order int32 1 60 | case_id stringlengths 8 8 | benchmark stringclasses 3
values | task stringclasses 12
values | question stringlengths 23 121 | gt_m float64 0.02 11.2 | prediction_m float64 0.1 3.5 | relative_error float64 0.1 9 | screening_labels stringclasses 8
values | original_image imagewidth (px) 1k 1.92k | annotated_image imagewidth (px) 1k 1.92k | raw_output stringlengths 643 2.57k | case_page stringlengths 89 89 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | case_001 | qspatial | direct_distance | What is the minimum distance between the water bottle with blue lid and the shoes on the floor in the image? | 0.676 | 1.015 | 0.501479 | overestimate | I use the major horizontal extent of the shoes on the floor in the image as a metric reference and estimate it at approximately 0.29 m.
After accounting for the viewing geometry, the minimum distance between the water bottle with blue lid and the shoes on the floor in the image is about 3.5 times the major horizontal ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_001.md | ||
2 | case_002 | qspatial | horizontal_distance | What is the minimum distance between the coffee grinder and the base of the gooseneck kettle in the image? | 0.015 | 0.15 | 9 | overestimate | I use the vertical extent of the coffee grinder in the image as a metric reference and estimate it at approximately 0.37 m.
After accounting for the viewing geometry, the minimum distance between the coffee grinder and the base of the gooseneck kettle in the image is about 0.4 times the vertical extent of the coffee g... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_002.md | ||
3 | case_003 | qspatial | object_height | What is the height of each locker on the right in the image? | 0.25 | 0.39 | 0.56 | overestimate | I use the vertical extent of the trash bin in the image as a metric reference and estimate it at approximately 0.85 m.
After accounting for the viewing geometry, the vertical extent of each locker on the right in the image is about 0.45 times the vertical extent of the trash bin in the image, giving approximately 0.38... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_003.md | ||
4 | case_004 | qspatial | object_width | What is the minimum distance between the printer and the cabinet on the right in the image? | 0.64 | 1.3 | 1.03125 | overestimate | I use the vertical extent of the printer in the image as a metric reference and estimate it at approximately 0.42 m.
After accounting for the viewing geometry, the minimum 3D distance between the printer and the cabinet on the right in the image is about 3.1 times the vertical extent of the printer in the image, givin... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_004.md | ||
5 | case_005 | qspatial | vertical_distance | What is the vertical gap between the piano art and the electricity meter? | 0.54 | 1.1 | 1.037037 | overestimate | I use the vertical extent of the piano art in the image as a metric reference and estimate it at approximately 0.7 m.
After accounting for the viewing geometry, the vertical gap between the piano art and the electricity meter is about 1.5 times the vertical extent of the piano art in the image, giving approximately 1.... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_005.md | ||
6 | case_006 | qspatial | direct_distance | What is the minimum distance between the fire extinguisher and the backpack in the image? | 0.56 | 1.1 | 0.964286 | overestimate | I use the major horizontal extent of the backpack in the image as a metric reference and estimate it at approximately 0.42 m.
After accounting for the viewing geometry, the minimum distance between the fire extinguisher and the backpack in the image is about 2.6 times the major horizontal extent of the backpack in the... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_006.md | ||
7 | case_007 | qspatial | horizontal_distance | What is the minimum distance between the coffe table in front of the TV and the TV cabinet in the image? | 0.405 | 1.1 | 1.716049 | overestimate | I use the vertical extent of the TV cabinet in the image as a metric reference and estimate it at approximately 0.65 m.
After accounting for the viewing geometry, the minimum distance between the coffe table in front of the TV and the TV cabinet in the image is about 1.6 times the vertical extent of the TV cabinet in ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_007.md | ||
8 | case_008 | qspatial | object_height | What is the height of the backpack handle in the image? | 1.65 | 0.16 | 0.90303 | underestimate | I use the vertical extent of the backpack in the image as a metric reference and estimate it at approximately 0.45 m.
After accounting for the viewing geometry, the vertical extent of the backpack handle in the image is about 0.35 times the vertical extent of the backpack in the image, giving approximately 0.1575 m.
... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_008.md | ||
9 | case_009 | qspatial | object_width | What is the depth of the dark green cabinet in the image? | 0.27 | 0.8 | 1.962963 | overestimate | I use the major horizontal extent of the dark green cabinet in the image as a metric reference and estimate it at approximately 1.8 m.
After accounting for the viewing geometry, the depth of the dark green cabinet in the image is about 0.45 times the major horizontal extent of the dark green cabinet in the image, givi... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_009.md | ||
10 | case_010 | qspatial | vertical_distance | What is the remaining vertical height beween the glass container and the top of the shelf? | 0.145 | 0.36 | 1.482759 | overestimate | I use the vertical extent of the white can in the image as a metric reference and estimate it at approximately 0.21 m.
After accounting for the viewing geometry, the remaining vertical height between the glass container and the top of the shelf is about 1.7 times the vertical extent of the white can in the image, givi... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_010.md | ||
11 | case_011 | qspatial | direct_distance | What is the minimum distance between the orange pen on the table and the keyboard in the image? | 0.478 | 1.1 | 1.301255 | overestimate | I use the major horizontal extent of the keyboard in the image as a metric reference and estimate it at approximately 0.46 m.
After accounting for the viewing geometry, the minimum distance between the orange pen on the table and the keyboard in the image is about 2.3 times the major horizontal extent of the keyboard ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_011.md | ||
12 | case_012 | qspatial | horizontal_distance | What is the minimum distance between the three-level white plant stand and the TV cabinet in the image? | 0.145 | 1.1 | 6.586207 | overestimate | I use the vertical extent of the TV cabinet in the image as a metric reference and estimate it at approximately 0.7 m.
After accounting for the viewing geometry, the minimum 3D distance between the three-level white plant stand and the TV cabinet is about 1.5 times the vertical extent of the TV cabinet, giving approxi... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_012.md | ||
13 | case_013 | qspatial | object_height | What is the vertical distance between the socket and the kitchen counter in the image? | 0.2 | 1.026 | 4.13 | overestimate | I use the major horizontal extent of the sink in the image as a metric reference and estimate it at approximately 0.54 m.
After accounting for the viewing geometry, the vertical distance between the socket and the kitchen counter in the image is about 1.9 times the major horizontal extent of the sink in the image, giv... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_013.md | ||
14 | case_014 | qspatial | object_width | What is the diameter of the white and blue toy ball in the image? | 0.054 | 0.1 | 0.851852 | overestimate, single_object_scale_x1 | I use the major horizontal extent of the white and blue toy ball in the image as a metric reference and estimate it at approximately 0.1 m.
After accounting for the viewing geometry, the major horizontal extent of the white and blue toy ball in the image is about 1 times the major horizontal extent of the white and bl... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_014.md | ||
15 | case_015 | qspatial | vertical_distance | What is the minimum vertical distance between the sofa and the whiteboard in the image? | 0.42 | 1 | 1.380952 | overestimate | I use the major horizontal extent of the sofa in the image as a metric reference and estimate it at approximately 1.5 m.
After accounting for the viewing geometry, the minimum vertical distance between the sofa and the whiteboard is about 0.65 times the major horizontal extent of the sofa in the image, giving approxim... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_015.md | ||
16 | case_016 | qspatial | direct_distance | What is the minimum distance between the clock and the top of the bookshelf in the image? | 0.67 | 1.3 | 0.940299 | overestimate | I use the major horizontal extent of the clock in the image as a metric reference and estimate it at approximately 0.31 m.
After accounting for the viewing geometry, the minimum distance between the clock and the top of the bookshelf in the image is about 4 times the major horizontal extent of the clock in the image, ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_016.md | ||
17 | case_017 | qspatial | horizontal_distance | What is the minimum distance between the tissue box and the TV in the image? | 0.62 | 1.1 | 0.774194 | overestimate | I use the major horizontal extent of the TV as a metric reference and estimate it at approximately 1.2 m.
After accounting for the viewing geometry, the minimum distance between the tissue box and the TV is about 0.95 times the major horizontal extent of the TV, giving approximately 1.14 m.
