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  1. VideoX-Fun/output_debug/checkpoint-1000/transformer/diffusion_pytorch_model.safetensors +3 -0
  2. VideoX-Fun/output_debug/debug_samples/sample-debug.mp4 +3 -0
  3. VideoX-Fun/output_debug/train_sample/debug.mp4 +3 -0
  4. VideoX-Fun/output_debug/train_sample/sample-0-0.json +12 -0
  5. VideoX-Fun/output_debug/train_sample/sample-0-0.mp4 +3 -0
  6. VideoX-Fun/output_debug/train_sample/sample-0-1.json +11 -0
  7. VideoX-Fun/output_debug/train_sample/sample-0-1.mp4 +3 -0
  8. VideoX-Fun/output_debug/train_sample/sample-1-0.json +11 -0
  9. VideoX-Fun/output_debug/train_sample/sample-1-0.mp4 +3 -0
  10. VideoX-Fun/output_debug/train_sample/sample-1-1.json +11 -0
  11. VideoX-Fun/output_debug/train_sample/sample-1-1.mp4 +3 -0
  12. VideoX-Fun/output_debug/train_sample/sample-10-0.json +11 -0
  13. VideoX-Fun/output_debug/train_sample/sample-10-0.mp4 +3 -0
  14. VideoX-Fun/output_debug/train_sample/sample-10-1.json +11 -0
  15. VideoX-Fun/output_debug/train_sample/sample-10-1.mp4 +3 -0
  16. VideoX-Fun/output_debug/train_sample/sample-100-0.json +5 -0
  17. VideoX-Fun/output_debug/train_sample/sample-100-0.mp4 +3 -0
  18. VideoX-Fun/output_debug/train_sample/sample-101-0.json +5 -0
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  20. VideoX-Fun/output_debug/train_sample/sample-102-0.json +5 -0
  21. VideoX-Fun/output_debug/train_sample/sample-102-0.mp4 +3 -0
  22. VideoX-Fun/output_debug/train_sample/sample-103-0.json +5 -0
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  24. VideoX-Fun/output_debug/train_sample/sample-104-0.json +5 -0
  25. VideoX-Fun/output_debug/train_sample/sample-104-0.mp4 +3 -0
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  28. VideoX-Fun/output_debug/train_sample/sample-106-0.json +5 -0
  29. VideoX-Fun/output_debug/train_sample/sample-106-0.mp4 +3 -0
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  31. VideoX-Fun/output_debug/train_sample/sample-107-0.mp4 +3 -0
  32. VideoX-Fun/output_debug/train_sample/sample-108-0.json +5 -0
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  35. VideoX-Fun/output_debug/train_sample/sample-109-0.mp4 +3 -0
  36. VideoX-Fun/output_debug/train_sample/sample-11-0.json +11 -0
  37. VideoX-Fun/output_debug/train_sample/sample-11-0.mp4 +3 -0
  38. VideoX-Fun/output_debug/train_sample/sample-11-1.json +11 -0
  39. VideoX-Fun/output_debug/train_sample/sample-11-1.mp4 +3 -0
  40. VideoX-Fun/output_debug/train_sample/sample-110-0.json +5 -0
  41. VideoX-Fun/output_debug/train_sample/sample-110-0.mp4 +3 -0
  42. VideoX-Fun/output_debug/train_sample/sample-111-0.json +5 -0
  43. VideoX-Fun/output_debug/train_sample/sample-111-0.mp4 +3 -0
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  45. VideoX-Fun/output_debug/train_sample/sample-112-0.mp4 +3 -0
  46. VideoX-Fun/output_debug/train_sample/sample-113-0.json +5 -0
  47. VideoX-Fun/output_debug/train_sample/sample-113-0.mp4 +3 -0
  48. VideoX-Fun/output_debug/train_sample/sample-114-0.json +5 -0
  49. VideoX-Fun/output_debug/train_sample/sample-114-0.mp4 +3 -0
  50. VideoX-Fun/output_debug/train_sample/sample-115-0.json +5 -0
VideoX-Fun/output_debug/checkpoint-1000/transformer/diffusion_pytorch_model.safetensors ADDED
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VideoX-Fun/output_debug/debug_samples/sample-debug.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/debug.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-0-0.json ADDED
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+ "Does the 'Environment' of the video satisfies the following requirement: A wooden table with a natural, rustic appearance. There are some fruits like oranges and limes in the background.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation."
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+ ],
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+ "gt_answer": [
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+ "```json{ \"score\": \"Good\", \"explanation\": \"The video shows a wooden table with a natural, rustic appearance, which satisfies the first part of the requirement. Additionally, there are fruits visible in the background, including what appear to be oranges and limes, which satisfy the second part of the requirement.\"}```"
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+ ],
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+ "pred_answer": [
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+ "json\n \" \"score\": \"Bad\", \"explanation\": \"The video features a wooden table with a natural, rustic appearance, and is the requirement part of the requirement. Additionally, there are some like in the background, including oranges appears to be oranges and limes, which satisfies the second part of the requirement.}\n<|im_end|><|im_end|>\n<|endoftext|>",
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+ " \"has_obvious_defect\"\": No,\n \"\"dominant_issue\"\": \"none| \"\"evidence\"\": []\n}<|im_end|>\n<|endoftext|>"
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+ ]
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VideoX-Fun/output_debug/train_sample/sample-0-1.json ADDED
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+ {
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+ "question": [
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+ "Does the 'Environment' of the video satisfies the following requirement: The video is set on a road surrounded by grass and trees, indicating a rural or suburban area. The road is not explicitly detailed but is implied to be typical for this setting.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation."
