scenes...
+
 33%|███▎      | 36/108 [08:12<18:33, 15.47s/it]2026-06-02 17:40:23,004 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:28,264 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:32,870 - pyscenedetect - INFO - Detecting scenes...
+
 34%|███▍      | 37/108 [08:26<17:56, 15.16s/it]2026-06-02 17:40:37,450 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:42,805 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:48,566 - pyscenedetect - INFO - Detecting scenes...
+
 35%|███▌      | 38/108 [08:43<18:05, 15.51s/it]2026-06-02 17:40:53,783 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:40:58,767 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:03,729 - pyscenedetect - INFO - Detecting scenes...
+
 36%|███▌      | 39/108 [08:58<17:44, 15.43s/it]2026-06-02 17:41:09,019 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:13,838 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:18,772 - pyscenedetect - INFO - Detecting scenes...
+
 37%|███▋      | 40/108 [09:13<17:31, 15.47s/it]2026-06-02 17:41:24,574 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:29,322 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:34,809 - pyscenedetect - INFO - Detecting scenes...
+
 38%|███▊      | 41/108 [09:29<17:09, 15.36s/it]2026-06-02 17:41:39,698 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:44,809 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:49,591 - pyscenedetect - INFO - Detecting scenes...
+
 39%|███▉      | 42/108 [09:44<16:50, 15.30s/it]2026-06-02 17:41:54,860 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:41:59,719 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:04,381 - pyscenedetect - INFO - Detecting scenes...
+
 40%|███▉      | 43/108 [09:58<16:19, 15.06s/it]2026-06-02 17:42:09,354 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:14,078 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:18,767 - pyscenedetect - INFO - Detecting scenes...
+
 41%|████      | 44/108 [10:12<15:47, 14.81s/it]2026-06-02 17:42:23,566 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:28,106 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:33,352 - pyscenedetect - INFO - Detecting scenes...
+
 42%|████▏     | 45/108 [10:28<15:39, 14.91s/it]2026-06-02 17:42:38,734 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:44,027 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:49,954 - pyscenedetect - INFO - Detecting scenes...
+
 43%|████▎     | 46/108 [10:44<15:45, 15.25s/it]2026-06-02 17:42:54,759 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:42:59,534 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:03,559 - pyscenedetect - INFO - Detecting scenes...
+
 44%|████▎     | 47/108 [10:57<14:46, 14.53s/it]2026-06-02 17:43:07,617 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:11,734 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:15,801 - pyscenedetect - INFO - Detecting scenes...
+
 44%|████▍     | 48/108 [11:09<13:51, 13.86s/it]2026-06-02 17:43:19,924 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:24,002 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:28,057 - pyscenedetect - INFO - Detecting scenes...
+
 45%|████▌     | 49/108 [11:21<13:07, 13.35s/it]2026-06-02 17:43:32,071 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:36,063 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:40,279 - pyscenedetect - INFO - Detecting scenes...
+
 46%|████▋     | 50/108 [11:33<12:36, 13.05s/it]2026-06-02 17:43:44,422 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:48,440 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:43:52,652 - pyscenedetect - INFO - Detecting scenes...
+
 47%|████▋     | 51/108 [11:46<12:11, 12.83s/it]2026-06-02 17:43:56,746 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:00,753 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:04,833 - pyscenedetect - INFO - Detecting scenes...
+
 48%|████▊     | 52/108 [11:58<11:45, 12.60s/it]2026-06-02 17:44:08,792 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:12,748 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:16,846 - pyscenedetect - INFO - Detecting scenes...
+
 49%|████▉     | 53/108 [12:10<11:24, 12.45s/it]2026-06-02 17:44:20,895 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:25,080 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:29,275 - pyscenedetect - INFO - Detecting scenes...
+
 50%|█████     | 54/108 [12:22<11:11, 12.44s/it]2026-06-02 17:44:33,320 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:37,275 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:41,290 - pyscenedetect - INFO - Detecting scenes...
+
 51%|█████     | 55/108 [12:34<10:53, 12.33s/it]2026-06-02 17:44:45,396 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:49,348 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:44:53,303 - pyscenedetect - INFO - Detecting scenes...
+
 52%|█████▏    | 56/108 [12:46<10:36, 12.23s/it]2026-06-02 17:44:57,402 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:01,485 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:05,361 - pyscenedetect - INFO - Detecting scenes...
+
 53%|█████▎    | 57/108 [12:58<10:19, 12.14s/it]2026-06-02 17:45:09,337 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:13,346 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:17,550 - pyscenedetect - INFO - Detecting scenes...
+
 54%|█████▎    | 58/108 [13:11<10:09, 12.19s/it]2026-06-02 17:45:21,620 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:25,625 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:29,658 - pyscenedetect - INFO - Detecting scenes...
+
 55%|█████▍    | 59/108 [13:23<09:55, 12.14s/it]2026-06-02 17:45:33,663 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:37,732 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:41,787 - pyscenedetect - INFO - Detecting scenes...
+
 56%|█████▌    | 60/108 [13:35<09:42, 12.13s/it]2026-06-02 17:45:45,752 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:49,963 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:45:53,898 - pyscenedetect - INFO - Detecting scenes...
+
 56%|█████▋    | 61/108 [13:47<09:30, 12.14s/it]2026-06-02 17:45:57,912 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:01,938 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:05,868 - pyscenedetect - INFO - Detecting scenes...
+
 57%|█████▋    | 62/108 [13:59<09:14, 12.05s/it]2026-06-02 17:46:09,762 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:13,786 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:17,821 - pyscenedetect - INFO - Detecting scenes...
+
 58%|█████▊    | 63/108 [14:11<09:02, 12.05s/it]2026-06-02 17:46:21,818 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:25,767 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:29,794 - pyscenedetect - INFO - Detecting scenes...
+
 59%|█████▉    | 64/108 [14:23<08:47, 11.98s/it]2026-06-02 17:46:33,637 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:37,539 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:41,475 - pyscenedetect - INFO - Detecting scenes...
+
 60%|██████    | 65/108 [14:34<08:33, 11.94s/it]2026-06-02 17:46:45,480 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:49,390 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:46:53,380 - pyscenedetect - INFO - Detecting scenes...
+
 61%|██████    | 66/108 [14:46<08:20, 11.92s/it]2026-06-02 17:46:57,346 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:01,239 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:05,174 - pyscenedetect - INFO - Detecting scenes...
+
 62%|██████▏   | 67/108 [14:58<08:07, 11.90s/it]2026-06-02 17:47:09,191 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:13,133 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:16,983 - pyscenedetect - INFO - Detecting scenes...
+
 63%|██████▎   | 68/108 [15:10<07:54, 11.85s/it]2026-06-02 17:47:20,946 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:24,962 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:28,897 - pyscenedetect - INFO - Detecting scenes...
+
 64%|██████▍   | 69/108 [15:22<07:48, 12.01s/it]2026-06-02 17:47:33,332 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:37,726 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:42,224 - pyscenedetect - INFO - Detecting scenes...
+
 65%|██████▍   | 70/108 [15:36<07:51, 12.42s/it]2026-06-02 17:47:46,698 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:52,719 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:47:57,414 - pyscenedetect - INFO - Detecting scenes...
+
 66%|██████▌   | 71/108 [15:51<08:11, 13.28s/it]2026-06-02 17:48:01,992 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:07,142 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:11,824 - pyscenedetect - INFO - Detecting scenes...
+
 67%|██████▋   | 72/108 [16:05<08:08, 13.58s/it]2026-06-02 17:48:16,274 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:21,131 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:26,097 - pyscenedetect - INFO - Detecting scenes...
+
 68%|██████▊   | 73/108 [16:20<08:06, 13.90s/it]2026-06-02 17:48:30,902 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:35,371 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:40,103 - pyscenedetect - INFO - Detecting scenes...
+
 69%|██████▊   | 74/108 [16:34<07:51, 13.88s/it]2026-06-02 17:48:44,745 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:49,404 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:48:54,303 - pyscenedetect - INFO - Detecting scenes...
+
 69%|██████▉   | 75/108 [16:48<07:41, 13.99s/it]2026-06-02 17:48:58,999 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:03,822 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:08,490 - pyscenedetect - INFO - Detecting scenes...
+
 70%|███████   | 76/108 [17:02<07:27, 13.98s/it]2026-06-02 17:49:12,945 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:17,619 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:22,362 - pyscenedetect - INFO - Detecting scenes...
+
 71%|███████▏  | 77/108 [17:16<07:15, 14.03s/it]2026-06-02 17:49:27,105 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:31,978 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:36,568 - pyscenedetect - INFO - Detecting scenes...
+
 72%|███████▏  | 78/108 [17:30<07:01, 14.05s/it]2026-06-02 17:49:41,185 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:45,805 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:49:50,396 - pyscenedetect - INFO - Detecting scenes...
+
 73%|███████▎  | 79/108 [17:45<06:54, 14.30s/it]2026-06-02 17:49:56,086 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:00,823 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:05,454 - pyscenedetect - INFO - Detecting scenes...
+
 74%|███████▍  | 80/108 [17:59<06:35, 14.14s/it]2026-06-02 17:50:09,843 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:14,420 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:19,262 - pyscenedetect - INFO - Detecting scenes...
+
 75%|███████▌  | 81/108 [18:12<06:18, 14.01s/it]2026-06-02 17:50:23,540 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:28,164 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:32,635 - pyscenedetect - INFO - Detecting scenes...
+
 76%|███████▌  | 82/108 [18:26<06:02, 13.92s/it]2026-06-02 17:50:37,282 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:42,079 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:46,980 - pyscenedetect - INFO - Detecting scenes...
+
 77%|███████▋  | 83/108 [18:41<05:51, 14.08s/it]2026-06-02 17:50:51,718 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:50:56,476 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:01,707 - pyscenedetect - INFO - Detecting scenes...
+
 78%|███████▊  | 84/108 [18:55<05:42, 14.28s/it]2026-06-02 17:51:06,456 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:11,208 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:16,145 - pyscenedetect - INFO - Detecting scenes...
+
 79%|███████▊  | 85/108 [19:10<05:31, 14.41s/it]2026-06-02 17:51:21,167 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:26,343 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:30,958 - pyscenedetect - INFO - Detecting scenes...
+
 80%|███████▉  | 86/108 [19:25<05:19, 14.51s/it]2026-06-02 17:51:35,902 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:40,885 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:45,443 - pyscenedetect - INFO - Detecting scenes...
+
 81%|████████  | 87/108 [19:39<05:01, 14.38s/it]2026-06-02 17:51:49,981 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:55,197 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:51:59,857 - pyscenedetect - INFO - Detecting scenes...
+
 81%|████████▏ | 88/108 [19:53<04:46, 14.32s/it]2026-06-02 17:52:04,164 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:08,721 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:14,136 - pyscenedetect - INFO - Detecting scenes...
+
 82%|████████▏ | 89/108 [20:08<04:36, 14.55s/it]2026-06-02 17:52:19,256 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:23,952 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:28,714 - pyscenedetect - INFO - Detecting scenes...
+
 83%|████████▎ | 90/108 [20:22<04:19, 14.41s/it]2026-06-02 17:52:33,338 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:37,823 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:42,254 - pyscenedetect - INFO - Detecting scenes...
+
 84%|████████▍ | 91/108 [20:36<04:00, 14.16s/it]2026-06-02 17:52:46,917 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:51,456 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:52:56,255 - pyscenedetect - INFO - Detecting scenes...
+
 85%|████████▌ | 92/108 [20:50<03:48, 14.27s/it]2026-06-02 17:53:01,435 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:53:06,271 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:53:11,175 - pyscenedetect - INFO - Detecting scenes...
+
 86%|████████▌ | 93/108 [21:05<03:36, 14.41s/it]2026-06-02 17:53:16,165 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:53:20,946 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:53:26,788 - pyscenedetect - INFO - Detecting scenes...
+
 87%|████████▋ | 94/108 [21:21<03:28, 14.86s/it]2026-06-02 17:53:32,077 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:53:36,873 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:53:41,765 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 17:56:15,352 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 17:56:19,304 - pyscenedetect - INFO - Detecting scenes...
+
+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Camera_Motion/results_2026-06-02-17:32:07_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Complex_Landscape.log

@@ -0,0 +1,32 @@
+[2026-06-02 17:56:50 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape --dimension Complex_Landscape --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Landscape --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Landscape', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape', dimension=['Complex_Landscape'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Landscape/results_2026-06-02-17:56:53_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:56:55.215133: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780423015.233511 3218556 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780423015.240039 3218556 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780423015.255694 3218556 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423015.255733 3218556 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423015.255741 3218556 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423015.255748 3218556 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:56:55.260154: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Landscape/results_2026-06-02-17:56:53_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 17:57:01,563 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+2026-06-02 17:57:06,878 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
  0%|          | 0/30 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Landscape/results_2026-06-02-17:56:53_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Complex_Plot.log

@@ -0,0 +1,32 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot --dimension Complex_Plot --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Plot --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Plot', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot', dimension=['Complex_Plot'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Plot/results_2026-06-02-17:32:07_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:32:10.119018: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780421530.137097 3185811 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780421530.142703 3185811 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780421530.157875 3185811 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.157921 3185811 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.157930 3185811 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.157937 3185811 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:32:10.162149: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Plot/results_2026-06-02-17:32:07_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 17:32:17,308 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+2026-06-02 17:32:22,583 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
  0%|          | 0/60 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Plot/results_2026-06-02-17:32:07_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Composition.log

@@ -0,0 +1,29 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition --dimension Composition --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Composition --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Composition', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition', dimension=['Composition'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Composition/results_2026-06-02-17:32:08_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:32:10.343466: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780421530.362670 3185816 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780421530.368293 3185816 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780421530.383669 3185816 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.383722 3185816 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.383730 3185816 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.383737 3185816 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:32:10.387994: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Composition/results_2026-06-02-17:32:08_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 17:32:19,509 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/53 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Composition/results_2026-06-02-17:32:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Diversity.log

@@ -0,0 +1,12 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity --dimension Diversity --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Diversity --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Diversity', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity', dimension=['Diversity'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Diversity/results_2026-06-02-17:32:08_full_info.json
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Diversity/results_2026-06-02-17:32:08_full_info.json
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG19_Weights.IMAGENET1K_V1`. You can also use `weights=VGG19_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Diversity/results_2026-06-02-17:32:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Dynamic_Attribute.log

@@ -0,0 +1,29 @@
+[2026-06-02 17:40:34 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Dynamic_Attribute --dimension Dynamic_Attribute --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Attribute --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Attribute', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Dynamic_Attribute', dimension=['Dynamic_Attribute'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Attribute/results_2026-06-02-17:40:39_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:40:41.889203: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780422041.911185 3198749 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780422041.917155 3198749 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780422041.934079 3198749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422041.934127 3198749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422041.934135 3198749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422041.934142 3198749 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:40:41.939133: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Attribute/results_2026-06-02-17:40:39_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 17:40:50,497 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/91 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Attribute/results_2026-06-02-17:40:39_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Dynamic_Spatial_Relationship.log

@@ -0,0 +1,29 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Dynamic_Spatial_Relationship --dimension Dynamic_Spatial_Relationship --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Spatial_Relationship --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Spatial_Relationship', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Dynamic_Spatial_Relationship', dimension=['Dynamic_Spatial_Relationship'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Spatial_Relationship/results_2026-06-02-17:32:08_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:32:10.431748: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780421530.450118 3185817 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780421530.455869 3185817 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780421530.471189 3185817 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.471242 3185817 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.471251 3185817 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.471260 3185817 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:32:10.475542: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Spatial_Relationship/results_2026-06-02-17:32:08_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 17:32:19,500 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Dynamic_Spatial_Relationship/results_2026-06-02-17:32:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Human_Anatomy.log

