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Nous voila a la mer .
1
[]
[ "7184", "5382", "2925" ]
we here sea
out_intermediate.json:train:0
{ "do_rag": true, "do_eval": false }
Sans lui charger l'esprit de la theorie des grappes futures, elle lui fit comprendre qu'un tout petit enfant ne doit toucher a rien sans avoir demande conseil a son papa ou a sa maman .
5
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without he load essence grapes future she understand that small baby obligation no touch nothing without past ask advise dad neither mum
out_intermediate.json:train:1
{ "do_rag": true, "do_eval": false }
Qui plante un arbre fait une bonne action
5
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anyone plant tree make good activity
out_intermediate.json:train:2
{ "do_rag": true, "do_eval": false }
Un matin, tandis que notre tailleur était assis, les deux jambes croisées sur la table, et regardait par la fenêtre, sa femme lui apporta son café .
5
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morning during our tailor past sit 2 leg cross leg cross table and past look_out_the_window wife past bring coffee
out_intermediate.json:train:3
{ "do_rag": true, "do_eval": false }
Cependant, comme la malheureuse mère ne mettait point de terme à ses pleurs, l'enfant vint une nuit dans le blanc linceul où il avait été enseveli et avec sa couronne de mort sur la tête
5
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although mother sad cry boy past come night white white_clothes dead with his crown above head
out_intermediate.json:train:4
{ "do_rag": true, "do_eval": false }
mais c'est à condition que nous ne dérangerons point l'heure de votre dîner, et que vous nous permettrez d'accepter seulement quelques fruits, lorsqu'on vous servira le dessert .
5
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but this if we no future bug your hour eat_dinner and you future allow future take some fruits when you future serve dessert point_sign
out_intermediate.json:train:5
{ "do_rag": true, "do_eval": false }
Chacun avait la prétention d'être invité
3
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everybody past have claim be invite
out_intermediate.json:train:6
{ "do_rag": true, "do_eval": false }
Celui-ci redouble de mugissements et de rage
3
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that_one double of howl and of angry
out_intermediate.json:train:7
{ "do_rag": true, "do_eval": false }
Elle ne revint qu'à une heure du matin, et réitéra pendant la course les plaisanteries les plus folles, auxquelles la baron ne répondit que par ces mots
5
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she past return one_o'clock morning and past again during running_race joke crazy king past answer those word
out_intermediate.json:train:8
{ "do_rag": true, "do_eval": false }
l'air qu'elle chantait semblait ne plus aller à sa voix, qui, chaque jour, perdait de son éclat et de sa fraîcheur .
5
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[ "10289", "4703", "9839", "35626", "39430", "7195", "8142", "27073", "37371", "24760", "6015", "11316" ]
atmosphere woman past sing show stop go sound day lose light new
out_intermediate.json:train:9
{ "do_rag": true, "do_eval": false }
Le farouche troupeau resta au pied, hurlant, menaçant, essayant de fouir pour abattre l'arbre .
2
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aggression herd past remain foot shout threaten try dig for cut_down tree
out_intermediate.json:train:10
{ "do_rag": true, "do_eval": false }
Il se coucha et s'étonna d'abord de se trouver si bien
3
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he past lie_down and past surprised first find very well
out_intermediate.json:train:11
{ "do_rag": true, "do_eval": false }
Il ne se repentit plus d'avoir soustrait à ces mauvaises gens le trésor de la vieille .
5
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he past no sorry plus_sign subtract to those bad people treasure elderly lady
out_intermediate.json:train:12
{ "do_rag": true, "do_eval": false }
Nous ne critiquerons pas, nous écouterons bien sagement .
3
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we no future criticise we future hear well well
out_intermediate.json:train:13
{ "do_rag": true, "do_eval": false }
On s'arrêta sur une grande place palissadée en arène pour me faire assister aux jeux et aux danses .
5
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we past stop at_the large square fence bullring for I help games and dance
out_intermediate.json:train:14
{ "do_rag": true, "do_eval": false }
Est-ce qu'ils sont tous morts ?
3
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they all dead question
out_intermediate.json:train:15
{ "do_rag": true, "do_eval": false }
Est-ce vous, mon petit ami ?
3
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be you my small boyfriend question
out_intermediate.json:train:16
{ "do_rag": true, "do_eval": false }
L'eau, rencontrant quatre murailles au lieu d'une, s'y laissa choir, et, bondissant de tous côtés en ruisselets entrecoupés, il se mit à babiller comme un fou, jetant ses paroles si vite, que c'était un bredouillage insensé, impossible .
