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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'fuselage' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 673, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'fuselage' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1908, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 688, in finalize
self._build_writer(self.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'fuselage' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
segments int64 | engines int64 | pax int64 | location dict | engine dict | wing dict | wing_segments dict | v_stabilizer dict | h_stabilizer dict | TOW float64 | mission dict | flaps dict | util float64 | results dict | requirement_checks dict | fuselage dict | cabin dict | ZFW float64 | pax_weight int64 | endOfCruiseW float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 132 | {
"tail": "T",
"h_stabilizer": 30.58872998540725,
"v_stabilizer": 28.935473496514646,
"wing": [
14.06124698901098,
0,
-1.23696179168314
],
"gear": [
3.298130681027695,
15.309842999558803
],
"engine": [
[
13.561808584791851,
16.243350032985656,
-1.736400195902269... | {
"eff_comb": 0.9347873798410574,
"eff_mech_turb": [
0.9912044659960073,
0.9893377899507498
],
"burn_temp": 1631.5905484086513,
"design_thrust": 103800.35367010235,
"bypass": 6.848642791702302,
"nacelle": [
2.71,
2.05
]
} | {
"twist": [
3.9483905741032213,
-3.7735410422694913
],
"root_chord": 6.910598501938372,
"dihedral": 4,
"LEsweep": 21.440435711608778,
"b": 16.243350032985656,
"tip_chord": 3.078169582444211,
"area": 162.2510563929419,
"AR": 6.504645976667373,
"sweep": 15.009414451731342,
"taper": 0.445427... | {
"taper": [
0.44542735069629746
],
"tc": [
0.11761037725146993
],
"b": [
16.243350032985656
],
"twist": [
-7.7219316163727125
],
"chord": [
3.078169582444211
],
"area": [
81.12552819647095
],
"SMC": [
4.9943840421912915
],
"AR": [
3.2523229883336864
],
... | {
"taper": 0.4166837163687134,
"sweep": 39.94079073157606,
"tc": 0.078974208681171,
"b": 6.234800776238176,
"AR": 1.631672340855862,
"area": 23.82386447697595,
"root_chord": 5.3944444183497335,
"tip_chord": 2.2477771479824296,
"MAC": 4.037049626438697
} | {
"taper": 0.17235050920829606,
"sweep": 36.53618595440361,
"tc": 0.08432218099429752,
"b": 12.886752469390338,
"AR": 8.269754623987607,
"area": 20.08141677210504,
"root_chord": 2.658418694299661,
"tip_chord": 0.45817981565140015,
"MAC": 1.817184655605857
} | 50,547.611905 | {
"mach": 0.770915170346029,
"altitude": 9812.816149974167,
"temp": 224.46789791559786,
"pres": 27200.24849185648,
"a": 300.39323388197397,
"range": 5816248.983606977
} | {
"TO_angle": 28.065558428716916,
"chord_frac": 12.938717539800571,
"landing_angle": 40.37545328011075
} | 0.3 | {
"margin_min": 1.4135153190293823,
"owe": 33977.948484393695,
"Reserves": -4176.862902162065,
"block_speed": 229.25806459957977,
"block_time": 25369.877364033364,
"mission_range": 5816248.983606977,
"fuel": [
151.04490380005154,
380.5850101078904,
2365.037948068639,
16267.559457915995,
... | {
"req_BFL": 531.2347745980372,
"TW_SCC": 0.05593379393058044,
"TW_MA": 0.32209741525067426
} | {} | {
"length": {
"total": 32.98130681027695,
"cabin": 17.52091999999999,
"nose": 7.093882963740495,
"tail": 8.366503846536462
},
"diameter": {
"width": 3.7042720000000005,
"height": 4.172007389673451,
"max": 4.172007389673451,
"wall": 0.04,
"seat_offset": 0.04
},
"seat": {
... | 27,997.039815 | 14,520 | 29,899.075222 |
3 | 3 | 150 | {
"tail": "conventional",
"h_stabilizer": 30.74546253461301,
"v_stabilizer": 30.895336614388924,
"wing": [
12.1056634943334,
0,
-0.9999814801533589
],
"gear": [
3.4944652290939775,
12.787838169341208
],
"engine": [
[
11.832793624330277,
4.257401434961365,
-1.272... | {
"eff_comb": 0.9287816251960218,
"eff_mech_turb": [
0.9782604392533693,
0.9807817448455198