@@ -0,0 +1,35 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Anatomy --dimension Human_Anatomy --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Anatomy --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Anatomy', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Anatomy', dimension=['Human_Anatomy'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Anatomy/results_2026-06-02-17:32:07_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+/usr/local/lib/python3.12/site-packages/imagecorruptions/corruptions.py:17: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
+  from pkg_resources import resource_filename
+/usr/local/lib/python3.12/site-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
+  warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Anatomy/results_2026-06-02-17:32:07_full_info.json
+2026-06-02 17:32:13.253650: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780421533.272033 3185812 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780421533.277842 3185812 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780421533.294033 3185812 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421533.294080 3185812 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421533.294088 3185812 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421533.294096 3185812 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+Loads checkpoint by local backend from path: /root/ckpts/vbench2/YOLO-World/yolo_world_v2_xl_obj365v1_goldg_cc3mlite_pretrain-5daf1395.pth
+2026-06-02 17:32:19,713 - lvis.lvis - INFO - Loading annotations.
+2026-06-02 17:32:20,530 - lvis.lvis - INFO - Creating index.
+2026-06-02 17:32:20,649 - lvis.lvis - INFO - Index created.
+Loads checkpoint by local backend from path: /root/ckpts/vbench2/YOLO-World/yolo_world_v2_xl_obj365v1_goldg_cc3mlite_pretrain-5daf1395.pth
+2026-06-02 17:32:25,967 - lvis.lvis - INFO - Loading annotations.
+2026-06-02 17:32:26,721 - lvis.lvis - INFO - Creating index.
+2026-06-02 17:32:26,848 - lvis.lvis - INFO - Index created.
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+/usr/local/lib/python3.12/site-packages/torch/functional.py:539: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:3637.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+=> merge config from vbench2/third_party/ViTDetector/simmim_finetune__vit_base__img224__800ep.yaml
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Anatomy/results_2026-06-02-17:32:07_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Human_Clothes.log

@@ -0,0 +1,29 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Clothes --dimension Human_Clothes --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Clothes --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Clothes', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Clothes', dimension=['Human_Clothes'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Clothes/results_2026-06-02-17:32:07_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:32:10.052573: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780421530.070965 3185814 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780421530.076676 3185814 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780421530.092492 3185814 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.092548 3185814 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.092556 3185814 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780421530.092563 3185814 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:32:10.096894: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Clothes/results_2026-06-02-17:32:07_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 17:32:19,497 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
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+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Clothes/results_2026-06-02-17:32:07_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Human_Identity.log

@@ -0,0 +1,14 @@
+[2026-06-02 17:32:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Identity --dimension Human_Identity --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Identity --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Identity', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Identity', dimension=['Human_Identity'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Identity/results_2026-06-02-17:32:07_full_info.json
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Identity/results_2026-06-02-17:32:07_full_info.json
+/usr/local/lib/python3.12/site-packages/torch/hub.py:870: FutureWarning: Falling back to the old format < 1.6. This support will be deprecated in favor of default zipfile format introduced in 1.6. Please redo torch.save() to save it in the new zipfile format.
+  return _legacy_zip_load(cached_file, model_dir, map_location, weights_only)
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
+  warnings.warn(msg)
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Identity/results_2026-06-02-17:32:07_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Human_Interaction.log

@@ -0,0 +1,31 @@
+[2026-06-02 17:51:04 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Interaction --dimension Human_Interaction --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Interaction --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Interaction', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Human_Interaction', dimension=['Human_Interaction'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Interaction/results_2026-06-02-17:51:08_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:51:11.223982: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780422671.244065 3212652 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780422671.250015 3212652 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780422671.266187 3212652 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422671.266256 3212652 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422671.266264 3212652 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422671.266271 3212652 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:51:11.270782: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Interaction/results_2026-06-02-17:51:08_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+
+Model Class: LlavaQwenForCausalLM
+2026-06-02 17:51:25,652 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
  0%|          | 0/100 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Human_Interaction/results_2026-06-02-17:51:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Instance_Preservation.log

@@ -0,0 +1,50 @@
+[2026-06-02 18:08:05 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Instance_Preservation --dimension Instance_Preservation --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Instance_Preservation --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Instance_Preservation', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Instance_Preservation', dimension=['Instance_Preservation'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Instance_Preservation/results_2026-06-02-18:08:08_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 18:08:11.202390: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780423691.221032 3224107 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780423691.226843 3224107 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780423691.242327 3224107 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423691.242369 3224107 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423691.242377 3224107 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423691.242385 3224107 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+[INFO:swift] Successfully registered `/nfs/ywang29/Reward_finetuning/VideoX-Fun/VBench/VBench-2.0/vbench2/third_party/Instance_detector/swift/llm/dataset/data/dataset_info.json`.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Instance_Preservation/results_2026-06-02-18:08:08_full_info.json
+[INFO:swift] Successfully loaded /root/ckpts/vbench2/instance_anomaly_detector/model/args.json.
+[INFO:swift] Downloading the model from ModelScope Hub, model_id: Qwen/Qwen2.5-VL-3B-Instruct
+Downloading Model from https://www.modelscope.cn to directory: /root/ckpts/modelscope/models/Qwen/Qwen2.5-VL-3B-Instruct
+[INFO:modelscope] Target directory already exists, skipping creation.
+[INFO:swift] Loading the model using model_dir: /root/ckpts/modelscope/models/Qwen/Qwen2___5-VL-3B-Instruct
+[INFO:swift] Setting torch_dtype: torch.bfloat16
+Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
+[INFO:swift] model_kwargs: {'device_map': 'cuda:0'}
+
+[INFO:swift] Setting image_factor: 28. You can adjust this hyperparameter through the environment variable: `IMAGE_FACTOR`.
+[INFO:swift] Setting min_pixels: 3136. You can adjust this hyperparameter through the environment variable: `MIN_PIXELS`.
+[INFO:swift] Using environment variable `MAX_PIXELS`, Setting max_pixels: 1003520.
+[INFO:swift] Setting max_ratio: 200. You can adjust this hyperparameter through the environment variable: `MAX_RATIO`.
+[INFO:swift] Using environment variable `VIDEO_MIN_PIXELS`, Setting video_min_pixels: 100352.
+[INFO:swift] Using environment variable `VIDEO_MAX_PIXELS`, Setting video_max_pixels: 602112.
+[INFO:swift] Using environment variable `VIDEO_TOTAL_PIXELS`, Setting video_total_pixels: 90316800.
+[INFO:swift] Setting frame_factor: 2. You can adjust this hyperparameter through the environment variable: `FRAME_FACTOR`.
+[INFO:swift] Setting fps: 2.0. You can adjust this hyperparameter through the environment variable: `FPS`.
+[INFO:swift] Using environment variable `FPS_MIN_FRAMES`, Setting fps_min_frames: 32.
+[INFO:swift] Using environment variable `FPS_MAX_FRAMES`, Setting fps_max_frames: 50.
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+[INFO:swift] default_system: 'You are a helpful and harmless assistant.'
+[INFO:swift] max_length: 128000
+[INFO:swift] response_prefix: ''
+[INFO:swift] agent_template: hermes
+[INFO:swift] norm_bbox: none
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Instance_Preservation/results_2026-06-02-18:08:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Material.log

@@ -0,0 +1,29 @@
+[2026-06-02 18:23:35 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Material --dimension Material --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Material --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Material', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Material', dimension=['Material'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Material/results_2026-06-02-18:23:38_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 18:23:40.871029: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780424620.889130 3239867 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780424620.895539 3239867 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780424620.910591 3239867 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780424620.910638 3239867 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780424620.910647 3239867 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780424620.910654 3239867 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 18:23:40.914862: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Material/results_2026-06-02-18:23:38_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 18:23:49,698 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/50 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Material/results_2026-06-02-18:23:38_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Mechanics.log

@@ -0,0 +1,29 @@
+[2026-06-02 18:09:05 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Mechanics --dimension Mechanics --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Mechanics --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Mechanics', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Mechanics', dimension=['Mechanics'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Mechanics/results_2026-06-02-18:09:08_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 18:09:10.222077: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780423750.239570 3225151 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780423750.244924 3225151 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780423750.259751 3225151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423750.259801 3225151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423750.259810 3225151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423750.259817 3225151 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 18:09:10.263935: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Mechanics/results_2026-06-02-18:09:08_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 18:09:17,226 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/57 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Mechanics/results_2026-06-02-18:09:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Motion_Order_Understanding.log

@@ -0,0 +1,32 @@
+[2026-06-02 17:46:34 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Motion_Order_Understanding --dimension Motion_Order_Understanding --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Order_Understanding --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Order_Understanding', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Motion_Order_Understanding', dimension=['Motion_Order_Understanding'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+File exists: /root/ckpts/vbench2/Qwen/Qwen2.5-7B-Instruct
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Order_Understanding/results_2026-06-02-17:46:37_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 17:46:39.873618: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780422399.893768 3208155 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780422399.899715 3208155 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780422399.914814 3208155 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422399.914855 3208155 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422399.914863 3208155 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780422399.914871 3208155 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 17:46:39.919496: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Order_Understanding/results_2026-06-02-17:46:37_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 17:46:46,379 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+2026-06-02 17:46:51,462 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Order_Understanding/results_2026-06-02-17:46:37_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Motion_Rationality.log

@@ -0,0 +1,29 @@
+[2026-06-02 18:01:05 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Motion_Rationality --dimension Motion_Rationality --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Rationality --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Rationality', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Motion_Rationality', dimension=['Motion_Rationality'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Rationality/results_2026-06-02-18:01:08_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 18:01:11.648696: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780423271.669638 3220485 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780423271.676319 3220485 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780423271.695330 3220485 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423271.695447 3220485 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423271.695458 3220485 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780423271.695467 3220485 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 18:01:11.700567: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Rationality/results_2026-06-02-18:01:08_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 18:01:19,116 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/58 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Motion_Rationality/results_2026-06-02-18:01:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Multi-View_Consistency.log

@@ -0,0 +1,302 @@
+[2026-06-02 18:23:50 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Multi-View_Consistency --dimension Multi-View_Consistency --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Multi-View_Consistency --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Multi-View_Consistency', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Multi-View_Consistency', dimension=['Multi-View_Consistency'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Multi-View_Consistency/results_2026-06-02-18:23:54_full_info.json
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Multi-View_Consistency/results_2026-06-02-18:23:54_full_info.json
+Using cache found in /root/ckpts/torch/hub/facebookresearch_co-tracker_main
+
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+2026-06-02 18:24:03,930 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:24:08,626 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:24:18,215 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:24:22,925 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:24:32,166 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:24:36,828 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:24:46,425 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:24:51,033 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:25:00,817 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:25:06,137 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:25:15,448 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:25:20,497 - pyscenedetect - INFO - Detecting scenes...
+
  6%|▌         | 6/97 [01:26<21:52, 14.42s/it]2026-06-02 18:25:25,048 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:25:29,595 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:25:34,276 - pyscenedetect - INFO - Detecting scenes...
+
  7%|▋         | 7/97 [01:40<21:28, 14.31s/it]2026-06-02 18:25:39,146 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:25:43,972 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:25:49,002 - pyscenedetect - INFO - Detecting scenes...
+/usr/local/lib/python3.12/site-packages/torch/functional.py:539: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:3637.)
+  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
+
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+2026-06-02 18:26:03,823 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:26:09,227 - pyscenedetect - INFO - Detecting scenes...
+
  9%|▉         | 9/97 [02:21<25:50, 17.62s/it]2026-06-02 18:26:20,189 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:26:24,417 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:26:29,977 - pyscenedetect - INFO - Detecting scenes...
+
 10%|█         | 10/97 [02:36<24:09, 16.66s/it]2026-06-02 18:26:34,683 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:26:39,105 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:26:43,874 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:26:51,767 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:26:55,716 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:27:03,715 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:27:07,664 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:27:15,555 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:27:19,608 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:27:27,340 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:27:31,373 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:27:39,003 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:27:46,118 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:27:53,704 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:27:58,498 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:28:06,304 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:28:10,192 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:28:21,854 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:28:25,860 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:28:33,573 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:28:37,487 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:28:49,710 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:28:53,472 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:29:01,162 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:29:04,955 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:29:12,799 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:29:16,803 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:29:25,410 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:29:29,314 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:29:37,285 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:29:41,171 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:29:53,126 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:29:57,042 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:30:08,710 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:30:12,549 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:30:20,450 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:30:24,361 - pyscenedetect - INFO - Detecting scenes...
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+2026-06-02 18:30:32,017 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:30:35,954 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:30:43,828 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:30:47,690 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:30:55,496 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:30:59,425 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:31:12,383 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:31:22,790 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:31:32,243 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:31:36,666 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:31:45,953 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:31:57,492 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:32:07,028 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:32:11,482 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:32:20,408 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:32:31,273 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:32:40,798 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:32:53,068 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:33:02,055 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:33:07,061 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:33:15,813 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:33:20,125 - pyscenedetect - INFO - Detecting scenes...
+
 40%|████      | 39/97 [09:32<17:16, 17.87s/it]2026-06-02 18:33:31,036 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:33:35,708 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:33:40,642 - pyscenedetect - INFO - Detecting scenes...
+
 41%|████      | 40/97 [09:46<15:53, 16.73s/it]2026-06-02 18:33:45,077 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:33:49,852 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:33:59,392 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:34:13,872 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:34:18,478 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:34:30,402 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:34:34,923 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:34:44,387 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:34:48,796 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:34:58,020 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:35:02,454 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:35:16,776 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:35:21,323 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:35:30,642 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:35:40,755 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:35:50,232 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:01,010 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:36:10,236 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:14,723 - pyscenedetect - INFO - Detecting scenes...
+
 51%|█████     | 49/97 [12:20<13:30, 16.89s/it]2026-06-02 18:36:19,553 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:24,075 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:29,414 - pyscenedetect - INFO - Detecting scenes...
+
 52%|█████▏    | 50/97 [12:35<12:43, 16.23s/it]2026-06-02 18:36:34,259 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:38,710 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:43,239 - pyscenedetect - INFO - Detecting scenes...
+
 53%|█████▎    | 51/97 [12:49<11:50, 15.45s/it]2026-06-02 18:36:47,880 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:52,266 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:36:56,637 - pyscenedetect - INFO - Detecting scenes...
+
 54%|█████▎    | 52/97 [13:02<11:01, 14.70s/it]2026-06-02 18:37:00,824 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:37:05,095 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:37:09,522 - pyscenedetect - INFO - Detecting scenes...
+
 55%|█████▍    | 53/97 [13:16<10:36, 14.46s/it]2026-06-02 18:37:14,725 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:37:19,639 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:37:24,178 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:37:37,023 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:37:40,716 - pyscenedetect - INFO - Detecting scenes...
+
 57%|█████▋    | 55/97 [13:45<10:02, 14.35s/it]2026-06-02 18:37:44,502 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:37:48,173 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:37:51,830 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:37:59,477 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:38:07,509 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:46:33,876 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:46:38,199 - pyscenedetect - INFO - Detecting scenes...
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+2026-06-02 18:46:47,060 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:46:51,268 - pyscenedetect - INFO - Detecting scenes...
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+2026-06-02 18:47:04,777 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:47:09,498 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:47:18,514 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:47:22,704 - pyscenedetect - INFO - Detecting scenes...
+
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+2026-06-02 18:47:31,914 - pyscenedetect - INFO - Detecting scenes...
+2026-06-02 18:47:36,237 - pyscenedetect - INFO - Detecting scenes...
+
+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Multi-View_Consistency/results_2026-06-02-18:23:54_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/Thermotics.log