5
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water 4 wall one pour jump all stream between like crazy throw_out say quick nonsense be_able_to
out_intermediate.json:train:17
{ "do_rag": true, "do_eval": false }
Je veux que tu gardes un souvenir de moi .
3
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I want you keep keepsakes I
out_intermediate.json:train:18
{ "do_rag": true, "do_eval": false }
Cela ne dépend pas de moi .
3
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[ "7091", "5526", "11481", "7077", "6632" ]
that no dependence from I
out_intermediate.json:train:19
{ "do_rag": true, "do_eval": false }
la nuit était très-obscure et le chemin traversait un bois épais .
2
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night past be very dark and pathway cross forest thick
out_intermediate.json:train:20
{ "do_rag": true, "do_eval": false }
devant elle, sur la table, était une botte d'herbes choisies, fraîches et succulentes .
2
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in_front table past be boot grass choose new nice
out_intermediate.json:train:21
{ "do_rag": true, "do_eval": false }
vous voulez me consoler par bonté sans doute
3
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you want I console by good without doubt
out_intermediate.json:train:22
{ "do_rag": true, "do_eval": false }
C'est elle qui m'a envoyé le Coq et le Corbeau, ainsi que le petit Vieillard, le Géant et le Loup .
5
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past she I send chicken and raven and small elderly man and giant and wolf
out_intermediate.json:train:23
{ "do_rag": true, "do_eval": false }
Elle est laide et bête
1
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she be ugly and bad
out_intermediate.json:train:24
{ "do_rag": true, "do_eval": false }
Sa femme était morte peu de jours après la naissance de cette fille, qui s'appelait Rosalie .
5
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wife past die few day after birth girl write_the_name
out_intermediate.json:train:25
{ "do_rag": true, "do_eval": false }
il se tint tout le temps à ses côtés .
3
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past he remain always close his
out_intermediate.json:train:26
{ "do_rag": true, "do_eval": false }
Mais il craignit de l'épouvanter .
5
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but past he fright of scare somebody
out_intermediate.json:train:27
{ "do_rag": true, "do_eval": false }
les plantes, les herbes cédaient
2
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[ "38613", "3113", "9839", "11749" ]
plant grass past make
out_intermediate.json:train:28
{ "do_rag": true, "do_eval": false }
Son angoisse se peignit dans son regard
3
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his anxious past paint in his eyes
out_intermediate.json:train:29
{ "do_rag": true, "do_eval": false }
Et moi donc, dit Violette, ne puis-je aussi aider ma bonne mère et notre chère Passerose ?
5
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and I say violet no be_able_to help my nice mother our love question
out_intermediate.json:train:30
{ "do_rag": true, "do_eval": false }
La fée les regardait tour à tour et riait de leur stupeur
3
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fairy past watch next and past laugh theirs surprise
out_intermediate.json:train:31
{ "do_rag": true, "do_eval": false }
Je n'aime pas mon livre
4
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[ "7310", "26941", "38889", "12264", "25191" ]
I no like my book
out_intermediate.json:train:32
{ "do_rag": true, "do_eval": false }
Sa belle robe rose en désordre l'attestait dans le coin sombre où elle était en pénitence .
5
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she pretty dress pink messy past be be dark she past be self-punishment
out_intermediate.json:train:33
{ "do_rag": true, "do_eval": false }
Sous la vigne flottante autour de la maison .
1
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under vine float around house
out_intermediate.json:train:34
{ "do_rag": true, "do_eval": false }
Que je l'aimais, ma soeur, et c'était un poison !
5
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that past love I my sister and past be toxic It
out_intermediate.json:train:35
{ "do_rag": true, "do_eval": false }
Tu ne sais pas comme le pauvre est riche dans ses prières
3
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you no know how poor person be rich in his pray
out_intermediate.json:train:36
{ "do_rag": true, "do_eval": false }
Et il retourna à ses calculs .
3
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and he past return his calculate
out_intermediate.json:train:37
{ "do_rag": true, "do_eval": false }
Leurs rires, en traversant la cour du château, attirèrent deux ou trois vieux domestiques qui, de temps immémorial, n'avaient pas entendu rire à Guicheville
5
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theirs laugh through inner_courtyard castle past attract 2 or 3 elderly domestic_help ancient past no hear laugh city
out_intermediate.json:train:38
{ "do_rag": true, "do_eval": false }
Sortie pour ne plus revenir, répond la voisine .
