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  1. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_2/index_tensor([1225, 1225])_group_2_rewards.json +882 -0
  2. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_5/index_tensor([4475, 4475])_group_5_rewards.json +882 -0
  3. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_0/index_8254_seed_31702_dp_0_rank_0_sample_0_slot_0.mp4 +3 -0
  4. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_0/index_8254_seed_31703_dp_0_rank_0_sample_1_slot_1.mp4 +3 -0
  5. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_0/index_8254_seed_31704_dp_1_rank_2_sample_2_slot_0.mp4 +3 -0
  6. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_0/index_8254_seed_31705_dp_1_rank_2_sample_3_slot_1.mp4 +3 -0
  7. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_10/index_5956_seed_8420_dp_20_rank_40_sample_0_slot_0.mp4 +3 -0
  8. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_10/index_5956_seed_8421_dp_20_rank_40_sample_1_slot_1.mp4 +3 -0
  9. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_10/index_5956_seed_8422_dp_21_rank_42_sample_2_slot_0.mp4 +3 -0
  10. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_10/index_5956_seed_8423_dp_21_rank_42_sample_3_slot_1.mp4 +3 -0
  11. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_15/index_7440_seed_30989_dp_30_rank_60_sample_0_slot_0.mp4 +3 -0
  12. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_15/index_7440_seed_30990_dp_30_rank_60_sample_1_slot_1.mp4 +3 -0
  13. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_15/index_7440_seed_30991_dp_31_rank_62_sample_2_slot_0.mp4 +3 -0
  14. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_15/index_7440_seed_30992_dp_31_rank_62_sample_3_slot_1.mp4 +3 -0
  15. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_2/index_9557_seed_29456_dp_4_rank_8_sample_0_slot_0.mp4 +3 -0
  16. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_2/index_9557_seed_29458_dp_5_rank_10_sample_2_slot_0.mp4 +3 -0
  17. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_7/index_9598_seed_3326_dp_14_rank_28_sample_0_slot_0.mp4 +3 -0
  18. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000172/group_7/index_9598_seed_3327_dp_14_rank_28_sample_1_slot_1.mp4 +3 -0
  19. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_310_A crystal-clear glass ball begins its journey acro_config.json +49 -0
  20. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_42_A crystal-clear glass ball begins its journey acro_config.json +49 -0
  21. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_930_A crystal-clear glass ball begins its journey acro_config.json +49 -0
  22. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_310_A polished metal ball gleaming under soft ambient_config.json +49 -0
  23. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient_config.json +49 -0
  24. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_930_A polished metal ball gleaming under soft ambient_config.json +49 -0
  25. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini_config.json +49 -0
  26. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_42_In a sleek modern office with glass walls and mini_config.json +49 -0
  27. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini_config.json +49 -0
  28. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_310_A couple strolls hand in hand down a bustling city_config.json +49 -0
  29. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_42_A couple strolls hand in hand down a bustling city_config.json +49 -0
  30. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_930_A couple strolls hand in hand down a bustling city_config.json +49 -0
  31. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_310_In a sunlit garden a young boy with tousled hair a_config.json +49 -0
  32. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a_config.json +49 -0
  33. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json +49 -0
  34. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_310_The video begins with a rapid zoom towards a vibra_config.json +49 -0
  35. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra_config.json +49 -0
  36. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra_config.json +49 -0
  37. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_310_An exhilarating FPV aerial shot captures the breat_config.json +49 -0
  38. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_42_An exhilarating FPV aerial shot captures the breat_config.json +49 -0
  39. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat_config.json +49 -0
  40. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_310_A sleek black car glides smoothly along a winding_config.json +49 -0
  41. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding_config.json +49 -0
  42. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_930_A sleek black car glides smoothly along a winding_config.json +49 -0
  43. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_310_From a high vantage point the camera captures a bu_config.json +49 -0
  44. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu_config.json +49 -0
  45. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_930_From a high vantage point the camera captures a bu_config.json +49 -0
  46. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_310_From a high vantage point the bustling street belo_config.json +49 -0
  47. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_42_From a high vantage point the bustling street belo_config.json +49 -0
  48. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_930_From a high vantage point the bustling street belo_config.json +49 -0
  49. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_310_From a high vantage point the camera captures a bu_config.json +49 -0
  50. outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_42_From a high vantage point the camera captures a bu_config.json +49 -0
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_2/index_tensor([1225, 1225])_group_2_rewards.json ADDED
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+ [
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+ {
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+ "prompt": "tracking shot captured from the side, the camera tilted downward, capturing in stunning ultra-slow motion and high frame rate the sight of an adult male bald eagle swooping down like an arrow towards a calm lake illuminated by the golden morning sun. The eagle's massive, deep brown wings fold back to maximize speed as it nears the water's surface. Its pure white head lowers, its piercing golden eyes fixed on a shimmering salmon beneath the surface, its powerful yellow talons fully extended, poised for the fatal strike. As the claws plunge into the water with pinpoint precision, a magnificent crown of countless crystalline water droplets is unleashed. Caught in the extreme slow motion, each splashing droplet appears frozen in time, some forming perfect spheres, others stretched into ellipses in the air, each reflecting the warm sunlight like a suspended diamond, while the eagle's talons securely grasp its struggling prey. The whole picture, against the backdrop of the deep green pine forest and mountains in the distance, is full of primitive power and breathtaking natural beauty. It perfectly combines the dynamic moment of hunting with the static aesthetics of slow motion, creating a solemn and tense atmosphere.",