@@ -0,0 +1,29 @@
+[2026-06-02 18:21:05 UTC] COMMAND /usr/local/bin/python -u evaluate.py --videos_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Thermotics --dimension Thermotics --output_path /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Thermotics --full_json_dir /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json --mode vbench_standard
+args: Namespace(output_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Thermotics', full_json_dir='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_selected_info.json', videos_path='/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Thermotics', dimension=['Thermotics'], load_ckpt_from_local=None, read_frame=None, mode='vbench_standard', prompt='None', prompt_file=None, category=None, imaging_quality_preprocessing_mode='longer')
+start evaluation
+File exists: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+Evaluation meta data saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Thermotics/results_2026-06-02-18:21:08_full_info.json
+/usr/local/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
+  warnings.warn(
+2026-06-02 18:21:11.466408: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:467] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
+WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
+E0000 00:00:1780424471.486208 3237517 cuda_dnn.cc:8579] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
+E0000 00:00:1780424471.492155 3237517 cuda_blas.cc:1407] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
+W0000 00:00:1780424471.510963 3237517 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780424471.511070 3237517 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780424471.511087 3237517 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+W0000 00:00:1780424471.511120 3237517 computation_placer.cc:177] computation placer already registered. Please check linkage and avoid linking the same target more than once.
+2026-06-02 18:21:11.518327: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
+To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
+cur_full_info_path: /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Thermotics/results_2026-06-02-18:21:08_full_info.json
+Loaded LLaVA model: /root/ckpts/vbench2/lmms-lab/LLaVA-Video-7B-Qwen2
+You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.
+Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.
+Loading vision tower: google/siglip-so400m-patch14-384
+2026-06-02 18:21:18,813 - accelerate.utils.modeling - INFO - We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+
+Model Class: LlavaQwenForCausalLM
+
  0%|          | 0/50 [00:00<?, ?it/s]The attention mask is not set and cannot be inferred from input because pad token is same as eos token. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
+
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+Evaluation results saved to /nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Thermotics/results_2026-06-02-18:21:08_eval_results.json
+done

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/logs/vbench2_parallel/parallel_status.json

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outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Camera_Motion/results_2026-06-02-17:32:07_eval_results.json

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outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Camera_Motion/results_2026-06-02-17:32:07_full_info.json

@@ -0,0 +1,1298 @@
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+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Garden, zoom in.-1.mp4",
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+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Garden, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Garden, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Garden, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Garden.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Garden.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Garden.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Garden.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Garden, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Garden, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Garden, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Garden, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Pyramid, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Pyramid, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Pyramid, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Pyramid, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Pyramid, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Pyramid, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Pyramid, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Pyramid, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Pyramid, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Pyramid, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Pyramid.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Pyramid.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Pyramid.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Pyramid.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Pyramid, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Pyramid, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Mount Fuji, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Mount Fuji, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Mount Fuji, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Mount Fuji, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Mount Fuji, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Mount Fuji, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Mount Fuji, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Mount Fuji, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Mount Fuji, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Mount Fuji, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Mount Fuji.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Mount Fuji.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Mount Fuji.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Mount Fuji.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Mount Fuji, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Mount Fuji, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Blue Lagoon, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Blue Lagoon, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Blue Lagoon, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Blue Lagoon, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Blue Lagoon, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Blue Lagoon, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Blue Lagoon, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Blue Lagoon, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Blue Lagoon, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Blue Lagoon, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Blue Lagoon.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Blue Lagoon.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Blue Lagoon.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Blue Lagoon.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Blue Lagoon, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Blue Lagoon, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Table, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Table, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Table, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Table, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Table, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Table, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Table, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Table, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Table, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Table, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Table.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Table.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Table.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Table.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Table, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Table, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Alhambra, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Alhambra, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Alhambra, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Alhambra, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Alhambra, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Alhambra, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Alhambra, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Alhambra, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Alhambra, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Alhambra, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Alhambra.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Alhambra.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Alhambra.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Alhambra.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Alhambra, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Alhambra, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Vase, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Vase, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Vase, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Vase, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Vase, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Vase, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Vase, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Vase, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Vase, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Vase, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Vase.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Vase.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Vase.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Vase.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Vase, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Vase, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Burj Khalifa, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Burj Khalifa, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Burj Khalifa, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Burj Khalifa, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Burj Khalifa, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Burj Khalifa, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Burj Khalifa, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Burj Khalifa, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Burj Khalifa, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Burj Khalifa, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Burj Khalifa.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Burj Khalifa.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Burj Khalifa.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Burj Khalifa.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Burj Khalifa, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Burj Khalifa, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Machu Picchu, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Machu Picchu, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Machu Picchu, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Machu Picchu, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Machu Picchu, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Machu Picchu, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Machu Picchu, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Machu Picchu, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Machu Picchu, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Machu Picchu, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Machu Picchu.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Machu Picchu.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Machu Picchu.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Machu Picchu.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Machu Picchu, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Machu Picchu, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Forbidden City, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Forbidden City, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Forbidden City, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Forbidden City, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Forbidden City, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Forbidden City, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Forbidden City, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Forbidden City, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Forbidden City, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Forbidden City, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Forbidden City.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Forbidden City.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Forbidden City.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Forbidden City.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Forbidden City, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Forbidden City, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Laptop, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Laptop, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Laptop, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Laptop, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Laptop, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Laptop, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Laptop, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Laptop, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Laptop, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Laptop, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Laptop.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Laptop.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Laptop.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Laptop.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Laptop, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Laptop, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Watch, zoom in.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_in",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, zoom in.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, zoom in.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, zoom in.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Watch, zoom out.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "zoom_out",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, zoom out.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, zoom out.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, zoom out.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Watch, tilt up.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_up",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, tilt up.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, tilt up.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, tilt up.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Watch, tilt down.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "tilt_down",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, tilt down.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, tilt down.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, tilt down.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Watch, pan left.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_left",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, pan left.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, pan left.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, pan left.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Watch, pan right.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "pan_right",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, pan right.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, pan right.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Watch, pan right.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera movement is static. Watch, static shot, the camera is fixed.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "static",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Watch, static shot, the camera is fixed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Watch, static shot, the camera is fixed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera movement is static. Watch, static shot, the camera is fixed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera orbits around in a clockwise direction. Watch.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "orbits",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Watch.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Watch.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/The camera orbits around in a clockwise direction. Watch.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "Wristwatch, First-person perspective, oblique shot, airborne dolly movement.",
+        "dimension": [
+            "Camera_Motion"
+        ],
+        "auxiliary_info": "oblique",
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Wristwatch, First-person perspective, oblique shot, airborne dolly movement.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Wristwatch, First-person perspective, oblique shot, airborne dolly movement.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Camera_Motion/Wristwatch, First-person perspective, oblique shot, airborne dolly movement.-2.mp4"
+        ]
+    }
+]

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Landscape/results_2026-06-02-17:56:53_eval_results.json

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+                "video_results": 0.4
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+                "video_results": 0.0
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+            {
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+                "video_results": 0.2
+            }
+        ]
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+}

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Landscape/results_2026-06-02-17:56:53_full_info.json