3
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exit for no return answer lady
out_intermediate.json:train:39
{ "do_rag": true, "do_eval": false }
elle se faisait servir sans leur dire jamais je vous prie .
3
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she past serve without they say never I you please
out_intermediate.json:train:40
{ "do_rag": true, "do_eval": false }
Aglaé ce rendit à l'heure indiquée chez Léontine: on lui dit qu'elle était avec mesdemoiselles Schwamberg à la promenade, où la calèche devait les prendre: elle court à la promenade, et se dépêche en voyant de loin la calèche, et arrive toute essoufflée, disant qu'elle a bien craint de faire attendre .
5
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past go hour indicate house say she with woman promenade carriage run quick see far arrive breathe_out fear wait sorry
out_intermediate.json:train:41
{ "do_rag": true, "do_eval": false }
Vous n'avez qu'à me le dire à moi
3
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you need to say that to I
out_intermediate.json:train:42
{ "do_rag": true, "do_eval": false }
crains-tu que je te mange ?
3
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you fright I you eat question
out_intermediate.json:train:43
{ "do_rag": true, "do_eval": false }
Il ne l'eut pas plus tôt avalé, qu'il se sentit inquiet de ce qu'il venait de faire .
5
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he past no swallow previous past feel worried things past
out_intermediate.json:train:44
{ "do_rag": true, "do_eval": false }
Comme le temps était fort beau le lendemain, bien qu'il fit froid d'une dernière gelée, après que les leçons furent apprises, que l'active gouvernante eut habillé ses quatres petites maîtresses qu'elle aimait avec dévotion, on déjeuna de bonne heure, on sortit à pied tous ensemble .
5
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past time be pretty tomorrow although cold last frost after course learn guardian dress 4 small girl she love with we lunch hour walk all
out_intermediate.json:train:45
{ "do_rag": true, "do_eval": false }
est-ce que je suis méchante, moi ?
3
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question I be bad ?
out_intermediate.json:train:46
{ "do_rag": true, "do_eval": false }
Elles sont donc bien à plaindre ?
3
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they be well sadden question
out_intermediate.json:train:47
{ "do_rag": true, "do_eval": false }
tenez-le ferme entre vos genoux !
1
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grip that_one fixed between your knee
out_intermediate.json:train:48
{ "do_rag": true, "do_eval": false }
Les deux mamans, Mme de Fleurville et Mme de Rosbourg, souriaient à cette agitation, qu'elles ne partageaient pas, mais qu'elles ne cherchaient pas à calmer
5
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2 mothers and mothers past laugh nervous they past no distribute but they past no search calm
out_intermediate.json:train:49
{ "do_rag": true, "do_eval": false }
Bientôt après, la cloche du déjeuner se fit entendre
2
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moment after lunch bell past hear
out_intermediate.json:train:50
{ "do_rag": true, "do_eval": false }
Le gendarme prit la main de M. de Rugès et la serra avec émotion .
5
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past police take hand person and hand tighten with feelings
out_intermediate.json:train:51
{ "do_rag": true, "do_eval": false }
Oui, je me souviens... le Normand .
5
[ 5584, 6632, 37369, 8476 ]
[ "5584", "7310", "11358", "34557", "28968" ]
yes I recall person France
out_intermediate.json:train:52
{ "do_rag": true, "do_eval": false }
je dormais, car je m'ennuyais beaucoup .
3
[ 9839, 6632, 2369, 11348, 6632, 6873, 5521 ]
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I past sleep because boring a_lot_of
out_intermediate.json:train:53
{ "do_rag": true, "do_eval": false }
il me prit la tête et l'appuya de force sur son épaule .
3
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he past take my head and past push strength his shoulder
out_intermediate.json:train:54
{ "do_rag": true, "do_eval": false }
mais je te le confie .
3
[ 11377, 6632, 6625, 8476, 25062 ]
[ "11377", "7310", "6625", "31670", "17038" ]
but I you It give
out_intermediate.json:train:55
{ "do_rag": true, "do_eval": false }
Ils ne m'ont seulement pas dit merci
3
[ 9839, 7032, 6632, 32761, 9693, 5526, 8129 ]
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they past no no I say thank
out_intermediate.json:train:56
{ "do_rag": true, "do_eval": false }
Il n'y avait pas un moment à perdre
2
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past no there_is be one moment lose
out_intermediate.json:train:57
{ "do_rag": true, "do_eval": false }
Voyant que ses cris n'attiraient l'attention de personne, elle ne pensa plus à faire l'effrayée et l'on arriva au jardin .
