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navsim_4s_train_00000000
{ "trajectory": [ [ 4.5449325239, 0.019752949, 0.0039961978 ], [ 8.9064646756, 0.0412857197, 0.0071775716 ], [ 13.0795495978, 0.080786438, 0.0089638748 ], [ 17.0784666574, 0.1270512379, 0.009581966 ], [ 2...
1.014773
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9.145532
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000001
{ "trajectory": [ [ 2.9725973268, 0.0442965575, 0.0219084283 ], [ 5.9680348009, 0.1179146844, 0.0242272023 ], [ 8.9855739248, 0.1561027953, 0.0137196348 ], [ 12.0707236012, 0.1682593339, -0.0076029574 ], [ ...
1.373931
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5.924064
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000002
{ "trajectory": [ [ 2.9963313574, 0.0079803825, 0.0023187739 ], [ 6.0139829067, -0.0199449222, -0.0081887935 ], [ 9.0986585182, -0.0753766745, -0.0295113857 ], [ 12.2590383465, -0.1952859872, -0.0504319117 ], [...
1.349067
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5.9692
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000003
{ "trajectory": [ [ 3.0175786844, -0.0349224751, -0.0105075674 ], [ 6.1021174696, -0.0975067374, -0.0318301596 ], [ 9.2622107593, -0.2247439275, -0.0527506856 ], [ 12.4119819038, -0.4063178284, -0.0715934387 ], ...
1.102843
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6.014016
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000004
{ "trajectory": [ [ 3.0850261026, -0.0301704046, -0.0213225922 ], [ 6.2462818714, -0.1241962884, -0.0422431182 ], [ 9.3977870009, -0.2726643421, -0.0610858713 ], [ 12.5199193781, -0.4870121577, -0.078171065 ], ...
0.542441
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6.102897
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000005
{ "trajectory": [ [ 3.1625418825, -0.02660345, -0.020920526 ], [ 6.3164961025, -0.1078445874, -0.0397632791 ], [ 9.442488868, -0.2555767668, -0.0568484727 ], [ 12.4967134733, -0.4451488179, -0.0696310704 ], [ ...
0.787214
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6.247516
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000006
{ "trajectory": [ [ 3.1549635354, -0.0152457914, -0.0188427531 ], [ 6.2833626612, -0.0975530006, -0.0359279468 ], [ 9.3408845798, -0.2231922439, -0.0487105444 ], [ 12.3232634521, -0.3902108454, -0.0602758935 ], ...
1.55964
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6.317417
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000007
{ "trajectory": [ [ 3.1293945769, -0.0233484339, -0.0170851937 ], [ 6.1887409751, -0.0913566523, -0.0298677913 ], [ 9.1737373212, -0.2021527013, -0.0414331404 ], [ 12.0597352124, -0.3606661891, -0.0490787854 ], ...
1.700671
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6.28412
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000008
{ "trajectory": [ [ 3.0600617686, -0.0157313099, -0.0127825977 ], [ 6.0465153393, -0.0755144289, -0.0243479468 ], [ 8.9348001257, -0.1846993478, -0.0319935917 ], [ 11.5694216073, -0.2877514619, -0.0369941673 ], ...
1.795058
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6.189415
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000009
{ "trajectory": [ [ 2.9869737512, -0.0216046401, -0.0115653491 ], [ 5.8764182043, -0.093861862, -0.0192109941 ], [ 8.512141685, -0.1632291678, -0.0242115696 ], [ 10.767642444, -0.2216791879, -0.0274360455 ], [ ...
2.030561
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6.046987
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000010
{ "trajectory": [ [ 2.8900868745, -0.0388357007, -0.007645645 ], [ 5.5264363227, -0.0777159847, -0.0126462205 ], [ 7.7824622184, -0.1100770237, -0.0158706964 ], [ 9.5603061501, -0.1398179687, -0.0176383186 ], [...
2.371343
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5.877168
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000011
{ "trajectory": [ [ 2.6365696555, -0.0187227521, -0.0050005755 ], [ 4.8927770311, -0.0338342402, -0.0082250515 ], [ 6.6707963868, -0.0499816848, -0.0099926736 ], [ 8.0199551175, -0.0657557084, -0.0116307516 ], ...
2.814439
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5.526983
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000012
{ "trajectory": [ [ 0.0202327843, -0.0000162627, -0.0004489787 ], [ -0.0181792175, -0.0005587253, -0.0007557091 ], [ 0.0675230787, 0.002249673, -0.0011480928 ], [ 0.5070522868, 0.0078090455, -0.0016205375 ], [ ...
3.324302
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0.264504
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000013
{ "trajectory": [ [ -0.0384117544, -0.0005597088, -0.0003067304 ], [ 0.0472892723, 0.0022871677, -0.0006991141 ], [ 0.48681594, 0.0080438789, -0.0011715589 ], [ 1.3631312223, 0.0148267248, -0.0027100828 ], [ ...
4.936023
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0.018188
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000014
{ "trajectory": [ [ 0.0857001495, 0.0028731635, -0.0003923837 ], [ 0.5252250307, 0.0087646906, -0.0008648285 ], [ 1.4015381913, 0.0158163287, -0.0024033523 ], [ 2.7248410526, 0.0230926509, -0.0035974095 ], [ ...