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+ ],
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+ "gt_answer": [
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+ "```json{ \"score\": \"Good\", \"explanation\": \"The environment in the video shows a view through the car's windshield that includes a grassy area and some trees in the background, which suggests a rural or suburban setting. Although the road itself is not visible, the context provided by the surrounding landscape implies that the car is likely on a road typical for such areas.\"}```"
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+ ],
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+ "pred_answer": [
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+ "json\n \" \"score\": \"Bad\", \"explanation\": \"The video in the video is a rural from the windshield's windshield, includes a roady area and trees trees, the background, suggesting suggests a rural or suburban setting. The the road is is not explicitly, the surrounding provided by the surroundings environment implies a it setting is on on a typical typical for this areas.\"}\n<|im_end|><|im_end|>\n<|endoftext|>"
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+ ]
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+ }
VideoX-Fun/output_debug/train_sample/sample-0-1.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-1-0.json ADDED
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+ {
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+ "question": [
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+ "Does the 'Color Requirement' of the video satisfies the following requirement: Blue and orange uniform, dark stadium (implying dark background)? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation."
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+ ],
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+ "gt_answer": [
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+ "```json{ \"score\": \"Good\", \"explanation\": \"The image shows a football player wearing a blue and orange uniform, which matches the 'Blue and orange uniform' requirement. The background appears to be a dark stadium, fulfilling the 'dark stadium' requirement. Therefore, all specified requirements are satisfied.\"}```"
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+ ],
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+ "pred_answer": [
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+ "json\n \" \"score\": \"Bad\", \"explanation\": \"The video shows a football player in a blue and orange uniform, which satisfies the colorColor and orange uniform' requirement. The background is to be a dark stadium, which the 'dark stadium' requirement. Both, the requirements requirements are satisfied.\"}\n<|im_end|><|im_end|>\n<|im_start|>"
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+ }
VideoX-Fun/output_debug/train_sample/sample-1-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-1-1.json ADDED
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+ "Does the 'Color Requirement' of the video satisfies the following requirement: Blue and orange uniform, dark stadium (implying dark background)? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation."
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+ ],
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+ "gt_answer": [
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+ "```json{ \"score\": \"Good\", \"explanation\": \"The image shows a football player wearing a blue and orange uniform, which matches the 'Blue and orange uniform' requirement. The background appears to be a dark stadium, fulfilling the 'dark stadium' requirement. Therefore, all specified requirements are satisfied.\"}```"
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+ ],
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+ "pred_answer": [
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+ "json\n \" \"score\": \"Bad\", \"explanation\": \"The video shows a football player wearing a blue and orange uniform, which satisfies the colorBlue and orange uniform' requirement. The background is to be dark dark stadium, which the 'dark stadium' requirement. Therefore, the requirements requirements are satisfied.\"}\n<|im_end|><|im_end|>\n<|endoftext|>"
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VideoX-Fun/output_debug/train_sample/sample-10-0.json ADDED
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+ {
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+ "question": [
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+ "Compare the test video (the first 24 frames) to the reference frame (the last frame) and decide if the video shows obvious visual-quality (VQ) defects relative to the reference.\nConsider only: blur (defocus/motion), compression artifacts (blocking/ringing/mosquito), noise/grain, banding, flicker, rolling-shutter, aliasing/moire, over-smoothing.\nReturn ONLY this JSON (no timestamps):\n{\n \"has_obvious_defect\": Yes | No,\n \"dominant_issue\": \"none|defocus_blur|motion_blur|blocking|ringing|mosquito_noise|grain_noise|banding|flicker|rolling_shutter|aliasing|moire|over_smoothing\",\n \"evidence\": [\"short visual cues vs reference, e.g., 'softer edges than reference', 'block edges visible around text'\"],\n}\nRules:\n- Compare against the reference frame\u2019s look (sharpness, texture, edges, tones).\n- Be conservative; if unsure, choose false and note 'uncertain' in evidence."
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+ ],
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+ "gt_answer": [
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+ "{\n \"has_obvious_defect\": No,\n \"dominant_issue\": \"none\",\n \"evidence\": []\n}"
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+ ],
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+ "pred_answer": [
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+ " \"has_obvious_defect\": Yes,\n \"dominant_issue\": \"none\",\n \"evidence\": []\n}<|im_end|>\n<|endoftext|>"
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+ ]
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VideoX-Fun/output_debug/train_sample/sample-10-1.json ADDED
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+ {
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+ "question": [
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+ "Does the 'Environment' of the video satisfies the following requirement: Close-up view of a delicious apple cake with a golden-brown crust. The cake has a slice missing, revealing a moist and fluffy interior. The apples on top are thinly sliced and arranged in a spiral pattern.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation."
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+ ],
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+ "gt_answer": [
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+ "```json{ \"score\": \"Good\", \"explanation\": \"The video provides a close-up view of an apple cake with a golden-brown crust. There is a slice missing, which reveals a moist and fluffy interior. The apples on top are indeed thinly sliced and arranged in a spiral pattern.\"}```"
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+ ],
