Dataset Viewer
Auto-converted to Parquet Duplicate
trajectory_id
uint32
0
2.5k
short_id
stringlengths
8
8
decline_angle_deg
float64
3.5
14
max_fluid_temp_c
float64
58.2
281
is_rotor_hot
bool
2 classes
is_freefall
bool
2 classes
proof_hash
stringlengths
64
64
0
4e81d293
6.8
74.9
false
false
a871e88948f94173bb2231c81902d85495fe3d4af3fe723c170bb9e6bf4e2d75
1
b2148b81
6
101.9
false
false
e58e6c8ba28f850437327595de99744786b9d8400eaae0865425e21097a18e5f
2
1ce15fff
8.3
113
false
false
f02bd3de48077886b819459a28e9dea4a0ced879ec367abad465b956c8be174b
3
6db7db8d
11.2
145.6
true
false
d1029c4ab07f427d2f2483c4cece69e8cf24a83e26328f5b61a1c46fe69b80ef
4
21abedab
6
86.7
false
false
5c6c3a90e41d03114073d4aecf3c798ef627640816c11678c5c430980fedd1ef
5
37ccc9d9
13.6
139.3
false
false
a6d14701f48442d8ea8ed0c61ca83e69816a95154c912e4589bcae224fd3ff8f
6
1954c797
4.7
86.3
false
false
9a1a44aaae84876d1cadf745ce94e043a50dcb1e9aeb5dcdc0e185570eb8925a
7
490a4265
9.7
125.1
false
false
98f3870223dfd1aebbcde907b77149147e7c13edd5e3ba74b9de755168f49bb8
8
92c979c3
6.3
121
false
false
81eda0adfe1a29750ea12c9cd033b098290bdf50552bfa480758d8684d661afb
9
586f7131
5.2
97.5
false
false
db5079aded878b117d389ceff144e8fcd25edd64ce814e4f8bfd0311ff95c307
10
fb9dd02f
6.5
127.6
false
false
f42a0e38c0b063b419c5930a3bf2b23754f9021897578e48be6ab144cb88a4e0
11
540fc23d
5.7
89.3
false
false
54b2383e3141aa2d69f9f70bc7f1c5215bb463b8cd2eff67f326c00d688181e0
12
3077d6db
7.2
94
false
false
cdde8f589bd6663dfd444e7a2b32ed2142bc146aa568c604e7f1fc6e3477303d
13
1c1ee189
6.3
116.5
false
false
0faeb7cd554960502252575363176bea7657b4d1f2e8d551a69cb3523d5b5e15
14
9dbbd9c7
13.1
221.3
true
true
219b9c9d0e2eed47e01855485848c5558548ed52ae9745ffdb90cb1c69b4b283
15
ec3cbb15
12
152.8
true
false
81e209d4b77614bfb365dca4eb7e0853ad6ed3d695aa2e343e959b8e22d21d7b
16
3c7864f3
6.3
102.3
false
false
cfc191a8f92ad6177f178abac66c372262662a76c7e0bfa7993b5245e9f086d0
17
5f017ae1
6.9
101.5
false
false
cae73ef28256387c22c8f0865dcd214c146be315e4feefd59ea43c2d7722cbf0
18
f792445f
3.7
70.4
false
false
05e44723be152d6f8529895729863479b5b02033529943109e63177cb33f1638
19
37c98ced
13.8
209.7
true
true
cd42c6997a7748257a470693ab86609538d149e8791d670a5674d2c16819a220
20
4530840b
7.1
118.4
false
false
f615902bfda8cb5df8022eeb4fe78ca0f339b443dcc885bfec7511f425ae1b0e
21
5ec19d39
8.1
104
false
false
318142084445cb9ec2d0780fe568eccf4e146fd279269e2aab6ca56d918807e7
22
00686ff7
12.4
174.3
true
false
1080187f57155d02761bee714d358d67f16815194437ef81998363046ff6fb71
23
bb3297c5
4.5
84.5
false
false
958eb64b9fd4e5a20ab6c5f8647f01544fdf158cd3e02b237db6dd526fde303a
24
cf299423
6.5
101.2
false
false
1cd98e99cb368b4523ecf74522dc65a5478487b1512850097ff653769bb26009
25
d80da891
4.7
81.8
false
false
80d09594d8cb573d660b83a54594f8a5615e367bf7da10757c5e7f8b3c535b13
26
a069bc8f
10.3
164.1
true
false
134fda283d883e22421fecd74dd9ddd932051c0af6f6d882304c2cc494125c90
27
7eb83b9d
11.7
163.7
true
false
25c2e5ac29fe1afc107685b8a27cefcce7751a32dfac27e9875979dfe2415eee
28
0e90f53b
5.4
100.9
false
false
441f99359b439b0ed6859b72e58224738d05f5b001c6fbc6aec0b699c0450de9
29
b417fce9
12.6
134
false
false
f3bae0cad57377fecc765bb216f54059053c9b8530569a35bc4f7b938e6da719
30
b2258a27
7.4
94.5
false
false
f23da10f9edb7cf544e1a08cc1c6d52521036a5da4a7140d1639f2c1a5e99f04
31
c3ded875
12.4
162.3
true
false
012b0fa16252659cb9f6f88babf373d5609636376b8e4bea611000fc1a7db26e