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+ "seed": 29891,
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+ "video_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_2/index_1225_seed_29891_dp_4_rank_8_sample_0_slot_0.mp4",
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+ "sample_idx": 0,
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+ "ranks_per_group": 2,
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+ "avg": -0.017273102328181265,
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+ "vlm_num_questions": 5.0,
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+ "reward_records": [
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+ {
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+ "sample_idx": 0,
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+ "question_id": "q1",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
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+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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+ "pred_sentence": "Yes",
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+ "normalized_pred_keywords": [
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+ "Yes"
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+ ],
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+ "target_logprob_tokens": [
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+ -0.016634341329336166
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+ ],
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+ "opposite_logprob_tokens": [
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+ ],
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+ "logprob_reward": -0.016634341329336166,
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+ "yes_no_margin_reward": 4.125,
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+ "token_credit_reward": -0.016634341329336166,
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+ "yes_ratio_reward": 1.0,
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+ "frame_importance": [
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+ "question_id": "q2",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
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+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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+ "pred_sentence": "Yes",
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+ "normalized_pred_keywords": [
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+ "Yes"
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+ ],
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+ "target_logprob_tokens": [
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+ ],
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+ "opposite_logprob_tokens": [
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+ ],
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+ "logprob_reward": -0.01607024483382702,
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+ "yes_no_margin_reward": 4.125,
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+ "token_credit_reward": -0.01607024483382702,
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+ "yes_ratio_reward": 1.0,
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+ "frame_importance": [
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+ "question_id": "q3",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
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+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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+ "pred_sentence": "Yes",
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+ "normalized_pred_keywords": [
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+ "Yes"
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+ ],
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+ "target_logprob_tokens": [
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+ "opposite_logprob_tokens": [
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+ "logprob_reward": -0.02635362558066845,
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+ "yes_no_margin_reward": 3.625,
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+ "token_credit_reward": -0.02635362558066845,
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+ "yes_ratio_reward": 1.0,
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+ "frame_importance": [
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+ "prompt": "tracking shot captured from the side, the camera tilted downward, capturing in stunning ultra-slow motion and high frame rate the sight of an adult male bald eagle swooping down like an arrow towards a calm lake illuminated by the golden morning sun. The eagle's massive, deep brown wings fold back to maximize speed as it nears the water's surface. Its pure white head lowers, its piercing golden eyes fixed on a shimmering salmon beneath the surface, its powerful yellow talons fully extended, poised for the fatal strike. As the claws plunge into the water with pinpoint precision, a magnificent crown of countless crystalline water droplets is unleashed. Caught in the extreme slow motion, each splashing droplet appears frozen in time, some forming perfect spheres, others stretched into ellipses in the air, each reflecting the warm sunlight like a suspended diamond, while the eagle's talons securely grasp its struggling prey. The whole picture, against the backdrop of the deep green pine forest and mountains in the distance, is full of primitive power and breathtaking natural beauty. It perfectly combines the dynamic moment of hunting with the static aesthetics of slow motion, creating a solemn and tense atmosphere.",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
398
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+ "Yes",
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+ "Yes",
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+ "Yes"
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+ ]
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+ },
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+ {