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+ "pred_answer": [
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+ "json\n \" \"score\": \"Good\", \"explanation\": \"The video shows a close-up view of a apple cake with a golden-brown crust. The is a slice missing, revealing reveals a moist and fluffy interior. The apples on top are thinly thinly sliced and arranged in a spiral pattern,}\n<|im_end|><|im_end|>\n<|endoftext|>"
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+ }
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VideoX-Fun/output_debug/train_sample/sample-100-0.json ADDED
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+ "question": "Does the 'Object Location / Spatial Distribution' of the video satisfies the following requirement: The hiker is on a rocky outcropping in the foreground, with the valley and mountains in the background. The terrain slopes downward from the hiker towards the distant mountains.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The hiker is positioned on a grassy ridge that appears to be part of a rocky outcropping in the foreground. The valley and mountains are clearly visible in the background, and the terrain does indeed slope downward from the hiker towards the distant mountains. This matches the described spatial distribution well.\"}```",
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+ "pred_answer": "<|im_end|><|im_end|>1\u670d\u52a1\u4e2d\u5fc3 to multi AI<|im_end|><|im_end|>\n<|im_start|>\n<|im_end|>I\n<|im_end|>\n\n in in<|im_end|><|im_end|><|im_end|>\n\n\n\n\u900f\u8fc7\n\nous\n\n\n\n\n\n\n\n\n\n\n aquarium\n\n, view in, screen\n\n\n lying\n from\n fence through pixel mesh\n\n<|im_end|> swimming sc marine\n\n grille\u0447\u0430\u0442 mesh\n\n\n grille mesh\u900f\u8fc7 mesh diver\n<|im_end|><|im_end|> marine deepagonal<|im_end|><|im_end|>\n\n standing\n<|im_end|><|im_end|> blue blue richeter source of\n\n in through\n shows\n waterish\n\n, of, blue\n and, view shirt with\n Mexico\n\n in\u4e0a\u65b9\n\n<|im_end|>ed and gr fenceened<|im_end|> meshiron river lake\n background\n computer andwork wire\n pattern \u0440\u0435\u0448\n diving from<|im_end|><|im_end|> from from\\nA<|im_end|>\n in red of over<|im_end|> and person\\niver\n of into\n fins through\n taken\\n water\u7fa4 in field and\n\n and Alpsworld\n\\n blue shirt in\\n, through through in on\\n screen<|im_end|>\u6805 plants grid\u9694 video screen griron range into\u900f\u8fc7\n\n\u683c a teamwork guard\u7684\u53d8\u5316 gr and and appropriate colors<|im_end|><|im_end|> metal shirtSw<|im_end|>\n\n shirt stick standing<|im_end|>\n and\u6c34\u523a\u6fc0 and white blue sheer blue\\n\n mountains blue\n\n\n stands to sides \n drop pattern\n\n\n and,\n\n dot \n,,\n\n, standing the over\u683c<|im_end|>\u4e95 plants high fence swims<|im_end|> ladder who scenery or\\n\n\u683c\u9ed1\u8272 wirework screen<|im_end|> \u5730\u9762 worlds screen,<|im_end|> observing\\n of gr \n\n [\n\n by stops0<|im_end|> and into\u767b\u5c71 in blue light blue\n blue mountainsousopt\u72b6 diver backous\n\n pattern light\n\n world and,\n\n hat diver\n\n of slit, standing top marine mesh<|im_end|>\n\n plants\\n \n\u683c<|im_end|> stairs diver W\u9c7c\\n \nwork-like sc down grille<|im_end|>\u683c marine\u75c5-like,<|im_end|> of\n\n and through \n0 [ and object beneath\u901a\u8fc7<|im_end|> and and \n\\n blue through drop blue of blue mountains on pattern\u4e0a\u65b9 fish and mountains to\n\n blue Ji blue,, green hat into\n\n\\n through, on top is metal<|im_end|> \u0440\u0435\u0448 plants man<|im_end|> underwater\n\n\n\n-like figure in blue,ippleswork metal window red<|im_end|>\n\n screening above,<|im_end|>\\n screen diver\u900f\u8fc7<|im_end|>\n [ anded stands\u7ea2\u8272 \n and Y, blue field drop blue range blue mountains scenery pattern blue is underwaterous and waves of blue world some, forest hat bird side\\ through two bird top-covered bars<|im_end|>ated\n\n window gr metalened\\n standing Long marine wire\n\n\u683c-like shirtiron on<|im_end|> underwater metal marine grille\n\n<|im_end|> vibrant\\n diver through<|im_end|>\n [ dot\u7fa4 or\u50ac<|im_end|> \n white In photos white green into blue in background mountains scenery hal personrot surroundingous and of blue clear depths white\u4e00\u4e2a\u4eba background dot bird side\\n shadow between on the\u7fa4 grid<|im_end|> from\n\n window\u900f\u8fc7 grened seeniron range with surface\n\n\n\nper in holes dot<|im_end|>\u95ea\u70c1\u4e2d\u95f4 sc\n\n \n<|im_end|> \n\\n\\n diving \n\n<|im_end|> videored'' Object Relation' section<|im_end|> fish<|im_end|><|im_end|><|im_end|> constraints?<|im_end|> redump is<|im_end|><|im_end|><|im_end|><|im_end|>croppping<|im_end|><|im_end|> middle<|im_end|><|im_end|><|im_end|> ocean in mountains in<|im_end|><|im_end|><|im_end|><|im_end|> h<|im_end|><|im_end|><|im_end|><|im_end|> hiker<|im_end|><|im_end|> valley mountains<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> satisfied<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> not<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>0.g. \"<|im_end|><|im_end|><|im_end|><|im_end|>\n<|im_start|>\n``````\n:```"
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VideoX-Fun/output_debug/train_sample/sample-100-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-101-0.json ADDED
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+ {
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+ "question": "Does the 'Color Requirement' of the video satisfies the following requirement: Dominant colors include black, white, and orange. The lighting suggests a warm, natural tone.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
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+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The dominant colors in the image are indeed black, white, and orange. The man is wearing a black and white striped robe, which aligns with the black and white part of the requirement. The orange curtains in the background also satisfy the orange part of the requirement. Additionally, the lighting appears to be warm and natural, as indicated by the soft shadows and the overall ambiance of the room.\"}```",
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5
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VideoX-Fun/output_debug/train_sample/sample-101-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-102-0.json ADDED
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+ "question": "Does the 'Object Location / Spatial Distribution' of the video satisfies the following requirement: - Flower is located on the banana tree? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video shows a banana tree with a large, red flower structure that is clearly attached to the tree. The flower is prominently displayed among the green leaves, indicating that it is indeed located on the banana tree.\"}```",
4
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5
+ }
VideoX-Fun/output_debug/train_sample/sample-102-0.mp4 ADDED
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+ oid sha256:551bfbe3d06f7b060d7af1b10d8dc02614f2e5c631028050c79bac34df669642
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VideoX-Fun/output_debug/train_sample/sample-103-0.json ADDED