32
b0b80753
3.8
77.3
false
false
bc670b3fab604956f2c06d03c55a2e63c463696c09a0685f955f3bcbcfd970c9
33
4616fa41
13.9
230.3
true
true
cde19bb6fa4373771b4aac8b91abb2f17abc56c72861f5afbcc2d0bf56ddf233
34
140f38bf
4.7
96.8
false
false
f397fce4a4c098aea5eeb56cda06f676fc8e2e7822e3450b69157fc46e67a3d5
35
4aeece4d
8.9
134.8
false
false
0e0611f873cc7c536a1ad40ff75132ca14c164e261b6d2e34140382f9c7cfb18
36
b5942a6b
10.1
127.4
false
false
fae4c55ae88c88b1c2a41711398daa2995c82c69db273187db384a542cf327a0
37
18c50099
9.3
162.7
true
false
2ee8f4271a7bd8c9db143a105d9a4117f0983bcec5a9f300c922fa66aadf2248
38
c9fe2857
6.6
108
false
false
6fefbb341591a1c08848e6e53898e103196c4f12be9d6d30ec547ba259d7f34e
39
28747d25
13.8
131.5
false
false
49f53851fd59006594d9dce811233e0c9551767ec1089e8c262bae0d782afb51
40
593ebe83
4.6
95
false
false
eb2a0d60ddc2228d7d299c5a6172c801dbb21dcfa68428500c435c8a01582cb5
41
4be06ff1
4.5
89.5
false
false
00d37ddcd84c8c6ca92e462000564637ad1f6d776dcc5d6b87be830626e91f93
42
2eadb8ef
4.2
102.9
false
false
7abb4a99860bea9c1b772bef73b8a9d007fd367954db42785452f270bd0dc76f
43
2ac044fd
10.2
128.5
false
false
c346efcf3e5b7cf25882a1efb076cf22597e78bf67fd96ab330ca3dec9b4f751
44
0d75239b
12.6
161.8
true
false
981e07ae1e535cf737ba60803f6f3c2cc39c6cd16426866a99ade0fc664a72a8
45
81aba849
7.4
143.7
true
false
41f6a2e9bd0c12786a0f4399a600dfd5e42ca919c18215a0477f1bc674ca8694
46
353d4a87
5.1
101.6
false
false
a4d73030a2aff47b1a2fcc6f9afeb3c5325aa395c2cb1f6e9722299e037c804a
47
cf6685d5
9.2
157.1
true
false
fe07dd7e19ae80b21c22300c0607d219711ed339d74b96494328c85312c3215c
48
8318b9b3
12.3
162.7
true
false
1351fc5ec5d019e72182fcf4481ee8931df3ca608367e21e1a7358bf64e20f11
49
5c6d09a1
10.1
192.8
true
true
523862e11015ab2b4daf35290795f545e0ab293e1c7f2275e4d54a9fa56b3ee2
50
bab03d1f
12.3
205.4
true
true
d04114d29aa9a2851b470fb0b67874af27b18934e15286bc567f6a95144406f1
51
c8bf9fad
4.3
80.2
false
false
19b5ee5e347672a960f9d1a9c681f2846b1b4a326dc8ac0e5301887562dfee67
52
c3aee0cb
12
161.6
true
false
7842c8284934aaa7747595b76fffc7c46d6061f12dd550fd9d65b6e768ff8deb
53
8beef3f9
9.9
133.9
false
false
3cbfafa6cf9fa8e7db363f06e5d2ee3fae9e8ffab136d031a0ee1f7958357295
54
e76df0b7
3.7
72
false
false
95000dba8a2855a5fa1bf642cab3501da8c0dfa2837547860e42401f4a8c396e
55
1367f285
5.5
112.9
false
false
4d781f7a63b09cfb71b1456952e55ba2933f90e7e2f4a4c34fd39f368670193b
56
5ae0f8e3
4.6
64.5
false
false
90848339fcf94c3b20f09617423530800c02a5efb440943dc901f1694c77a6c8
57
6affc751
6
120.2
false
false
78ec0635ad0db6a041b4f945bf7bd2a6bfb2ed706af75644d4b518986f345ad0
58
a0c1c54f
5.7
95
false
false
9eeebc09d6b90401e3408c91cc64ef62d6c29d876e17eea69249933185e4d860
59
9bbfde5d
10.6
125.4
false
false
6924841e1b25f8ca7610a357d43cc2447190e37c4b2acbe1c4d3001fa793cc28
60
8ffc61fb
10.8
175
true
false
d58c420676bc6424772714b1798442ad89a7187a808089d08595149e8aac5c1f
61
2cf1e3a9
8.6
118.6
false
false
2dbf122788660cc26a28a70dd426ccc67246e12292ee4040b6bd9dc5ea7c836a
62
0a5b1ae7
10.9
159.1
true
false
a1ac11a6f5f38f456672b81a994692491b172fc72e762fade835eb295a4214a5
63
736bc335
12.4
149.9
true
false
81f8199f3d5a9be22d219c0c53636907ed19beb6666950b11be87e4a123b14ba
64
af727c13
12.8
154.1
true
false
3fdbc32c247060b80e0363b0dddae4b656d5c5768a885b059ab1b5b49c64e12a
65
9b1ba901
5.5
82.7
false
false
3d50458be32208b7c20e3964d4281bac14a1002ab1518296d2c02b27c08b7e89
66