The target lies farther in... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_017.md | ||
18 | case_018 | qspatial | object_width | What is the minimum distance between the white bucket and the stack of towel on the counter in the image? | 0.95 | 1.8 | 0.894737 | overestimate | I use the major horizontal extent of the white bucket in the image as a metric reference and estimate it at approximately 0.29 m.
After accounting for the viewing geometry, the minimum distance between the white bucket and the stack of towel on the counter in the image is about 6 times the major horizontal extent of t... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_018.md | ||
19 | case_019 | qspatial | vertical_distance | What is the vertical gap between the refrigerator and the cabinet above it? | 0.11 | 1.032 | 8.381818 | overestimate | I use the vertical extent of the left cabinet in the image as a metric reference and estimate it at approximately 0.43 m.
After accounting for the viewing geometry, the vertical gap between the refrigerator and the cabinet above it is about 2.4 times the vertical extent of the left cabinet in the image, giving approxi... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_019.md | ||
20 | case_020 | qspatial | direct_distance | What is the minimum distance between the clock and the apple monitor in the image? | 0.85 | 1.6 | 0.882353 | overestimate | I use the major horizontal extent of the clock in the image as a metric reference and estimate it at approximately 0.31 m.
After accounting for the viewing geometry, the minimum distance between the clock and the apple monitor is about 5 times the major horizontal extent of the clock in the image, giving approximately... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_020.md | ||
21 | case_021 | spatialrgpt | distance_data | How far apart are Region [0] and Region [1]? | 10 | 2.3 | 0.77 | underestimate | I use the vertical extent of Region [1] as a metric reference and estimate it at approximately 1.5 m.
After accounting for the viewing geometry, the 3D center distance between Region [0] and Region [1] is about 1.5 times the vertical extent of Region [1], giving approximately 2.25 m.
The camera-distance and orientati... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_021.md | ||
22 | case_022 | spatialrgpt | height_data | Determine the vertical dimensions of Region [0]. | 0.76327 | 0.23 | 0.698665 | underestimate, single_object_scale_x1 | I use the vertical extent of Region [0] as a metric reference and estimate it at approximately 0.23 m.
After accounting for the viewing geometry, the vertical dimension of Region [0] is about 1 times the reference, giving approximately 0.23 m.
The target lies farther from the camera than the reference and therefore a... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_022.md | ||
23 | case_023 | spatialrgpt | horizontal_distance_data | How far apart are Region [0] and Region [1] horizontally? | 0.7315 | 1.2 | 0.640465 | overestimate | I use the vertical extent of Region [0] as a metric reference and estimate it at approximately 0.55 m.
After accounting for the viewing geometry, the horizontal projection distance between Region [0] and Region [1] is about 2.2 times the vertical extent of Region [0], giving approximately 1.21 m.
The camera-distance ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_023.md | ||
24 | case_024 | spatialrgpt | vertical_distance_data | Measure the distance between Region [0] and Region [1] vertically. | 0.58166 | 1.3 | 1.234983 | overestimate | I use the vertical extent of Region [0] as a metric reference and estimate it at approximately 0.5 m.
After accounting for the viewing geometry, the vertical extent of Region [1] is about 1.9 times the vertical extent of Region [0], giving approximately 0.95 m.
After accounting for the viewing geometry, the vertical ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_024.md | ||
25 | case_025 | spatialrgpt | width_data | How wide is Region [0]? | 4.949952 | 2 | 0.595956 | underestimate, single_object_scale_x1 | I use the vertical extent of Region [0] as a metric reference and estimate it at approximately 0.85 m.
After accounting for the viewing geometry, the horizontal extent of Region [0] is about 2.3 times the vertical extent of Region [0], giving approximately 1.955 m.
The relative camera distances and viewing angles tog... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_025.md | ||
26 | case_026 | spatialrgpt | distance_data | How far is Region [0] from Region [1]? | 11.24 | 3.5 | 0.688612 | underestimate | I use the major horizontal extent of Region [0] as a metric reference and estimate it at approximately 2.5 m.
After accounting for the viewing geometry, the 3D center distance between Region [0] and Region [1] is about 1.4 times the major horizontal extent of Region [0], giving approximately 3.5 m.
The target lies fa... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_026.md | ||
27 | case_027 | spatialrgpt | height_data | How tall is Region [0] in terms of height? | 0.11811 | 0.3 | 1.540005 | overestimate, single_object_scale_x1 | I use the vertical extent of Region [0] as a metric reference and estimate it at approximately 0.3 m.
After accounting for the viewing geometry, the vertical extent of Region [0] is about 1 times the vertical extent of Region [0], giving approximately 0.3 m.
The reference loses more screen space than the target, redu... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_027.md | ||
28 | case_028 | spatialrgpt | horizontal_distance_data | How far is Region [0] from Region [1] horizontally? | 0.15621 | 1.1 | 6.041803 | overestimate | I use the vertical extent of Region [1] as a metric reference and estimate it at approximately 0.32 m.
After accounting for the viewing geometry, the horizontal center distance between Region [0] and Region [1] is about 3.5 times the vertical extent of Region [1], giving approximately 1.12 m.
The camera-distance and ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_028.md | ||
29 | case_029 | spatialrgpt | vertical_distance_data | Measure the distance between Region [0] and Region [1] vertically. | 0.683768 | 1.1 | 0.608733 | overestimate | I use the vertical extent of Region [1] as a metric reference and estimate it at approximately 0.5 m.
After accounting for the viewing geometry, the vertical distance between Region [0] and Region [1] is about 2.3 times the vertical extent of Region [1], giving approximately 1.15 m.
The relative camera distances and ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_029.md | ||
30 | case_030 | spatialrgpt | width_data | Could you tell me the horizontal size of Region [0]? | 2.060448 | 0.9 | 0.563202 | underestimate, single_object_scale_x1 | I use the horizontal extent of Region [0] as a metric reference and estimate it at approximately 0.9 m.
After accounting for the viewing geometry, the horizontal size of Region [0] is about 1 times the horizontal extent of Region [0], giving 0.9 m.
The camera-distance and orientation cues are consistent with a near-f... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_030.md | ||
31 | case_031 | spatialrgpt | distance_data | How distant is Region [0] from Region [1]? | 0.86995 | 1.6 | 0.839186 | overestimate | I use the vertical extent of Region [1] as a metric reference and estimate it at approximately 0.8 m.
After accounting for the viewing geometry, the 3D center distance between Region [0] and Region [1] is about 2 times the vertical extent of Region [1], giving approximately 1.6 m.
Much of the target and reference spa... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_031.md | ||
32 | case_032 | spatialrgpt | height_data | How tall is Region [0]? | 0.76327 | 0.29 | 0.620056 | underestimate, single_object_scale_x1 | I use the major horizontal extent of Region [0] as a metric reference and estimate it at approximately 0.7 m.
After accounting for the viewing geometry, the vertical extent of Region [0] is about 0.4 times the major horizontal extent of Region [0], giving approximately 0.28 m.
The target is nearer to the camera than ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_032.md | ||
33 | case_033 | spatialrgpt | horizontal_distance_data | How far apart are Region [0] and Region [1] horizontally? | 0.761746 | 1.2 | 0.575328 | overestimate | I use the major horizontal extent of Region [0] as a metric reference and estimate it at approximately 1.2 m.
After accounting for the viewing geometry, the horizontal center distance between Region [0] and Region [1] is about 1 times the major horizontal extent of Region [0], giving approximately 1.2 m.
The target i... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_033.md | ||
34 | case_034 | spatialrgpt | vertical_distance_data | Estimate the vertical distance between Region [0] and Region [1]. | 0.776732 | 1.2 | 0.544934 | overestimate | I use the vertical extent of Region [0] as a metric reference and estimate it at approximately 0.21 m.
After accounting for the viewing geometry, the vertical distance between Region [0] and Region [1] is about 5.6 times the vertical extent of Region [0], giving approximately 1.176 m.
The camera-distance and orientat... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_034.md | ||
35 | case_035 | spatialrgpt | width_data | How big is Region [0] in terms of width? | 0.7842 | 0.32 | 0.591941 | underestimate, single_object_scale_x1 | I use the major horizontal extent of Region [0] as a metric reference and estimate it at approximately 0.32 m.