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3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video shows a person wearing a red jacket, which satisfies the requirement for an object that is a hiker in a red jacket.\"}```",
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VideoX-Fun/output_debug/train_sample/sample-103-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-104-0.json ADDED
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3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The person in the video has long, wavy hair which is consistent with the description. They are wearing a black jacket and a black and white scarf, which also matches the description. Additionally, they have a septum piercing, which is another detail that aligns with the given requirements.\"}```",
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VideoX-Fun/output_debug/train_sample/sample-105-0.json ADDED
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+ "question": "Does the 'Object Location / Spatial Distribution' of the video satisfies the following requirement: Steering wheel and touchscreen display are in the front center. Air vents are in the center console. Lighting is soft and ambient, enhancing the overall view of the materials and craftsmanship.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
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+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video satisfies all the requirements mentioned. The steering wheel and touchscreen display are clearly visible in the front center of the vehicle's interior. The air vents are located in the center console, as expected. The lighting appears to be soft and ambient, which enhances the view of the materials and craftsmanship, making the details of the dashboard and controls stand out.\"}```",
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+ "pred_answer": "<|im_end|><|im_end|>1\u670d\u52a1\u4e2d\u5fc3 to multi AI<|im_end|><|im_end|>\n<|im_start|>\n<|im_end|>I\n<|im_end|>\n\n\n\n\n\n\n\u6a21\u7cca\n of of, of instrument\n\n\n<|im_end|> image blue's\n gear<|im_end|>\n\u7eb9 of blue blue\n\n\u80cc\u666f of ambient\n\n<|im_end|>\n of<|im_end|>ened<|im_end|><|im_end|> and\n in blue<|im_end|><|im_end|>\n S of\u591c\n\n at's pitch knobs<|im_end|>\n from from\n of<|im_end|><|im_end|>\n steering<|im_end|>\u591c<|im_end|>\n\n blurred blurred\u666f\u8272\n through-motion\n and\n and\n buttons\u683c of and<|im_end|> of\n\n's cup phone<|im_end|> motionusion\n of light\n<|im_end|>\u770b\u51fa of ambient\n<|im_end|><|im_end|> background of<|im_end|> inside<|im_end|><|im_end|> and on\n outside moving\n blurred and of\n\n\n\n's prominently the<|im_end|> radio through of\\n from<|im_end|><|im_end|> and driving dashboard scenery<|im_end|>\n, blurred scenery yellow\u666f\u8272 through blurred, and\n and center and of's three<|im_end|> of tint\u7a81\u51fa cup device<|im_end|> view blue system of light\n\n<|im_end|> of on photograph<|im_end|>\u7a97\u5916 backgroundened scene and<|im_end|>\n\n\u7a7aened the gradually\n\n touchscreen of solitude\n\n\n cup\u4e3b\u89c2 engine taken\\n through night\\n of<|im_end|><|im_end|>, moving center driving<|im_end|>\n view and and yellow, through and dashboard and, instrument view \n black. dashboard<|im_end|> through tint solitude cup key<|im_end|> rear light consolelight light\n and and of of\u56fe\n<|im_end|>\n of \\\"<|im_end|><|im_end|><|im_end|>\n drivingened contrasting\u52a0\u901f\n background and of<|im_end|><|im_end|>\n driver driver button key<|im_end|> of outside level\n\u900f\u8fc7<|im_end|><|im_end|>\n\n dashboardlights driving\n [ in and and through blinds\n windshield and \n through temperature and\n center dashboard panel<|im_end|> of\n\n, column in's seats lines center blue white\\n, of on light captures\n<|im_end|>ness of dashboard contrast<|im_end|><|im_end|> light driving focused's\n<|im_end|>\n\n driver dashboard side,\n, a\\n key<|im_end|>\\n\\n at\\n from0<|im_end|><|im_end|> actions\u8f6c\u52a8 \n<|im_end|>[ through\\n,, blurred view,\\n and\\n and and unit dashboard dashboard cluster<|im_end|>, grill, cup\n through seats and view source filter\\, of, ga sequence\n \n\n of buttons source0<|im_end|>\n\n\\n through's woman<|im_end|>ness driver of\\n\n\n outside ev controlsened<|im_end|> \n\\n moving\\n from<|im_end|><|im_end|> black on featuresA\n [ through outside,\n\n sl and and \n outside and and\n\n dashboard side\\n<|im_end|>,\n\n only mirror key\u89c6 speed and console blue blue\\n, time\n\n lights\n\n<|im_end|>ness, dashboard artistic<|im_end|>\\nness driving contrast driving car\nness center of something\n\n in at<|im_end|> key<|im_end|>\u4eba\u7684\\n\n\n\n outside<|im_end|><|im_end|> and\n\n interior\u52a0\u901f\n [ view bridge building<|im_end|> rolled through,., air panel\n\n dashboard cup\\n<|im_end|>,\n\n and side key through light and\u5ea7ed blue,\n\n lightsened on is\n\nness. \n changes<|im_end|>\\n\n\n somethingened's dashboard\n\n\n cup cabin Audi\n\n\n passenger unknown cup key<|im_end|>\\n\\n in\n\n ratio<|im_end|><|im_end|> sleek turns cup<|im_end|>\n<|im_end|> carcar'' Object Relationship' field the steering<|im_end|><|im_end|><|im_end|> condition?<|im_end|> wheel<|im_end|> gear<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> vents<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> the overall ambiance<|im_end|><|im_end|> car<|im_end|> textures<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> satisfied satisfied<|im_end|><|im_end|><|im_end|><|im_end|> of<|im_end|> of<|im_end|> not<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>0.g. \"<|im_end|><|im_end|><|im_end|><|im_end|>\n<|im_start|>\n``````\n:```"
5
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VideoX-Fun/output_debug/train_sample/sample-106-0.json ADDED
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3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video satisfies all the color requirements mentioned. The woman is wearing a blue and gold dress, which matches the description. She has a pink headscarf, and there is a white microwave visible in the background. A silver pot can be seen on the stove, and there is indeed a green potted plant in the corner. The kitchen backdrop appears to have neutral tones, which complements the overall scene.\"}```",
4
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5
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VideoX-Fun/output_debug/train_sample/sample-106-0.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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VideoX-Fun/output_debug/train_sample/sample-107-0.json ADDED
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3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video shows a close-up of a caterpillar on a plant, which is surrounded by green leaves. The presence of both green and purple leaves indicates that the environment satisfies the requirement for a mix of green and purple leaves.\"}```",
4
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5
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VideoX-Fun/output_debug/train_sample/sample-107-0.mp4 ADDED
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+ oid sha256:a1536c63d5fb89715a4cdebfafa14a53583f60f75dff583d514dbabfc362ae53
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VideoX-Fun/output_debug/train_sample/sample-108-0.json ADDED