@@ -0,0 +1,542 @@
+[
+    {
+        "prompt_en": "The camera starts at the top of the forest, where thick morning mist drifts between the treetops, with sunlight filtering through the leaves and casting dappled spots of light, the air fresh and moist. As the camera slowly moves downward, dewdrops glisten on the leaves, a gentle breeze rustling the leaves, making a soft, soothing sound. The camera moves along a woodland path, occasionally capturing a squirrel leaping between trees, its agile figure darting across the branches. The shot continues, eventually arriving at a tranquil lake. The surface of the water is like a mirror, reflecting the towering trees and distant mountains. In the distance, a heron takes off from the lakeshore, breaking the stillness of the water, ripples forming as the bird skims the surface. The camera follows its flight and gradually pulls back, showing the entire serene beauty of the lake.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts at the top of the forest, where thick morning mist drifts between the treetops, with sunlight filtering through the leaves and casting dappled spots of light, the air fresh and moist.",
+            "As the camera slowly moves downward, dewdrops glisten on the leaves, a gentle breeze rustling the leaves, making a soft, soothing sound.",
+            "The camera moves along a woodland path, occasionally capturing a squirrel leaping between trees, its agile figure darting across the branches.",
+            "The shot continues, eventually arriving at a tranquil lake. The surface of the water is like a mirror, reflecting the towering trees and distant mountains.",
+            "In the distance, a heron takes off from the lakeshore, breaking the stillness of the water, ripples forming as the bird skims the surface. The camera follows its flight and gradually pulls back, showing the entire serene beauty of the lake."
+        ],
+        "video_list": [
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+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at the top of the forest, where thick morning mist drifts between the treetops, with sunlight filtering through the leaves and casting dappled spots of light, the-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at the top of the forest, where thick morning mist drifts between the treetops, with sunlight filtering through the leaves and casting dappled spots of light, the-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The scene opens in the vast desert, with the camera angled low over the sand, fine grains drifting in the gentle breeze, the undulating dunes in the distance bathed in a faint orange glow. As the camera moves forward, the outlines of the dunes become clearer, and the early morning sky begins to glow with warm hues, transitioning the desert from deep brown to golden yellow. The scene cuts to the top of a dune, where the camera follows a caravan of camels making their way across the endless desert, their bells jingling softly in the wind. The first rays of the sun break through the gaps between the dunes, casting golden light on the sand, as the desert comes to life, glowing in the morning's embrace. Finally, the camera pulls back, revealing the vast expanse of the desert merging with the horizon, the sun climbing higher, illuminating the entire landscape in a mystical, warm glow.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The scene opens in the vast desert, with the camera angled low over the sand, fine grains drifting in the gentle breeze, the undulating dunes in the distance bathed in a faint orange glow.",
+            "As the camera moves forward, the outlines of the dunes become clearer, and the early morning sky begins to glow with warm hues, transitioning the desert from deep brown to golden yellow.",
+            "The scene cuts to the top of a dune, where the camera follows a caravan of camels making their way across the endless desert, their bells jingling softly in the wind.",
+            "The first rays of the sun break through the gaps between the dunes, casting golden light on the sand, as the desert comes to life, glowing in the morning's embrace.",
+            "Finally, the camera pulls back, revealing the vast expanse of the desert merging with the horizon, the sun climbing higher, illuminating the entire landscape in a mystical, warm glow."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The scene opens in the vast desert, with the camera angled low over the sand, fine grains drifting in the gentle breeze, the undulating dunes in the distance bathed in a faint oran-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The scene opens in the vast desert, with the camera angled low over the sand, fine grains drifting in the gentle breeze, the undulating dunes in the distance bathed in a faint oran-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The scene opens in the vast desert, with the camera angled low over the sand, fine grains drifting in the gentle breeze, the undulating dunes in the distance bathed in a faint oran-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins in a vast grassland, where the lush green grass sways gently in the breeze, the air fresh, and the soft rustling of the leaves fills the space. As the camera moves forward, the grass turns from a vibrant green to golden hues, sunlight pouring over the land, the textures of the grass becoming more pronounced in the play of light and shadow. In the distance, a herd of cattle grazes peacefully. Their figures become clearer as the camera moves closer, occasionally lifting their heads and gazing into the distance. The scene shifts to a lakeshore, where the lake reflects the sky, grasslands, and distant mountains, the water clear and calm, with gentle ripples created by the breeze. Finally, the camera pulls back, following the herd as they move off into the distance, the vastness of the grassland merging with the expansive sky, creating a feeling of peaceful openness.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins in a vast grassland, where the lush green grass sways gently in the breeze, the air fresh, and the soft rustling of the leaves fills the space.",
+            "As the camera moves forward, the grass turns from a vibrant green to golden hues, sunlight pouring over the land, the textures of the grass becoming more pronounced in the play of light and shadow.",
+            "In the distance, a herd of cattle grazes peacefully. Their figures become clearer as the camera moves closer, occasionally lifting their heads and gazing into the distance.",
+            "The scene shifts to a lakeshore, where the lake reflects the sky, grasslands, and distant mountains, the water clear and calm, with gentle ripples created by the breeze.",
+            "Finally, the camera pulls back, following the herd as they move off into the distance, the vastness of the grassland merging with the expansive sky, creating a feeling of peaceful openness."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins in a vast grassland, where the lush green grass sways gently in the breeze, the air fresh, and the soft rustling of the leaves fills the space. As the camera move-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins in a vast grassland, where the lush green grass sways gently in the breeze, the air fresh, and the soft rustling of the leaves fills the space. As the camera move-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins in a vast grassland, where the lush green grass sways gently in the breeze, the air fresh, and the soft rustling of the leaves fills the space. As the camera move-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts at a tranquil coastline, where the waves gently crash against the rocks, the salty sea breeze fills the air, and the atmosphere feels fresh and alive. As the camera moves forward, the surface of the water glistens with golden light from the setting sun, the sound of the waves becoming more distinct as the tide retreats, revealing a moist sandy shore. The scene shifts to the beach, where a few seagulls peck at the sand, occasionally flying up and breaking the stillness of the sky. The sun slowly sinks below the horizon, painting the sky in vibrant shades of orange and red, as the golden light on the water fades, and the waves begin to intensify. Finally, the camera pulls back, and the entire coastline fades into twilight, with the sea and sky blending together in a serene, solitary embrace.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts at a tranquil coastline, where the waves gently crash against the rocks, the salty sea breeze fills the air, and the atmosphere feels fresh and alive.",
+            "As the camera moves forward, the surface of the water glistens with golden light from the setting sun, the sound of the waves becoming more distinct as the tide retreats, revealing a moist sandy shore.",
+            "The scene shifts to the beach, where a few seagulls peck at the sand, occasionally flying up and breaking the stillness of the sky.",
+            "The sun slowly sinks below the horizon, painting the sky in vibrant shades of orange and red, as the golden light on the water fades, and the waves begin to intensify.",
+            "Finally, the camera pulls back, and the entire coastline fades into twilight, with the sea and sky blending together in a serene, solitary embrace."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a tranquil coastline, where the waves gently crash against the rocks, the salty sea breeze fills the air, and the atmosphere feels fresh and alive. As the came-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a tranquil coastline, where the waves gently crash against the rocks, the salty sea breeze fills the air, and the atmosphere feels fresh and alive. As the came-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a tranquil coastline, where the waves gently crash against the rocks, the salty sea breeze fills the air, and the atmosphere feels fresh and alive. As the came-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera moves through the vast expanse of the universe, where stars twinkle against the dark backdrop, the Milky Way arcing like a silver river across the sky. Nebulae slowly rotate in the distance, emitting an ethereal glow. The camera continues forward, entering a massive galaxy where stars and planets interlace. As the camera draws closer, a vast nebula unfolds, its clouds swirling in silent space, shades of purple and deep blue resembling a cosmic storm. Further in, a planet slowly spins in the void, its surface covered in molten volcanoes and frozen ice plains. A comet streaks across the sky, its brilliant tail illuminating the darkness. Finally, the camera pulls back, revealing the endless expanse of the universe, with galaxies suspended in the vast void between them.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera moves through the vast expanse of the universe, where stars twinkle against the dark backdrop.",
+            "The Milky Way arcing like a silver river across the sky.",
+            "Nebulae slowly rotate in the distance, emitting an ethereal glow.",
+            "A massive nebula unfolds, its clouds swirling in silent space, shades of purple and deep blue resembling a cosmic storm.",
+            "A planet slowly spins in the void, its surface covered in molten volcanoes and frozen ice plains. A comet streaks across the sky, its brilliant tail illuminating the darkness."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera moves through the vast expanse of the universe, where stars twinkle against the dark backdrop, the Milky Way arcing like a silver river across the sky. Nebulae slowly ro-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera moves through the vast expanse of the universe, where stars twinkle against the dark backdrop, the Milky Way arcing like a silver river across the sky. Nebulae slowly ro-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera moves through the vast expanse of the universe, where stars twinkle against the dark backdrop, the Milky Way arcing like a silver river across the sky. Nebulae slowly ro-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts with an aerial view of a vibrant sea of flowers, with multicolored tulips, cherry blossoms, wisteria, and daisies interwoven, creating a beautiful tapestry. The breeze rustles the petals, and the air is filled with the fresh scent of flowers. The camera moves to a woodland path, where towering trees stretch upwards, their new leaves just budding in the springtime. A few small birds flit from branch to branch, their cheerful calls echoing through the forest. Continuing forward, the scene shifts to a serene pond, its surface like glass, reflecting the surrounding trees and sky. A few dragonflies skim across the water, occasionally flying into the frame and landing on the lush grass nearby. The camera tilts upwards, revealing sunlight filtering through the treetops, casting warm rays on the forest floor, where the shadows of the trees dance across the earth.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts with an aerial view of a vibrant sea of flowers, with multicolored tulips, cherry blossoms, wisteria, and daisies interwoven, creating a beautiful tapestry.",
+            "The breeze rustles the petals, and the air is filled with the fresh scent of flowers.",
+            "The camera moves to a woodland path, where towering trees stretch upwards, their new leaves just budding in the springtime.",
+            "A few small birds flit from branch to branch, their cheerful calls echoing through the forest.",
+            "The camera shifts to a serene pond, its surface like glass, reflecting the surrounding trees and sky, while dragonflies skim the surface."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of a vibrant sea of flowers, with multicolored tulips, cherry blossoms, wisteria, and daisies interwoven, creating a beautiful tapestry. The b-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of a vibrant sea of flowers, with multicolored tulips, cherry blossoms, wisteria, and daisies interwoven, creating a beautiful tapestry. The b-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of a vibrant sea of flowers, with multicolored tulips, cherry blossoms, wisteria, and daisies interwoven, creating a beautiful tapestry. The b-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera enters a golden autumn forest, where the leaves have turned brilliant shades from gold to orange-red. A few leaves drift down with the wind. Sunlight filters through the gaps in the trees, casting dappled spots of light on the forest floor. The scene shifts to a field outside the forest, where ripe rice stalks sway in the breeze, their golden heads bowing under the weight of the grain. A few wild rabbits dart between the rows, occasionally pausing to nibble on the grass. The camera moves again to a winding stream, its water crystal clear, with a few fallen leaves floating gently on the surface. A soft breeze ripples the water, creating subtle waves. Continuing onward, the scene shifts to a hillside, where the distant mountain range is bathed in the warm light of autumn, and a village can be seen nestled at the foot of the mountains, with smoke curling from chimneys.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera enters a golden autumn forest, where the leaves have turned brilliant shades from gold to orange-red.",
+            "A few leaves drift down with the wind, and sunlight filters through the gaps in the trees, casting dappled spots of light on the forest floor.",
+            "The scene shifts to a field outside the forest, where ripe rice stalks sway in the breeze, their golden heads bowing under the weight of the grain.",
+            "A few wild rabbits dart between the rows, occasionally pausing to nibble on the grass.",
+            "The camera shifts to a winding stream, its water crystal clear, with a few fallen leaves floating gently on the surface, creating subtle waves."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera enters a golden autumn forest, where the leaves have turned brilliant shades from gold to orange-red. A few leaves drift down with the wind. Sunlight filters through the-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera enters a golden autumn forest, where the leaves have turned brilliant shades from gold to orange-red. A few leaves drift down with the wind. Sunlight filters through the-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera enters a golden autumn forest, where the leaves have turned brilliant shades from gold to orange-red. A few leaves drift down with the wind. Sunlight filters through the-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts with an aerial view of snow-capped mountains, their peaks gleaming with silver under the sunlight. Glaciers wind their way through the landscape, extending into the distance. A cold wind stirs the air, and snowflakes dance in the breeze, the ground sparkling as the snow reflects the intense light. The camera moves downward into a valley, where snow-covered trees stand silent and still, their branches heavy with frost. Moving forward, the camera arrives at a rushing glacial river, its waters tumbling over icy rocks, with chunks of ice floating along the surface. As the camera progresses, the distant mountain range disappears into the clouds, only the snow-capped peaks faintly visible through the mist. Finally, the camera pulls back, revealing the vastness of the snow-covered landscape, where the ice and sky merge into a frozen, serene vista.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts with an aerial view of snow-capped mountains, their peaks gleaming with silver under the sunlight.",
+            "Glaciers wind their way through the landscape, extending into the distance.",
+            "A cold wind stirs the air, and snowflakes dance in the breeze, the ground sparkling as the snow reflects the intense light.",
+            "The camera moves downward into a valley, where snow-covered trees stand silent and still, their branches heavy with frost.",
+            "The camera arrives at a rushing glacial river, its waters tumbling over icy rocks, with chunks of ice floating along the surface."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of snow-capped mountains, their peaks gleaming with silver under the sunlight. Glaciers wind their way through the landscape, extending into t-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of snow-capped mountains, their peaks gleaming with silver under the sunlight. Glaciers wind their way through the landscape, extending into t-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of snow-capped mountains, their peaks gleaming with silver under the sunlight. Glaciers wind their way through the landscape, extending into t-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera gently descends, passing through the layers of waves, entering the deep underwater world. The surrounding coral reefs are vibrant and colorful, with a variety of tropical fish darting between them, shimmering like a rainbow. The camera moves forward to reveal a graceful seahorse, slowly gliding through the seaweed, its tail gently swaying in harmony with its environment. Next, a few sea turtles swim across the frame, moving leisurely through the clear waters, gracefully passing over the corals and rocks. As the camera continues downward, rays of sunlight filter through the surface, casting dappled spots of light onto the ocean floor, illuminating the sand and drifting seaweed. The camera turns toward a school of small silver fish, darting in unison, moving swiftly through the seaweed and coral, like streaks of silver lightning. Finally, the camera delves deeper into a mysterious underwater cave, where the walls are covered in moss and the entrance reflects faint light. Starfish crawl slowly across the rocks, and the cave emanates a dark, enigmatic atmosphere.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera gently descends, passing through the layers of waves, entering the deep underwater world.",
+            "The surrounding coral reefs are vibrant and colorful, with a variety of tropical fish darting between them, shimmering like a rainbow.",
+            "The camera moves forward to reveal a graceful seahorse, slowly gliding through the seaweed, its tail gently swaying.",
+            "A few sea turtles swim across the frame, moving leisurely through the clear waters, gracefully passing over the corals and rocks.",
+            "The camera delves deeper into a mysterious underwater cave, where the walls are covered in moss and the entrance reflects faint light."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera gently descends, passing through the layers of waves, entering the deep underwater world. The surrounding coral reefs are vibrant and colorful, with a variety of tropica-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera gently descends, passing through the layers of waves, entering the deep underwater world. The surrounding coral reefs are vibrant and colorful, with a variety of tropica-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera gently descends, passing through the layers of waves, entering the deep underwater world. The surrounding coral reefs are vibrant and colorful, with a variety of tropica-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts with a high-altitude view of an endless ice plain, where the snow-covered land stretches out as far as the eye can see. The cold air gives everything a still, pristine quality. As the camera moves downward, the snow is marked with animal tracks, and a light breeze lifts tiny snowflakes into the air. As the camera progresses, the night sky grows clearer, and the stunning aurora borealis begins to dance across the heavens, with green, purple, and blue light bands weaving together in mesmerizing patterns. The camera follows the shifting aurora, where the lights contrast with the white snow, creating a magical and mysterious atmosphere. Finally, the camera pulls back, revealing the vast ice plains interspersed with the aurora, as the snow and lights mirror each other in a fantastical, dreamlike landscape.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts with a high-altitude view of an endless ice plain, where the snow-covered land stretches out as far as the eye can see.",
+            "The cold air gives everything a still, pristine quality, with animal tracks in the snow.",
+            "The night sky becomes clearer, and the aurora borealis begins to dance across the heavens in vibrant colors.",
+            "The camera follows the shifting aurora, contrasting with the white snow and creating a magical atmosphere.",
+            "The camera pulls back, revealing the vast ice plains interspersed with the aurora, as snow and lights mirror each other."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with a high-altitude view of an endless ice plain, where the snow-covered land stretches out as far as the eye can see. The cold air gives everything a still, pri-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with a high-altitude view of an endless ice plain, where the snow-covered land stretches out as far as the eye can see. The cold air gives everything a still, pri-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with a high-altitude view of an endless ice plain, where the snow-covered land stretches out as far as the eye can see. The cold air gives everything a still, pri-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera hovers above an active volcano, with smoke billowing from the summit, and flashes of fire erupting periodically. The camera moves closer, revealing the volcanic crater constantly spewing hot lava, which flows like fiery rivers, illuminating the surrounding black rocks. The camera shifts to the rolling lava flows down the mountain, which weave their way like red rivers, steam rising from the molten rock, and the air is thick with the scent of sulfur. The camera continues downward, focusing on fissures in the rocks, from which heat rises, and small pieces of lava occasionally break off, glowing brightly. The camera moves to the foot of the volcano, where the lava flows into a barren plain, creating a scorched surface devoid of life. Finally, the camera pulls back, showing the eruption in all its grandeur, with the lava contrasting sharply against the dark night sky, filling the scene with power and awe.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera hovers above an active volcano, with smoke billowing from the summit, and flashes of fire erupting periodically.",
+            "The volcanic crater constantly spews hot lava, which flows like fiery rivers, illuminating the black rocks.",
+            "The camera shifts to the rolling lava flows, steam rising from the molten rock, and the air thick with the scent of sulfur.",
+            "The camera focuses on fissures in the rocks, from which heat rises, and small pieces of lava occasionally break off, glowing brightly.",
+            "The camera moves to the foot of the volcano, where the lava flows into a barren plain, creating a scorched surface."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera hovers above an active volcano, with smoke billowing from the summit, and flashes of fire erupting periodically. The camera moves closer, revealing the volcanic crater c-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera hovers above an active volcano, with smoke billowing from the summit, and flashes of fire erupting periodically. The camera moves closer, revealing the volcanic crater c-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera hovers above an active volcano, with smoke billowing from the summit, and flashes of fire erupting periodically. The camera moves closer, revealing the volcanic crater c-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera slowly descends into an ancient cave, where the rock walls are covered in moss and lichen. The air is damp, and water drips from the ceiling, creating a rhythmic sound. The camera shifts to reveal a massive stalactite hanging from the ceiling, sharp like a blade. The camera moves deeper into the cave, arriving at an underground lake, its deep blue waters reflecting the stalactites and stone columns. A few bats fly by, breaking the stillness of the lake's surface. Finally, the camera pulls back to reveal the vastness of the cave, with the lake, columns, and stalactites blending together to create a mysterious, dreamlike underground world.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera slowly descends into an ancient cave, where the rock walls are covered in moss and lichen.",
+            "Water drips from the ceiling, creating a rhythmic sound, and the air is damp.",
+            "A massive stalactite hangs from the ceiling, sharp like a blade.",
+            "The camera moves deeper into the cave, arriving at an underground lake, its deep blue waters reflecting the stalactites and stone columns.",
+            "Bats fly by, breaking the stillness of the lake's surface, as the camera pulls back to reveal the vast underground world."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera slowly descends into an ancient cave, where the rock walls are covered in moss and lichen. The air is damp, and water drips from the ceiling, creating a rhythmic sound. -0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera slowly descends into an ancient cave, where the rock walls are covered in moss and lichen. The air is damp, and water drips from the ceiling, creating a rhythmic sound. -1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera slowly descends into an ancient cave, where the rock walls are covered in moss and lichen. The air is damp, and water drips from the ceiling, creating a rhythmic sound. -2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins under a heavy blanket of clouds, with cold winds howling across the snow-covered plains. The world is blanketed in pure white snow, with distant mountains barely visible, obscured by swirling snow and ice. As the camera moves closer, it reveals lonely trees bent under the weight of snow, their branches laden with thick snow. The camera moves forward, capturing snowflakes swirling in the air, dancing like tiny white sprites. The camera shifts to a solitary wolf, its head low as it leaves long tracks in the snow, occasionally pausing to look around. The snowstorm intensifies as the camera continues forward, the snow and mist spreading, creating a biting cold that makes it nearly impossible to see the path ahead. Finally, the camera pulls back, revealing the vast expanse of the snow-covered plain, where only snow and storm remain, creating a desolate, endless wilderness.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins under a heavy blanket of clouds, with cold winds howling across the snow-covered plains.",
+            "The world is blanketed in pure white snow, with distant mountains barely visible, obscured by swirling snow and ice.",
+            "The camera reveals lonely trees bent under the weight of snow, their branches laden with thick snow.",
+            "The camera captures snowflakes swirling in the air, dancing like tiny white sprites.",
+            "The camera shifts to a solitary wolf, leaving long tracks in the snow, as the storm intensifies, and the path ahead becomes nearly impossible to see."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins under a heavy blanket of clouds, with cold winds howling across the snow-covered plains. The world is blanketed in pure white snow, with distant mountains barely -0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins under a heavy blanket of clouds, with cold winds howling across the snow-covered plains. The world is blanketed in pure white snow, with distant mountains barely -1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins under a heavy blanket of clouds, with cold winds howling across the snow-covered plains. The world is blanketed in pure white snow, with distant mountains barely -2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera moves through a forest shrouded in morning mist, where sunlight filters through the haze, creating soft beams that illuminate the damp tree trunks and low-hanging branches. Ancient pines and oaks surround the scene, their branches intertwining as if they are guardians of the forest. As the camera moves forward, the ground is covered in thick fallen leaves, and a few deer quietly pass through, leaping over obstacles and disappearing into the mist. The camera continues, revealing a small stream winding through the roots of the trees, its clear waters glistening, while a few green frogs hop along the edges. The camera shifts upward to a group of small birds hopping on the treetops, chirping crisply, their sounds echoing through the quiet forest. Finally, the camera pulls back, showing the entire forest enveloped in mist, where trees and fog merge together in a serene, mysterious atmosphere.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera moves through a forest shrouded in morning mist, where sunlight filters through the haze, creating soft beams of light.",
+            "Ancient pines and oaks surround the scene, their branches intertwining like guardians of the forest.",
+            "The ground is covered in thick fallen leaves, with a few deer quietly passing through the mist.",
+            "A small stream winds through the roots of the trees, its clear waters shimmering, with green frogs hopping along the edges.",
+            "The camera shifts to small birds hopping on the treetops, chirping crisply, with their sounds echoing through the quiet forest."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera moves through a forest shrouded in morning mist, where sunlight filters through the haze, creating soft beams that illuminate the damp tree trunks and low-hanging branch-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera moves through a forest shrouded in morning mist, where sunlight filters through the haze, creating soft beams that illuminate the damp tree trunks and low-hanging branch-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera moves through a forest shrouded in morning mist, where sunlight filters through the haze, creating soft beams that illuminate the damp tree trunks and low-hanging branch-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins under the bright moonlight, casting its glow over a silent swamp, surrounded by darkness, with only the moonlight and the occasional flicker of fireflies illuminating the night. The camera slowly descends, revealing the mist drifting over the swamp, with the water's surface covered in floating lily pads and wet grass. Occasionally, a frog leaps into the water, creating faint ripples. As the camera moves forward, fireflies dance in the air, their tiny green lights twinkling like stars, adding life to the dark swamp. The camera shifts to the distant trees, where a few night birds fly past, their low calls echoing through the air. Finally, the camera pulls back, showing the entire swamp under the moonlight, with the water shimmering and fireflies continuing to flicker in the air, creating a mysterious, tranquil scene.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins under the bright moonlight, casting its glow over a silent swamp, surrounded by darkness.",
+            "The water's surface is covered in floating lily pads and wet grass, with occasional frogs leaping into the water.",
+            "Fireflies dance in the air, their green lights twinkling like stars, adding life to the swamp.",
+            "A few night birds fly past the trees, their low calls echoing through the air.",
