Add fixed Rush Road OOD L1-L5 benchmark (50 per level)
Browse files- ood/rush-road-l1-l5-50-each/README.md +22 -0
- ood/rush-road-l1-l5-50-each/manifest.json +2267 -0
- ood/rush-road-l1-l5-50-each/prompts/negative_prompt.txt +1 -0
- ood/rush-road-l1-l5-50-each/prompts/training_prompt.txt +1 -0
- ood/rush-road-l1-l5-50-each/rush-road-ood-l1-l5-50-each.tar.zst +3 -0
- ood/rush-road-l1-l5-50-each/rush-road-ood-l1-l5-50-each.tar.zst.sha256 +3 -0
ood/rush-road-l1-l5-50-each/README.md
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# Rush Road OOD L1-L5
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Fixed Golden/Mentis Oculi OOD evaluation set for Wan2.2 TI2V-5B.
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- 250 cases total: 50 each for Levels 1 through 5.
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- Inputs are 832x480 PNG first frames; no generated prediction videos are included.
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- `ground_truth/` contains the source seed and normalized optimal actions for validation.
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- `prompts/` contains the positive and negative prompts used by the existing Rush Road experiments.
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- The L2/L3 inputs are pixel-identical to the original 100-case OOD benchmark.
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- Golden source generation used base seed 42. Actual per-case seeds are recorded in `manifest.json` and every ground-truth JSON.
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Inference must consume only the PNG input and prompts. Ground truth must not be provided to the video model or video parser; use it only after parsing to validate the predicted action trace.
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## Layout
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```text
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inputs/l01_case_0001.png
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ground_truth/l01_case_0001.json
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prompts/training_prompt.txt
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prompts/negative_prompt.txt
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manifest.json
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```
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ood/rush-road-l1-l5-50-each/manifest.json
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|
| 1 |
+
{
|
| 2 |
+
"name": "task4_rush_road_ood_12345_50_each",
|
| 3 |
+
"generator": "Mentis Oculi Rush Hour Golden generator",
|
| 4 |
+
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|
| 5 |
+
"selection": "puzzle_0001 through puzzle_0050 from each selected level",
|
| 6 |
+
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|
| 7 |
+
"total": 250,
|
| 8 |
+
"levels": {
|
| 9 |
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|
| 10 |
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|
| 11 |
+
"3": 50,
|
| 12 |
+
"4": 50,
|
| 13 |
+
"5": 50
|
| 14 |
+
},
|
| 15 |
+
"cases": [
|
| 16 |
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{
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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"input": "inputs/l01_case_0001.png",
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| 22 |
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"input_sha256": "60926a35bf35f6b355fbec0310c5996d1e59a0429e8df838e97589b2825efb9e",
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| 23 |
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"ground_truth": "ground_truth/l01_case_0001.json"
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
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"case_id": "l01_case_0002",
|
| 27 |
+
"level": 1,
|
| 28 |
+
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|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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|
| 34 |
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{
|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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| 39 |
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| 40 |
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| 41 |
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|
| 42 |
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|
| 43 |
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{
|
| 44 |
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"case_id": "l01_case_0004",
|
| 45 |
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"level": 1,
|
| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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{
|
| 53 |
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|
| 54 |
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|
| 55 |
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| 56 |
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|
| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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{
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| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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| 67 |
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| 68 |
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|
| 69 |
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|
| 70 |
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{
|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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{
|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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|
| 87 |
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|
| 88 |
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{
|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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"input_sha256": "157e1048829296f2a0377de70e01580027be56fe54bbd02cf0c66f5b2f85ee7d",
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| 95 |
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|
| 96 |
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|
| 97 |
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{
|
| 98 |