17cd517f
6.4
91.8
false
false
4cd5a7a6414c5493c75ae5c28858a2b061babafe53ac597793013cb2a6aaeb05
67
96d4010d
4.4
78.6
false
false
5b1996479798459cb610f5639a93612ab599f3803261cf63db5f6b7bf0929d97
68
6458a72b
8.6
101.9
false
false
bcd7dace0d69d700e1aebce332b0cfc36d74992768d0f422c06b0ed8587bdd71
69
62577759
6.7
84.1
false
false
4682b5319b6a473ce71a3b5d3c853c37c1670fdea48360514228f687d1551f3c
70
2e0fc917
6.7
140.1
false
false
31f458c178c7b38da91999af56465669f9976b6dba358cb2215815e096bb6563
71
42a4f7e5
7.5
112.2
false
false
a6db3211365df620db03deefb5a995d0ed576e48f66c3da2b2100f9ca82128ef
72
21e84343
11.3
153.9
true
false
f2c448871ce8dbb2b6c3dea55a2696f2f78b6b2084818fd833d92c8f98bbb645
73
f083aeb1
5.9
111.6
false
false
b4ddb9713f792c6652b17b645dd54a3b4208af9839b9836d2bc814f3c977d681
74
d4fde1af
5.7
88.6
false
false
bb795293958e3f565b521fabe989e8f3cb62dac8a018183ae54d25172e81e869
75
d94f07bd
4.9
85.8
false
false
04e8966e288150fee33dc8cf52a15f0cc6bf8ccb7262006978fc634c606c35cd
76
9cfeb05b
6
108.4
false
false
32acecb2371c539b86733c3ed3468fbd11d4d6cdfb8190e70e43421c2e980521
77
e202af09
6.8
99.4
false
false
d57e31898dc2a2585620cd95dba0144a6824317549a65eb9302e2a85316caea5
78
78d6fb47
5.5
87
false
false
af5edb6892848dfa4a7130bf14bc337b1424506a860386ee48c614335329ee1e
79
58869095
4.6
106
false
false
4931fbfd32925d3204f7154d06559c61999773b52c682e66252a5d33d053ff4f
80
559d4e73
6
92.4
false
false
e2a65a2f91290f0020d4375dabef6905aa36aa9db05ecd983b1f2155c202adf2
81
ff3ad861
3.6
85.7
false
false
64bb82b291757a26dc536e699ccc8ab80291a22740a072e08bd99725a9a400cd
82
3bbe75df
5.1
73.9
false
false
78d017de0b051b3a936c76976cb41921d061a1273c74fa0b26f91a218fb11fe1
83
5ec3f26d
10
172.3
true
false
871ee7fb5d9f1db6d5e476694c55fd44dfe365bbefdc5e0be3b0de14c03f8dd2
84
30697d8b
4.7
112.6
false
false
09e22369860c2ac57ee44ea27f219f484226f73e9fee109dd1c969e7b61e6e90
85
ca168ab9
13.3
148.2
true
false
3d41f554abdba6d20e786204e715c1e8af649b12efc8d5e8b9ae649afdfab636
86
d73bb177
10
137.4
false
false
01138c794251fd26ffa7a3e4bcccfdfa40fdf6137374ae07c97450983b9cbb00
87
c0c38d45
6.4
109.8
false
false
ecbbf283a522e981d9d11267fb4348d302a4bae0e2b5d0e1722af31d107bedab
88
202c9da3
11.1
184.7
true
true
1af7e8bc1dabc50861fea5ee4ffdd8a984e54f76d07d8905a44be3e4a75ca65e
89
9b842611
7
89.7
false
false
d6f2bc3ce79e29dd2e705fd8538439a29d1b4341060d80a4af941347a8a32307
90
8dba0e0f
9.6
136.3
false
false
7d9c88b53e6bff20e381cef534cd2bde36d369012ea9059063fa81aaf955e482
91
af05c11d
9.9
144.2
true
false
b13b020732a80cf7136f49ea36532e7c2eeb36262047cfc9fc7a1fd466f2857d
92
df540ebb
10.3
181.8
true
true
e4045802e9c08757c2d72d032a242e3962cc86d54180014cb2dfb4eb85593e41
93
50f60a69
13.4
233.2
true
true
96eb5a8c4bfc3b4c45a7c6b28766f8f60ec36fb9da687e98ae62d3c1d9edd941
94
2c08eba7
4.7
93
false
false
dd66fb834549e16a9605da9b62599caf2438dd0ac36c1bfd25b0632298fd56b6
95
6b4eedf5
3.8
60.8
false
false
32d4e3f50e7075d650f78b05418ada366168cc80f037bf4429c3462264340cc6
96
b97130d3
6.6
107.8
false
false
e5ebafa1a14c525ad1bc310c58c0e8d401113a538b275f159d24fd076f5826b0
97
89e297c1
3.8
81
false
false
715c0ac07c2b9425dc1758bc945efc493bd5ea42c814f38e2977acd61de2991e
98
1adbaa3f
12.2
165.1
true
false
d03c7e7acdf2e9aa9d8e467c24bb40d5975fe71042699ad56aa2c8d9e0382e20
99
8e2773cd
4.8
92.9
false
false
36b4302843f6d77b2cf55ab0ba38e68230ef085f23c10164220b41b1d3520e3c
End of preview. Expand in Data Studio