5
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see that she cry no attract attention none she past think no frightened and they past arrive garden
out_intermediate.json:train:58
{ "do_rag": true, "do_eval": false }
Merci, mille fois merci, mon ami .
3
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[ "31206", "31206", "29258", "28599", "12266", "8487" ]
thanks thanks one_thousand time my friend
out_intermediate.json:train:59
{ "do_rag": true, "do_eval": false }
Son maître était si beau dans son costume de chasse qu'il ne pouvait manquer de faire de nombreuses victimes .
5
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his principal past be handsome in his costume hunt he no be_able_to make many victim
out_intermediate.json:train:60
{ "do_rag": true, "do_eval": false }
Mme Colin-Tampon descendit les marches du perron en agitant son mouchoir .
4
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woman past descend stairs porch during flap she handkerchief
out_intermediate.json:train:61
{ "do_rag": true, "do_eval": false }
je vous assure que c'est des bêtises, tout ça
3
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I you assure that be nonsense all this
out_intermediate.json:train:62
{ "do_rag": true, "do_eval": false }
L'orchestre redoubla de vigueur pour solenniser ce moment !
2
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orchestra past increase strong for celebrate this moment !
out_intermediate.json:train:63
{ "do_rag": true, "do_eval": false }
avec une belle toque à plumes blanches, des gants à manchettes et un toupet magnifique de faux cheveux, rouge carotte .
4
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with nice hat white feather glove sleeve and important wig hair red carrot
out_intermediate.json:train:64
{ "do_rag": true, "do_eval": false }
je grille de manger des produits africains
1
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I get_tired of eat_a_sandwich some ingredients indigenous_person_of_Africa
out_intermediate.json:train:65
{ "do_rag": true, "do_eval": false }
ce dernier ne perdait pas une occasion de dire avec une emphase et une joie profonde
3
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this last no past lose date say with important and happy very
out_intermediate.json:train:66
{ "do_rag": true, "do_eval": false }
ça lui a fait peur .
3
[ 9839, 6906, 6481, 8979 ]
[ "7091", "4665", "9839", "11749", "6916" ]
that man past make scare
out_intermediate.json:train:67
{ "do_rag": true, "do_eval": false }
Qu'est-ce qu'il y a à manger ?
2
[ 3418, 9001, 7041, 38413, 7217 ]
[ "7217", "22624", "9001", "4610" ]
question what there_is food
out_intermediate.json:train:68
{ "do_rag": true, "do_eval": false }
ça ne sert à rien... de crier .
3
[ 6906, 7247, 7041, 29839, 7074, 6552 ]
[ "5800", "7247", "7041", "29839", "6552" ]
no serve to nothing shout
out_intermediate.json:train:69
{ "do_rag": true, "do_eval": false }
Philéas était hors de lui !
3
[ 37779, 36480, 5475, 7074, 6481 ]
[ "27357", "9839", "38811" ]
first_name past furious
out_intermediate.json:train:70
{ "do_rag": true, "do_eval": false }
Le coiffeur, désappointé, demanda à retourner à Moscou, mais Philéas l'entraîna dans un coin, lui parla bas avec feu et le coiffeur s'inclina en disant: --Je ferai tout ce que Monsieur voudra .
5
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hairdresser downhearted past ask to future return city but man guide corner past whisper with fire past bend past say future all that gentleman want
out_intermediate.json:train:71
{ "do_rag": true, "do_eval": false }
Un ours de nouvelle espèce .
4
[ 2627, 2488, 37163 ]
[ "2627", "2488", "4705", "30205" ]
one bear new category
out_intermediate.json:train:72
{ "do_rag": true, "do_eval": false }
j'avais même un tire-botte et une brosse dont je ne me servais guère .
3
[ 9839, 6632, 32761, 4667, 2627, 36039, 11399, 8474, 2694, 6632, 7247, 5546 ]
[ "9839", "32761", "2627", "11399", "2694", "7310", "39149", "7209", "9839", "7247" ]
past have one and brush I no few past serve
out_intermediate.json:train:73
{ "do_rag": true, "do_eval": false }
C'étaient des époques rudes et sauvages, interrompait alors mon frère Frédéric
5
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[ "9839", "36480", "5374", "27385", "31888", "11399", "7237", "9839", "27393", "13080", "12264", "2423" ]
past be some time hard and wild past interrupt after my brother
out_intermediate.json:train:74
{ "do_rag": true, "do_eval": false }
Pourquoi es-tu parti de chez elle ?
