Why the format is different?

[liubamboo]

I download a DBoW3 vocubulary yml file. It like this:
vocabulary:
k: 10
L: 5
scoringType: 0
weightingType: 0
nodes:
- { nodeId:1, parentId:0, weight:0.,
descriptor:"dbw3 5 256 0.0282166 -0.0464277 -0.00155563 0.0195318 0.0127344 0.0175524 0.0249182 0.0505561 0.00974953 0.0191589 -0.126822 -0.0269695 0.0156602 -0.00148103 0.0266696 -0.0278376 0.0183598 0.0225065 0.0102972 0.0135393 -0.0298388 -0.015842 0.0644389 0.0026523 0.019828 -0.00464698 -0.0318678 0.00451956 0.0167672 0.00993656 0.0064205 0.0114803 0.0052258 -0.0204265 -0.00298808 0.0393944 -0.0195278 -0.013887 -0.0227335 -0.0162304 -0.0071446 -0.00422807 0.0428517 -0.0317671 0.0283621 0.0111701 -0.00566452 -0.0400856 -0.0196577 0.0216044 0.0196101 -0.0285099 -0.0151599 0.0212448 -0.0288515 -0.0600829 -0.00861907 0.0214418 0.0375813 0.0166094 -0.00850956 0.010408 -0.0336234 0.0310988 0.0168146 0.0161289 0.0427318 -0.0044199 -0.0122952 -0.0365116 -0.0145487 -0.0397346 -0.0221509 -0.00777042 -0.0464547 -0.00426373 -0.00957853 0.00308297 0.0132791 -0.0196195 -0.0377574 -0.029988 0.0265767 0.0262487 0.0140505 0.00488274 0.00680912 0.0107932 -0.070846 -0.0113015 0.0128653 -0.0112844 0.0181235 -0.00195907 0.0191648 0.0254948 -0.0359513 -0.0123985 -0.0175331 0.0196461 0.000914373 -0.0114064 -0.00685857 -0.00109303 -0.0183508 -0.0132181 0.0116307 -0.0248163 0.0327876 -0.0247617 -0.0454079 0.0262968 -0.0764144 0.0390536 0.0297468 -0.0273197 0.0202212 -0.00681736 0.0196127 0.00834888 -0.0134622 0.012962 0.0112936 0.0178503 0.0262749 -0.0485005 -0.0285796 -0.000385143 0.0147169 -0.0462185 0.00297543 0.0275997 0.0373025 0.0245792 -0.00278855 0.0522282 -0.0288043 0.00905006 -0.00756075 -0.013557 -0.014353 0.000465126 -0.0129177 -0.0350644 0.0297775 0.0208471 0.0449397 -0.0053479 0.00241352 -0.00604664 0.006685 0.0144987 0.0226759 0.00105402 -0.020786 0.0129925 0.0320702 0.0445253 -0.0233705 0.027613 -0.00479526 -0.0295112 -0.0437024 0.0131428 0.0180217 0.0324005 0.00466164 -0.0128045 0.00932035 0.043001 -0.00728973 -0.0377903 0.0018688 0.00254708 -0.0367907 -0.0331428 -0.0475313 -0.0203362 -0.00430156 0.00493915 -0.0095337 0.0088231 -0.0356051 0.0450481 -0.034091 0.00540604 0.00357041 -0.0229231 -0.0263163 0.00353934 0.0208586 -0.0530529 0.0175665 -0.0260063 -0.013499 0.0175644 0.00625461 0.0114385 0.00166789 0.03291 -0.0270635 -0.00973511 -0.0434037 0.0292823 0.00742841 0.000494358 -0.0306714 -0.0159139 -0.0414082 -0.0288355 -0.0115343 -0.00388788 -0.0139166 0.021995 0.00987418 -0.00274973 -0.0514535 0.0107591 -0.00696206 -0.0293223 0.00747669 -0.0166595 -0.00588887 0.00667826 0.0119736 -0.00979452 -0.00674867 1.18017e-06 0.0537927 -0.0359476 -0.0194478 -0.0138035 0.0166307 0.024314 0.00792531 0.015141 -0.0113583 -0.00644338 0.0120866 -0.046237 0.00113854 0.0419657 -0.0702566 -0.0104919 0.0462897 -0.00122678 -0.0525829 -0.000213172 -0.0186052 -0.0135538 -0.0245714 -0.0288605 0.00682914 -0.0338058 0.018147 0.0170514 " }
- { nodeId:2, parentId:0, weight:0.,
...