+            "The camera pulls back, showing the entire swamp under the moonlight, with shimmering water and flickering fireflies."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins under the bright moonlight, casting its glow over a silent swamp, surrounded by darkness, with only the moonlight and the occasional flicker of fireflies illumina-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins under the bright moonlight, casting its glow over a silent swamp, surrounded by darkness, with only the moonlight and the occasional flicker of fireflies illumina-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins under the bright moonlight, casting its glow over a silent swamp, surrounded by darkness, with only the moonlight and the occasional flicker of fireflies illumina-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts with an aerial view of a tropical island, surrounded by the deep blue sea, with the beach glowing golden in the morning light. As the camera moves downward, the fine white sand covers the beach, and a few seagulls fly gracefully in the sea breeze, calling melodically. The camera continues forward, capturing the gentle waves lapping the shore, their surfaces reflecting the golden sunlight. The water is crystal clear, with small fish darting beneath the surface. The camera shifts to a cluster of coconut trees, their leaves rustling in the wind, as a few monkeys playfully leap between the branches, their joyful calls filling the air. Finally, the camera pulls back to reveal the entire island, with the beach, coconut trees, and clear waters blending together to form a perfect tropical paradise.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts with an aerial view of a tropical island, surrounded by the deep blue sea, with the beach glowing golden in the morning light.",
+            "The fine white sand covers the beach, and a few seagulls fly gracefully in the sea breeze, calling melodically.",
+            "The gentle waves lap the shore, their surfaces reflecting the golden sunlight, with small fish swimming in the clear water.",
+            "The camera shifts to a cluster of coconut trees, their leaves rustling in the wind, as monkeys leap between the branches.",
+            "The camera pulls back, revealing the entire island, with the beach, coconut trees, and clear waters forming a tropical paradise."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of a tropical island, surrounded by the deep blue sea, with the beach glowing golden in the morning light. As the camera moves downward, the f-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of a tropical island, surrounded by the deep blue sea, with the beach glowing golden in the morning light. As the camera moves downward, the f-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts with an aerial view of a tropical island, surrounded by the deep blue sea, with the beach glowing golden in the morning light. As the camera moves downward, the f-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins as the first rays of the morning sun rise from behind the mountain ridge, casting a warm glow over the snow-covered peaks. The camera slowly moves forward, revealing the golden reflection of the snow in the sunlight, as the entire world seems bathed in warmth. As the camera progresses, the outlines of surrounding mountains become clearer, with mist in the valleys slowly dissipating in the presence of the sun. The camera shifts to a patch of vibrant wildflowers on the slopes, their colors brightened by the sunlight, gently swaying in the breeze. The camera continues upward, capturing a few eagles soaring through the clear morning sky, their wings glistening in the sunlight. Finally, the camera pulls back, showcasing the entire majestic mountain range, bathed in the glow of the sunrise, with the world illuminated by its light.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The first rays of the morning sun rise from behind the mountain ridge, casting a warm glow over the snow-covered peaks.",
+            "The snow reflects the golden light, making the entire world feel warm and illuminated.",
+            "The outlines of surrounding mountains become clearer as mist in the valleys dissipates with the sun's arrival.",
+            "The camera shifts to vibrant wildflowers swaying gently in the breeze, their colors brightened by the sunlight.",
+            "A few eagles soar through the morning sky, their wings shining in the sunlight, as the camera pulls back to reveal the entire mountain range."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins as the first rays of the morning sun rise from behind the mountain ridge, casting a warm glow over the snow-covered peaks. The camera slowly moves forward, reveal-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins as the first rays of the morning sun rise from behind the mountain ridge, casting a warm glow over the snow-covered peaks. The camera slowly moves forward, reveal-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins as the first rays of the morning sun rise from behind the mountain ridge, casting a warm glow over the snow-covered peaks. The camera slowly moves forward, reveal-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins with a high-altitude view of an ancient stone bridge spanning a clear river. The stones of the bridge are weathered by time, covered with moss. The camera moves downward, showing the clear water flowing beneath the bridge, with stones and water plants sparkling in the sunlight. As the camera moves forward, a few fallen leaves drift across the surface, gently carried by the current. The camera shifts to the bridge's edge, where a few ducklings are playfully swimming, splashing water with their little wings. The camera moves to one side of the bridge, capturing the reflection of a large tree, with its branches swaying gently in the water. Finally, the camera pulls back, revealing the entire scene, where the river flows serenely beneath the bridge, creating a tranquil atmosphere as if time stands still.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins with a high-altitude view of an ancient stone bridge spanning a clear river, with moss-covered stones.",
+            "The clear water flows beneath the bridge, with stones and water plants sparkling in the sunlight.",
+            "A few fallen leaves drift across the surface, gently carried by the current.",
+            "A few ducklings swim near the bridge, splashing water with their wings.",
+            "The camera captures the reflection of a large tree in the water, with branches swaying gently, as the camera pulls back to show the peaceful river and bridge."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a high-altitude view of an ancient stone bridge spanning a clear river. The stones of the bridge are weathered by time, covered with moss. The camera moves d-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a high-altitude view of an ancient stone bridge spanning a clear river. The stones of the bridge are weathered by time, covered with moss. The camera moves d-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a high-altitude view of an ancient stone bridge spanning a clear river. The stones of the bridge are weathered by time, covered with moss. The camera moves d-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins with a vast lavender field stretching into the distance, the purple flowers swaying like waves in the breeze. The sun rises behind distant hills, casting a warm glow over the field, outlining each lavender bloom with golden edges. As the camera moves forward, a few bees can be seen buzzing through the flowers, collecting nectar, their hum echoing in the quiet morning air. The camera continues, capturing a few butterflies dancing gracefully through the air, their wings glistening in the sunlight. The camera shifts toward the distant hills, where the outlines of the mountains become clearer in the morning light, with a thin mist hovering over the peaks, giving the scene a dreamlike quality. Finally, the camera pulls back, showing the entire lavender field blending with the hills, where the purple flowers, golden sunlight, and distant mountains form a tranquil and beautiful landscape.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins with a vast lavender field, the purple flowers swaying in the breeze.",
+            "The sun rises behind distant hills, casting a warm glow over the field and outlining each lavender bloom.",
+            "A few bees buzz through the flowers, collecting nectar, their hum echoing in the quiet morning air.",
+            "A few butterflies dance through the air, their wings glistening in the sunlight.",
+            "The camera shifts toward distant hills, where the mountains' outlines become clearer, with mist hovering over the peaks."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a vast lavender field stretching into the distance, the purple flowers swaying like waves in the breeze. The sun rises behind distant hills, casting a warm g-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a vast lavender field stretching into the distance, the purple flowers swaying like waves in the breeze. The sun rises behind distant hills, casting a warm g-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a vast lavender field stretching into the distance, the purple flowers swaying like waves in the breeze. The sun rises behind distant hills, casting a warm g-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins with an aerial view of a modern city's skyline bathed in the golden light of sunset. The distant skyscrapers are outlined by the warm glow of the sun, with their glass facades reflecting the colors of the sky. As the camera moves downward, the streets below are illuminated by city lights, with traffic beginning to grow busier. The shadows of trees and buildings stretch long across the pavement as the sunlight fades and nightfall approaches. The camera shifts to a bridge, where the lights turn on, casting a glow across the river below, its surface sparkling with reflections of the bridge lights. The camera continues forward, capturing a few birds flying across the sky, leaving brief traces of their flight. Finally, the camera pulls back, revealing the entire city skyline, now bathed in the final twilight glow, as the city lights and the darkening sky blend together to form a magnificent urban landscape.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins with an aerial view of a modern city's skyline bathed in the golden light of sunset.",
+            "The distant skyscrapers are outlined by the warm glow of the sun, their glass facades reflecting the sky's colors.",
+            "The streets below are illuminated by city lights, with traffic growing busier as night approaches.",
+            "The camera shifts to a bridge, with its lights reflecting on the river below, creating a sparkling effect.",
+            "A few birds fly across the sky, leaving brief flight traces, as the camera pulls back to reveal the entire city skyline."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with an aerial view of a modern city's skyline bathed in the golden light of sunset. The distant skyscrapers are outlined by the warm glow of the sun, with their -0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with an aerial view of a modern city's skyline bathed in the golden light of sunset. The distant skyscrapers are outlined by the warm glow of the sun, with their -1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with an aerial view of a modern city's skyline bathed in the golden light of sunset. The distant skyscrapers are outlined by the warm glow of the sun, with their -2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins with an aerial view of a deep canyon, its massive rock layers stacked along the sides in hues ranging from deep red to pale yellow, creating a strikingly layered scene. A stream winds through the canyon, its surface clear and reflective, mirroring the surrounding rocks and the blue sky. The camera moves downward, following the stream as it gently flows, with the sound of water softly echoing off the rocks. As the canyon narrows, the stream passes through gaps in the rocks, creating small ripples on the water's surface. The camera shifts toward the distant end of the canyon, where towering rock walls rise dramatically, reaching into the clouds. Sunlight filters through the top of the canyon, casting beams of light that interweave with the rock layers, creating long shadows. Finally, the camera pulls back, revealing the vast expanse of the canyon and its surrounding desert, with the tranquil depths of the canyon contrasting against the distant sky.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins with an aerial view of a deep canyon, its massive rock layers stacked in hues ranging from deep red to pale yellow.",
+            "A stream winds through the canyon, its clear surface reflecting the surrounding rocks and the blue sky.",
+            "The camera follows the stream, capturing the soft sound of water as it gently flows and strikes the rocks.",
+            "As the canyon narrows, the stream passes through gaps in the rocks, creating small ripples on the water's surface.",
+            "The camera shifts toward the distant canyon, where towering rock walls rise into the clouds, with sunlight filtering through and casting long shadows."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with an aerial view of a deep canyon, its massive rock layers stacked along the sides in hues ranging from deep red to pale yellow, creating a strikingly layered -0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with an aerial view of a deep canyon, its massive rock layers stacked along the sides in hues ranging from deep red to pale yellow, creating a strikingly layered -1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with an aerial view of a deep canyon, its massive rock layers stacked along the sides in hues ranging from deep red to pale yellow, creating a strikingly layered -2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera gradually moves closer, revealing a vast barren plain, with cracked brown earth scattered with small stones swept by the harsh winds. In the distance, an approaching storm darkens the horizon, its heavy clouds looming over the land. The setting sun breaks through the clouds, casting golden beams of light across the terrain. The camera moves downward, capturing the desolate ground with only the gusting winds and scattered dry grass. As the camera continues forward, the storm clouds advance, stirring up dust and forming a thin layer of sand haze over the plain. The camera shifts to the horizon, where the sun dips slightly behind the storm's edge, casting a dramatic interplay of golden light and dark clouds. Finally, the camera pulls back to reveal the entire barren plain, showcasing the stark contrast between the empty land and the encroaching storm, creating a tension-filled and expansive scene.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera gradually moves closer, revealing a vast barren plain with cracked brown earth and small stones swept by the wind.",
+            "In the distance, an approaching storm darkens the horizon, with heavy clouds looming over the land.",
+            "The setting sun breaks through the clouds, casting golden light across the terrain.",
+            "The camera captures the desolate ground, where gusts of wind stir up dust and dry grass.",
+            "The camera shifts to the horizon, where the sun dips behind the storm's edge, creating dramatic light and shadow as the camera pulls back to show the vast plain."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera gradually moves closer, revealing a vast barren plain, with cracked brown earth scattered with small stones swept by the harsh winds. In the distance, an approaching sto-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera gradually moves closer, revealing a vast barren plain, with cracked brown earth scattered with small stones swept by the harsh winds. In the distance, an approaching sto-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera gradually moves closer, revealing a vast barren plain, with cracked brown earth scattered with small stones swept by the harsh winds. In the distance, an approaching sto-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts at the edge of a deep cliff, where a crack runs through the rock, revealing the molten lava beneath, its orange glow flickering within the black stone. In the distance, a river of lava winds its way through the cracks, emitting a low rumbling sound. The surface of the lava pulses, occasionally sending chunks of rock tumbling into the flow, creating sparks. The camera moves downward, capturing the interplay between the lava river and the deep crevice, where firelight and shadow dance along the rock walls. As the camera pulls back, the entire crack and molten river reveal a powerful and terrifying natural landscape, with scorching air rippling through the atmosphere, creating a tense and formidable atmosphere.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts at the edge of a deep cliff, where a crack in the rock reveals molten lava glowing beneath the surface.",
+            "In the distance, a river of lava winds through the cracks, emitting a deep rumbling sound.",
+            "The lava surface pulses as chunks of rock occasionally fall into the molten flow, creating sparks.",
+            "The camera moves downward, capturing the interplay of lava and the deep crevice, where firelight and shadow contrast along the rock walls.",
+            "As the camera pulls back, the entire scene reveals a terrifying yet majestic landscape, with the air shimmering with heat."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at the edge of a deep cliff, where a crack runs through the rock, revealing the molten lava beneath, its orange glow flickering within the black stone. In the dis-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at the edge of a deep cliff, where a crack runs through the rock, revealing the molten lava beneath, its orange glow flickering within the black stone. In the dis-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at the edge of a deep cliff, where a crack runs through the rock, revealing the molten lava beneath, its orange glow flickering within the black stone. In the dis-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins with a vast salt flat stretching endlessly, the ground covered in white crystalline salt, cracked and broken as if wounded. The dry earth shines under the sunlight, giving off a dazzling glow, creating a barren and lifeless scene. As the camera moves closer, the salt crystals shift slightly in the wind, and the air, thick with heat and salt, distorts the view. In the distance, the horizon merges with the sky, creating a sense of weightlessness, as if the salt flat has no end. The camera pulls back to reveal the entire expanse, with the cracked earth and shimmering salt crystals stretching far and wide, the emptiness invoking a deep sense of isolation and desolation.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins with a vast salt flat covered in white crystalline salt, with cracks scattered across the surface.",
+            "The dry earth reflects the sunlight, creating a dazzling and barren landscape.",
+            "The salt crystals shift slightly in the wind, and the air, thick with heat and salt, distorts the view.",
+            "In the distance, the horizon seems to merge with the sky, creating a sense of endlessness.",
+            "The camera pulls back to show the vast, empty expanse, filled only with cracked earth and shimmering salt."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a vast salt flat stretching endlessly, the ground covered in white crystalline salt, cracked and broken as if wounded. The dry earth shines under the sunligh-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a vast salt flat stretching endlessly, the ground covered in white crystalline salt, cracked and broken as if wounded. The dry earth shines under the sunligh-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins with a vast salt flat stretching endlessly, the ground covered in white crystalline salt, cracked and broken as if wounded. The dry earth shines under the sunligh-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts by showing a wet tidal flat, where fine sand and mud blend together, the tide slowly receding and leaving behind a glistening sheen on the surface. Occasional exposed rocks and scattered shells are visible as the water retreats. As the camera moves forward, more of the tidal flat is revealed, with salt layers forming unique patterns on the mud. The camera shifts toward the horizon, where the tide has receded significantly, leaving the flat illuminated by the golden light of the sun. The entire scene exudes a sense of calm and stillness, with the ongoing ebb and flow of the tide lending an air of mystery to the place.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts by showing a wet tidal flat, where fine sand and mud blend together as the tide recedes.",
+            "The surface of the flat glistens, with exposed rocks and scattered shells visible as the water pulls away.",
+            "As the camera moves forward, more of the tidal flat is revealed, with unique salt patterns forming on the mud.",
+            "The camera shifts toward the horizon, where the tide has receded significantly, leaving a golden glow on the flat.",
+            "The scene radiates calm and stillness, with the changing tide creating an air of mystery."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts by showing a wet tidal flat, where fine sand and mud blend together, the tide slowly receding and leaving behind a glistening sheen on the surface. Occasional exp-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts by showing a wet tidal flat, where fine sand and mud blend together, the tide slowly receding and leaving behind a glistening sheen on the surface. Occasional exp-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts by showing a wet tidal flat, where fine sand and mud blend together, the tide slowly receding and leaving behind a glistening sheen on the surface. Occasional exp-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins to descend slowly, revealing a weathered canyon, where the cliffs' red and orange rock layers show the marks of years of erosion. The surface of the rocks is etched with intricate textures and cracks, with the sunlight casting shifting shadows that appear like nature's markings of time. As the camera moves downward, the canyon floor is covered with fine gravel and loose rocks, scattered here and there as remnants of the erosion process. As the camera continues to move forward, the canyon walls rise higher, eventually enclosing the scene in a towering, mysterious space filled with the power of nature and the marks of history.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins to descend slowly, revealing a weathered canyon with red and orange rock layers, showing signs of erosion.",
+            "The rocks' surface is etched with intricate textures and cracks, with sunlight casting shifting shadows.",
+            "The camera moves downward, showing the canyon floor covered with fine gravel and scattered rocks.",
+            "The camera continues forward, as the canyon walls grow taller, enclosing the scene in a towering space.",
+            "The entire canyon exudes a sense of power and history, filled with the traces of time and natural forces."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins to descend slowly, revealing a weathered canyon, where the cliffs' red and orange rock layers show the marks of years of erosion. The surface of the rocks is etch-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins to descend slowly, revealing a weathered canyon, where the cliffs' red and orange rock layers show the marks of years of erosion. The surface of the rocks is etch-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins to descend slowly, revealing a weathered canyon, where the cliffs' red and orange rock layers show the marks of years of erosion. The surface of the rocks is etch-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts at a distance, showing an abandoned city with empty streets, shattered glass windows in high-rise buildings, and winds blowing dust and discarded advertisements. The neon lights flicker on, casting a cold glow in the empty night sky. The camera moves downward, revealing the vacant streets, where puddles reflect the neon lights, and the wet pavement gives the city a desolate feel. Next, the camera moves into a dimly lit alley, where broken store signs and walls covered in graffiti and grime add to the sense of decay. The camera continues moving forward, capturing the faint creaking of an advertisement board swaying in the wind. As the camera shifts toward the horizon, a massive abandoned skyscraper looms, its once-glorious facade now faded, with dim blue light leaking from the broken elevator windows. Finally, the camera pulls back, showing the entire city in the dark of night, lifeless and abandoned, as if time has stopped here.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts at a distance, showing an abandoned city with empty streets and shattered windows in high-rise buildings.",
+            "The neon lights flicker on, casting a cold, empty glow over the deserted streets.",
+            "The camera moves into a dimly lit alley, with broken store signs and walls covered in graffiti.",
+            "The camera captures the faint creaking of an advertisement board swaying in the wind.",
+            "The camera shifts toward a massive abandoned skyscraper, and the entire city is revealed as dark and lifeless."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a distance, showing an abandoned city with empty streets, shattered glass windows in high-rise buildings, and winds blowing dust and discarded advertisements. -0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a distance, showing an abandoned city with empty streets, shattered glass windows in high-rise buildings, and winds blowing dust and discarded advertisements. -1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a distance, showing an abandoned city with empty streets, shattered glass windows in high-rise buildings, and winds blowing dust and discarded advertisements. -2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts from above, showing a desolate battlefield where broken weapons and shattered armor lie scattered across the ground. Deep craters mar the terrain, remnants of the fierce battles that once raged here. The setting sun breaks through dark clouds, casting a blood-red hue across the fallen stone pillars and ruined chariots. The camera moves forward, revealing an ancient stone fortress on the edge of the battlefield, its walls partially collapsed. The wind sweeps through the ruins, producing a low, eerie hum. The camera shifts to the scattered remains of the battlefield, with rusted weapons, broken swords, and abandoned shields half-buried in the earth, the air heavy and oppressive. In the distance, a burning wreckage smolders, with only smoke and ash left from the once-raging fires. Finally, the camera pulls back, showing the entire battlefield bathed in the crimson light of the setting sun, casting a melancholic and mysterious atmosphere over the scene.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts from above, showing a desolate battlefield with broken weapons and shattered armor scattered across the ground.",
+            "The setting sun breaks through dark clouds, casting a blood-red hue across the ruined terrain.",
+            "The camera reveals an ancient stone fortress at the edge of the battlefield, with collapsed walls and wind sweeping through the ruins.",
+            "The camera shifts to scattered weapons, broken swords, and abandoned shields half-buried in the earth, the air heavy and oppressive.",
+            "The camera pulls back to reveal the entire battlefield, bathed in the crimson light of the setting sun, with a melancholic atmosphere."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts from above, showing a desolate battlefield where broken weapons and shattered armor lie scattered across the ground. Deep craters mar the terrain, remnants of the-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts from above, showing a desolate battlefield where broken weapons and shattered armor lie scattered across the ground. Deep craters mar the terrain, remnants of the-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts from above, showing a desolate battlefield where broken weapons and shattered armor lie scattered across the ground. Deep craters mar the terrain, remnants of the-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera begins on a dimly lit street, where streetlights cast a faint glow, and the air is filled with the muted reflections of neon lights. The buildings on either side are weathered, with stained walls and shattered windows. The camera moves forward into a narrow alley, where the darkness at the end feels overwhelming, with broken signs and yellowed wallpaper, as if remnants of another time. The street is empty, with only the occasional wind blowing paper and leaves. As the camera moves deeper, the air grows heavier, and faint details appear in the shadows: old wires hanging from the walls and rusted doorframes swaying slightly. Finally, the camera pulls back, showing the entire street enveloped in stillness, with the flickering neon lights almost mocking the emptiness and desolation.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera begins on a dimly lit street, where streetlights cast a faint glow, and the air is filled with muted neon reflections.",
+            "The buildings on either side are weathered, with stained walls and shattered windows.",
+            "The camera moves into a narrow alley, where the darkness at the end feels overwhelming, with broken signs and yellowed wallpaper.",
+            "The street is empty, with only the occasional wind blowing paper and leaves, and the air grows heavier.",
+            "The camera pulls back, showing the entire street in stillness, with flickering neon lights mocking the desolation."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins on a dimly lit street, where streetlights cast a faint glow, and the air is filled with the muted reflections of neon lights. The buildings on either side are wea-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins on a dimly lit street, where streetlights cast a faint glow, and the air is filled with the muted reflections of neon lights. The buildings on either side are wea-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera begins on a dimly lit street, where streetlights cast a faint glow, and the air is filled with the muted reflections of neon lights. The buildings on either side are wea-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "The camera starts at a rusted metal gate, with peeling paint revealing dull metal underneath, giving a sense of decay and unease. The gate creaks open, and the camera moves into a dimly lit corridor, with cracked tiles on the floor and exposed concrete in places. The light at the far end of the hallway is faint, creating an eerie atmosphere. As the camera moves forward, bloodstains on the walls become evident, and the air smells of mold and decay. The camera enters a former patient room, where the bed is torn apart, broken curtains flutter, and through the shattered window, an abandoned courtyard can be seen. The camera moves with the wind, and a low, mournful moan fills the room, as if the restless souls of former patients are trapped inside. As the camera shifts to the doorway, the outside is engulfed in darkness, and the air grows heavier, with the sound of footsteps echoing down the hollow hallway, as though someone is silently following. Finally, the camera pulls back, showing the entire abandoned asylum being swallowed by darkness, leaving behind an oppressive feeling of isolation and suffocation.",
+        "dimension": [
+            "Complex_Landscape"
+        ],
+        "auxiliary_info": [
+            "The camera starts at the entrance of a decaying metal gate, peeling paint revealing rusty metal beneath, creating a sense of unease and abandonment.",
+            "The gate creaks open and the camera moves into a dim corridor, where cracked and broken tiles cover the floor, revealing patches of exposed concrete underneath.",
+            "Bloodstains smear the walls, and the stench of mold and rot fills the air, adding to the eerie atmosphere as the camera moves forward.",
+            "The camera enters an abandoned patient room, where torn bed sheets and fluttering curtains create an unsettling feeling, while a shattered window reveals the overgrown courtyard outside.",
+            "The camera pulls back from the room as the faint sound of footsteps echoes down the long, dark corridor, and the entire asylum is swallowed by an overwhelming darkness."
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a rusted metal gate, with peeling paint revealing dull metal underneath, giving a sense of decay and unease. The gate creaks open, and the camera moves into a -0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a rusted metal gate, with peeling paint revealing dull metal underneath, giving a sense of decay and unease. The gate creaks open, and the camera moves into a -1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Landscape/The camera starts at a rusted metal gate, with peeling paint revealing dull metal underneath, giving a sense of decay and unease. The gate creaks open, and the camera moves into a -2.mp4"
+        ]
+    }
+]