3
[ 24763, 36480, 9839, 6625, 2432, 7074, 7028, 7217 ]
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why you past exit house she question
out_intermediate.json:train:75
{ "do_rag": true, "do_eval": false }
Il prit ses jambes à son cou, trouva le briquet .
3
[ 9839, 6480, 10148, 12276, 8666, 7041, 12272, 2727, 24742, 8476, 4692 ]
[ "4665", "9839", "10148", "31015", "9839", "24742", "4692" ]
man past take flee past find lighter
out_intermediate.json:train:76
{ "do_rag": true, "do_eval": false }
Un jeune homme les embrassa l'un après l'autre, après avoir essuyé la bave de leurs lèvres avec leurs longues oreilles .
5
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young man past kiss person one after other after past clean saliva lips with theirs long ear
out_intermediate.json:train:77
{ "do_rag": true, "do_eval": false }
Autrefois je portais de petites fleurs bleues
1
[ 9839, 6632, 6553, 7074, 4716, 7105, 4869 ]
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past I dress small flowers blue
out_intermediate.json:train:78
{ "do_rag": true, "do_eval": false }
c'était le mouvement qui animait cette nature simple et grandiose .
3
[ 9839, 7095, 36480, 8476, 25656, 11351, 36091, 8476, 20389, 32434, 11399 ]
[ "9839", "36480", "8476", "25656", "11351", "11749", "11397", "7095", "14552", "32302", "11399", "4658" ]
past be the movement that make alive this environment simple and large
out_intermediate.json:train:79
{ "do_rag": true, "do_eval": false }
Plus ils tournaient le bâtonnet, plus les deux ficelles se tordaient, et, lorsqu'au bout d'un moment, ils lâchaient le bâtonnet, les ficelles, en se détordant subitement, faisaient sauter la carcasse plus ou moins haut .
5
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more they turn stick more string wring and when moment they put_down stick string wring quick raise more less up
out_intermediate.json:train:80
{ "do_rag": true, "do_eval": false }
Quelle variété de créatures que je n'ai jamais vues !
5
[ 26022, 7074, 11306, 11351, 9839, 6632, 5527, 6564 ]
[ "22624", "4628", "7074", "11306", "7310", "5527", "6564", "32804" ]
what uneven of monster I never see exclaim
out_intermediate.json:train:81
{ "do_rag": true, "do_eval": false }
je me sens tout transporté de bonheur .
1
[ 9839, 6632, 25275, 5596, 8983, 7074, 8582 ]
[ "7310", "30196", "25708", "10192" ]
I feel very happy
out_intermediate.json:train:82
{ "do_rag": true, "do_eval": false }
Voilà mes souvenirs, ma vie !
3
[ 12266, 32107, 12264, 8717 ]
[ "6906", "12266", "32107", "12264", "8717", "3417" ]
that_one my keepsakes my life !
out_intermediate.json:train:83
{ "do_rag": true, "do_eval": false }
que je voudrais les voir !
3
[ 11351, 6632, 5441, 8477, 6564 ]
[ "11351", "7310", "31141", "6564", "31906", "3417" ]
that I want see they !
out_intermediate.json:train:84
{ "do_rag": true, "do_eval": false }
mais n'y était-elle pas mieux qu'au milieu du tohu-bohu de la foule ?
3
[ 11377, 36480, 7028, 5526, 11705, 11351, 5449, 7074, 36935, 7074, 8476, 38445, 7217 ]
[ "11377", "5526", "7028", "22627", "5449", "24833", "38445", "7217" ]
but no she better middle disrupt crowd question
out_intermediate.json:train:85
{ "do_rag": true, "do_eval": false }
qui veut acheter des peaux ?
3
[ 11351, 5441, 6457, 5374, 2840, 7217 ]
[ "10276", "31141", "39753", "2840", "7217" ]
who want buy skin question
out_intermediate.json:train:86
{ "do_rag": true, "do_eval": false }
Qu'est-ce que tu as encore trouvé ?
1
[ 3418, 9839, 6625, 37163, 24742, 7217 ]
[ "6625", "9839", "37163", "5990", "22624", "7217" ]
you past again find what question
out_intermediate.json:train:87
{ "do_rag": true, "do_eval": false }
Vous voilà satisfait, Larsen, dirent les maîtres, voilà ces pauvres vieux arbres par terre .