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+ "prompt": "tracking shot captured from the side, the camera tilted downward, capturing in stunning ultra-slow motion and high frame rate the sight of an adult male bald eagle swooping down like an arrow towards a calm lake illuminated by the golden morning sun. The eagle's massive, deep brown wings fold back to maximize speed as it nears the water's surface. Its pure white head lowers, its piercing golden eyes fixed on a shimmering salmon beneath the surface, its powerful yellow talons fully extended, poised for the fatal strike. As the claws plunge into the water with pinpoint precision, a magnificent crown of countless crystalline water droplets is unleashed. Caught in the extreme slow motion, each splashing droplet appears frozen in time, some forming perfect spheres, others stretched into ellipses in the air, each reflecting the warm sunlight like a suspended diamond, while the eagle's talons securely grasp its struggling prey. The whole picture, against the backdrop of the deep green pine forest and mountains in the distance, is full of primitive power and breathtaking natural beauty. It perfectly combines the dynamic moment of hunting with the static aesthetics of slow motion, creating a solemn and tense atmosphere.",
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+ "seed": 29893,
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+ "video_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_2/index_1225_seed_29893_dp_5_rank_10_sample_2_slot_0.mp4",
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+ "prompt": "tracking shot captured from the side, the camera tilted downward, capturing in stunning ultra-slow motion and high frame rate the sight of an adult male bald eagle swooping down like an arrow towards a calm lake illuminated by the golden morning sun. The eagle's massive, deep brown wings fold back to maximize speed as it nears the water's surface. Its pure white head lowers, its piercing golden eyes fixed on a shimmering salmon beneath the surface, its powerful yellow talons fully extended, poised for the fatal strike. As the claws plunge into the water with pinpoint precision, a magnificent crown of countless crystalline water droplets is unleashed. Caught in the extreme slow motion, each splashing droplet appears frozen in time, some forming perfect spheres, others stretched into ellipses in the air, each reflecting the warm sunlight like a suspended diamond, while the eagle's talons securely grasp its struggling prey. The whole picture, against the backdrop of the deep green pine forest and mountains in the distance, is full of primitive power and breathtaking natural beauty. It perfectly combines the dynamic moment of hunting with the static aesthetics of slow motion, creating a solemn and tense atmosphere.",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
760
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
761
+ "target_answer": "Yes",
762
+ "pred_sentence": "Yes",
763
+ "normalized_pred_keywords": [
764
+ "Yes"
765
+ ],
766
+ "target_logprob_tokens": [
767
+ -0.02636883594095707
768
+ ],
769
+ "opposite_logprob_tokens": [
770
+ -3.6513688564300537
771
+ ],
772
+ "logprob_reward": -0.02636883594095707,
773
+ "yes_no_margin_reward": 3.625,
774
+ "token_credit_reward": -0.02636883594095707,
775
+ "yes_ratio_reward": 1.0,
776
+ "frame_importance": [
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+ ],
788
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+ ],
793
+ "selected_reward": -0.02636883594095707
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+ },
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+ {
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+ "sample_idx": 0,
797
+ "question_id": "q4",
798
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
799
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
800
+ "target_answer": "Yes",
801
+ "pred_sentence": "Yes",
802
+ "normalized_pred_keywords": [
803
+ "Yes"
804
+ ],
805
+ "target_logprob_tokens": [
806
+ -0.01254053320735693
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+ ],
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+ "opposite_logprob_tokens": [
809
+ -4.387540340423584
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+ ],
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+ "logprob_reward": -0.01254053320735693,
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+ "yes_no_margin_reward": 4.375,
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+ "token_credit_reward": -0.01254053320735693,
814
+ "yes_ratio_reward": 1.0,
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+ "frame_importance": [
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+ ],
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+ "selected_reward": -0.01254053320735693
833
+ },
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+ {
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+ "sample_idx": 0,
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+ "question_id": "q5",
837
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the main subject an adult male bald eagle with a pure white head and deep brown wings?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the eagle performing a swooping motion towards a calm lake while its wings fold back?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Are the eagle's yellow talons fully extended and grasping a struggling salmon beneath the water's surface?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Is the scene captured in ultra-slow motion showing water droplets frozen in time as spheres or ellipses reflecting sunlight?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the background composed of a deep green pine forest with mountains in the distance?\", \"answer_type\": \"yes_no\"}",
838
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
839
+ "target_answer": "Yes",
840
+ "pred_sentence": "Yes",
841
+ "normalized_pred_keywords": [
842
+ "Yes"
843
+ ],
844
+ "target_logprob_tokens": [
845
+ -0.009774796664714813
846
+ ],
847
+ "opposite_logprob_tokens": [
848
+ -4.634774684906006
849
+ ],
850
+ "logprob_reward": -0.009774796664714813,
851
+ "yes_no_margin_reward": 4.625,
852
+ "token_credit_reward": -0.009774796664714813,
853
+ "yes_ratio_reward": 1.0,
854
+ "frame_importance": [
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+ 0.21794357895851135,
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+ 0.3961476683616638,
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+ 0.050274014472961426,
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+ 0.02622945047914982,
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+ 0.026263372972607613,
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+ 0.02754315733909607,
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+ 0.05215319246053696
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+ ],
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+ "top_frames": [
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+ 0,
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+ 3
870
+ ],
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+ "selected_reward": -0.009774796664714813
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+ }
873
+ ],
874
+ "vlm_decoded_outputs": [
875
+ "Yes",
876
+ "Yes",
877
+ "Yes",
878
+ "Yes",
879
+ "Yes"
880
+ ]
881
+ }
882
+ ]