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Complex_Plot/results_2026-06-02-17:32:07_eval_results.json

@@ -0,0 +1,727 @@
+{
+    "Complex_Plot": [
+        0.10981481481481482,
+        [
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and the first runner quickly took off, leading the other teams. Everyone was focused on his performance. During the baton handoff of the first runner, Team A made a-0.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and the first runner quickly took off, leading the other teams. Everyone was focused on his performance. During the baton handoff of the first runner, Team A made a-1.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and the first runner quickly took off, leading the other teams. Everyone was focused on his performance. During the baton handoff of the first runner, Team A made a-2.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly organized an attack, breaking through Team B's defense with fast passes. The forward accurately kicked the ball into the goal, taking a 1-0 lead-0.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly organized an attack, breaking through Team B's defense with fast passes. The forward accurately kicked the ball into the goal, taking a 1-0 lead-1.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly organized an attack, breaking through Team B's defense with fast passes. The forward accurately kicked the ball into the goal, taking a 1-0 lead-2.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and all the runners sprinted quickly. The runner from Team A quickly took the lead. After a period of steady running, the runners from Team A and Team B gradually c-0.mp4",
+                "video_results": 0.4
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and all the runners sprinted quickly. The runner from Team A quickly took the lead. After a period of steady running, the runners from Team A and Team B gradually c-1.mp4",
+                "video_results": 0.4
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and all the runners sprinted quickly. The runner from Team A quickly took the lead. After a period of steady running, the runners from Team A and Team B gradually c-2.mp4",
+                "video_results": 0.4
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and the runners quickly started. The Team A runner took the lead initially due to a powerful start. However, the Team B runner did not rush to chase but instead ste-0.mp4",
+                "video_results": 0.2
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and the runners quickly started. The Team A runner took the lead initially due to a powerful start. However, the Team B runner did not rush to chase but instead ste-1.mp4",
+                "video_results": 0.2
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The race began, and the runners quickly started. The Team A runner took the lead initially due to a powerful start. However, the Team B runner did not rush to chase but instead ste-2.mp4",
+                "video_results": 0.2
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly found their rhythm. A series of fast attacks put pressure on Team B\u2019s defense. Team A's forward made two three-pointers, quickly increasing the -0.mp4",
+                "video_results": 0.2
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly found their rhythm. A series of fast attacks put pressure on Team B\u2019s defense. Team A's forward made two three-pointers, quickly increasing the -1.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly found their rhythm. A series of fast attacks put pressure on Team B\u2019s defense. Team A's forward made two three-pointers, quickly increasing the -2.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly gained the upper hand with several precise kills, taking a 11-6 lead. The Team B player stayed calm and gradually adjusted, finding ways to resp-0.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly gained the upper hand with several precise kills, taking a 11-6 lead. The Team B player stayed calm and gradually adjusted, finding ways to resp-1.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match began, and Team A quickly gained the upper hand with several precise kills, taking a 11-6 lead. The Team B player stayed calm and gradually adjusted, finding ways to resp-2.mp4",
+                "video_results": 0.0
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match started, and Team A quickly scored points with a series of high-quality serves, taking the lead early on. Team B kept up the pressure in the first set but was unable to b-0.mp4",
+                "video_results": 0.2
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Complex_Plot/The match started, and Team A quickly scored points with a series of high-quality serves, taking the lead early on. Team B kept up the pressure in the first set but was unable to b-1.mp4",
+                "video_results": 0.0
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outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Composition/results_2026-06-02-17:32:08_eval_results.json

@@ -0,0 +1,643 @@
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+                "video_results": 0.5
+            }
+        ]
+    ]
+}

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Composition/results_2026-06-02-17:32:08_full_info.json