And I use same data to generate the vocubulary yml file. And my output is like:
vocabulary:
k: 10
L: 5
scoringType: 0
weightingType: 0
nodes:
- { nodeId:1, parentId:0, weight:3.1172121710917007e+00,
descriptor:"0.0354999 0.125961 -0.0899333 0.00940716 -0.0404284 -0.0681934 -0.000698927 -0.129488 0.0596507 -0.0352885 -0.100353 -0.00107607 0.0115445 0.0383281 -0.00665728 0.0467515 -0.198072 0.0997283 0.00653879 0.0282129 0.156231 -0.142805 0.0929327 -0.137059 0.0668409 0.150995 -0.0693844 -0.0766955 -0.041515 -0.153341 -0.0530757 0.0540285 -0.084946 0.0180105 0.121748 -0.0676764 0.230421 0.0762116 0.0669327 -0.0890834 0.126961 -0.188613 0.157426 0.0674022 0.0543198 0.00510156 -0.0718658 -0.0548448 0.0952988 0.0044786 -0.153464 0.0371513 0.109263 0.0892266 -0.0309564 0.0759547 -0.0795075 0.0361993 -0.0254162 0.0726163 -0.0482989 -0.113146 -0.0129798 -0.021902 -0.0136797 0.0957096 -0.201533 -0.0887019 0.151989 -0.171577 0.0205965 -0.0746266 -0.0182118 0.0777944 0.186204 -0.018468 0.194916 -0.0438617 0.0290822 0.0368869 -0.048466 0.0319289 -0.0238049 0.0643619 0.0388753 0.060765 0.118967 -0.128794 0.0865447 0.00288163 -0.0940577 0.0105423 0.0632482 0.0407168 -0.0778853 0.0066329 0.0849079 -0.167564 0.0577636 -0.0248432 -0.0139746 0.110944 0.0570377 -0.0205937 -0.0931026 -0.00960186 0.00720341 -0.0533386 0.121489 0.116467 -0.0546351 0.115026 0.215079 -0.223696 -0.268556 -0.22581 0.131816 -0.0447868 -0.00238234 -0.0351309 0.0907687 0.0915385 -0.0322984 0.0394833 -0.0734853 -0.0545587 -0.0266285 0.137623 0.0620815 -0.0788311 0.0871121 -0.194911 -0.123108 -0.126513 0.140195 -0.0601778 -0.0877871 -0.15231 0.00645607 0.0714905 0.159278 -0.110403 0.151996 -0.0206717 -0.0113557 0.028608 -0.186627 0.176118 -0.068964 0.0219737 -0.0434809 0.134475 0.0660336 0.197536 -0.0774245 -0.169559 0.0735524 -0.117962 0.0240644 0.00481006 -0.212233 -0.125976 -0.038999 -0.141939 -0.0296288 -0.022527 -0.0990938 0.0819112 0.0307572 -0.101368 0.155772 -0.106299 0.0846459 -0.115195 -0.0944857 -0.0163783 0.00181647 0.0297214 -0.0214813 0.15572 0.148555 -0.0451894 -0.0243046 -0.0647202 0.090212 0.0562619 0.103249 -0.0505745 -0.00872183 0.0909672 -0.076492 0.130413 0.0233149 0.100497 -0.0491502 -0.031341 -0.0269015 -0.144976 -0.0639115 -0.0625203 -0.0354729 0.181546 0.109445 0.00274729 0.0505961 -0.149337 -0.0849629 -0.0537802 0.064498 -0.111422 0.0521305 -0.153909 0.0649416 0.0308576 0.106565 -0.143596 -0.175881 -0.103822 0.0445059 0.0837604 -0.123117 -0.0301544 0.0444908 0.0924708 0.150015 0.0405757 -0.00521247 0.107609 0.0918586 -0.0847282 -0.025882 0.139215 -0.0492126 0.0832153 -0.0281849 -0.0227442 0.159082 0.0228036 0.124301 -0.0736366 -0.0804549 0.0800293 0.0624154 -0.0583405 -0.0609488 -0.0556457 0.0762758 0.0391196 0.103908 -0.0837154 0.224688 -0.0982641 -0.0789496 -0.129398 0.024566 -0.0360153 " }

why the descriptor of the first yml file has
dbw3 5 256
And my yml file doesn't.
Can I generate the yml like the first yml file?
Could you help me?