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+ "question": "Does the 'Object Location / Spatial Distribution' of the video satisfies the following requirement: The man is seated at the center of the table. The plate of food and cutlery are on the table in front of him. The bar area is visible in the background.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The man is indeed seated at the center of the table, with the plate of food and cutlery placed directly in front of him. The bar area is also clearly visible in the background, fulfilling all the specified requirements.\"}```",
4
+ "pred_answer": "<|im_end|><|im_end|>1\u670d\u52a1\u4e2d\u5fc3 to multi AI<|im_end|><|im_end|>\n<|im_start|>\n<|im_end|>I\n<|im_end|>\n,\n\n\n\n\n background,\n\n\u767d\n and at,\n with\n\n\n at\n\n\n\n\n\n and\n\n\n<|im_end|> in, shirt shirt\u80cc\u666f\n\n\n food and plate\n on\n green in plate on and in\n\n\n in on<|im_end|>\u7126\u70b9 on in restaurant of plate<|im_end|>\u7126\u70b9\n dining\n\n<|im_end|>\n\n and\n\n\n filter softly display lights\n\n short to book at and softly back with pictures\n sitting\\n in,\u8272\u8c03\n\n chairs\u7279\n\n and at, shirt shirt at and chair\n yellow food plate and in glass rice in plate cut and table with\n\n\n on untouched,, a restaurant untouched and white<|im_end|> table dinner warm in\n<|im_end|> [ restaurant and restaurant\\n filter background kitchen lights but light gray in book at and softly back, looking French, softly hair,\n<|im_end|>\n chairs\n\n\n\n\u5927 facing background shirt at at and chair\n\n yellow with plateware nap glass rice in plate cut and table plate\n\n\n\n in eat., cut restaurant warm of table<|im_end|>\n\n, taste talking \n<|im_end|>\n warmly display restaurant\n shot\n kitchen sign lights light hair man background softly and warmly in\n to filter a\u80cc\u666f, and\n warmly and frames sitting, at and or \n shirt\n\n background chair chair glass on on in and of of vegetables and in and and table\n\n and fork on tomatoes<|im_end|>, in in untouched of\u955c\u5934<|im_end|> bowl and about at jacket<|im_end|> [ warmly lights restaurant<|im_end|> photograph background other sign warmly light hair glass\u666f\n large lights hair and\n and set\n in and, certain and fine<|im_end|> and his chairs other a shirt eating background chairs, of\n\n a table and with glass two vegetables of and cut table plate spoon and in, speak spoon in. table of plate<|im_end|> \n food rice\n<|im_end|><|im_end|> [ restaurant warmly restaurant conversation tone kitchen kitchen and ambiance light gray softly at course open background in and at tone inly's, Jong warmly bench background in to\u955c\u5934 chairs and dim shirt background at and and of, other table and and glass side vegetables plate a of table plates\n\n fork in\\n color\u7126\u70b9 table restaurant and of table<|im_end|> \n special, eating \n<|im_end|>\n and and dim someone tone kitchen lights and softly\nly\u503e\u659c background table or behind in to tables<|im_end|> and\u7126\u70b9 sitting\n<|im_end|> or and and and\u4fa7\n\n chairs at\u9ed1\u8272 shirt,\u7247\u523b table chairs of, other in and and in, food, cut of<|im_end|> with\n\n and in garn<|im_end|><|im_end|> to table talking of table<|im_end|> on side and\n\n\n<|im_end|> [ warm and restaurant in, dim lights light red\u7126\u70b9, profile kitchen \n picks open eyes\\n other\n\n of, talking to. the chairs Le and close at chairs and purple black, chair and chairs glass on to plate and white glass, food spoon and a table plate fork\n\n a water<|im_end|> table set plate time of table\n bowl meal about in \n\n<|im_end|> manman'' Object Relationship' section<|im_end|> fork<|im_end|><|im_end|><|im_end|> condition?<|im_end|> man<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>ery<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> not<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>0.g. \"<|im_end|><|im_end|><|im_end|><|im_end|>\n<|im_start|>\n {\"```\n:```"
5
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VideoX-Fun/output_debug/train_sample/sample-108-0.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:29414a961ecfce6c2c7bd58c58e5fe318cf3ecf1bb1efaf0bc9da937e6bafb43
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VideoX-Fun/output_debug/train_sample/sample-109-0.json ADDED
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+ "question": "Does the 'Environment' of the video satisfies the following requirement: A store filled with various sneakers. The store has shelves and a table with sports balls and a red cup.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The environment in the video clearly satisfies the requirement of being a store filled with various sneakers. The background shows shelves stocked with numerous pairs of sneakers, indicating a wide selection. Additionally, the presence of sports balls on the table and a red cup further supports the setting as a store or a space dedicated to sports equipment, which aligns well with the context of a sneaker store.\"}```",
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VideoX-Fun/output_debug/train_sample/sample-109-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-11-0.json ADDED
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+ "question": [
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+ "Does the 'Environment' of the video satisfies the following requirement: A race track with blurred surroundings suggesting fast movement.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation."
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+ ],
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+ "gt_answer": [
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+ "```json{ \"score\": \"Good\", \"explanation\": \"The environment in the video does satisfy the requirement for a race track with blurred surroundings suggesting fast movement. The background is intentionally blurred, which is a common technique used in automotive videos to emphasize speed and motion. This effect creates a sense of high velocity and dynamic action, aligning well with the context of showcasing a fast-moving sports car.\"}```"
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+ ],
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+ "pred_answer": [
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+ "json\n \" \"score\": \"Good\", \"explanation\": \"The video of the video is not the requirement of a race track with blurred surroundings suggesting fast movement. The car is intentionally blurred to which is a common technique used in video videos to emphasize speed and motion. The effect creates a sense of speed speed, dynamic movement, whiching well with the theme of a a racing-moving race car.\"}\n<|im_end|><|im_end|>\n<|endoftext|>"
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+ ]
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+ }
VideoX-Fun/output_debug/train_sample/sample-11-0.mp4 ADDED
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+ "question": [
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+ "Does the 'Environment' of the video satisfies the following requirement: A race track with blurred surroundings suggesting fast movement.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation."