@@ -0,0 +1,1151 @@
+[
+    {
+        "prompt_en": "A lion with the wings of an eagle, soaring through the sky with majestic ease.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The wings of an eagle",
+                "A lion"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion with the wings of an eagle, soaring through the sky with majestic ease.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion with the wings of an eagle, soaring through the sky with majestic ease.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion with the wings of an eagle, soaring through the sky with majestic ease.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A giraffe with the scales of a fish, able to glide smoothly through the water.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Fish scales",
+                "A giraffe"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the scales of a fish, able to glide smoothly through the water.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the scales of a fish, able to glide smoothly through the water.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the scales of a fish, able to glide smoothly through the water.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A wolf with the body of a horse, galloping across a vast plains with wild abandon.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The body of the horse",
+                "A wolf"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A wolf with the body of a horse, galloping across a vast plains with wild abandon.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A wolf with the body of a horse, galloping across a vast plains with wild abandon.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A wolf with the body of a horse, galloping across a vast plains with wild abandon.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A bear with the antlers of a deer, roaming the forest with a regal presence.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The deer's antlers",
+                "A bear"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A bear with the antlers of a deer, roaming the forest with a regal presence.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A bear with the antlers of a deer, roaming the forest with a regal presence.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A bear with the antlers of a deer, roaming the forest with a regal presence.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A cheetah with the shell of a tortoise, moving quickly but with a protective outer layer.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The shell of the turtle",
+                "A cheetah"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A cheetah with the shell of a tortoise, moving quickly but with a protective outer layer.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A cheetah with the shell of a tortoise, moving quickly but with a protective outer layer.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A cheetah with the shell of a tortoise, moving quickly but with a protective outer layer.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A butterfly with the eyes of an owl, its wings shimmering in moonlight as it hunts at night.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Owl's eyes",
+                "A butterfly"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A butterfly with the eyes of an owl, its wings shimmering in moonlight as it hunts at night.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A butterfly with the eyes of an owl, its wings shimmering in moonlight as it hunts at night.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A butterfly with the eyes of an owl, its wings shimmering in moonlight as it hunts at night.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A shark with the legs of a lion, prowling the shores like a beast of land and sea.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The lion's leg",
+                "A shark"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A shark with the legs of a lion, prowling the shores like a beast of land and sea.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A shark with the legs of a lion, prowling the shores like a beast of land and sea.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A shark with the legs of a lion, prowling the shores like a beast of land and sea.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A zebra with the horns of a ram, charging through the savannah with both grace and power.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Ram's horn",
+                "A zebra"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A zebra with the horns of a ram, charging through the savannah with both grace and power.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A zebra with the horns of a ram, charging through the savannah with both grace and power.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A zebra with the horns of a ram, charging through the savannah with both grace and power.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A whale with the wings of a bat, soaring over the ocean surface under the full moon.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Bat's wings",
+                "A whale"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale with the wings of a bat, soaring over the ocean surface under the full moon.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale with the wings of a bat, soaring over the ocean surface under the full moon.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale with the wings of a bat, soaring over the ocean surface under the full moon.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A spider with the body of a rabbit, scurrying across the ground with immense speed.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The rabbit's body",
+                "A spider"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A spider with the body of a rabbit, scurrying across the ground with immense speed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A spider with the body of a rabbit, scurrying across the ground with immense speed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A spider with the body of a rabbit, scurrying across the ground with immense speed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "An owl with the body of a tiger, prowling the night skies with sharp talons.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The body of the tiger",
+                "An owl"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/An owl with the body of a tiger, prowling the night skies with sharp talons.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/An owl with the body of a tiger, prowling the night skies with sharp talons.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/An owl with the body of a tiger, prowling the night skies with sharp talons.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A giraffe with the wings of a bat, soaring above the trees in a mysterious flight.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Bat's wings",
+                "A giraffe"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the wings of a bat, soaring above the trees in a mysterious flight.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the wings of a bat, soaring above the trees in a mysterious flight.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the wings of a bat, soaring above the trees in a mysterious flight.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A chameleon with the body of a snake, slithering through bushes while changing colors.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The body of a snake",
+                "A chameleon"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A chameleon with the body of a snake, slithering through bushes while changing colors.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A chameleon with the body of a snake, slithering through bushes while changing colors.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A chameleon with the body of a snake, slithering through bushes while changing colors.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A rabbit with the horns of a goat, hopping energetically while butting through obstacles.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Goat's horn",
+                "A rabbit"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit with the horns of a goat, hopping energetically while butting through obstacles.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit with the horns of a goat, hopping energetically while butting through obstacles.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit with the horns of a goat, hopping energetically while butting through obstacles.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A penguin with the legs of a cheetah, racing across icy terrain at lightning speed.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Cheetah's legs",
+                "A penguin"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A penguin with the legs of a cheetah, racing across icy terrain at lightning speed.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A penguin with the legs of a cheetah, racing across icy terrain at lightning speed.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A penguin with the legs of a cheetah, racing across icy terrain at lightning speed.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A giraffe with the body of a whale, the legs of a kangaroo, and the tail of a flamingo, allowing it to leap from one ocean wave to another with remarkable grace.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The body of a whale.",
+                "The legs of a kangaroo",
+                "The flamingo's tail",
+                "A giraffe"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the body of a whale, the legs of a kangaroo, and the tail of a flamingo, allowing it to leap from one ocean wave to another with remarkable grace.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the body of a whale, the legs of a kangaroo, and the tail of a flamingo, allowing it to leap from one ocean wave to another with remarkable grace.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the body of a whale, the legs of a kangaroo, and the tail of a flamingo, allowing it to leap from one ocean wave to another with remarkable grace.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A wolf with the fur of a zebra, the wings of a hawk, and the claws of a bear, blending in the forest and the sky, capable of both hunting and flying.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The fur of the zebra",
+                "The wings of an eagle",
+                "Bear's paw",
+                "A wolf"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A wolf with the fur of a zebra, the wings of a hawk, and the claws of a bear, blending in the forest and the sky, capable of both hunting and flying.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A wolf with the fur of a zebra, the wings of a hawk, and the claws of a bear, blending in the forest and the sky, capable of both hunting and flying.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A wolf with the fur of a zebra, the wings of a hawk, and the claws of a bear, blending in the forest and the sky, capable of both hunting and flying.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A crocodile with the arms of a gorilla, the legs of a cheetah, the scales of a snake, and the eyes of a chameleon, an apex predator in both land and water.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The arms of a gorilla.",
+                "The legs of the cheetah",
+                "Snake scales",
+                "The Eyes of the Chameleon",
+                "A crocodile"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A crocodile with the arms of a gorilla, the legs of a cheetah, the scales of a snake, and the eyes of a chameleon, an apex predator in both land and water.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A crocodile with the arms of a gorilla, the legs of a cheetah, the scales of a snake, and the eyes of a chameleon, an apex predator in both land and water.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A crocodile with the arms of a gorilla, the legs of a cheetah, the scales of a snake, and the eyes of a chameleon, an apex predator in both land and water.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A rabbit with the legs of a frog, the ears of a bat, the body of a turtle, and the tail of a squirrel, combining agility, stealth, and the ability to survive in any environment.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Frog's legs",
+                "Bat's ears",
+                "The body of the turtle",
+                "Squirrel's tail",
+                "A rabbit"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit with the legs of a frog, the ears of a bat, the body of a turtle, and the tail of a squirrel, combining agility, stealth, and the ability to survive in any environment.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit with the legs of a frog, the ears of a bat, the body of a turtle, and the tail of a squirrel, combining agility, stealth, and the ability to survive in any environment.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit with the legs of a frog, the ears of a bat, the body of a turtle, and the tail of a squirrel, combining agility, stealth, and the ability to survive in any environment.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A whale with the horns of a ram, the wings of an eagle, and the skin of an octopus, able to both soar through the skies and dive deep into the ocean.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The ram's horn",
+                "The wings of an eagle",
+                "Octopus skin",
+                "A whale"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale with the horns of a ram, the wings of an eagle, and the skin of an octopus, able to both soar through the skies and dive deep into the ocean.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale with the horns of a ram, the wings of an eagle, and the skin of an octopus, able to both soar through the skies and dive deep into the ocean.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale with the horns of a ram, the wings of an eagle, and the skin of an octopus, able to both soar through the skies and dive deep into the ocean.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A panda with the antlers of a deer, the body of a lion, the tail of a monkey, and the wings of a bat, a majestic creature roaming forests and skies.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The deer's antlers",
+                "The body of the lion",
+                "The monkey's tail",
+                "Bat's wings",
+                "A panda"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A panda with the antlers of a deer, the body of a lion, the tail of a monkey, and the wings of a bat, a majestic creature roaming forests and skies.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A panda with the antlers of a deer, the body of a lion, the tail of a monkey, and the wings of a bat, a majestic creature roaming forests and skies.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A panda with the antlers of a deer, the body of a lion, the tail of a monkey, and the wings of a bat, a majestic creature roaming forests and skies.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A giraffe with the tail of a lizard, the body of an eagle, the eyes of a hawk, and the wings of a bat, soaring and surveying vast landscapes from the sky.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The tail of the lizard",
+                "Eagle's body",
+                "The Eyes of the Falcon",
+                "Bat's wings",
+                "A giraffe"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the tail of a lizard, the body of an eagle, the eyes of a hawk, and the wings of a bat, soaring and surveying vast landscapes from the sky.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the tail of a lizard, the body of an eagle, the eyes of a hawk, and the wings of a bat, soaring and surveying vast landscapes from the sky.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe with the tail of a lizard, the body of an eagle, the eyes of a hawk, and the wings of a bat, soaring and surveying vast landscapes from the sky.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A lion with the ears of a bat, the body of a whale, the claws of an eagle, and the wings of a dragon, an unstoppable predator both in the sea and in the sky.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Bat's ears",
+                "The body of a whale",
+                "Eagle's claws",
+                "Dragon's Wings",
+                "A lion"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion with the ears of a bat, the body of a whale, the claws of an eagle, and the wings of a dragon, an unstoppable predator both in the sea and in the sky.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion with the ears of a bat, the body of a whale, the claws of an eagle, and the wings of a dragon, an unstoppable predator both in the sea and in the sky.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion with the ears of a bat, the body of a whale, the claws of an eagle, and the wings of a dragon, an unstoppable predator both in the sea and in the sky.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "An octopus with the shell of a tortoise, the body of a deer, the wings of a butterfly, and the eyes of an eagle, blending speed, defense, and perception.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "The shell of the turtle",
+                "Deer's body",
+                "The Wings of a Butterfly",
+                "Eagle's eyes",
+                "An octopus"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/An octopus with the shell of a tortoise, the body of a deer, the wings of a butterfly, and the eyes of an eagle, blending speed, defense, and perception.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/An octopus with the shell of a tortoise, the body of a deer, the wings of a butterfly, and the eyes of an eagle, blending speed, defense, and perception.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/An octopus with the shell of a tortoise, the body of a deer, the wings of a butterfly, and the eyes of an eagle, blending speed, defense, and perception.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A frog with the head of a crocodile, the legs of a horse, the body of a panda, and the wings of a dragonfly, adapting to land, water, and air with ease.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "Crocodile's head",
+                "Horse's leg",
+                "The body of the panda.",
+                "The Wings of a Dragonfly",
+                "A frog"
+            ],
+            "judge": [
+                true,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A frog with the head of a crocodile, the legs of a horse, the body of a panda, and the wings of a dragonfly, adapting to land, water, and air with ease.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A frog with the head of a crocodile, the legs of a horse, the body of a panda, and the wings of a dragonfly, adapting to land, water, and air with ease.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A frog with the head of a crocodile, the legs of a horse, the body of a panda, and the wings of a dragonfly, adapting to land, water, and air with ease.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A lion doing a handstand, balancing perfectly on its front paws while gazing confidently at the audience.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A lion is doing a handstand."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion doing a handstand, balancing perfectly on its front paws while gazing confidently at the audience.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion doing a handstand, balancing perfectly on its front paws while gazing confidently at the audience.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion doing a handstand, balancing perfectly on its front paws while gazing confidently at the audience.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A giraffe breakdancing, spinning on its back and flipping gracefully despite its towering height.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A giraffe is breakdancing."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe breakdancing, spinning on its back and flipping gracefully despite its towering height.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe breakdancing, spinning on its back and flipping gracefully despite its towering height.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe breakdancing, spinning on its back and flipping gracefully despite its towering height.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A cheetah doing yoga poses, stretching out its limbs with remarkable flexibility and focus.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A cheetah doing yoga poses."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A cheetah doing yoga poses, stretching out its limbs with remarkable flexibility and focus.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A cheetah doing yoga poses, stretching out its limbs with remarkable flexibility and focus.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A cheetah doing yoga poses, stretching out its limbs with remarkable flexibility and focus.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A whale performing a backflip in the ocean, leaping gracefully out of the water and flipping mid-air.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A whale does a backflip.",
+                "Whale leaping out of the water.",
+                "Whale falling back into the water."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale performing a backflip in the ocean, leaping gracefully out of the water and flipping mid-air.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale performing a backflip in the ocean, leaping gracefully out of the water and flipping mid-air.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale performing a backflip in the ocean, leaping gracefully out of the water and flipping mid-air.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A toaster jumping over an obstacle course, popping up bread slices as it leaps.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A toaster jumps over an obstacle course."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A toaster jumping over an obstacle course, popping up bread slices as it leaps.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A toaster jumping over an obstacle course, popping up bread slices as it leaps.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A toaster jumping over an obstacle course, popping up bread slices as it leaps.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A vacuum cleaner jumping over hurdles, its hose flapping in the wind.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A vacuum cleaner jumps over obstacles."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A vacuum cleaner jumping over hurdles, its hose flapping in the wind.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A vacuum cleaner jumping over hurdles, its hose flapping in the wind.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A vacuum cleaner jumping over hurdles, its hose flapping in the wind.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A broomstick breakdancing, twisting and spinning on the floor with flair.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A broomstick breakdancing",
+                "No human in the video"
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A broomstick breakdancing, twisting and spinning on the floor with flair.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A broomstick breakdancing, twisting and spinning on the floor with flair.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A broomstick breakdancing, twisting and spinning on the floor with flair.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A suitcase swimming in the ocean, paddling through the waves like a professional swimmer.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A suitcase is swimming in the ocean, paddling through the waves like a professional swimmer."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A suitcase swimming in the ocean, paddling through the waves like a professional swimmer.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A suitcase swimming in the ocean, paddling through the waves like a professional swimmer.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A suitcase swimming in the ocean, paddling through the waves like a professional swimmer.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A vacuum cleaner playing soccer, dribbling a ball around cones with surprising agility.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A vacuum cleaner plays soccer."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A vacuum cleaner playing soccer, dribbling a ball around cones with surprising agility.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A vacuum cleaner playing soccer, dribbling a ball around cones with surprising agility.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A vacuum cleaner playing soccer, dribbling a ball around cones with surprising agility.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A dog and a cat playing video games together, each holding a controller and laughing.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A dog and a cat are playing video games together."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A dog and a cat playing video games together, each holding a controller and laughing.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A dog and a cat playing video games together, each holding a controller and laughing.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A dog and a cat playing video games together, each holding a controller and laughing.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A whale and a seagull flying side by side, the whale soaring through the clouds while the seagull glides effortlessly.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A whale and a seagull flying side by side."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale and a seagull flying side by side, the whale soaring through the clouds while the seagull glides effortlessly.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale and a seagull flying side by side, the whale soaring through the clouds while the seagull glides effortlessly.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale and a seagull flying side by side, the whale soaring through the clouds while the seagull glides effortlessly.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A chair and a table having a tea party, both elegantly setting out cups and pastries.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A chair and a table are having a tea party."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A chair and a table having a tea party, both elegantly setting out cups and pastries.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A chair and a table having a tea party, both elegantly setting out cups and pastries.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A chair and a table having a tea party, both elegantly setting out cups and pastries.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A sandwich and a soup having a conversation, debating which is the best comfort food.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A sandwich and a bowl of soup are having a conversation."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A sandwich and a soup having a conversation, debating which is the best comfort food.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A sandwich and a soup having a conversation, debating which is the best comfort food.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A sandwich and a soup having a conversation, debating which is the best comfort food.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A hammer and a nail playing tag, chasing each other around in a game of high-speed pursuit.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A hammer and a nail are playing hide and seek."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A hammer and a nail playing tag, chasing each other around in a game of high-speed pursuit.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A hammer and a nail playing tag, chasing each other around in a game of high-speed pursuit.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A hammer and a nail playing tag, chasing each other around in a game of high-speed pursuit.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A snowflake and a flame performing a duet, the snowflake twirling while the flame dances around it.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A snowflake and a flame are performing a duet.",
+                "Both snowflake and flame are moving"
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A snowflake and a flame performing a duet, the snowflake twirling while the flame dances around it.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A snowflake and a flame performing a duet, the snowflake twirling while the flame dances around it.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A snowflake and a flame performing a duet, the snowflake twirling while the flame dances around it.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A book and a cup of tea exchanging stories, each telling the other about their adventures.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A book and a cup of tea exchanging stories."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A book and a cup of tea exchanging stories, each telling the other about their adventures.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A book and a cup of tea exchanging stories, each telling the other about their adventures.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A book and a cup of tea exchanging stories, each telling the other about their adventures.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A toothbrush and toothpaste singing a duet, their melodies harmonizing perfectly.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A toothbrush and a tube of toothpaste are singing a duet."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A toothbrush and toothpaste singing a duet, their melodies harmonizing perfectly.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A toothbrush and toothpaste singing a duet, their melodies harmonizing perfectly.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A toothbrush and toothpaste singing a duet, their melodies harmonizing perfectly.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A kite and a balloon flying side by side, each drifting gracefully in the wind.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A kite and a balloon are flying side by side."
+            ],
+            "judge": [
+                false,
+                true
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A kite and a balloon flying side by side, each drifting gracefully in the wind.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A kite and a balloon flying side by side, each drifting gracefully in the wind.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A kite and a balloon flying side by side, each drifting gracefully in the wind.-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A penguin, a car, a rope, and a tiger are playing basketball. The penguin dribbles the ball while riding on the car, which is speeding across the court. The tiger tries to leap and catch the ball, but the rope tangles itself around the tiger\u2019s legs, causing it to fall while the penguin shoots a three-pointer.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A penguin, a car, a rope, and a tiger are playing basketball.",
+                "The penguin is dribbling a ball on the car.",
+                "The car is speeding across the field.",
+                "The tiger tried to jump up and catch the ball.",
+                "The rope got tangled around the tiger's leg, causing it to fall.",
+                "The penguin made a three-point shot."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A penguin, a car, a rope, and a tiger are playing basketball. The penguin dribbles the ball while riding on the car, which is speeding across the court. The tiger tries to leap and-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A penguin, a car, a rope, and a tiger are playing basketball. The penguin dribbles the ball while riding on the car, which is speeding across the court. The tiger tries to leap and-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A penguin, a car, a rope, and a tiger are playing basketball. The penguin dribbles the ball while riding on the car, which is speeding across the court. The tiger tries to leap and-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A giraffe, a vacuum cleaner, a skateboard, and a book are in a race. The giraffe uses its long neck to try to reach the finish line first, while the vacuum cleaner moves backwards, accidentally sucking up the skateboard. The book flies off the shelf and lands on the giraffe's back, causing it to trip and stumble.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A giraffe, a vacuum cleaner, a skateboard, and a book are having a race.",
+                "The giraffe tried to reach the finish line first with its long neck.",
+                "The vacuum cleaner moved backward and accidentally sucked up the skateboard.",
+                "The book flew off the shelf and landed on the giraffe's back, causing it to trip."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe, a vacuum cleaner, a skateboard, and a book are in a race. The giraffe uses its long neck to try to reach the finish line first, while the vacuum cleaner moves backwards,-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe, a vacuum cleaner, a skateboard, and a book are in a race. The giraffe uses its long neck to try to reach the finish line first, while the vacuum cleaner moves backwards,-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A giraffe, a vacuum cleaner, a skateboard, and a book are in a race. The giraffe uses its long neck to try to reach the finish line first, while the vacuum cleaner moves backwards,-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A lion, a lamp, a skateboard, and a bowl of soup are trying to perform a circus trick. The lion is balancing on the skateboard while sipping the soup from the bowl, but the lamp starts spinning wildly, casting light in all directions and blinding the lion, causing it to fall off the skateboard and spill the soup everywhere.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A lion, a lamp, a skateboard, and a bowl of soup are performing a circus acrobatics act.",
+                "The lion balances on the skateboard while drinking soup from the bowl.",
+                "The lights began to spin wildly, scattering beams in all directions.",
+                "The glaring lights caused the lion to fall off the skateboard, spilling soup everywhere."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion, a lamp, a skateboard, and a bowl of soup are trying to perform a circus trick. The lion is balancing on the skateboard while sipping the soup from the bowl, but the lamp st-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion, a lamp, a skateboard, and a bowl of soup are trying to perform a circus trick. The lion is balancing on the skateboard while sipping the soup from the bowl, but the lamp st-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion, a lamp, a skateboard, and a bowl of soup are trying to perform a circus trick. The lion is balancing on the skateboard while sipping the soup from the bowl, but the lamp st-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A monkey, a piano, a backpack, and a traffic cone are on stage for a performance. The monkey plays the piano with its feet, but the backpack suddenly jumps onto the keys, causing the piano to play random notes. The traffic cone starts rolling around the stage, knocking over the backpack and creating chaos.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A monkey, a piano, a backpack, and a traffic cone are performing on stage.",
+                "The monkey plays the piano with its feet.",
+                "The backpack suddenly jumped onto the piano keys, causing random notes to sound.",
+                "The traffic cone started rolling across the stage, knocking over backpacks and creating chaos."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A monkey, a piano, a backpack, and a traffic cone are on stage for a performance. The monkey plays the piano with its feet, but the backpack suddenly jumps onto the keys, causing t-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A monkey, a piano, a backpack, and a traffic cone are on stage for a performance. The monkey plays the piano with its feet, but the backpack suddenly jumps onto the keys, causing t-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A monkey, a piano, a backpack, and a traffic cone are on stage for a performance. The monkey plays the piano with its feet, but the backpack suddenly jumps onto the keys, causing t-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A rabbit, a frisbee, a chair, and a broomstick are playing tag. The rabbit throws the frisbee to the chair, but the broomstick catches it mid-air with its bristles, causing the frisbee to spin out of control and hit the rabbit in the face. The chair then flips itself over in confusion.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A rabbit, a frisbee, a chair, and a broomstick are playing hide and seek.",
+                "The rabbit threw the frisbee to the chair.",
+                "The broomstick caught the flying disc in mid-air with its bristles, causing the disc to go out of control and hit the rabbit's face.",
+                "The chair flipped over in confusion."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit, a frisbee, a chair, and a broomstick are playing tag. The rabbit throws the frisbee to the chair, but the broomstick catches it mid-air with its bristles, causing the fri-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit, a frisbee, a chair, and a broomstick are playing tag. The rabbit throws the frisbee to the chair, but the broomstick catches it mid-air with its bristles, causing the fri-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A rabbit, a frisbee, a chair, and a broomstick are playing tag. The rabbit throws the frisbee to the chair, but the broomstick catches it mid-air with its bristles, causing the fri-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A whale, a bicycle, a notebook, and a lamp are having a race. The whale is swimming in the ocean and the bicycle is moving across land, but the notebook keeps opening and closing, trying to write down results. The lamp starts flickering, causing the whale to get confused and swim the wrong way.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A whale, a bicycle, a notebook, and a lamp are in a race.",
+                "The whale swims in the ocean, while the bicycle travels on land.",
+                "The notebook kept opening and closing, trying to record the results.",
+                "The lights began to flicker, causing the whale to become confused and swim in the wrong direction."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale, a bicycle, a notebook, and a lamp are having a race. The whale is swimming in the ocean and the bicycle is moving across land, but the notebook keeps opening and closing, -0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale, a bicycle, a notebook, and a lamp are having a race. The whale is swimming in the ocean and the bicycle is moving across land, but the notebook keeps opening and closing, -1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A whale, a bicycle, a notebook, and a lamp are having a race. The whale is swimming in the ocean and the bicycle is moving across land, but the notebook keeps opening and closing, -2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A tiger, a bicycle, a spoon, and a door are in the middle of a race. The tiger is racing alongside the bicycle, but the spoon keeps slipping out of the door's handle and landing on the tiger's back. The door keeps swinging open and shut, blocking the tiger\u2019s path and causing the bicycle to crash into it.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A tiger, a bicycle, a spoon, and a door are having a race.",
+                "The tiger and the bicycle are racing together.",
+                "The spoon kept sliding down from the doorknob and fell onto the tiger's back.",
+                "The door kept opening and closing, blocking the tiger's path, causing a bicycle to crash into it."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A tiger, a bicycle, a spoon, and a door are in the middle of a race. The tiger is racing alongside the bicycle, but the spoon keeps slipping out of the door's handle and landing on-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A tiger, a bicycle, a spoon, and a door are in the middle of a race. The tiger is racing alongside the bicycle, but the spoon keeps slipping out of the door's handle and landing on-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A tiger, a bicycle, a spoon, and a door are in the middle of a race. The tiger is racing alongside the bicycle, but the spoon keeps slipping out of the door's handle and landing on-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A sloth, a paintbrush, a cup of tea, and a kite are participating in a race. The sloth is moving incredibly slowly while holding the paintbrush, but the cup of tea spills over, causing the sloth to slip. The kite flies into the sloth's path, causing the sloth to get tangled in its strings while trying to avoid the spilled tea.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A sloth, a paintbrush, a cup of tea, and a kite are participating in a competition.",
+                "The sloth moves very slowly while holding a paintbrush.",
+                "The teacup spilled, causing the sloth to slip.",
+                "The kite flew into the sloth's path, and as the sloth tried to avoid the spilled tea, it got tangled in the kite string."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A sloth, a paintbrush, a cup of tea, and a kite are participating in a race. The sloth is moving incredibly slowly while holding the paintbrush, but the cup of tea spills over, cau-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A sloth, a paintbrush, a cup of tea, and a kite are participating in a race. The sloth is moving incredibly slowly while holding the paintbrush, but the cup of tea spills over, cau-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A sloth, a paintbrush, a cup of tea, and a kite are participating in a race. The sloth is moving incredibly slowly while holding the paintbrush, but the cup of tea spills over, cau-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A lion, a skateboard, a pillow, and a mug are playing a game of tag. The lion is chasing the skateboard, but the pillow keeps bouncing in front of it, causing the lion to trip over it. The mug is constantly thrown into the air by the pillow\u2019s jumps, landing on the skateboard and blocking the lion\u2019s path.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A lion, a skateboard, a pillow, and a cup are playing hide and seek.",
+                "The lion is chasing the skateboard.",
+                "The pillow kept bouncing in front of the lion, causing the lion to trip.",
+                "The pillow's jumps continuously tossed the cup into the air.",
+                "The cup fell onto the skateboard, blocking the lion's path."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion, a skateboard, a pillow, and a mug are playing a game of tag. The lion is chasing the skateboard, but the pillow keeps bouncing in front of it, causing the lion to trip over-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion, a skateboard, a pillow, and a mug are playing a game of tag. The lion is chasing the skateboard, but the pillow keeps bouncing in front of it, causing the lion to trip over-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A lion, a skateboard, a pillow, and a mug are playing a game of tag. The lion is chasing the skateboard, but the pillow keeps bouncing in front of it, causing the lion to trip over-2.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A zebra, a guitar, a skateboard, and a kettle are preparing for a concert. The zebra strums the guitar while balancing on the skateboard, but the kettle starts whistling loudly, distracting the zebra and causing it to fall off the skateboard. The guitar starts vibrating on its own as the kettle continues to whistle.",
+        "dimension": [
+            "Composition"
+        ],
+        "auxiliary_info": {
+            "question": [
+                "A zebra, a guitar, a skateboard, and a water bottle are getting ready for a concert.",
+                "The zebra maintains balance on a skateboard while playing the guitar.",
+                "The kettle started to emit a loud whistle, distracting the zebra and causing it to fall off the skateboard.",
+                "The guitar began to vibrate on its own, and the kettle continued to whistle."
+            ],
+            "judge": [
+                false,
+                false
+            ]
+        },
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A zebra, a guitar, a skateboard, and a kettle are preparing for a concert. The zebra strums the guitar while balancing on the skateboard, but the kettle starts whistling loudly, di-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A zebra, a guitar, a skateboard, and a kettle are preparing for a concert. The zebra strums the guitar while balancing on the skateboard, but the kettle starts whistling loudly, di-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Composition/A zebra, a guitar, a skateboard, and a kettle are preparing for a concert. The zebra strums the guitar while balancing on the skateboard, but the kettle starts whistling loudly, di-2.mp4"
+        ]
+    }
+]