],
"burn_temp": 1786.1203476509404,
"design_thrust": 104809.51939513764,
"bypass": 6.612673182592047,
"nacelle": [
2.71,
2.05
]
} | {
"twist": [
3.8488486247123324,
-3.433728904648997
],
"root_chord": 5.451447034932907,
"dihedral": 4,
"LEsweep": 5.799820628210249,
"b": 14.1852635406896,
"tip_chord": 1.372263154073607,
"area": 77.41462036616034,
"AR": 10.397090408352692,
"sweep": -2.3624613465693214,
"taper": 0.25172456... | {
"taper": [
0.5057639399160921,
0.7910872917885178,
0.6291487468609861
],
"tc": [
0.10561925698388813,
0.09747204639950073,
0.1177749035583191
],
"b": [
4.257401434961365,
5.191506479857354,
4.736355625870883
],
"twist": [
-2.5644837496432102,
-2.41486581040518... | {
"taper": 0.3985908885830673,
"sweep": 29.283318705304175,
"tc": 0.08033258611191585,
"b": 6.226853923304836,
"AR": 1.6492542325055228,
"area": 23.509844036157105,
"root_chord": 5.399087568734461,
"tip_chord": 2.1520271115596614,
"MAC": 4.008269155089716
} | {
"taper": 0.2818629417006431,
"sweep": 23.27539552224049,
"tc": 0.0782022341922973,
"b": 12.780280576933318,
"AR": 4.273717397668323,
"area": 38.218617757517734,
"root_chord": 4.665766395918622,
"tip_chord": 1.3151066416416302,
"MAC": 3.3032927611833607
} | 70,129.113707 | {
"mach": 0.7619643812758348,
"altitude": 8369.801653033956,
"temp": 233.83260984935407,
"pres": 33733.60127438544,
"a": 306.5953508444646,
"range": 6111152.1053375
} | {
"TO_angle": 25.925564511051547,
"chord_frac": 8.185403271233515,
"landing_angle": 38.029455302643825
} | 0.3 | {
"margin_min": null,
"owe": 32323.645743507026,
"Reserves": 8326.819723338616,
"block_speed": 231.2505118435912,
"block_time": 26426.545206831128,
"mission_range": 6111152.1053375,
"fuel": [
227.7133553086751,
639.9682487738319,
2521.9238762612513,
24633.121550911994,
959.423665532631... | {
"req_BFL": 2576.230375866467,
"TW_SCC": 0.09995829864413673,
"TW_MA": 0.24245173429777173
} | {} | {
"length": {
"total": 34.94465229093977,
"cabin": 19.883119999999998,
"nose": 6.695028444403314,
"tail": 8.366503846536462
},
"diameter": {
"width": 3.7042720000000005,
"height": 4.172007389673451,
"max": 4.172007389673451,
"wall": 0.04,
"seat_offset": 0.04
},
"seat": {
... | 38,087.10475 | 16,500 | 40,783.770333 |
1 | 2 | 132 | {
"tail": "T",
"h_stabilizer": 28.1307719215137,
"v_stabilizer": 27.505159397035964,
"wing": [
10.43300807623682,
0,
-1.0635403099186347
],
"gear": [
3.1461304311610347,
11.43762257316824
],
"engine": [
[
10.031162277464253,
15.537626580840051,
-1.46538610869120... | {
"eff_comb": 0.9251463665842244,
"eff_mech_turb": [
0.9719676677062609,
0.9808099475759191
],
"burn_temp": 1737.4526822214475,
"design_thrust": 103322.35443946242,
"bypass": 8.043629588801167,
"nacelle": [
2.71,
2.05
]
} | {
"twist": [
3.6195263523243413,
-3.07535191766781
],
"root_chord": 6.414568682410905,
"dihedral": 4,
"LEsweep": 12.100363645196229,
"b": 15.537626580840051,
"tip_chord": 1.6223472930404463,
"area": 124.87459928815096,
"AR": 7.73312879134211,
"sweep": 3.439462626188155,
"taper": 0.25291603... | {
"taper": [
0.2529160374397441
],
"tc": [
0.09966946286427725
],
"b": [
15.537626580840051
],
"twist": [
-6.694878269992151
],
"chord": [
1.6223472930404463
],
"area": [
62.43729964407548
],
"SMC": [
4.018457987725675
],
"AR": [
3.866564395671055
],
"MA... | {
"taper": 0.47153009489861075,
"sweep": 7.746142784441869,
"tc": 0.08179624794321065,
"b": 6.661451215552267,
"AR": 1.716401047017519,
"area": 25.853475430051898,
"root_chord": 5.2748598860991756,
"tip_chord": 2.4872551826692195,
"MAC": 4.047909393569054
} | {
"taper": 0.3605681753630098,
"sweep": 8.30576807157479,
"tc": 0.07832489480375297,
"b": 11.424542697692006,
"AR": 4.538134469458167,
"area": 28.760755488801383,
"root_chord": 3.700591544551828,
"tip_chord": 1.3343155409828347,
"MAC": 2.702801621356281
} | 61,146.774975 | {