5
[ 7307, 36935, 9693, 8477, 2457, 7092, 16843, 25796, 2256, 7212, 3160 ]
[ "7307", "5382", "32123", "34557", "9839", "28663", "2456", "7092", "10209", "34894", "2256", "3160" ]
you here content person past say teacher those poor elderly tree ground
out_intermediate.json:train:88
{ "do_rag": true, "do_eval": false }
Et maintenant nous allons vous dire comment Ole Ferme-l'oeil, durant toute une semaine, vint tous les soirs chez un petit garçon qui s'appelait Hjalmar .
5
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now we go you communicate how person complete week past come all night residence small boy
out_intermediate.json:train:89
{ "do_rag": true, "do_eval": false }
il se dressa de tout son haut, se baissa jusque par terre, fit mille contorsions
2
[ 9839, 6480, 7074, 5596, 12272, 5388, 16437, 7212, 3160, 6190, 29258, 31790 ]
[ "6480", "9839", "35229", "4557", "9839", "16437", "7771", "3160", "9839", "29258", "36638" ]
he past stand_up tall past crouch until ground past one_thousand stretch
out_intermediate.json:train:90
{ "do_rag": true, "do_eval": false }
Le papillon vole tout droit vers les pâquerettes .
1
[ 8476, 2465, 6246, 8612, 7125, 8477, 2704 ]
[ "2465", "6246", "9892", "7125", "3127" ]
butterfly fly vertical towards daisy
out_intermediate.json:train:91
{ "do_rag": true, "do_eval": false }
il neigeait depuis le matin
2
[ 6480, 7172, 7077, 8476, 25704 ]
[ "9839", "7172", "7077", "25704" ]
past snow from morning
out_intermediate.json:train:92
{ "do_rag": true, "do_eval": false }
On eût dit que flottaient dans l'air les drapeaux de toutes les nations .
5
[ 9839, 7186, 9693, 11351, 32904, 7034, 8476, 23731, 8477, 5918, 7074, 5596, 8477 ]
[ "7183", "9839", "9693", "11351", "9839", "21874", "7034", "9044", "5918", "5596", "35431" ]
we past say that past float in air flag all country
out_intermediate.json:train:93
{ "do_rag": true, "do_eval": false }
Lorsque nous voltigeons à travers la chambre et que de bonheur nous sourions, l'enfant ne sait pas qu'un an nous est soustrait sur les trois cents, mais si nous trouvons un enfant cruel et méchant, il nous faut pleurer de chagrin et chaque larme ajoute une journée à notre temps d'épreuve .
5
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when we fly through bedroom and happiness we happy girl no know one year we subtract three_hundred but if we find girl bad bad obligation we cry sad and all tear add day our time exam
out_intermediate.json:train:94
{ "do_rag": true, "do_eval": false }
Le frère puîné savait certes mieux maçonner que la pauvre Marguerite, car il avait appris comment il faut s'y prendre .
5
[ 9839, 8476, 2423, 37779, 16885, 11705, 11351, 8476, 16843, 3127, 11348, 6480, 37810, 22619, 15523, 10148 ]
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past brother know better build poor person because he past learn how take
out_intermediate.json:train:95
{ "do_rag": true, "do_eval": false }
Les jours de cet hiver-là furent longs et sombres .
2
[ 9839, 8477, 7022, 7074, 7091, 5493, 5375, 36480, 4675, 11399, 4710 ]
[ "9839", "37371", "7091", "5493", "26162", "11399", "26993" ]
past day that winter long and dark
out_intermediate.json:train:96
{ "do_rag": true, "do_eval": false }
Voyez comme elle danse avec sa petite !
3
[ 6564, 12313, 7028, 35747, 7064, 12272, 4716 ]
[ "6564", "12313", "7028", "2652", "7064", "4716", "32846" ]
see how she dance with small girl
out_intermediate.json:train:97
{ "do_rag": true, "do_eval": false }
il doit chanter ce soir .
2
[ 6480, 15523, 6960, 26997 ]
[ "6480", "15523", "9829", "35626", "7181" ]
he obligation future sing night
out_intermediate.json:train:98
{ "do_rag": true, "do_eval": false }
On ne pourrait même pas me planter
3
[ 7186, 35949, 5526, 6632, 2828 ]
[ "7183", "5526", "35949", "25708", "6632", "2828" ]
we no be_able_to very I plant
out_intermediate.json:train:99
{ "do_rag": true, "do_eval": false }
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