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|
| 99 |
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"level": 1,
|
| 100 |
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|
| 101 |
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|
| 102 |
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"input": "inputs/l01_case_0010.png",
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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{
|
| 107 |
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"case_id": "l01_case_0011",
|
| 108 |
+
"level": 1,
|
| 109 |
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|
| 110 |
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"seed": 52,
|
| 111 |
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"input": "inputs/l01_case_0011.png",
|
| 112 |
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"input_sha256": "d2446b1d96af475ad0ff6d13011513a5ff66625673174fa3a47b63c40ca11364",
|
| 113 |
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"ground_truth": "ground_truth/l01_case_0011.json"
|
| 114 |
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|
| 115 |
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{
|
| 116 |
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|
| 117 |
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"level": 1,
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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"input_sha256": "ef611b92fd0416d9871b0f222efdbce277b4a7c4c356b536c42d0acbd3c5a965",
|
| 122 |
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| 1990 |
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|
| 1995 |
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|
| 1996 |
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{
|
| 1997 |
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|
| 1998 |
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|
| 1999 |
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|
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|
| 2004 |
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{
|
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|
| 2013 |
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|
| 2014 |
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{
|
| 2015 |
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|
| 2016 |
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|
| 2017 |
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|
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{
|
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| 2026 |
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{
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{
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| 2105 |
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| 2106 |
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| 2107 |
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| 2109 |
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| 2110 |
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{
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| 2114 |
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| 2116 |
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{
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| 2123 |
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| 2124 |
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{
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| 2132 |
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| 2133 |
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| 2134 |
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| 2135 |
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| 2136 |
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{
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| 2141 |
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| 2142 |
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| 2143 |
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| 2144 |
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| 2148 |
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| 2149 |
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{
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| 2150 |
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|
| 2151 |
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|
| 2152 |
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|
| 2153 |
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| 2154 |
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|
| 2157 |
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| 2158 |
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{
|
| 2159 |
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"case_id": "l05_case_0039",
|
| 2160 |
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"level": 5,
|
| 2161 |
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|
| 2162 |
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| 2163 |
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| 2164 |
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|
| 2166 |
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| 2167 |
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{
|
| 2168 |
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|
| 2169 |
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| 2170 |
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|
| 2171 |
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|
| 2172 |
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| 2175 |
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| 2176 |
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{
|
| 2177 |
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|
| 2178 |
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| 2179 |
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|
| 2180 |
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"seed": 817,
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| 2181 |
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"input": "inputs/l05_case_0041.png",
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| 2184 |
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{
|
| 2186 |
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"case_id": "l05_case_0042",