"mach": 0.7306414359673429,
"altitude": 10060.883200399334,
"temp": 222.85802048719077,
"pres": 26188.355506492808,
"a": 299.31408960463364,
"range": 7606682.877032106
} | {
"TO_angle": 25.89743776421551,
"chord_frac": 5.436872653998681,
"landing_angle": 36.31981874794677
} | 0.3 | {
"margin_min": 1.3839267744441819,
"owe": 31660.52017238098,
"Reserves": 4035.6024729219644,
"block_speed": 218.40419590005033,
"block_time": 34828.46492799616,
"mission_range": 7606682.877032106,
"fuel": [
174.98790630830626,
440.97787903052813,
2494.3080624854774,
20923.740443964394,
... | {
"req_BFL": 2059.006962649305,
"TW_SCC": 0.11629964362477249,
"TW_MA": 0.3279270789189316
} | {} | {
"length": {
"total": 31.461304311610345,
"cabin": 17.520919999999997,
"nose": 5.573880465073883,
"tail": 8.366503846536462
},
"diameter": {
"width": 3.7042720000000005,
"height": 4.172007389673451,
"max": 4.172007389673451,
"wall": 0.04,
"seat_offset": 0.04
},
"seat": {
... | 33,483.022443 | 14,520 | 35,813.313224 |
3 | 3 | 144 | {
"tail": "conventional",
"h_stabilizer": 30.356344682565215,
"v_stabilizer": 29.453801279733486,
"wing": [
12.444785555720326,
0,
-1.075181987750726
],
"gear": [
3.4117496146036217,
13.379760652214483
],
"engine": [
[
12.070795517122663,
4.495255701708259,
-1.4... | {
"eff_comb": 0.9204258767227833,
"eff_mech_turb": [
0.9751748918727865,
0.9743143126121746
],
"burn_temp": 1702.9302937070474,
"design_thrust": 103390.15847403489,
"bypass": 5.618512812082959,
"nacelle": [
2.71,
2.05
]
} | {
"twist": [
3.534931082483587,
-3.6946798872250053
],
"root_chord": 7.109788908094521,
"dihedral": 4,
"LEsweep": 8.096552854037844,
"b": 16.160250351216778,
"tip_chord": 1.929427172563131,
"area": 120.87545305198891,
"AR": 8.642075287252208,
"sweep": -1.0017985792096271,
"taper": 0.271376... | {
"taper": [
0.5882567662467039,
0.6823012461250177,
0.6761274812805272
],
"tc": [
0.09156084678869433,
0.11780594147613005,
0.1093774249821662
],
"b": [
4.495255701708259,
6.355992147338724,
5.309002502169795
],
"twist": [
-2.2677964147892724,
-2.52164102090956... | {
"taper": 0.4160162803290389,
"sweep": 19.120345132097697,
"tc": 0.08018578465483191,
"b": 7.093519805302229,
"AR": 1.6112193547904319,
"area": 31.22977829096383,
"root_chord": 6.218259821736975,
"tip_chord": 2.586897321158529,
"MAC": 4.652182173000114
} | {
"taper": 0.3039018334977984,
"sweep": 18.668008910418948,
"tc": 0.0844022678433959,
"b": 14.125304718715974,
"AR": 5.18447293323115,
"area": 38.48495998844555,
"root_chord": 4.179057181634446,
"tip_chord": 1.2700231397908504,
"MAC": 2.9833752471684662
} | 67,225.479728 | {
"mach": 0.7610091421163101,
"altitude": 9290.675123546454,
"temp": 227.85642957044925,
"pres": 29433.71057746455,
"a": 302.65208521885415,
"range": 5679967.811372829
} | {
"TO_angle": 23.713497864494464,
"chord_frac": 11.570510666032455,
"landing_angle": 34.275679169954884
} | 0.3 | {
"margin_min": null,
"owe": 33379.44148927226,
"Reserves": 5673.2564520374,
"block_speed": 228.19526085785202,
"block_time": 24890.82284189508,
"mission_range": 5679967.811372829,
"fuel": [
224.84245891675528,
597.8393433128949,
3034.607876336544,
22477.60323720365,
1253.7305457713155... | {
"req_BFL": 1503.546964376356,
"TW_SCC": 0.0733589988995414,
"TW_MA": 0.27232945042575796
} | {} | {
"length": {
"total": 34.11749614603622,
"cabin": 19.09572,
"nose": 6.6552722994997575,
"tail": 8.366503846536462
},
"diameter": {
"width": 3.7042720000000005,
"height": 4.172007389673451,
"max": 4.172007389673451,
"wall": 0.04,
"seat_offset": 0.04
},
"seat": {
"pitch"... | 36,602.890829 | 15,840 | 39,180.808059 |
1 | 3 | 186 | {
"tail": "T",
"h_stabilizer": 39.79290623783404,
"v_stabilizer": 39.44034145128157,
"wing": [
17.83841499921663,
0,
-1.1640584945006616
],
"gear": [
4.334822630751705,
19.178005939098924
],
"engine": [
[
17.302578623263713,
17.38644224949848,