After accounting for the viewing geometry, the width of Region [0] is about 1 times the major horizontal extent of Region [0], giving approximately 0.32 m.
Taken together, the camera-aware transfers and the ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_035.md | ||
36 | case_036 | spatialrgpt | distance_data | Could you provide the distance between Region [0] and Region [1]? | 8.970264 | 2.3 | 0.743597 | underestimate | I use the vertical extent of Region [1] as a metric reference and estimate it at approximately 0.7 m.
After accounting for the viewing geometry, the 3D center distance between Region [0] and Region [1] is about 3.2 times the vertical extent of Region [1], giving approximately 2.24 m.
The relative camera distances and... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_036.md | ||
37 | case_037 | spatialrgpt | height_data | Determine the vertical dimensions of Region [0]. | 2.785872 | 1.1 | 0.605151 | underestimate | I use the vertical extent of Region [0] as a metric reference and estimate it at approximately 2.7 m.
After accounting for the viewing geometry, the vertical extent of Region [1] is about 0.5 times the vertical extent of Region [0], giving approximately 1.35 m.
Taken together, the camera-aware transfers and the calib... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_037.md | ||
38 | case_038 | spatialrgpt | horizontal_distance_data | Horizontal gap between Region [0] and Region [1]. | 9.1 | 2.5 | 0.725275 | underestimate | I use the vertical extent of Region [1] as a metric reference and estimate it at approximately 1.5 m.
After accounting for the viewing geometry, the horizontal gap between Region [0] and Region [1] is about 1.7 times the vertical extent of Region [1], giving approximately 2.55 m.
The relative camera distances and vie... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_038.md | ||
39 | case_039 | spatialrgpt | vertical_distance_data | Could you provide the vertical distance between Region [0] and Region [1]? | 0.614426 | 1.1 | 0.790289 | overestimate | I use the major horizontal extent of Region [1] as a metric reference and estimate it at approximately 0.55 m.
After accounting for the viewing geometry, the vertical distance between Region [0] and Region [1] is about 1.9 times the major horizontal extent of Region [1], giving approximately 1.045 m.
The target is ne... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_039.md | ||
40 | case_040 | spatialrgpt | width_data | How big is Region [0] in terms of width? | 2 | 0.95 | 0.525 | underestimate | I use the major horizontal extent of Region [0] as a metric reference and estimate it at approximately 0.95 m.
After accounting for the viewing geometry, the major horizontal extent of Region [0] is about 1 times the major horizontal extent of Region [0], giving approximately 0.95 m.
The camera-distance and orientati... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_040.md | ||
41 | case_041 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the sofa and the stove (in meters)? | 2.9 | 2.1 | 0.275862 | underestimate, historical_selection_no_longer_meets_failure_threshold | I use the major horizontal extent of the stove in frame 159 as a metric reference and estimate it at approximately 0.6 m.
After accounting for the viewing geometry, the closest distance between the sofa and the stove is about 3.4 times the major horizontal extent of the stove in frame 159, giving approximately 2.04 m.... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_041.md | ||
42 | case_042 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters? | 0.71 | 0.32 | 0.549296 | underestimate, longest_dimension_horizontal_candidate | I use the major horizontal extent of the toilet in the image as a metric reference and estimate it at approximately 53 cm.
After accounting for the viewing geometry, the major horizontal extent of the table in the image is about 0.6 times the major horizontal extent of the toilet in the image, giving approximately 31.... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_042.md | ||
43 | case_043 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the tv and the bed (in meters)? | 1.1 | 1.6 | 0.454545 | overestimate, historical_selection_no_longer_meets_failure_threshold | I use the major horizontal extent of the TV as a metric reference and estimate it at approximately 1.2 m.
After accounting for the viewing geometry, the closest distance between the TV and the bed is about 1.35 times the major horizontal extent of the TV, giving approximately 1.62 m.
Much of the target and reference ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_043.md | ||
44 | case_044 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the fireplace, measured in centimeters? | 2.24 | 0.85 | 0.620536 | underestimate, longest_dimension_horizontal_candidate | I use the major horizontal extent of the fireplace as a metric reference and estimate it at approximately 85 cm.
After accounting for the viewing geometry, the major horizontal extent of the fireplace is about 1 times the major horizontal extent of the fireplace, giving approximately 85 cm.
The reference loses more s... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_044.md | ||
45 | case_045 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the toilet and the bathtub (in meters)? | 0.4 | 1.1 | 1.75 | overestimate | I use the vertical extent of the toilet in the reference image as a metric reference and estimate it at approximately 0.75 m.
After accounting for the viewing geometry, the closest distance between the toilet and the bathtub is about 1.4 times the vertical extent of the toilet, giving approximately 1.05 m.
Much of th... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_045.md | ||
46 | case_046 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters? | 1.31 | 0.48 | 0.633588 | underestimate, longest_dimension_horizontal_candidate, single_object_scale_x1 | There is no refrigerator in the reference image, so I cannot use it as a metric reference.
After accounting for the viewing geometry, the major horizontal extent of the sink is about 0.49 m.
After accounting for the viewing geometry, the vertical extent of the sink is about 0.55 m.
After accounting for the viewing g... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_046.md | ||
47 | case_047 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the bathtub and the toilet (in meters)? | 1 | 1.1 | 0.1 | overestimate, historical_selection_no_longer_meets_failure_threshold | I use the vertical extent of the toilet in the image as a metric reference and estimate it at approximately 0.76 m.
After accounting for the viewing geometry, the closest distance between the bathtub and the toilet is about 1.5 times the vertical extent of the toilet, giving approximately 1.14 m.
The target lies fart... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_047.md | ||
48 | case_048 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters? | 1.86 | 0.9 | 0.516129 | underestimate, longest_dimension_horizontal_candidate, single_object_scale_x1 | I use the vertical extent of the refrigerator as a metric reference and estimate it at approximately 200 cm.
After accounting for the viewing geometry, the major horizontal extent of the refrigerator is about 0.45 times its vertical extent, giving approximately 90 cm.
The target extends less than the reference in the... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_048.md | ||
49 | case_049 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the toilet and the bathtub (in meters)? | 0.4 | 1.1 | 1.75 | overestimate | I use the vertical extent of the toilet in the image as a metric reference and estimate it at approximately 0.75 m.
After accounting for the viewing geometry, the closest distance between the toilet and the bathtub is about 1.4 times the vertical extent of the toilet, giving approximately 1.05 m.
Much of the target a... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_049.md | ||
50 | case_050 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters? | 3.56 | 1.7 | 0.522472 | underestimate, longest_dimension_horizontal_candidate, single_object_scale_x1 | I use the major horizontal extent of the table in the image as a metric reference and estimate it at approximately 1.8 m.
After accounting for the viewing geometry, the major horizontal extent of the table is about 0.95 times the major horizontal extent of the table in the image, giving approximately 1.71 m.
The targ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_050.md | ||
51 | case_051 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the table and the bathtub (in meters)? | 0.9 | 3.2 | 2.555556 | overestimate | I use the major horizontal extent of the bathtub as a metric reference and estimate it at approximately 1.6 m.
After accounting for the viewing geometry, the distance between the table and the bathtub is about 2.0 times the major horizontal extent of the bathtub, giving approximately 3.2 m.
The target extends less al... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_051.md | ||
52 | case_052 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters? | 1.86 | 0.85 | 0.543011 | underestimate, longest_dimension_horizontal_candidate | I use the vertical extent of the refrigerator as a metric reference and estimate it at approximately 1.7 m.
After accounting for the viewing geometry, the major horizontal dimension of the refrigerator is about 0.5 times the vertical extent, giving approximately 0.85 m.
The camera-distance and orientation cues are co... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_052.md | ||
53 | case_053 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the refrigerator and the stove (in meters)? | 2.5 | 1.3 | 0.48 | underestimate, historical_selection_no_longer_meets_failure_threshold | I use the vertical extent of the stove in the reference image as a metric reference and estimate it at approximately 0.7 m.