Ground-vehicle failure boundaries (n=2500)

First-principles Monte Carlo at the clocks where chassis assumptions die: Pacejka hydroplane, brake fade, tire hysteresis.

Named triad: Hydroplane · Fade · Tire.

Each config is 2,500 trajectories. Unique SHA-256 proof_hash per row. Dual-regime flags (warn / hard) are booleans. One row = one trajectory.

Custom OEM mass, wheelbase, μ gates, rotor C, and belt C recompile the same binaries: 48-Hour Forge.

Hydroplane

Pacejka + freshwater ρ = 997. 1 kHz, 5 s. μ gate 0.25. Corner lost: |y| < 10 m on a ~500 m arc.

Config Warn / hard
hydroplane μ < 0.25 51.0% / corner lost 38.6% · grip 49.0% (nested)

Fade

Grade descent. 2 Hz, 90 s. Rotor 380 °C · wet DOT-4 180 °C.

Config Warn / hard
brake_fade rotor 25.9% / fluid boil 8.4% · held 74.1%

Tire

Class-8 casing hysteresis. 2 h exact lumped. Belt 95 °C · blowout 150 °C.

Config Warn / hard
tire_hysteresis belt 59.4% / blowout 11.2% · held 40.6%

Load

from datasets import load_dataset

hp = load_dataset("spiderpilot89/vehicle-failure-boundaries-n2500", "hydroplane", split="train")
print(len(hp), hp[0]["is_hydroplane"], hp[0]["is_corner_lost"])

Engine

License

MIT.

@dataset{kruze_vehicle_failure_boundaries_n2500_2026,
  author = {Kruze, John},
  title = {Ground-vehicle failure boundaries (n=2500 dual-regime)},
  year = {2026},
  url = {https://huggingface.co/datasets/spiderpilot89/vehicle-failure-boundaries-n2500}
}
Downloads last month
24

Collection including spiderpilot89/vehicle-failure-boundaries-n2500