-1.699894870453579... | {
"eff_comb": 0.9348912255528347,
"eff_mech_turb": [
0.978033023076993,
0.9815520593459168
],
"burn_temp": 1679.9854998415296,
"design_thrust": 105832.58643916588,
"bypass": 7.397684387072417,
"nacelle": [
2.71,
2.05
]
} | {
"twist": [
3.7871385969206925,
-4.327017815634285
],
"root_chord": 7.092320751341422,
"dihedral": 4,
"LEsweep": 16.88243413231215,
"b": 17.38644224949848,
"tip_chord": 3.624406767716932,
"area": 186.32576411371917,
"AR": 6.489459480453852,
"sweep": 11.365364617976658,
"taper": 0.51103255... | {
"taper": [
0.511032551232461
],
"tc": [
0.10431772978175052
],
"b": [
17.38644224949848
],
"twist": [
-8.114156412554978
],
"chord": [
3.624406767716932
],
"area": [
93.16288205685959
],
"SMC": [
5.358363759529176
],
"AR": [
3.244729740226926
],
"MAC":... | {
"taper": 0.4131277830706446,
"sweep": 36.50652886053691,
"tc": 0.08138864199072365,
"b": 6.282608789167971,
"AR": 1.706507033554023,
"area": 23.129803992384833,
"root_chord": 5.210513141647301,
"tip_chord": 2.152607742869209,
"MAC": 3.8932185506096424
} | {
"taper": 0.3457730774725739,
"sweep": 38.989578632516015,
"tc": 0.07872834390364097,
"b": 14.221096805590484,
"AR": 5.350015712969799,
"area": 37.80168231351091,
"root_chord": 3.9503556329811174,
"tip_chord": 1.3659266243269987,
"MAC": 2.8675378767791577
} | 75,271.815256 | {
"mach": 0.7934523563266946,
"altitude": 9840.009822135286,
"temp": 224.29141950408513,
"pres": 27087.80192345945,
"a": 300.2751249115421,
"range": 6763105.814046911
} | {
"TO_angle": 24.442767907230397,
"chord_frac": 11.243114953136757,
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... | 48,318.50994 | 14,520 | 51,848.507328 |
3 | 3 | 120 | {
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[
11.836754268320027,
4.959888956159227,
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2.71,
2.05
]
} | {
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} | {
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} | 61,497.070396 | {
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"altitude": 8318.355496610948,
"temp": 234.16647928449973,
"pres": 33988.04034155856,
"a": 306.81415331168944,
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} | {
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536.6647197198909,
2480.513632139009,
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1088.54384163... | {
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... | 33,663.298859 | 13,200 | 36,007.822128 |
1 | 2 | 156 | {
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"v_stabilizer": 35.213295904398834,
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7.175852108722578,
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16.19962106230048,
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],
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3.1155473014641593
],
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"MAC... | {
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} | {
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"root_chord": 4.724355568190612,
"tip_chord": 1.8452017069116617,
"MAC": 3.495080149251011
} | 56,706.14895 | {
"mach": 0.7844547528785321,
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"temp": 220.0066850675833,
"pres": 24471.026875913918,
"a": 297.3931529090212,
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} | {
"TO_angle": 23.36484419899668,
"chord_frac": 7.188374167728693,
"landing_angle": 34.76788718856424
} | 0.3 | {
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"mission_range": 5902210.063598468,
"fuel": [
179.66172082209232,
457.7597327431358,
2860.3995786504383,
18265.111482753025,
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"length": {
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... | 31,192.189176 | 17,160 | 33,342.47862 |
End of preview.