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_5/index_tensor([4475, 4475])_group_5_rewards.json ADDED
@@ -0,0 +1,882 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "prompt": "An incredibly close, static, aerial view captures the moment a thick, smooth mass of pure white heavy cream drops into the center of a black ceramic cup filled with steaming black coffee. The camera remains perfectly still, focused on the liquid's dark, reflective surface. As the cream makes contact, it dives beneath the surface and immediately begins to bloom upward and outward in a slow, mesmerizing fashion. Billowing plumes of opaque white unfold like cosmic clouds, creating intricate, mesmerizing swirls and delicate creamy tendrils that dance and twist within the deep brown liquid. The stark contrast between the bright white coffee and the dark coffee slowly softens as they blend, producing a beautiful, evolving swirling pattern of creamy beige and caramel. The entire process is illuminated by a soft, directional light, casting a gentle sheen on the rotating surface, creating a tranquil, hypnotic, and visually rich atmosphere focused on the beautiful, chaotic ballet of two liquids becoming one.",
4
+ "seed": 13153,
5
+ "video_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_5/index_4475_seed_13153_dp_10_rank_20_sample_0_slot_0.mp4",
6
+ "sample_idx": 0,
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+ "ranks_per_group": 2,
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+ "group_idx": 5,
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+ "rank_in_group": 0,
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+ "sample_idx_in_group": 0,
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+ "avg": -0.27226154222153126,
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+ "vlm_logprob": -0.27226154222153126,
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+ "vlm_yes_no_margin": 3.075000011920929,
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+ "vlm_token_credit": -0.27226154222153126,
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+ "vlm_yes_ratio": 0.8,
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+ "vlm_num_questions": 5.0,
17
+ "reward_records": [
18
+ {
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+ "sample_idx": 0,
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+ "question_id": "q1",
21
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
22
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
23
+ "target_answer": "Yes",
24
+ "pred_sentence": "Yes",
25
+ "normalized_pred_keywords": [
26
+ "Yes"
27
+ ],
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+ "target_logprob_tokens": [
29
+ -0.1037372574210167
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+ ],
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+ "opposite_logprob_tokens": [
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+ ],
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+ "logprob_reward": -0.1037372574210167,
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+ "yes_no_margin_reward": 2.25,
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+ "token_credit_reward": -0.1037372574210167,
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+ "yes_ratio_reward": 1.0,
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+ "frame_importance": [
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+ ],
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+ ],
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+ "selected_reward": -0.1037372574210167
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+ },
57
+ {
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+ "sample_idx": 0,
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+ "question_id": "q2",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
61
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
62
+ "target_answer": "Yes",
63
+ "pred_sentence": "No",
64
+ "normalized_pred_keywords": [
65
+ "No"
66
+ ],
67
+ "target_logprob_tokens": [
68
+ -1.2236621379852295
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+ ],
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+ "opposite_logprob_tokens": [
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+ -0.34866219758987427
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+ ],
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+ "logprob_reward": -1.2236621379852295,
74
+ "yes_no_margin_reward": -0.8749999403953552,
75
+ "token_credit_reward": -1.2236621379852295,
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+ "yes_ratio_reward": 0.0,
77
+ "frame_importance": [
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+ ],
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+ ],
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+ "selected_reward": -1.2236621379852295
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+ },
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+ {
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+ "sample_idx": 0,
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+ "question_id": "q3",
99
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
100
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
101
+ "target_answer": "Yes",
102
+ "pred_sentence": "Yes",
103
+ "normalized_pred_keywords": [
104
+ "Yes"
105
+ ],
106
+ "target_logprob_tokens": [
107
+ -0.0036272702272981405
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+ ],
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+ "opposite_logprob_tokens": [
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+ -5.628627300262451
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+ ],
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+ "logprob_reward": -0.0036272702272981405,
113
+ "yes_no_margin_reward": 5.625,
114
+ "token_credit_reward": -0.0036272702272981405,
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+ "yes_ratio_reward": 1.0,
116
+ "frame_importance": [
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+ ],
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+ 3
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+ ],
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+ "selected_reward": -0.0036272702272981405
134
+ },
135
+ {
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+ "sample_idx": 0,
137
+ "question_id": "q4",
138
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
139
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
140
+ "target_answer": "Yes",
141
+ "pred_sentence": "Yes",
142
+ "normalized_pred_keywords": [
143
+ "Yes"
144
+ ],
145
+ "target_logprob_tokens": [
146
+ -0.01420364435762167
147
+ ],
148
+ "opposite_logprob_tokens": [
149
+ -4.2642035484313965
150
+ ],
151
+ "logprob_reward": -0.01420364435762167,
152
+ "yes_no_margin_reward": 4.25,
153
+ "token_credit_reward": -0.01420364435762167,
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
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+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "Yes",
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+ "No",