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navsim_4s_train_00000015
{ "trajectory": [ [ 0.4395225357, 0.006063989, -0.0004724448 ], [ 1.3158328618, 0.0134594776, -0.0020109687 ], [ 2.6391327661, 0.0212550417, -0.0032050259 ], [ 4.357536401, 0.0100377083, -0.0022280835 ], [ ...
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navsim_4s_train_00000016
{ "trajectory": [ [ 0.8763067344, 0.0078094959, -0.0015385239 ], [ 2.199602808, 0.0162302453, -0.0027325811 ], [ 3.9180115507, 0.005824764, -0.0017556387 ], [ 6.0693659574, -0.017418959, 0.0001269629 ], [ ...
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[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000017
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navsim_4s_train_00000018
{ "trajectory": [ [ -0.0018037092, 0.000072046, -0.0000340921 ], [ 0.003797531, -0.00008768, 0.0002087168 ], [ 0.082438375, -0.0009891155, 0.0006126761 ], [ 0.4808936586, -0.0028309126, 0.0009447231 ], [ ...
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[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000019
{ "trajectory": [ [ 0.0056012457, -0.0001595351, 0.0002428089 ], [ 0.0842421203, -0.0010582895, 0.0006467682 ], [ 0.4826974665, -0.0028865025, 0.0009788151 ], [ 1.2686684383, -0.0036452141, 0.0177389159 ], [ ...
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[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000020
{ "trajectory": [ [ 0.0786406541, -0.0009178491, 0.0004039593 ], [ 0.4770955446, -0.0028428105, 0.0007360062 ], [ 1.263066309, -0.0037923628, 0.017496107 ], [ 2.4592878158, 0.0461309345, 0.1087543775 ], [ ...
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0.084249
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000021
{ "trajectory": [ [ 0.3984540804, -0.0020859208, 0.0003320469 ], [ 1.1844243971, -0.0033529732, 0.0170921477 ], [ 2.3806659733, 0.0460870952, 0.1083504182 ], [ 3.9966444348, 0.311968901, 0.2644326756 ], [ ...
3.453713
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0.477104
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000022
{ "trajectory": [ [ 1.6352541656, 0.0895730788, 0.1560822574 ], [ 3.5860103403, 0.5730747315, 0.3582480808 ], [ 5.6254866496, 1.5648305842, 0.569482558 ], [ 7.5228854865, 2.9840761876, 0.7443461965 ], [ 9...
4.421732
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2.829843
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000023
{ "trajectory": [ [ 2.0022025246, 0.1743804801, 0.2021658233 ], [ 4.1710544458, 0.8370452756, 0.4134003006 ], [ 6.2660089854, 1.9440890445, 0.5882639391 ], [ 8.1360410594, 3.3192172718, 0.7224470356 ], [ ...
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3.631513
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000024
{ "trajectory": [ [ 2.2577385439, 0.2136819008, 0.2112344773 ], [ 4.5323122274, 0.8775305187, 0.3860981158 ], [ 6.6403733014, 1.8491663085, 0.5202812123 ], [ 8.5148677297, 3.0326589517, 0.6379664176 ], [ ...
5.31541
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4.254214
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000025
{ "trajectory": [ [ 2.3632035618, 0.1721898796, 0.1748636385 ], [ 4.6281284611, 0.680237909, 0.3090467351 ], [ 6.7090976517, 1.4444050545, 0.4267319403 ], [ 8.5845473976, 2.4013807793, 0.5272642062 ], [ 1...
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4.616483
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
navsim_4s_train_00000026
{ "trajectory": [ [ 2.3187724846, 0.1062627139, 0.1341830965 ], [ 4.5009525656, 0.496742281, 0.2518683018 ], [ 6.51429097, 1.1128451595, 0.3524005677 ], [ 8.3908252449, 1.8975625087, 0.4546249392 ], [ 10....
4.050276
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4.677852
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navsim_4s_train_00000027
{ "trajectory": [ [ 2.2148030176, 0.0950357388, 0.1176852052 ], [ 4.2924661512, 0.4362544231, 0.2182174711 ], [ 6.2571122729, 0.9628736592, 0.3204418426 ], [ 8.161566474, 1.7128561789, 0.422045523 ], [ 10...
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4.528281
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navsim_4s_train_00000028
{ "trajectory": [ [ 2.1033558762, 0.0949123039, 0.1005322659 ], [ 4.1162450418, 0.3872125097, 0.2027566374 ], [ 6.0955845478, 0.908398373, 0.3043603177 ], [ 8.0821536794, 1.6578020433, 0.4166631469 ], [ 1...
0.985647
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[ [ 2.1033558762, 0.0949123039, 0.1005322659 ], [ 4.1162450418, 0.3872125097, 0.2027566374 ], [ 6.0955845478, 0.908398373, 0.3043603177 ], [ 8.0821536794, 1.6578020433, 0.4166631469 ], [ 10.0502697331, 2.6743936207, 0.5445549556 ], [ ...
[ [ -6.7052841187, 1.4620068073, -0.4267319441 ], [ -4.4827356339, 0.6406299472, -0.2518683076 ], [ -2.210641861, 0.1656699181, -0.1176852062 ], [ 0, 0, 0 ], [ 2.1033558762, 0.0949123039, 0.1005322659 ], [ 4.1162450418, 0.38721250...
4.314578
[ { "role": "system", "content": "You are a vehicle trajectory prediction model for autonomous driving. Your task is to predict the ego vehicle's 4-second trajectory based on the following inputs: left-front, front, and right-front camera views, ego vehicle states (position), and discrete navigation commands....
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