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+ ],
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+ "gt_answer": [
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+ "```json{ \"score\": \"Good\", \"explanation\": \"The environment in the video does satisfy the requirement for a race track with blurred surroundings suggesting fast movement. The background is intentionally blurred, which is a common technique used in automotive videos to emphasize speed and motion. This effect creates a sense of high velocity and dynamic action, aligning well with the context of showcasing a fast-moving sports car.\"}```"
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+ ],
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+ "pred_answer": [
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+ "json\n \" \"score\": \"Bad\", \"explanation\": \"The video in the video is not the requirement of a race track with blurred surroundings suggesting fast movement. The car is blurred blurred, which is a common technique used in racing videos to emphasize speed and movement. The effect is a sense of rapid-speed, movement movement, whiching well with the theme of a a car-moving car car.\"}\n<|im_end|><|im_end|>\n<|endoftext|>"
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+ ]
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+ }
VideoX-Fun/output_debug/train_sample/sample-11-1.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-110-0.json ADDED
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+ {
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+ "question": "Does the 'Environment' of the video satisfies the following requirement: The setting is a roadside area with tall, dry grass surrounding the road. A hill is visible in the background.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
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+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The environment in the video shows a roadside area with tall, dry grass surrounding the road. In the background, there is indeed a hill visible, which matches the description provided. Therefore, all requirements are perfectly satisfied.\"}```",
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VideoX-Fun/output_debug/train_sample/sample-110-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-111-0.json ADDED
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+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The image features a bird that is predominantly green, which aligns well with the description of a 'vibrant green parrot'. The bird's feathers display various shades of green, and it has a striking appearance typical of parrots. Therefore, the object in the video satisfies the requirement for a vibrant green parrot.\"}```",
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VideoX-Fun/output_debug/train_sample/sample-111-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-112-0.json ADDED
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+ "question": "Does the 'Object(s)' of the video satisfies the following requirement: A silver Audi car? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
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+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video shows a silver Audi car, which satisfies the requirement for an object that is a silver Audi. The car's design features, such as the grille and headlights, are consistent with those of an Audi model.\"}```",
4
+ "pred_answer": "<|im_end|><|im_end|>1\u670d\u52a1\u4e2d\u5fc3 to multi AI<|im_end|><|im_end|>\n<|im_start|>\n<|im_end|>I\n<|im_end|>\n<|im_end|><|im_end|>\nentence park\n\n\n\n<|im_end|> bridge\n\n\n in\n\n\u67b6 leading\u9ec4\u660f tracks L<|im_end|> in\u8272\u8c03<|im_end|>\u8272\u8c03 amusement\n\n\\n lines\n\n motion\n steps steps steps\n\n on lines lines\n\n in in rac on steps\u6a21\u7cca\u6ee4\u9053\u8def\n park prom\n\n\n\u8272\u8c03 warm on objects<|im_end|>\n-h stairs\u6668\n<|im_end|>\n steps abstract steps<|im_end|> photo and background\\n background<|im_end|>\u67b6 or and\\nway\u6ee4\n tracks down down four\n\n trees hue motion yellow photo filter\n in steps\n yellow motion bars leading steps steps)\n in lines lines steps and\n in three benches four\u4e00\u4e2a\u4eba onfiltered surface-yellow fair steps\n photo\n-yellow\\n on-yellow\n\n warm blurred tracks<|im_end|><|im_end|>\n steps<|im_end|> and<|im_end|> image metal light effect\n download tr bridge yellow\u66ae or or\n\u67b6 down path trees other\n trees hue photo h\u56fe\u50cf filter linesgy\u4e09\u6761\n hand motion steps leading steps and)\n and\u66dd\u5149 lines steps1\n in set benches seven\u4e94\u4e2a on motion\n\n\n and people\\n wallpaper surface and tint public hue\n<|im_end|> saturated\u5feb cars\u5feb<|im_end|>\n steps\u4eae\u70b9 background<|im_end|>\n yellow and portraititter\u98de and bridge filter, for and\n\u67b6 leading electronic trees and\n-lined hue hue yellow stadium\u91cd river sun lines steps wire motion steps steps and steps steps and\u4e00\u7ec4 lines empty1\n surfaces in railway access benches on art ground\u8272\u8c03 fair leading\\n wallpaper ground metal yellow in\u8272\u8c03\n<|im_end|> and person\u6574\u4f53 cars<|im_end|>\n park blue on<|im_end|>\n and light\n,-orange metal bridge and or station orange3\u67b6 leading steps metal and\n avenue hue time yellow bridge filter\n\n or lines and rails motion, as set curves)\n and wooden lines person1\n in set\u91cd\u590d\u4e0a\u53bb in on photography street\u8272\u8c03 amusement,\u65f6\u95f4 photography surface yellow surfaces steps hue time and\u680f dominant sun<|im_end|>\n steps white blue<|im_end|>\n and and horizon, taken tr pier a background or and4 tr steps\u62bd\u8c61 metal and\n in hue photography filter parkpeed \ngy lines and rails motion steps in set