Narrow-Body Aircraft Conceptual Design Dataset
Dataset Summary
This dataset contains 10,000 conceptual narrow-body commercial aircraft designs, generated using physics-based aircraft sizing and mission analysis. Each aircraft is represented as a JSON-based configuration tree together with rendered wing geometry images, enabling both structured learning and visual inspection.
The dataset was created to support research in:
- Generative design for aerospace engineering
- Machine learning–based aircraft configuration generation
- Inverse design and requirement-driven synthesis
- Comparison of generative models (VAEs, normalizing flows, diffusion models)
The aircraft are representative of six-abreast, single-aisle airliners, comparable in scale to the Airbus A320 and Boeing 737 families.
Associated Publication
A comparison of methodologies for generating design-requirement-driven conceptual aircraft designs Aurelien Ghiglino, Juan J. Alonso, Adam Cobb
If you use this dataset, please cite the above paper.
Aircraft Scope
All aircraft in the dataset share the following assumptions:
- Aircraft class: Narrow-body commercial turbofan
- Cabin layout: 6 seats abreast
- Passenger capacity: 102–198 passengers (in increments of 6)
- Mission: Maximum-range mission at MTOW with reserves
- Design fidelity: Conceptual design level
The dataset is intended for design space exploration and generative modeling, not for certification or detailed engineering analysis.
Dataset Size
Number of aircraft: 10,000
Features per aircraft: 82 total
48 continuous design parameters
2 discrete design parameters
32 performance and analysis outputs
Data Format and Structure
The dataset is organized as a tree of aircraft folders, with one folder per aircraft configuration.
The top level also contains a dataset.csv file, which has preprocessed the dataset into a CSV table for downstream tasks.
dataset_root/
│
├── plane0/
│ ├── geometry.json
│ ├── wing.png
│ ├── (cad_file.stl - CAD if present)
│
├── plane1/
│ ├── geometry.json
│ ├── wing.png
│
├── ...
Folder Description
Each plane###/ directory contains:
aircraft.json
A hierarchical JSON description of the aircraft configuration and performance, including:
- Mission parameters
- Wing geometry (global parameters)
- Fuselage and cabin sizing
- Empennage geometry
- Engine parameters
- Performance and regulatory metrics
The JSON structure mirrors the conceptual aircraft model used during generation and analysis.
*.png
Pre-generated visualization asset:
- Wing planform view
These images are provided for:
- Qualitative inspection
- Vision-based or multimodal ML experiments
- Dataset visualization and debugging
Feature Overview
Design Inputs (Examples)
- Number of passengers (discrete)
- Maximum takeoff weight (MTOW)
- Cruise Mach number
- Cruise altitude
- Wing area, span, sweep, taper, twist
- Horizontal and vertical stabilizer geometry
- Turbofan bypass ratio and design thrust
- Engine efficiency parameters
Performance Outputs (Examples)
- Mission range
- Cruise lift and drag coefficients
- Lift-to-drag ratios
- Takeoff field length
- Missed approach and second-segment climb margins
- Environmental impact metrics
Dataset Generation
Aircraft were generated and evaluated using the SUAVE conceptual aircraft design framework. The process included:
- Sampling design parameters from physically motivated distributions
- Cabin and fuselage sizing using FAR 25–based constraints
- Wing placement for static stability (≈10% static margin)
- Geometric and structural feasibility checks
- Mission and performance analysis using physics-based models
- Rejection of infeasible or non-compliant designs
To ensure compatibility with fixed-dimension ML models:
- Wing segment-level parameters are omitted from the dataset
- Only global wing parameters are stored
- Segment geometry may be resampled from known priors at inference time
Intended Uses
This dataset is suitable for:
- Training generative models for aircraft design
- Studying design space coverage and diversity
- Inverse design and conditioning on requirements
- Physics-aware machine learning research
- Benchmarking generative architectures on structured engineering data
Limitations
- Conceptual-level analysis only
- Simplified aerodynamics and structures
- Conventional tube-and-wing assumptions
- No certification or detailed structural validation
Users should treat generated aircraft as plausible concepts, not finalized designs.
License
Please refer to the repository license file. Use is permitted for research and academic purposes unless otherwise specified.
Citation
@inproceedings{ghiglino2026comparison,
title={A Comparison of Methodologies for Generating Design-Requirement-Driven Conceptual Aircraft Designs},
author={Ghiglino, Aurelien and Alonso, Juan and Cobb, Adam D},
booktitle={AIAA SCITECH 2026 Forum},
pages={2652},
year={2026}
}
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