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| 2187 |
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| 2188 |
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|
| 2189 |
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"seed": 822,
|
| 2190 |
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"input": "inputs/l05_case_0042.png",
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| 2191 |
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| 2192 |
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"ground_truth": "ground_truth/l05_case_0042.json"
|
| 2193 |
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},
|
| 2194 |
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{
|
| 2195 |
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"case_id": "l05_case_0043",
|
| 2196 |
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"level": 5,
|
| 2197 |
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"puzzle_id": 43,
|
| 2198 |
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"seed": 827,
|
| 2199 |
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"input": "inputs/l05_case_0043.png",
|
| 2200 |
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| 2201 |
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"ground_truth": "ground_truth/l05_case_0043.json"
|
| 2202 |
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},
|
| 2203 |
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{
|
| 2204 |
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"case_id": "l05_case_0044",
|
| 2205 |
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"level": 5,
|
| 2206 |
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"puzzle_id": 44,
|
| 2207 |
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"seed": 833,
|
| 2208 |
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"input": "inputs/l05_case_0044.png",
|
| 2209 |
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| 2210 |
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|
| 2211 |
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},
|
| 2212 |
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{
|
| 2213 |
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"case_id": "l05_case_0045",
|
| 2214 |
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"level": 5,
|
| 2215 |
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|
| 2216 |
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"seed": 836,
|
| 2217 |
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"input": "inputs/l05_case_0045.png",
|
| 2218 |
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|
| 2219 |
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"ground_truth": "ground_truth/l05_case_0045.json"
|
| 2220 |
+
},
|
| 2221 |
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{
|
| 2222 |
+
"case_id": "l05_case_0046",
|
| 2223 |
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"level": 5,
|
| 2224 |
+
"puzzle_id": 46,
|
| 2225 |
+
"seed": 845,
|
| 2226 |
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"input": "inputs/l05_case_0046.png",
|
| 2227 |
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|
| 2228 |
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"ground_truth": "ground_truth/l05_case_0046.json"
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"case_id": "l05_case_0047",
|
| 2232 |
+
"level": 5,
|
| 2233 |
+
"puzzle_id": 47,
|
| 2234 |
+
"seed": 846,
|
| 2235 |
+
"input": "inputs/l05_case_0047.png",
|
| 2236 |
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|
| 2237 |
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"ground_truth": "ground_truth/l05_case_0047.json"
|
| 2238 |
+
},
|
| 2239 |
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{
|
| 2240 |
+
"case_id": "l05_case_0048",
|
| 2241 |
+
"level": 5,
|
| 2242 |
+
"puzzle_id": 48,
|
| 2243 |
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"seed": 851,
|
| 2244 |
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"input": "inputs/l05_case_0048.png",
|
| 2245 |
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"input_sha256": "5489978842f41d3b2c82aa935257d5482a5682aa67ec3f34c0da9827af160a2f",
|
| 2246 |
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"ground_truth": "ground_truth/l05_case_0048.json"
|
| 2247 |
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},
|
| 2248 |
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{
|
| 2249 |
+
"case_id": "l05_case_0049",
|
| 2250 |
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"level": 5,
|
| 2251 |
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"puzzle_id": 49,
|
| 2252 |
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"seed": 856,
|
| 2253 |
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|
| 2254 |
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|
| 2255 |
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"ground_truth": "ground_truth/l05_case_0049.json"
|
| 2256 |
+
},
|
| 2257 |
+
{
|
| 2258 |
+
"case_id": "l05_case_0050",
|
| 2259 |
+
"level": 5,
|
| 2260 |
+
"puzzle_id": 50,
|
| 2261 |
+
"seed": 857,
|
| 2262 |
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"input": "inputs/l05_case_0050.png",
|
| 2263 |
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"input_sha256": "b073edc374ededad391b36edeae86f52c53e2c6057b0ce791958fe21daf09b52",
|
| 2264 |
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"ground_truth": "ground_truth/l05_case_0050.json"
|
| 2265 |
+
}
|
| 2266 |
+
]
|
| 2267 |
+
}
|
ood/rush-road-l1-l5-50-each/prompts/negative_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
镜头移动、缩放、旋转、倾斜、抖动、视角变化、车辆旋转、车辆变形、车辆变色、车辆消失、新增车辆、多个车辆同时移动、穿模、碰撞重叠、越过边界、偏离轨道、未滑到阻挡位置、错误出口、背景变化、棋盘变化、轨道变化、障碍物移动、文字变化、字母变化、新增文字、新增标记、UI、水印、光影变化、反射、纹理变化、闪烁、模糊、低清晰度、跳帧、不连续运动。
|
ood/rush-road-l1-l5-50-each/prompts/training_prompt.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
固定俯视视角的二维停车场解谜动画。输入图像是视频第一帧：不同颜色的矩形车辆位于各自的直线虚线轨道上，红色 R 车需要到达棋盘边缘的绿色出口。根据图中布局，演示最短合法解法。每次只移动一辆车；车辆只能沿自身长轴和轨道直线前进或后退，不能旋转。普通车辆沿选定方向持续滑动，直到即将碰到其他车辆、固定障碍物或棋盘边界后停止；当前车辆停稳后，下一辆车才开始移动，最后让红色 R 车到达出口。动作平滑、连续、逐步清晰。镜头全程固定，无缩放、平移或旋转。车辆的数量、形状、尺寸、颜色、字母和朝向保持不变；棋盘、出口、轨道、障碍物和背景保持静止，不新增或删除任何元素。
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ood/rush-road-l1-l5-50-each/rush-road-ood-l1-l5-50-each.tar.zst
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