After accounting for the viewing geometry, the closest-point distance between the refrigerator and the stove is about 1.8 times the vertical extent of the stove in the reference image, giving app... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_053.md | ||
54 | case_054 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters? | 1.45 | 0.7 | 0.517241 | underestimate, longest_dimension_horizontal_candidate, single_object_scale_x1 | I use the major horizontal extent of the table in the image as a metric reference and estimate it at approximately 0.7 m.
After accounting for the viewing geometry, the major horizontal extent of the table in the image is about 1 times the major horizontal extent of the table in the image, giving approximately 0.7 m.
... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_054.md | ||
55 | case_055 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the stool and the fireplace (in meters)? | 1.6 | 2.7 | 0.6875 | overestimate | I use the vertical extent of the sofa in the image as a metric reference and estimate it at approximately 0.8 m.
After accounting for the viewing geometry, the closest distance between the stool and the fireplace is about 3.4 times the vertical extent of the sofa in the image, giving approximately 2.72 m.
The target ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_055.md | ||
56 | case_056 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters? | 0.92 | 0.39 | 0.576087 | underestimate, longest_dimension_horizontal_candidate, single_object_scale_x1 | I use the major horizontal extent of the table in the image as a metric reference and estimate it at approximately 39 cm.
After accounting for the viewing geometry, the major horizontal extent of the table in the image is about 1 times the major horizontal extent of the table in the image, giving approximately 39 cm.
... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_056.md | ||
57 | case_057 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the toilet and the bathtub (in meters)? | 0.5 | 1.2 | 1.4 | overestimate | I use the major horizontal extent of the toilet as a metric reference and estimate it at approximately 0.52 m.
After accounting for the viewing geometry, the closest distance between the toilet and the bathtub is about 2.3 times the major horizontal extent of the toilet, giving approximately 1.196 m.
The camera-dista... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_057.md | ||
58 | case_058 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters? | 1.7 | 0.7 | 0.588235 | underestimate, longest_dimension_horizontal_candidate, single_object_scale_x1 | I use the major horizontal extent of the refrigerator in the image as a metric reference and estimate it at approximately 70 cm.
After accounting for the viewing geometry, the major dimension of the refrigerator in the image is about 1 times the major horizontal extent of the refrigerator in the image, giving approxim... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_058.md | ||
59 | case_059 | vsibench | object_abs_distance | Measuring from the closest point of each object, what is the distance between the stove and the tv (in meters)? | 4.4 | 2.3 | 0.477273 | underestimate, historical_selection_no_longer_meets_failure_threshold | I use the major horizontal extent of the stove as a metric reference and estimate it at approximately 0.62 m.
After accounting for the viewing geometry, the closest point distance between the stove and the tv is about 3.6 times the major horizontal extent of the stove, giving approximately 2.252 m.
The relative camer... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_059.md | ||
60 | case_060 | vsibench | object_size_estimation | What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters? | 1.81 | 0.53 | 0.707182 | underestimate, longest_dimension_horizontal_candidate, single_object_scale_x1 | I use the major horizontal extent of the refrigerator in the image as a metric reference and estimate it at approximately 52 cm.
After accounting for the viewing geometry, the major horizontal extent of the refrigerator in the image is about 1 times the major horizontal extent of the refrigerator in the image, giving ... | https://huggingface.co/datasets/AnchorSR/Qwen3.5_RL_ErrorCase/blob/main/cases/case_060.md |
Qwen3.5 RL：错误案例与视频定位诊断
v3部分共660题；另新增V4 RL Step3000选帧诊断100题。每题含QA、完整原始输出及可见帧拼图。Dataset Viewer中，default为前60题，video_grounding为v3新增600题，v4_rl_step3000为V4新增100题。
| 序号 | 内容 | 入口 |
|---|---|---|
| 001–060 | 原三个主实验bench案例 | 第001题 |
| 061–560 | RL训练视频500题：训练视觉处理下的新输出 | 第061题 |
| 561–660 | ASR-Bench视频100题：复用既有评测输出 | 第561题 |
| V4-001–100 | V4 RL Step3000：VSI/ASR选帧与bbox诊断 | V4诊断首页 |
本次新增的测试内容
- 新增600题为在看结果前固定的诊断抽样，包含成功与失败，不是600个错误案例。未加入88题附加对照，避免重复。
- 两部分均为最终Qwen3.5-9B RL step3500，每视频16帧，双视频分别标注scene_a/scene_b。训练部分复用训练视频解码/预缩放代码；ASR沿用已完成评测，两者视觉处理不同，不能把数值差距全部归因于泛化。
- 训练帧展示来自推理时的预缩放张量并核验哈希；ASR解码帧核验历史哈希。红框为模型，绿框为GT目标/匹配对象；GT投影标注不等同人工精确标注。
- 定位奖励最低IoU为0.10；严格诊断为IoU≥0.50且类别一致。页面总奖励是当前代码对完整输出复算，不是历史训练rollout奖励。
- 单位均为米，完整输出未修改；未上传服务器路径、凭据、训练参考reasoning或完整隐藏sidecar。