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+ "Yes",
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+ },
222
+ {
223
+ "prompt": "An incredibly close, static, aerial view captures the moment a thick, smooth mass of pure white heavy cream drops into the center of a black ceramic cup filled with steaming black coffee. The camera remains perfectly still, focused on the liquid's dark, reflective surface. As the cream makes contact, it dives beneath the surface and immediately begins to bloom upward and outward in a slow, mesmerizing fashion. Billowing plumes of opaque white unfold like cosmic clouds, creating intricate, mesmerizing swirls and delicate creamy tendrils that dance and twist within the deep brown liquid. The stark contrast between the bright white coffee and the dark coffee slowly softens as they blend, producing a beautiful, evolving swirling pattern of creamy beige and caramel. The entire process is illuminated by a soft, directional light, casting a gentle sheen on the rotating surface, creating a tranquil, hypnotic, and visually rich atmosphere focused on the beautiful, chaotic ballet of two liquids becoming one.",
224
+ "seed": 13154,
225
+ "video_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_5/index_4475_seed_13154_dp_10_rank_20_sample_1_slot_1.mp4",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
242
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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+ "pred_sentence": "Yes",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
281
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
282
+ "target_answer": "Yes",
283
+ "pred_sentence": "No",
284
+ "normalized_pred_keywords": [
285
+ "No"
286
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
320
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
359
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
360
+ "target_answer": "Yes",
361
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362
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363
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
398
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
399
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400
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401
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402
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403
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432
+ }
433
+ ],
434
+ "vlm_decoded_outputs": [
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+ "Yes",
436
+ "No",
437
+ "Yes",
438
+ "Yes",
439
+ "Yes"
440
+ ]
441
+ },
442
+ {
443
+ "prompt": "An incredibly close, static, aerial view captures the moment a thick, smooth mass of pure white heavy cream drops into the center of a black ceramic cup filled with steaming black coffee. The camera remains perfectly still, focused on the liquid's dark, reflective surface. As the cream makes contact, it dives beneath the surface and immediately begins to bloom upward and outward in a slow, mesmerizing fashion. Billowing plumes of opaque white unfold like cosmic clouds, creating intricate, mesmerizing swirls and delicate creamy tendrils that dance and twist within the deep brown liquid. The stark contrast between the bright white coffee and the dark coffee slowly softens as they blend, producing a beautiful, evolving swirling pattern of creamy beige and caramel. The entire process is illuminated by a soft, directional light, casting a gentle sheen on the rotating surface, creating a tranquil, hypnotic, and visually rich atmosphere focused on the beautiful, chaotic ballet of two liquids becoming one.",
444
+ "seed": 13155,
445
+ "video_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_5/index_4475_seed_13155_dp_11_rank_22_sample_2_slot_0.mp4",
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+ "sample_idx": 0,
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+ "group_idx": 5,
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+ "rank_in_group": 1,
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+ "sample_idx_in_group": 2,
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+ "avg": -0.28215617099776863,
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+ "vlm_logprob": -0.28215617099776863,
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+ "vlm_yes_no_margin": 3.275,
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+ "vlm_token_credit": -0.28215617099776863,
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+ "reward_records": [
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
462
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
464
+ "pred_sentence": "Yes",
465
+ "normalized_pred_keywords": [
466
+ "Yes"
467
+ ],
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+ "token_credit_reward": -0.07349292933940887,
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+ "frame_importance": [
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+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
501
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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505
+ "No"
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510
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539
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
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+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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544
+ "Yes"
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578
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
579
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
580
+ "target_answer": "Yes",
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+ "pred_sentence": "Yes",
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+ "normalized_pred_keywords": [
583
+ "Yes"
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585
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588
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+ "yes_ratio_reward": 1.0,
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+ "frame_importance": [
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617
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
618
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
620
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621
+ "normalized_pred_keywords": [
622
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623
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624
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626
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627
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632
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633
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634
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+ }
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+ ],
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656
+ "No",
657
+ "Yes",
658
+ "Yes",
659
+ "Yes"
660
+ ]
661
+ },