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Diversity/results_2026-06-02-17:32:08_eval_results.json

@@ -0,0 +1,47 @@
+{
+    "Diversity": [
+        0.38005863279104235,
+        [
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-0.mp4",
+                "video_results": 0.22236846387386322
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A river changes from blue to brown.-0.mp4",
+                "video_results": 0.45353132486343384
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is on the left of an apple, then the dog runs to the front of the apple.-0.mp4",
+                "video_results": 0.3356851637363434
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A man is playing basketball.-0.mp4",
+                "video_results": 0.32698601484298706
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/The camera circles around. Garden.-0.mp4",
+                "video_results": 0.4633432626724243
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A shark and a giraffe create a new species.-0.mp4",
+                "video_results": 0.48776957392692566
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-0.mp4",
+                "video_results": 0.3607445955276489
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-0.mp4",
+                "video_results": 0.2519318163394928
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-0.mp4",
+                "video_results": 0.39379504323005676
+            },
+            {
+                "video_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-0.mp4",
+                "video_results": 0.5044310688972473
+            }
+        ]
+    ]
+}

outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/vbench2_results/Diversity/results_2026-06-02-17:32:08_full_info.json

@@ -0,0 +1,282 @@
+[
+    {
+        "prompt_en": "A wooden toy is placed gently on the surface of a small bowl of water.",
+        "dimension": [
+            "Diversity"
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-2.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-3.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-4.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-5.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-6.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-7.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-8.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-9.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-10.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-11.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-12.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-13.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-14.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-15.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-16.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-17.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-18.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A wooden toy is placed gently on the surface of a small bowl of water.-19.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A river changes from blue to brown.",
+        "dimension": [
+            "Diversity"
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A river changes from blue to brown.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A river changes from blue to brown.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A river changes from blue to brown.-2.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A river changes from blue to brown.-3.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A river changes from blue to brown.-4.mp4",
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+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A shark and a giraffe create a new species.-16.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A shark and a giraffe create a new species.-17.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A shark and a giraffe create a new species.-18.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A shark and a giraffe create a new species.-19.mp4"
+        ]
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+    {
+        "prompt_en": "A dog is sitting in the yard, then it suddenly starts running in circles.",
+        "dimension": [
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+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-2.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-3.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-4.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-5.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-6.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-7.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-8.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-9.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-10.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-11.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-12.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-13.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-14.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-15.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-16.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-17.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-18.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A dog is sitting in the yard, then it suddenly starts running in circles.-19.mp4"
+        ]
+    },
+    {
+        "prompt_en": "A person is eating ice cream.",
+        "dimension": [
+            "Diversity"
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+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-2.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-3.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-4.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-5.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-6.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-7.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-8.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-9.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-10.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-11.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-12.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-13.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-14.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-15.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-16.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-17.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-18.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/A person is eating ice cream.-19.mp4"
+        ]
+    },
+    {
+        "prompt_en": "One person picks out clothes for another person.",
+        "dimension": [
+            "Diversity"
+        ],
+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-2.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-3.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-4.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-5.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-6.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-7.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-8.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-9.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-10.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-11.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-12.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-13.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-14.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-15.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-16.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-17.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-18.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/One person picks out clothes for another person.-19.mp4"
+        ]
+    },
+    {
+        "prompt_en": "In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named Leon heard of the legend and decided to find the dragon. Along the way, he faced numerous dangers, but with determination, he eventually found the dragon\u2019s lair and successfully stole the golden egg. However, upon returning to his kingdom with the egg, Leon realized that the kingdom had fallen into chaos because of his actions. Ultimately, Leon decided to return the egg and used his wisdom to restore peace to the kingdom.",
+        "dimension": [
+            "Diversity"
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+        "video_list": [
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-0.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-1.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-2.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-3.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-4.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-5.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-6.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-7.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-8.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-9.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-10.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-11.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-12.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-13.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-14.mp4",
+            "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/vbench2_eval/step_200/videos/Diversity/In a distant mountain range, there was said to be a legendary red dragon. Whenever it hatched a golden egg, the world\u2019s wealth and fortune would explode. A young adventurer named L-15.mp4",
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