| 指标 | 训练视频500题 | ASR视频100题 |
|---|---|---|
| 对象声明选择F7 | 100% | 100% |
| 训练规则通过（含类别一致） | 72.3% | 90.7% |
| 严格对象匹配 | 30.5% | 68.6% |
| 随机平移框、固定F7的严格匹配 | 2.8% | 6.3% |
| 全部问题目标严格匹配 | 9.0% | 59.0% |
结果不支持“完全随机乱框”，但显示固定帧偏好和宽松定位奖励。不能单凭本诊断证明历史reward hacking。机器可读汇总见diagnostics/。
前60题单位勘误
原VSI距离案例误将米当厘米换算，本次修正10题的GT与相对误差。编号、图片和模型原始输出全部保留。case_041、043、047、053、059校正后不再满足原“误差>50%”筛选条件，仅保留作历史案例；不应计入严重错误集。正式benchmark评测结果未修改。详见unit_corrections.json。
案例目录
原主实验案例001–060
| 序号 | 页面 | Benchmark | 子任务 | 样本ID |
|---|---|---|---|---|
| 1 | case_001 | qspatial | direct_distance | QSpatial_scannet_030 |
| 2 | case_002 | qspatial | horizontal_distance | QSpatial_plus_000 |
| 3 | case_003 | qspatial | object_height | QSpatial_scannet_041 |
| 4 | case_004 | qspatial | object_width | QSpatial_scannet_035 |
| 5 | case_005 | qspatial | vertical_distance | QSpatial_plus_078 |
| 6 | case_006 | qspatial | direct_distance | QSpatial_scannet_043 |
| 7 | case_007 | qspatial | horizontal_distance | QSpatial_plus_005 |
| 8 | case_008 | qspatial | object_height | QSpatial_scannet_072 |
| 9 | case_009 | qspatial | object_width | QSpatial_scannet_082 |
| 10 | case_010 | qspatial | vertical_distance | QSpatial_plus_091 |
| 11 | case_011 | qspatial | direct_distance | QSpatial_scannet_052 |
| 12 | case_012 | qspatial | horizontal_distance | QSpatial_plus_006 |
| 13 | case_013 | qspatial | object_height | QSpatial_scannet_128 |
| 14 | case_014 | qspatial | object_width | QSpatial_scannet_090 |
| 15 | case_015 | qspatial | vertical_distance | QSpatial_scannet_005 |
| 16 | case_016 | qspatial | direct_distance | QSpatial_scannet_054 |
| 17 | case_017 | qspatial | horizontal_distance | QSpatial_plus_007 |
| 18 | case_018 | qspatial | object_width | QSpatial_scannet_144 |
| 19 | case_019 | qspatial | vertical_distance | QSpatial_scannet_018 |
| 20 | case_020 | qspatial | direct_distance | QSpatial_scannet_055 |
| 21 | case_021 | spatialrgpt | distance_data | quantitative_O49WQDdf5a |
| 22 | case_022 | spatialrgpt | height_data | quantitative_L1Nt6oLYo9 |
| 23 | case_023 | spatialrgpt | horizontal_distance_data | quantitative_OoJfWUiC40 |
| 24 | case_024 | spatialrgpt | vertical_distance_data | quantitative_ZYJS3tHOZ3 |
| 25 | case_025 | spatialrgpt | width_data | quantitative_yZogGYaVEr |
| 26 | case_026 | spatialrgpt | distance_data | quantitative_nvN4aooV84 |
| 27 | case_027 | spatialrgpt | height_data | quantitative_k43pz7XTqm |
| 28 | case_028 | spatialrgpt | horizontal_distance_data | quantitative_2YD5SUt3z2 |
| 29 | case_029 | spatialrgpt | vertical_distance_data | quantitative_uub6ImC5E0 |
| 30 | case_030 | spatialrgpt | width_data | quantitative_or1LNQWtvd |
| 31 | case_031 | spatialrgpt | distance_data | quantitative_2pqf8rJ9Pr |
| 32 | case_032 | spatialrgpt | height_data | quantitative_TG5rWdnOzL |
| 33 | case_033 | spatialrgpt | horizontal_distance_data | quantitative_1i3RrzeVbf |
| 34 | case_034 | spatialrgpt | vertical_distance_data | quantitative_c22tdgEPJR |
| 35 | case_035 | spatialrgpt | width_data | quantitative_InIWIRWJhk |
| 36 | case_036 | spatialrgpt | distance_data | quantitative_u8GFdDMOVm |
| 37 | case_037 | spatialrgpt | height_data | quantitative_Eow8wx3dIB |
| 38 | case_038 | spatialrgpt | horizontal_distance_data | quantitative_K86CIw38Xd |
| 39 | case_039 | spatialrgpt | vertical_distance_data | quantitative_nmPsTJ8GC8 |
| 40 | case_040 | spatialrgpt | width_data | quantitative_qRxfngJUH7 |
| 41 | case_041 | vsibench | object_abs_distance | 680 |
| 42 | case_042 | vsibench | object_size_estimation | 180 |
| 43 | case_043 | vsibench | object_abs_distance | 683 |
| 44 | case_044 | vsibench | object_size_estimation | 189 |
| 45 | case_045 | vsibench | object_abs_distance | 684 |
| 46 | case_046 | vsibench | object_size_estimation | 204 |
| 47 | case_047 | vsibench | object_abs_distance | 685 |
| 48 | case_048 | vsibench | object_size_estimation | 205 |
| 49 | case_049 | vsibench | object_abs_distance | 686 |
| 50 | case_050 | vsibench | object_size_estimation | 220 |
| 51 | case_051 | vsibench | object_abs_distance | 687 |
| 52 | case_052 | vsibench | object_size_estimation | 222 |
| 53 | case_053 | vsibench | object_abs_distance | 693 |
| 54 | case_054 | vsibench | object_size_estimation | 233 |
| 55 | case_055 | vsibench | object_abs_distance | 696 |
| 56 | case_056 | vsibench | object_size_estimation | 240 |
| 57 | case_057 | vsibench | object_abs_distance | 697 |
| 58 | case_058 | vsibench | object_size_estimation | 244 |
| 59 | case_059 | vsibench | object_abs_distance | 698 |
| 60 | case_060 | vsibench | object_size_estimation | 247 |
新增视频定位诊断061–660
| 序号 | 页面 | 测试来源 | 严格匹配对象数 |
|---|---|---|---|
| 061 | case_061 | 训练视频 | 2/3 |
| 062 | case_062 | 训练视频 | 1/6 |
| 063 | case_063 | 训练视频 | 1/6 |
| 064 | case_064 | 训练视频 | 2/3 |
| 065 | case_065 | 训练视频 | 1/3 |
| 066 | case_066 | 训练视频 | 0/4 |
| 067 | case_067 | 训练视频 | 2/3 |
| 068 | case_068 | 训练视频 | 1/3 |
| 069 | case_069 | 训练视频 | 6/6 |
| 070 | case_070 | 训练视频 | 3/6 |
| 071 | case_071 | 训练视频 | 3/7 |
| 072 | case_072 | 训练视频 | 1/4 |
| 073 | case_073 | 训练视频 | 1/5 |