662
+ {
663
+ "prompt": "An incredibly close, static, aerial view captures the moment a thick, smooth mass of pure white heavy cream drops into the center of a black ceramic cup filled with steaming black coffee. The camera remains perfectly still, focused on the liquid's dark, reflective surface. As the cream makes contact, it dives beneath the surface and immediately begins to bloom upward and outward in a slow, mesmerizing fashion. Billowing plumes of opaque white unfold like cosmic clouds, creating intricate, mesmerizing swirls and delicate creamy tendrils that dance and twist within the deep brown liquid. The stark contrast between the bright white coffee and the dark coffee slowly softens as they blend, producing a beautiful, evolving swirling pattern of creamy beige and caramel. The entire process is illuminated by a soft, directional light, casting a gentle sheen on the rotating surface, creating a tranquil, hypnotic, and visually rich atmosphere focused on the beautiful, chaotic ballet of two liquids becoming one.",
664
+ "seed": 13156,
665
+ "video_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/rl_samples/0000019/group_5/index_4475_seed_13156_dp_11_rank_22_sample_3_slot_1.mp4",
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+ "sample_idx": 1,
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+ "ranks_per_group": 2,
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670
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678
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681
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
682
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
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+ "target_answer": "Yes",
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685
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686
+ "Yes"
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688
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698
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720
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
721
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
722
+ "target_answer": "Yes",
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+ "pred_sentence": "No",
724
+ "normalized_pred_keywords": [
725
+ "No"
726
+ ],
727
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729
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730
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+ "yes_no_margin_reward": -0.125,
735
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736
+ "yes_ratio_reward": 0.0,
737
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+ "selected_reward": -0.7578462958335876
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756
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+ "sample_idx": 0,
758
+ "question_id": "q3",
759
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
760
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
761
+ "target_answer": "Yes",
762
+ "pred_sentence": "Yes",
763
+ "normalized_pred_keywords": [
764
+ "Yes"
765
+ ],
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768
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772
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+ "token_credit_reward": -0.004646338522434235,
775
+ "yes_ratio_reward": 1.0,
776
+ "frame_importance": [
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792
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794
+ },
795
+ {
796
+ "sample_idx": 0,
797
+ "question_id": "q4",
798
+ "question": "You are a careful video question-answering assistant.\nUse only visually grounded evidence from the video, and do not guess unseen details.\n\nGiven an AI generated video, answer the following atomic visual questions using only evidence from the video.\n\nRules:\n- Answer each question independently.\n- Use concise canonical phrases.\n- Do not add explanations.\n- For \"yes_no\" questions, answer with \"Yes\" or \"No\" only.\n- Return valid JSON only.\n\nOutput format:\n{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"...\"}]}\n\nSub-questions:\n- {\"id\": \"q1\", \"question\": \"Is the camera view an aerial shot looking down at a black ceramic cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q2\", \"question\": \"Is the camera completely static and does not move or pan during the video?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q3\", \"question\": \"Does a thick, smooth mass of pure white heavy cream drop into the center of the cup?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q4\", \"question\": \"Does the cream dive beneath the coffee surface and bloom upward and outward in slow, billowing plumes?\", \"answer_type\": \"yes_no\"}\n- {\"id\": \"q5\", \"question\": \"Is the scene illuminated by soft, directional light casting a gentle sheen on the liquid surface?\", \"answer_type\": \"yes_no\"}",
799
+ "ref_answer": "{\"sub_answers\": [{\"id\": \"q1\", \"answer\": \"Yes\"}, {\"id\": \"q2\", \"answer\": \"Yes\"}, {\"id\": \"q3\", \"answer\": \"Yes\"}, {\"id\": \"q4\", \"answer\": \"Yes\"}, {\"id\": \"q5\", \"answer\": \"Yes\"}]}",
800
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+ "include_patterns": "double_blocks"
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+ }
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+ }
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_930_A couple strolls hand in hand down a bustling city_config.json ADDED
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+ "prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.",
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+ "quant_type": "fp8-per-token-sgl",
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+ }
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+ }
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_310_In a sunlit garden a young boy with tousled hair a_config.json ADDED
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+ "arguments": {
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+ "quant_type": "fp8-per-token-sgl",
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+ "include_patterns": "double_blocks"
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+ }
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+ }
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a_config.json ADDED
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+ {
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+ "arguments": {
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+ "quant_type": "fp8-per-token-sgl",
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+ "include_patterns": "double_blocks"
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+ }
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+ }
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a_config.json ADDED
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+ {
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+ "timestamp": "2026-05-13T23:42:47.118049",
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+ "arguments": {
