Download VideoX-Fun/output_debug/train_sample_full/sample-100-1.json from YFanwang/Backup: direct link, hf CLI and curl.
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- Download file 4.17 kB
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https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/output_debug/train_sample_full/sample-100-1.json
- Command line
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hf download hf://datasets/YFanwang/Backup/VideoX-Fun/output_debug/train_sample_full/sample-100-1.json
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curl -L -o sample-100-1.json https://huggingface.co/datasets/YFanwang/Backup/resolve/main/VideoX-Fun/output_debug/train_sample_full/sample-100-1.json
4.17 kB
| { | |
| "prompt": [ | |
| "The video shows a unique and eclectic collection of objects on a shelf. The main focus is a clock with a gold frame and a white face, which is adorned with a skull at the bottom. The clock is positioned in the center of the shelf, drawing attention with its unusual design. To the left of the clock, there is a stack of books with a pink cover. The books are neatly arranged, adding a touch of color to the scene. On the right side of the clock, there is a small figurine of a cat. The cat figurine is black and white, matching the color scheme of the clock. The shelf itself is white, providing a neutral background that allows the objects to stand out. The overall style of the video is simple yet intriguing, with the objects on the shelf creating a sense of curiosity and interest. The video captures the essence of a personal space, where each object has its own story and purpose." | |
| ], | |
| "video_ids": [ | |
| "G4shBqLZ2vk_50_0to106" | |
| ], | |
| "question": [ | |
| "You are a careful video forensics assistant. You are given two videos: a test video (the first 2 frames) which is ai-generated and a real video (the last 10 frames). The test video is generated by the caption of the real video. The caption is \"The video shows a unique and eclectic collection of objects on a shelf. The main focus is a clock with a gold frame and a white face, which is adorned with a skull at the bottom. The clock is positioned in the center of the shelf, drawing attention with its unusual design. To the left of the clock, there is a stack of books with a pink cover. The books are neatly arranged, adding a touch of color to the scene. On the right side of the clock, there is a small figurine of a cat. The cat figurine is black and white, matching the color scheme of the clock. The shelf itself is white, providing a neutral background that allows the objects to stand out. The overall style of the video is simple yet intriguing, with the objects on the shelf creating a sense of curiosity and interest. The video captures the essence of a personal space, where each object has its own story and purpose.\"\nYour task is evaluating whether the test video shows physics-related defects. You should compared both videos and use the provided caption as high-level intent. Focus on physical plausibility, not style or aesthetics.\nYou need to analyze it in these aspects:\n- Liquid flow irregularity \u2013 e.g., non-inertial or discontinuous flow, volume popping, gravity-inconsistent motion, impossible splashes.\n- Abnormal object deformation \u2013 e.g., rigid objects bending/stretching without cause, topology changes (parts merging/splitting).\n- Abnormal texture/material change \u2013 e.g., surface turns matte\u2192glossy without cause, texture swimming/flicker detached from geometry.\n- Abnormal motion \u2013 e.g., inertia/acceleration violations, teleporting, time reversals, jitter not explained by camera motion.\n- Unnatural interpenetration \u2013 e.g., objects passing through each other or ground, missing collisions/contacts.\nIf the prompt doesn't have related physical aspects, you should answer 'No'.\nOutput strictly as JSON with this schema (no extra text):\n{\n \"liquid_flow_irregularity\": \"Yes/No\",\n \"abnormal_deformation\": \"Yes/No\",\n \"abnormal_texture_change\": \"Yes/No\", \n \"abnormal_motion\": \"Yes/No\", \n \"unnatural_interpenetration\": \"Yes/No\",\n}\n" | |
| ], | |
| "gt_answer": [ | |
| "```json\n{\n \"liquid_flow_irregularity\": \"No\",\n \"abnormal_deformation\": \"No\",\n \"abnormal_texture_change\": \"No\",\n \"abnormal_motion\": \"No\",\n \"unnatural_interpenetration\": \"No\"\n}\n```" | |
| ], | |
| "pred_answer": [ | |
| "json\n{\n \"liquid_flow_irregularity\": \"No\",\n \"abnormal_deformation\": \"No\",\n \"abnormal_texture_change\": \"No\",\n \"abnormal_motion\": \"No\",\n \"unnatural_interpenetration\": \"No\"\n}\n```<|im_end|>\n<|im_start|>", | |
| " \"has_obvious_defect\"\": No,\n \"\"dominant_issue\"\": \"\"none\"\",\n detail_loss_vs_reference\"\": NoNo\"\",\n evidence\"\": [}<|im_end|>\n<|im_start|>" | |
| ] | |
| } |