| 074 | case_074 | 训练视频 | 0/1 |
| 075 | case_075 | 训练视频 | 1/4 |
| 076 | case_076 | 训练视频 | 2/3 |
| 077 | case_077 | 训练视频 | 3/5 |
| 078 | case_078 | 训练视频 | 0/3 |
| 079 | case_079 | 训练视频 | 0/3 |
| 080 | case_080 | 训练视频 | 0/4 |
| 081 | case_081 | 训练视频 | 2/3 |
| 082 | case_082 | 训练视频 | 1/5 |
| 083 | case_083 | 训练视频 | 0/4 |
| 084 | case_084 | 训练视频 | 1/3 |
| 085 | case_085 | 训练视频 | 2/3 |
| 086 | case_086 | 训练视频 | 2/6 |
| 087 | case_087 | 训练视频 | 2/7 |
| 088 | case_088 | 训练视频 | 0/1 |
| 089 | case_089 | 训练视频 | 0/3 |
| 090 | case_090 | 训练视频 | 1/2 |
| 091 | case_091 | 训练视频 | 4/7 |
| 092 | case_092 | 训练视频 | 1/3 |
| 093 | case_093 | 训练视频 | 0/1 |
| 094 | case_094 | 训练视频 | 1/3 |
| 095 | case_095 | 训练视频 | 1/3 |
| 096 | case_096 | 训练视频 | 1/4 |
| 097 | case_097 | 训练视频 | 0/3 |
| 098 | case_098 | 训练视频 | 0/3 |
| 099 | case_099 | 训练视频 | 1/3 |
| 100 | case_100 | 训练视频 | 0/2 |
| 101 | case_101 | 训练视频 | 2/3 |
| 102 | case_102 | 训练视频 | 1/3 |
| 103 | case_103 | 训练视频 | 1/3 |
| 104 | case_104 | 训练视频 | 2/6 |
| 105 | case_105 | 训练视频 | 2/6 |
| 106 | case_106 | 训练视频 | 0/4 |
| 107 | case_107 | 训练视频 | 1/3 |
| 108 | case_108 | 训练视频 | 0/3 |
| 109 | case_109 | 训练视频 | 0/3 |
| 110 | case_110 | 训练视频 | 1/1 |
| 111 | case_111 | 训练视频 | 0/3 |
| 112 | case_112 | 训练视频 | 3/6 |
| 113 | case_113 | 训练视频 | 5/6 |
| 114 | case_114 | 训练视频 | 1/7 |
| 115 | case_115 | 训练视频 | 0/4 |
| 116 | case_116 | 训练视频 | 2/4 |
| 117 | case_117 | 训练视频 | 0/3 |
| 118 | case_118 | 训练视频 | 2/7 |
| 119 | case_119 | 训练视频 | 1/3 |
| 120 | case_120 | 训练视频 | 1/7 |
| 121 | case_121 | 训练视频 | 0/3 |
| 122 | case_122 | 训练视频 | 3/3 |
| 123 | case_123 | 训练视频 | 2/3 |
| 124 | case_124 | 训练视频 | 1/3 |
| 125 | case_125 | 训练视频 | 2/4 |
| 126 | case_126 | 训练视频 | 0/1 |
| 127 | case_127 | 训练视频 | 3/6 |
| 128 | case_128 | 训练视频 | 0/3 |
| 129 | case_129 | 训练视频 | 1/2 |
| 130 | case_130 | 训练视频 | 2/4 |
| 131 | case_131 | 训练视频 | 0/2 |
| 132 | case_132 | 训练视频 | 0/3 |
| 133 | case_133 | 训练视频 | 0/3 |
| 134 | case_134 | 训练视频 | 2/6 |
| 135 | case_135 | 训练视频 | 1/2 |
| 136 | case_136 | 训练视频 | 0/4 |
| 137 | case_137 | 训练视频 | 0/6 |
| 138 | case_138 | 训练视频 | 0/3 |
| 139 | case_139 | 训练视频 | 2/6 |
| 140 | case_140 | 训练视频 | 0/3 |
| 141 | case_141 | 训练视频 | 2/6 |
| 142 | case_142 | 训练视频 | 0/4 |
| 143 | case_143 | 训练视频 | 1/2 |
| 144 | case_144 | 训练视频 | 4/6 |
| 145 | case_145 | 训练视频 | 1/3 |
| 146 | case_146 | 训练视频 | 0/5 |
| 147 | case_147 | 训练视频 | 1/3 |
| 148 | case_148 | 训练视频 | 1/3 |
| 149 | case_149 | 训练视频 | 0/1 |
| 150 | case_150 | 训练视频 | 2/3 |
| 151 | case_151 | 训练视频 | 2/3 |
| 152 | case_152 | 训练视频 | 0/6 |
| 153 | case_153 | 训练视频 | 2/4 |
| 154 | case_154 | 训练视频 | 1/3 |
| 155 | case_155 | 训练视频 | 2/2 |
| 156 | case_156 | 训练视频 | 0/1 |
| 157 | case_157 | 训练视频 | 0/3 |
| 158 | case_158 | 训练视频 | 0/3 |
| 159 | case_159 | 训练视频 | 0/5 |
| 160 | case_160 | 训练视频 | 1/3 |
| 161 | case_161 | 训练视频 | 1/6 |
| 162 | case_162 | 训练视频 | 0/3 |
| 163 | case_163 | 训练视频 | 0/3 |
| 164 | case_164 | 训练视频 | 2/6 |
| 165 | case_165 | 训练视频 | 0/5 |
| 166 | case_166 | 训练视频 | 0/3 |
| 167 | case_167 | 训练视频 | 0/3 |
| 168 | case_168 | 训练视频 | 0/3 |
| 169 | case_169 | 训练视频 | 3/4 |
| 170 | case_170 | 训练视频 | 4/6 |
| 171 | case_171 | 训练视频 | 1/4 |
| 172 | case_172 | 训练视频 | 0/1 |
| 173 | case_173 | 训练视频 | 1/5 |
| 174 | case_174 | 训练视频 | 3/5 |
| 175 | case_175 | 训练视频 | 0/2 |
| 176 | case_176 | 训练视频 | 0/3 |
| 177 | case_177 | 训练视频 | 2/5 |
| 178 | case_178 | 训练视频 | 1/3 |
| 179 | case_179 | 训练视频 | 1/5 |
| 180 | case_180 | 训练视频 | 0/6 |
| 181 | case_181 | 训练视频 | 1/3 |
| 182 | case_182 | 训练视频 | 2/6 |
| 183 | case_183 | 训练视频 | 2/4 |
| 184 | case_184 | 训练视频 | 0/3 |
| 185 | case_185 | 训练视频 | 0/3 |
| 186 | case_186 | 训练视频 | 0/3 |
| 187 | case_187 | 训练视频 | 0/5 |
| 188 | case_188 | 训练视频 | 0/3 |
| 189 | case_189 | 训练视频 | 0/3 |
| 190 | case_190 | 训练视频 | 2/2 |
| 191 | case_191 | 训练视频 | 1/4 |
| 192 | case_192 | 训练视频 | 0/1 |
| 193 | case_193 | 训练视频 | 3/6 |
| 194 | case_194 | 训练视频 | 0/3 |
| 195 | case_195 | 训练视频 | 0/3 |
| 196 | case_196 | 训练视频 | 0/3 |
| 197 | case_197 | 训练视频 | 4/5 |
| 198 | case_198 | 训练视频 | 2/5 |
| 199 | case_199 | 训练视频 | 0/3 |
| 200 | case_200 | 训练视频 | 4/6 |
| 201 | case_201 | 训练视频 | 1/4 |
| 202 | case_202 | 训练视频 | 1/5 |
| 203 | case_203 | 训练视频 | 1/1 |
| 204 | case_204 | 训练视频 | 1/3 |
| 205 | case_205 | 训练视频 | 0/2 |
| 206 | case_206 | 训练视频 | 3/5 |
| 207 | case_207 | 训练视频 | 2/4 |
| 208 | case_208 | 训练视频 | 3/4 |
| 209 | case_209 | 训练视频 | 0/6 |
| 210 | case_210 | 训练视频 | 0/3 |
| 211 | case_211 | 训练视频 | 2/6 |
| 212 | case_212 | 训练视频 | 0/4 |
| 213 | case_213 | 训练视频 | 2/3 |
| 214 | case_214 | 训练视频 | 2/3 |
| 215 | case_215 | 训练视频 | 2/5 |
| 216 | case_216 | 训练视频 | 0/1 |
| 217 | case_217 | 训练视频 | 0/5 |
| 218 | case_218 | 训练视频 | 2/3 |
| 219 | case_219 | 训练视频 | 1/3 |
| 220 | case_220 | 训练视频 | 2/5 |
| 221 | case_221 | 训练视频 | 1/3 |
| 222 | case_222 | 训练视频 | 0/4 |
| 223 | case_223 | 训练视频 | 2/3 |
| 224 | case_224 | 训练视频 | 2/3 |
| 225 | case_225 | 训练视频 | 2/3 |
| 226 | case_226 | 训练视频 | 0/3 |
| 227 | case_227 | 训练视频 | 0/4 |
| 228 | case_228 | 训练视频 | 1/3 |
| 229 | case_229 | 训练视频 | 0/3 |
| 230 | case_230 | 训练视频 | 1/4 |
| 231 | case_231 | 训练视频 | 4/7 |