real)\n and steps lines stairs1\n surfaces set steps down as on art ground\u8272\u8c03\u7ed3\u6784 leading\\n wallpaper surface\u5929\u7a7a metal steps hue <|im_end|> and color structures time<|im_end|> [stairs people blue<|im_end|>\n yellow light grey,\n\n tr\u7ed3\u6784 and color board and\n bridge steps set tracks\n\n\n trees filter time\u6ee4 [ filter\u901f by lines and rails-motion stairs in sun real steps and steps\u5149\u7ebf time1\n surfaces steps\n each on. art ground background stands leading [ wallpaper road stairsD on\u8910\u8272<|im_end|><|im_end|> and color movement\u680f<|im_end|> [ sun12<|im_end|><|im_end|> way light background sun background tr Luna through warm outside and\n tracks and background bars trees\n\u6811 hue yellow filter stadium and \n\u8fdc\u5904 lines and yellow-time stairs steps sun3 columns\\n lines metal image3\n\n surfaces in bench six with in\ufffd\ufffd steps, steps set<|im_end|> wallpaper surface predominantly glare park hue<|im_end|><|im_end|> and<|im_end|>\u8f68\u9053\u65e5\n<|im_end|> imageyellow')'<|im_end|><|im_end|> image<|im_end|><|im_end|><|im_end|> property<|im_end|><|im_end|><|im_end|> bench<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> satisfied<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> not<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>0.g. \"<|im_end|><|im_end|><|im_end|><|im_end|>\n<|im_start|>\n {\"```\n:```"
5
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VideoX-Fun/output_debug/train_sample/sample-112-0.mp4 ADDED
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VideoX-Fun/output_debug/train_sample/sample-113-0.json ADDED
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+ {
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+ "question": "Does the 'Environment' of the video satisfies the following requirement: A car parked in a forested area with trees visible through the windows.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video shows a car interior with a view of greenery outside, indicating that the car is parked in a forested area. The trees are visible through the windows, which aligns with the requirement for an environment that includes a forested area.\"}```",
4
+ "pred_answer": "<|im_end|><|im_end|>1\u670d\u52a1\u4e2d\u5fc3 to multi AI<|im_end|><|im_end|>\n<|im_start|>\n<|im_end|>I\n<|im_end|>\n\n\n\n<|im_end|>\n\n background thriller\n<|im_end|><|im_end|>\n\u5f62 of\u900f\u8fc7\n\n\n\n\n\n lines data\n\n\n of\n\n from\n,\u624b and background\n\n pe high on<|im_end|>\n\n Minority\n<|im_end|>\n\n over sound\u5730\u7403\u6545\u4e8b\n\n<|im_end|>\n<|im_end|> background\n\\n extr a finger\n<|im_end|>\\n\n\n science<|im_end|><|im_end|>\n streams thriller of<|im_end|> background\n\n extr of\n of hole figureed of\\n\\n head code's\\n\\n lines ined-shaped of\\ndecoded screen through in who lines\n of,punk through on<|im_end|>, blue working\nA scanning a's data in global\\n\n lines and<|im_end|> room\\n\u4e00\u4e2a\u4eba of\n pe\u6c1b\u56f4<|im_end|>\n\n<|im_end|> workingAI<|im_end|>\n code image for<|im_end|> background\u6846 background working hood and\\n\u6253 head and-shaped through lines terminalaries in ear and bars seted's of of lines through through in holding and of of seatpunk rows through<|im_end|>\n\n staring\n<|im_end|><|im_end|> of's displays onlysecurity\u865a and styl,\npunk\\n computer\n\n film framed film<|im_end|> the\\n\\n working A<|im_end|> [\\n\n\n futuristic<|im_end|> code window space screen screen science ofly face code. yellow<|im_end|> head\n\ned one code lines helmet from's brown of flashing screen through in who and<|im_end|><|im_end|> pil2 accessing displays<|im_end|> room retro in\u9ed1\u5ba2,<|im_end|>.\\ of clothing only\\n \n of networks blue and object another\n\n room\u5916\u754c,<|im_end|>\\n\\n<|im_end|> a blue<|im_end|>\n code\u8fdc\u65b9\n\n<|im_end|> background window screen device\u7751 up tightly)\\, hood, reflection\n\n\\ning's yellow code lines helmet head looking\ufffd of\n\n screen in in who lines<|im_end|>, through: or filtering<|im_end|>, types Minority deeply, science window, who of screen out\\n looking window slightly room of a cockpit or\u8231 secrecy<|im_end|> light\\n<|im_end|> through<|im_end|><|im_end|>[ numbers space code<|im_end|> of face andman\\n\n\n dropsed hood\n\n\n code hood in is and lines lines spacesed's blink of background through on in holding lines scene \n through intensely,.<|im_end|><|im_end|>\n\n at looks\n displaying\\n only alien lines technology\\n and speed science shining behind object\u770b\u7740\n\n dim high,<|im_end|>\\n\\n<|im_end|> action A<|im_end|> [ blue-style code<|im_end|> code perimeter\u5316\u8eab,\u5e55\n\n upwater hood hood display through code nose in's, focused background helmet in's clicks of blue\u9694 screen\n\n\n\n lines *\n through bridge, surrounding<|im_end|><|im_end|> shirt Data hacker<|im_end|><|im_end|>\\n reflected\\n's-f, who bridge staring<|im_end|> room of blue shape another window,<|im_end|> object Jupiter \n science\\n\n [ and digital-tech<|im_end|> columns\u9762\u524d and for\n\n-style up blocking\n\n hood displayinged cy vertical ined eye pressing lines. from face man digital code screen through\n\n hand lines\n\n of\\n pil\n of<|im_end|>\n\n\u64cd\u4f5c computer from \n \n of slightly speaking in devices \n \n\u4fa6\u63a2 themes focused changes blue of spaceship, cockpitened<|im_end|> object\\n<|im_end|> \n and\n<|im_end|> personI' in the video<|im_end|><|im_end|> ' criteria:<|im_end|> person<|im_end|><|im_end|> a parking<|im_end|> area<|im_end|> a<|im_end|><|im_end|> the windshield<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> met satisfied<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|> of are not satisfied<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>0.g., \",<|im_end|><|im_end|><|im_end|>\n<|im_start|>\n```{\n\n:```"