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+ "prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.",
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+ "output_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4",
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+ "lora_path": null,
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+ "quant_type": "fp8-per-token-sgl",
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+ "include_patterns": "double_blocks"
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+ }
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+ }
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_310_The video begins with a rapid zoom towards a vibra_config.json ADDED
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+ {
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+ "timestamp": "2026-05-14T06:39:25.998868",
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+ "task": "t2v",
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+ "arguments": {
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+ "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.",
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+ "valid_video_csv": [
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+ ],
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+ "output_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val2/step_000100/sample_005_seed_310_The video begins with a rapid zoom towards a vibra.mp4",
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+ "original_noise_dir": null,
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+ "save_generation_config": true,
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+ "checkpoint_path": "/root/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/checkpoint-100/transformer",
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+ "lora_path": null,
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+ "use_fp8_gemm": false,
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+ "quant_type": "fp8-per-token-sgl",
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+ "include_patterns": "double_blocks"
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+ }
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+ }
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra_config.json ADDED
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+ {
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+ "timestamp": "2026-05-14T03:11:55.138217",
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+ "task": "t2v",
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+ "transformer_version": "480p_t2v",
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+ "output_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val1/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4",
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+ "arguments": {
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+ "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.",
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+ "valid_video_csv": [
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+ "assets/video_gen_eval_top100.csv"
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+ ],
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+ "negative_prompt": "",
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+ "resolution": "480p",
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+ "output_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val1/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4",
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+ "original_noise_dir": null,
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+ "save_generation_config": true,
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+ "checkpoint_path": "/root/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/checkpoint-100/transformer",
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+ "lora_path": null,
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+ "quant_type": "fp8-per-token-sgl",
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+ "include_patterns": "double_blocks"
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+ }
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+ }
outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra_config.json ADDED
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+ {
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+ "timestamp": "2026-05-13T23:44:44.587390",
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+ "task": "t2v",
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+ "transformer_version": "480p_t2v",
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+ "output_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4",
6
+ "arguments": {
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+ "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.",
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+ "valid_video_csv": [
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+ "assets/video_gen_eval_top100.csv"
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+ ],
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+ "negative_prompt": "",
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+ "resolution": "480p",
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+ "sparse_attn": false,
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+ "offloading": false,
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+ "overlap_group_offloading": false,
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+ "dtype": "bf16",
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+ "seed": 930,
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+ "image_path": null,
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+ "output_path": "./outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4",
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+ "original_noise_dir": null,
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+ "cache_type": "deepcache",
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+ "cache_step_interval": 4,
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+ "save_generation_config": true,
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+ "checkpoint_path": "/root/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/checkpoint-100/transformer",
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+ "lora_path": null,
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+ "use_fp8_gemm": false,
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+ "quant_type": "fp8-per-token-sgl",
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+ "include_patterns": "double_blocks"
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+ }
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+ {
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+ {
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+ {
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