| 232 | case_232 | 训练视频 | 0/4 |
| 233 | case_233 | 训练视频 | 0/2 |
| 234 | case_234 | 训练视频 | 0/3 |
| 235 | case_235 | 训练视频 | 4/5 |
| 236 | case_236 | 训练视频 | 0/3 |
| 237 | case_237 | 训练视频 | 2/6 |
| 238 | case_238 | 训练视频 | 3/6 |
| 239 | case_239 | 训练视频 | 2/3 |
| 240 | case_240 | 训练视频 | 3/4 |
| 241 | case_241 | 训练视频 | 0/3 |
| 242 | case_242 | 训练视频 | 6/9 |
| 243 | case_243 | 训练视频 | 1/3 |
| 244 | case_244 | 训练视频 | 0/1 |
| 245 | case_245 | 训练视频 | 2/3 |
| 246 | case_246 | 训练视频 | 0/2 |
| 247 | case_247 | 训练视频 | 2/3 |
| 248 | case_248 | 训练视频 | 0/4 |
| 249 | case_249 | 训练视频 | 0/3 |
| 250 | case_250 | 训练视频 | 1/3 |
| 251 | case_251 | 训练视频 | 1/3 |
| 252 | case_252 | 训练视频 | 0/3 |
| 253 | case_253 | 训练视频 | 0/2 |
| 254 | case_254 | 训练视频 | 1/2 |
| 255 | case_255 | 训练视频 | 5/8 |
| 256 | case_256 | 训练视频 | 0/4 |
| 257 | case_257 | 训练视频 | 2/6 |
| 258 | case_258 | 训练视频 | 4/6 |
| 259 | case_259 | 训练视频 | 0/3 |
| 260 | case_260 | 训练视频 | 0/3 |
| 261 | case_261 | 训练视频 | 2/6 |
| 262 | case_262 | 训练视频 | 1/3 |
| 263 | case_263 | 训练视频 | 0/1 |
| 264 | case_264 | 训练视频 | 2/3 |
| 265 | case_265 | 训练视频 | 0/1 |
| 266 | case_266 | 训练视频 | 3/3 |
| 267 | case_267 | 训练视频 | 0/1 |
| 268 | case_268 | 训练视频 | 0/3 |
| 269 | case_269 | 训练视频 | 2/3 |
| 270 | case_270 | 训练视频 | 2/6 |
| 271 | case_271 | 训练视频 | 0/4 |
| 272 | case_272 | 训练视频 | 0/2 |
| 273 | case_273 | 训练视频 | 1/3 |
| 274 | case_274 | 训练视频 | 3/5 |
| 275 | case_275 | 训练视频 | 0/3 |
| 276 | case_276 | 训练视频 | 0/5 |
| 277 | case_277 | 训练视频 | 0/3 |
| 278 | case_278 | 训练视频 | 2/6 |
| 279 | case_279 | 训练视频 | 0/7 |
| 280 | case_280 | 训练视频 | 1/3 |
| 281 | case_281 | 训练视频 | 3/5 |
| 282 | case_282 | 训练视频 | 0/3 |
| 283 | case_283 | 训练视频 | 2/3 |
| 284 | case_284 | 训练视频 | 0/3 |
| 285 | case_285 | 训练视频 | 3/4 |
| 286 | case_286 | 训练视频 | 0/3 |
| 287 | case_287 | 训练视频 | 2/4 |
| 288 | case_288 | 训练视频 | 4/6 |
| 289 | case_289 | 训练视频 | 0/3 |
| 290 | case_290 | 训练视频 | 2/3 |
| 291 | case_291 | 训练视频 | 3/6 |
| 292 | case_292 | 训练视频 | 3/6 |
| 293 | case_293 | 训练视频 | 0/4 |
| 294 | case_294 | 训练视频 | 1/5 |
| 295 | case_295 | 训练视频 | 0/3 |
| 296 | case_296 | 训练视频 | 1/6 |
| 297 | case_297 | 训练视频 | 3/5 |
| 298 | case_298 | 训练视频 | 1/5 |
| 299 | case_299 | 训练视频 | 1/3 |
| 300 | case_300 | 训练视频 | 0/3 |
| 301 | case_301 | 训练视频 | 0/3 |
| 302 | case_302 | 训练视频 | 1/3 |
| 303 | case_303 | 训练视频 | 1/3 |
| 304 | case_304 | 训练视频 | 0/6 |
| 305 | case_305 | 训练视频 | 0/1 |
| 306 | case_306 | 训练视频 | 0/6 |
| 307 | case_307 | 训练视频 | 2/3 |
| 308 | case_308 | 训练视频 | 2/7 |
| 309 | case_309 | 训练视频 | 2/4 |
| 310 | case_310 | 训练视频 | 0/3 |
| 311 | case_311 | 训练视频 | 0/3 |
| 312 | case_312 | 训练视频 | 0/3 |
| 313 | case_313 | 训练视频 | 1/3 |
| 314 | case_314 | 训练视频 | 2/5 |
| 315 | case_315 | 训练视频 | 0/4 |
| 316 | case_316 | 训练视频 | 0/1 |
| 317 | case_317 | 训练视频 | 1/2 |
| 318 | case_318 | 训练视频 | 2/4 |
| 319 | case_319 | 训练视频 | 3/6 |
| 320 | case_320 | 训练视频 | 0/1 |
| 321 | case_321 | 训练视频 | 1/3 |
| 322 | case_322 | 训练视频 | 3/6 |
| 323 | case_323 | 训练视频 | 0/1 |
| 324 | case_324 | 训练视频 | 3/3 |
| 325 | case_325 | 训练视频 | 0/3 |
| 326 | case_326 | 训练视频 | 0/1 |
| 327 | case_327 | 训练视频 | 0/3 |
| 328 | case_328 | 训练视频 | 1/4 |
| 329 | case_329 | 训练视频 | 0/1 |
| 330 | case_330 | 训练视频 | 1/3 |
| 331 | case_331 | 训练视频 | 1/4 |
| 332 | case_332 | 训练视频 | 2/3 |
| 333 | case_333 | 训练视频 | 1/6 |
| 334 | case_334 | 训练视频 | 0/2 |
| 335 | case_335 | 训练视频 | 0/2 |
| 336 | case_336 | 训练视频 | 1/3 |
| 337 | case_337 | 训练视频 | 5/7 |
| 338 | case_338 | 训练视频 | 0/1 |
| 339 | case_339 | 训练视频 | 2/5 |
| 340 | case_340 | 训练视频 | 1/5 |
| 341 | case_341 | 训练视频 | 0/3 |
| 342 | case_342 | 训练视频 | 2/3 |
| 343 | case_343 | 训练视频 | 1/3 |
| 344 | case_344 | 训练视频 | 1/4 |
| 345 | case_345 | 训练视频 | 2/3 |
| 346 | case_346 | 训练视频 | 0/3 |
| 347 | case_347 | 训练视频 | 1/6 |
| 348 | case_348 | 训练视频 | 2/3 |
| 349 | case_349 | 训练视频 | 0/4 |
| 350 | case_350 | 训练视频 | 2/3 |
| 351 | case_351 | 训练视频 | 0/1 |
| 352 | case_352 | 训练视频 | 0/3 |
| 353 | case_353 | 训练视频 | 3/6 |
| 354 | case_354 | 训练视频 | 2/3 |
| 355 | case_355 | 训练视频 | 1/5 |
| 356 | case_356 | 训练视频 | 1/3 |
| 357 | case_357 | 训练视频 | 0/3 |
| 358 | case_358 | 训练视频 | 4/6 |
| 359 | case_359 | 训练视频 | 1/4 |
| 360 | case_360 | 训练视频 | 2/3 |
| 361 | case_361 | 训练视频 | 1/3 |
| 362 | case_362 | 训练视频 | 2/3 |
| 363 | case_363 | 训练视频 | 1/3 |
| 364 | case_364 | 训练视频 | 0/4 |
| 365 | case_365 | 训练视频 | 1/3 |
| 366 | case_366 | 训练视频 | 2/3 |
| 367 | case_367 | 训练视频 | 0/3 |
| 368 | case_368 | 训练视频 | 0/3 |
| 369 | case_369 | 训练视频 | 2/3 |
| 370 | case_370 | 训练视频 | 0/3 |
| 371 | case_371 | 训练视频 | 2/7 |
| 372 | case_372 | 训练视频 | 2/3 |
| 373 | case_373 | 训练视频 | 0/2 |
| 374 | case_374 | 训练视频 | 0/3 |
| 375 | case_375 | 训练视频 | 1/2 |
| 376 | case_376 | 训练视频 | 1/5 |
| 377 | case_377 | 训练视频 | 2/5 |
| 378 | case_378 | 训练视频 | 0/3 |
| 379 | case_379 | 训练视频 | 2/3 |
| 380 | case_380 | 训练视频 | 0/3 |
| 381 | case_381 | 训练视频 | 1/3 |
| 382 | case_382 | 训练视频 | 0/3 |
| 383 | case_383 | 训练视频 | 2/4 |
| 384 | case_384 | 训练视频 | 1/4 |
| 385 | case_385 | 训练视频 | 1/2 |
| 386 | case_386 | 训练视频 | 0/3 |
| 387 | case_387 | 训练视频 | 0/6 |
| 388 | case_388 | 训练视频 | 1/5 |
| 389 | case_389 | 训练视频 | 0/1 |
| 390 | case_390 | 训练视频 | 3/5 |