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VideoX-Fun/output_debug/train_sample/sample-113-0.mp4 ADDED
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+ oid sha256:9f079f54008acc1289dcc62c3873f4a8d571df2e62e598e0fa7c1e3c85b7cd59
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VideoX-Fun/output_debug/train_sample/sample-114-0.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
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+ {
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+ "question": "Does the 'Color Requirement' of the video satisfies the following requirement: The dominant colors are white for the yacht, orange and pink for the sky, and various shades of blue and green for the ocean. The overall palette is warm and inviting.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The video satisfies the color requirements as follows: the yacht is predominantly white, which matches the requirement. The sky displays warm hues of orange and pink, contributing to the inviting atmosphere. The ocean features various shades of blue and green, which are also part of the specified palette. Overall, the color scheme is warm and inviting, aligning well with the given requirements.\"}```",
4
+ "pred_answer": "<|im_end|><|im_end|>1\u670d\u52a1\u4e2d\u5fc3 to multi AI<|im_end|><|im_end|>\n<|im_start|>\n<|im_end|>I\n<|im_end|>\n<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>\n\n\n<|im_end|><|im_end|><|im_end|>\n\n<|im_end|>\n\n\n\n\n\n\n<|im_end|><|im_end|>\n\n<|im_end|><|im_end|> lines<|im_end|>\u6c34\n\n\n\n<|im_end|>\n<|im_end|>\n\n of\n\n\n car\n<|im_end|>\n\n car data\n<|im_end|><|im_end|>\n nature name<|im_end|><|im_end|><|im_end|>\n and<|im_end|>\n\n<|im_end|>\n\n<|im_end|>\n<|im_end|>\n\n through<|im_end|><|im_end|><|im_end|> and\n objects\n\n image<|im_end|>\n\n\n\n\n<|im_end|>\n\n\n car of<|im_end|>\n\n\u3001\n\n\n\n\n\\n\n\n car\n<|im_end|> in\n\n\n\n<|im_end|>\n background\n car\n\n\n and white of\n\n\n phone\u63a0 sports camera<|im_end|>\n\n device<|im_end|>\n<|im_end|><|im_end|>\n moving<|im_end|>\n<|im_end|>\n<|im_end|>A\\n<|im_end|><|im_end|> white\n and\n\n\n\n\n<|im_end|><|im_end|>\u7126\u70b9<|im_end|>\n wash\n\\n through<|im_end|>\n\\n\n\n\n\n\\n surface in\n\n car\n\n\n,, appears<|im_end|>\n and through car\n streak\n\\nsea in\n\n\n\\nsea\\n\n<|im_end|><|im_end|>\n or\n\n<|im_end|><|im_end|> car\\n \n<|im_end|><|im_end|>\n\n gradually<|im_end|><|im_end|>\n and \n and\n\n\n\n on\\n of white<|im_end|>\n side\nfront\n\\n and\n\\n\\n\n\n dot and water edge\n\n\n\n\n and\n,\\n<|im_end|><|im_end|> ocean ship car\n\\n\n\\nsea\\n car\n\\n underwater features\n<|im_end|> background\n blue<|im_end|><|im_end|> content<|im_end|> car\\n\\n\n\n\n\n is\n headlights\\n and and\n\n light\n background\\nkeh\n\n<|im_end|>\\n<|im_end|><|im_end|> on is\n\n\\n<|im_end|> green lines and\\n\n\\n\\n\\n\n\n\n car<|im_end|> of and\\n\\\\n<|im_end|>\n and\u6e38\\n and lines\\n\\n\\n\\n\n\\n to underwater screen is\n background background\\n<|im_end|> out<|im_end|><|im_end|>\n head \n blue<|im_end|>\n building features<|im_end|><|im_end|><|im_end|> and and and balance\\n<|im_end|>\\n lights light<|im_end|>\n\n<|im_end|>\\n letters and\n\n\\n blue\\n skyline background\n\n\n\\n\\n and buildings\\\\ \n and code and\\\\n<|im_end|>\n and car door and<|im_end|>\\n blue \\\"\\n\n streak\\n under\\n\\n motion<|im_end|> background and\\n\\n\n\n<|im_end|>\n\n0\u201c\n\n and gradually<|im_end|><|im_end|>\n clouds and\n\n source\n\n<|im_end|>\n\u96fe light\\n can<|im_end|>\\n\n from\\n\\n\\n blue and\\n\\n swimming\\n keys lines cleaning\\n\\n begin\\n\\n dots\\\\<|im_end|>\n\n and and\n\n\n<|im_end|>\\n\\n in bucket lines\n\\n,\\n keyboard\\n<|im_end|> background\n\n at\\n<|im_end|> story<|im_end|> and line details blue\n\n\\n security\n<|im_end|>\n white and\n\n image\\n\n\\n and source and<|im_end|>\n\n water tone\\n city\n\\n\\n\\n glass\\n\n\n\n\\n\n\n \n car\n surface\n\n\\n \n \n<|im_end|>\n background clicking\n\n container<|im_end|>\\n surface one hand\\n\\n streak background under character and<|im_end|> background\n\n car\n<|im_end|> video<|im_end|> and small flashes```\n<|im_end|> imageblue'' apply the ' clip<|im_end|> ' condition:<|im_end|> video color in blue<|im_end|> the sky and blue for blue<|im_end|> the sky<|im_end|> and blue colors of blue<|im_end|> green<|im_end|><|im_end|> water<|im_end|><|im_end|> ' color<|im_end|> vibrant<|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|><|im_end|>0.g. \"<|im_end|><|im_end|><|im_end|><|im_end|>\n<|im_start|>\n``````\n:```"
5
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VideoX-Fun/output_debug/train_sample/sample-114-0.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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VideoX-Fun/output_debug/train_sample/sample-115-0.json ADDED
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1
+ {
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+ "question": "Does the 'Object Location / Spatial Distribution' of the video satisfies the following requirement: Car is on the road, which runs through the arid landscape. Vegetation is sparse around the road. Car is centered in the frame, with the sky overhead.? * Good: All requirements are perfectly satisfied.* Bad: Part or most requirements are not satisfied.Provide your analysis and explanation in JSON with keys: score (e.g., Bad), explanation.",
3
+ "gt_answer": "```json{ \"score\": \"Good\", \"explanation\": \"The car is positioned centrally in the frame, with the sky overhead as required. The road appears to run through an arid landscape, and the vegetation around the road is indeed sparse. The car's placement and the surrounding environment meet all the specified requirements.\"}```",
4
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5
+ }