| 391 | case_391 | 训练视频 | 0/6 |
| 392 | case_392 | 训练视频 | 2/3 |
| 393 | case_393 | 训练视频 | 1/3 |
| 394 | case_394 | 训练视频 | 0/3 |
| 395 | case_395 | 训练视频 | 4/7 |
| 396 | case_396 | 训练视频 | 1/7 |
| 397 | case_397 | 训练视频 | 0/3 |
| 398 | case_398 | 训练视频 | 2/6 |
| 399 | case_399 | 训练视频 | 4/6 |
| 400 | case_400 | 训练视频 | 1/3 |
| 401 | case_401 | 训练视频 | 3/6 |
| 402 | case_402 | 训练视频 | 2/3 |
| 403 | case_403 | 训练视频 | 0/3 |
| 404 | case_404 | 训练视频 | 1/3 |
| 405 | case_405 | 训练视频 | 0/3 |
| 406 | case_406 | 训练视频 | 0/4 |
| 407 | case_407 | 训练视频 | 0/2 |
| 408 | case_408 | 训练视频 | 0/3 |
| 409 | case_409 | 训练视频 | 0/4 |
| 410 | case_410 | 训练视频 | 1/3 |
| 411 | case_411 | 训练视频 | 0/3 |
| 412 | case_412 | 训练视频 | 0/1 |
| 413 | case_413 | 训练视频 | 2/5 |
| 414 | case_414 | 训练视频 | 0/3 |
| 415 | case_415 | 训练视频 | 0/4 |
| 416 | case_416 | 训练视频 | 1/5 |
| 417 | case_417 | 训练视频 | 0/3 |
| 418 | case_418 | 训练视频 | 1/3 |
| 419 | case_419 | 训练视频 | 1/3 |
| 420 | case_420 | 训练视频 | 1/3 |
| 421 | case_421 | 训练视频 | 0/1 |
| 422 | case_422 | 训练视频 | 1/3 |
| 423 | case_423 | 训练视频 | 0/3 |
| 424 | case_424 | 训练视频 | 0/3 |
| 425 | case_425 | 训练视频 | 2/2 |
| 426 | case_426 | 训练视频 | 0/4 |
| 427 | case_427 | 训练视频 | 2/3 |
| 428 | case_428 | 训练视频 | 0/3 |
| 429 | case_429 | 训练视频 | 4/5 |
| 430 | case_430 | 训练视频 | 2/6 |
| 431 | case_431 | 训练视频 | 1/3 |
| 432 | case_432 | 训练视频 | 3/6 |
| 433 | case_433 | 训练视频 | 3/5 |
| 434 | case_434 | 训练视频 | 2/6 |
| 435 | case_435 | 训练视频 | 0/1 |
| 436 | case_436 | 训练视频 | 0/3 |
| 437 | case_437 | 训练视频 | 0/2 |
| 438 | case_438 | 训练视频 | 1/3 |
| 439 | case_439 | 训练视频 | 2/6 |
| 440 | case_440 | 训练视频 | 0/3 |
| 441 | case_441 | 训练视频 | 2/3 |
| 442 | case_442 | 训练视频 | 2/3 |
| 443 | case_443 | 训练视频 | 1/3 |
| 444 | case_444 | 训练视频 | 0/4 |
| 445 | case_445 | 训练视频 | 0/3 |
| 446 | case_446 | 训练视频 | 0/4 |
| 447 | case_447 | 训练视频 | 2/3 |
| 448 | case_448 | 训练视频 | 0/1 |
| 449 | case_449 | 训练视频 | 0/3 |
| 450 | case_450 | 训练视频 | 3/4 |
| 451 | case_451 | 训练视频 | 3/5 |
| 452 | case_452 | 训练视频 | 0/3 |
| 453 | case_453 | 训练视频 | 1/3 |
| 454 | case_454 | 训练视频 | 0/3 |
| 455 | case_455 | 训练视频 | 2/4 |
| 456 | case_456 | 训练视频 | 0/6 |
| 457 | case_457 | 训练视频 | 2/3 |
| 458 | case_458 | 训练视频 | 3/5 |
| 459 | case_459 | 训练视频 | 1/3 |
| 460 | case_460 | 训练视频 | 0/3 |
| 461 | case_461 | 训练视频 | 0/4 |
| 462 | case_462 | 训练视频 | 0/3 |
| 463 | case_463 | 训练视频 | 3/3 |
| 464 | case_464 | 训练视频 | 0/7 |
| 465 | case_465 | 训练视频 | 0/3 |
| 466 | case_466 | 训练视频 | 0/3 |
| 467 | case_467 | 训练视频 | 1/5 |
| 468 | case_468 | 训练视频 | 0/3 |
| 469 | case_469 | 训练视频 | 1/6 |
| 470 | case_470 | 训练视频 | 1/4 |
| 471 | case_471 | 训练视频 | 0/2 |
| 472 | case_472 | 训练视频 | 0/5 |
| 473 | case_473 | 训练视频 | 5/6 |
| 474 | case_474 | 训练视频 | 1/3 |
| 475 | case_475 | 训练视频 | 0/3 |
| 476 | case_476 | 训练视频 | 2/4 |
| 477 | case_477 | 训练视频 | 2/3 |
| 478 | case_478 | 训练视频 | 0/1 |
| 479 | case_479 | 训练视频 | 0/2 |
| 480 | case_480 | 训练视频 | 3/5 |
| 481 | case_481 | 训练视频 | 0/1 |
| 482 | case_482 | 训练视频 | 1/3 |
| 483 | case_483 | 训练视频 | 2/3 |
| 484 | case_484 | 训练视频 | 0/1 |
| 485 | case_485 | 训练视频 | 1/3 |
| 486 | case_486 | 训练视频 | 0/3 |
| 487 | case_487 | 训练视频 | 2/2 |
| 488 | case_488 | 训练视频 | 1/6 |
| 489 | case_489 | 训练视频 | 1/5 |
| 490 | case_490 | 训练视频 | 1/1 |
| 491 | case_491 | 训练视频 | 1/5 |
| 492 | case_492 | 训练视频 | 3/3 |
| 493 | case_493 | 训练视频 | 1/3 |
| 494 | case_494 | 训练视频 | 3/3 |
| 495 | case_495 | 训练视频 | 0/1 |
| 496 | case_496 | 训练视频 | 0/4 |
| 497 | case_497 | 训练视频 | 0/1 |
| 498 | case_498 | 训练视频 | 2/5 |
| 499 | case_499 | 训练视频 | 3/4 |
| 500 | case_500 | 训练视频 | 1/3 |
| 501 | case_501 | 训练视频 | 5/7 |
| 502 | case_502 | 训练视频 | 0/4 |
| 503 | case_503 | 训练视频 | 0/3 |
| 504 | case_504 | 训练视频 | 0/1 |
| 505 | case_505 | 训练视频 | 0/3 |
| 506 | case_506 | 训练视频 | 1/3 |
| 507 | case_507 | 训练视频 | 2/3 |
| 508 | case_508 | 训练视频 | 2/2 |
| 509 | case_509 | 训练视频 | 1/3 |
| 510 | case_510 | 训练视频 | 0/4 |
| 511 | case_511 | 训练视频 | 2/6 |
| 512 | case_512 | 训练视频 | 0/2 |
| 513 | case_513 | 训练视频 | 1/3 |
| 514 | case_514 | 训练视频 | 0/3 |
| 515 | case_515 | 训练视频 | 1/1 |
| 516 | case_516 | 训练视频 | 2/6 |
| 517 | case_517 | 训练视频 | 1/3 |
| 518 | case_518 | 训练视频 | 0/3 |
| 519 | case_519 | 训练视频 | 3/7 |
| 520 | case_520 | 训练视频 | 1/3 |
| 521 | case_521 | 训练视频 | 3/3 |
| 522 | case_522 | 训练视频 | 0/3 |
| 523 | case_523 | 训练视频 | 2/6 |
| 524 | case_524 | 训练视频 | 0/3 |
| 525 | case_525 | 训练视频 | 2/5 |
| 526 | case_526 | 训练视频 | 2/3 |
| 527 | case_527 | 训练视频 | 0/4 |
| 528 | case_528 | 训练视频 | 0/3 |
| 529 | case_529 | 训练视频 | 0/3 |
| 530 | case_530 | 训练视频 | 3/3 |
| 531 | case_531 | 训练视频 | 0/3 |
| 532 | case_532 | 训练视频 | 4/6 |
| 533 | case_533 | 训练视频 | 1/3 |
| 534 | case_534 | 训练视频 | 2/3 |
| 535 | case_535 | 训练视频 | 0/3 |
| 536 | case_536 | 训练视频 | 0/1 |
| 537 | case_537 | 训练视频 | 0/4 |
| 538 | case_538 | 训练视频 | 2/3 |
| 539 | case_539 | 训练视频 | 1/7 |
| 540 | case_540 | 训练视频 | 0/5 |
| 541 | case_541 | 训练视频 | 7/8 |
| 542 | case_542 | 训练视频 | 3/4 |
| 543 | case_543 | 训练视频 | 0/3 |
| 544 | case_544 | 训练视频 | 0/3 |
| 545 | case_545 | 训练视频 | 0/1 |
| 546 | case_546 | 训练视频 | 2/7 |
| 547 | case_547 | 训练视频 | 1/3 |
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