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1
Nous voila a la mer .
1
[ "7183", "5465", "5382", "2925" ]
we be here sea
gutenberg.json:train:0
{ "do_rag": false, "do_eval": false }
1
ils etaient bien vite las, je t'en reponds .
3
[ "7031", "5465", "25708", "37850", "28709", "7310", "7304", "10176" ]
they be very fast tired I you answer
gutenberg.json:train:1
{ "do_rag": false, "do_eval": false }
1
Alors ils s'arretaient tout essouffles, s'essuyaient le front et nous montraient le poing .
3
[ "36021", "35537", "2566", "3326", "11308", "39531" ]
stop tired dry forehead show fist
gutenberg.json:train:2
{ "do_rag": false, "do_eval": false }
1
maman, si le voyage pouvait durer toujours !
3
[ "31148", "28359", "39445", "35949", "17322", "3417" ]
mother if travel be_able_to always !
gutenberg.json:train:3
{ "do_rag": false, "do_eval": false }
1
Maman a souri sans rien dire
3
[ "31148", "9839", "38792", "7813", "28663", "32522" ]
mother past laugh without say nothing
gutenberg.json:train:4
{ "do_rag": false, "do_eval": false }
1
Jean a hausse les epaules, et je me suis remise a la portiere .
5
[ "4665", "38053", "11399", "7310", "6630", "38750" ]
man raise_arms and I return door
gutenberg.json:train:5
{ "do_rag": false, "do_eval": false }
1
Alors sais-tu ce que j'ai vu ?
3
[ "13080", "9034", "31801", "6906", "22624", "7310", "6564", "7217" ]
after know you that_one what I see question
gutenberg.json:train:6
{ "do_rag": false, "do_eval": false }
1
Nous etions sur une hauteur, on voyait les maisons et les personnes tout en bas
2
[ "7184", "9839", "31287", "7184", "9839", "6564", "6964", "7116", "5355" ]
we past height we past see house people below
gutenberg.json:train:7
{ "do_rag": false, "do_eval": false }
1
dans le jardin d'une des maisons, deux garcons s'amusaient a trainer une petite fille dans une voiture a quatre roues .
3
[ "7034", "2974", "6964", "4889", "4890", "32843", "8992", "23771", "32846", "7034", "6981", "4892", "5566" ]
in garden house one 2 boy entertain attract girl in car 4 wheel
gutenberg.json:train:8
{ "do_rag": false, "do_eval": false }
1
Voila un des garcons qui se retourne en riant, leve la corde aussi haut qu'il peut, et fait chavirer la voiture et la petite fille .
3
[ "31902", "32843", "26728", "30393", "36073", "7006", "5451", "35949", "38389", "6981", "32846" ]
show boy turn_around laugh raise rope above be_able_to knock_down car girl
gutenberg.json:train:9
{ "do_rag": false, "do_eval": false }
1
Oh! qu'ils sont mechants et mal eleves, les garcons !
3
[ "32804", "32843", "36480", "32652", "3418", "32652", "3417" ]
exclaim boy be bad ? bad !
gutenberg.json:train:10
{ "do_rag": false, "do_eval": false }
1
Comme nous allions tres vite, des arbres m'ont cache le jardin
5
[ "11348", "7183", "35093", "25708", "37850", "2256", "11098", "7310", "31797", "2974" ]
because we go very fast tree plural I cover garden
gutenberg.json:train:11
{ "do_rag": false, "do_eval": false }
1
Jean a tout de suite pris le parti des garcons
4
[ "34560", "36675", "25762", "36560" ]
person urgent go_with children
gutenberg.json:train:12
{ "do_rag": false, "do_eval": false }
1
Je lui ai tourne le dos et je suis revenue a la portiere .
3
[ "7310", "9839", "26728", "7029", "11399", "7310", "9839", "31748", "38750" ]
I past turn_around she and I past return door
gutenberg.json:train:13
{ "do_rag": false, "do_eval": false }
1
je te permets de faire la dinette avec ta poupee .
3
[ "7310", "31801", "21012", "11749", "25966", "7064", "12281", "3130" ]
I you allow make toy_kitchen with your doll
gutenberg.json:train:14
{ "do_rag": false, "do_eval": false }
1
Je ne lui ai pas seulement repondu .
3
[ "7310", "26941", "6481", "10176", "26915" ]
I no he answer less
gutenberg.json:train:15
{ "do_rag": false, "do_eval": false }
1
J'ai ouvert tout doucement le panier .
1
[ "7310", "9839", "2637", "4676", "27053", "34486" ]
I past open_the_box slow mild basket
gutenberg.json:train:16
{ "do_rag": false, "do_eval": false }
1
quand je l'ai tiree du panier, j'ai pousse un grand cri et je me suis mise a pleurer .
5
[ "24053", "7310", "5569", "34486", "7310", "4658", "31127", "37924", "7310", "5431", "35881" ]
when I pull_out_ basket I large shout cry I begin crying
gutenberg.json:train:17
{ "do_rag": false, "do_eval": false }
1
Je ne m'en suis apercue qu'au dernier moment, et alors, sans rien dire, je l'ai mise dans le panier de Lili .
5
[ "31975", "9839", "32069", "29107", "13080", "7813", "37638", "8166", "34486", "36977" ]
realize past last moment after without absence_of_speech put basket daughter
gutenberg.json:train:19
{ "do_rag": false, "do_eval": false }
1
il est taquin, mais il n'est pas mechant .
3
[ "6480", "31416", "11377", "6480", "26941", "32192" ]
he cheeky_person but he no bad
gutenberg.json:train:20
{ "do_rag": false, "do_eval": false }
1
mais le cache-poussiere est perdu, et le joli costume de plage aussi !
3
[ "11377", "34619", "24760", "11399", "11194", "5985", "2601", "24760" ]
but cover lose and pretty costume swimsuit lose
gutenberg.json:train:21
{ "do_rag": false, "do_eval": false }
1
Si tu as oublie quelque chose, il est encore temps .
3
[ "28359", "31801", "26258", "11318", "17058" ]
if you forget things have_time
gutenberg.json:train:22
{ "do_rag": false, "do_eval": false }
1
Les mamans ont tant d'esprit !
1
[ "35067", "32761", "22629", "31977", "3417" ]
mothers have a_lot_of amusing !
gutenberg.json:train:23
{ "do_rag": false, "do_eval": false }
1
Au lieu de cela, j'ai fait une grosse sottise et cause un grand malheur .
3
[ "17056", "7309", "11749", "4658", "34639", "12295", "4658", "25052" ]
other I make large incorrect cause large disaster
gutenberg.json:train:24
{ "do_rag": false, "do_eval": false }
1
Songe que la pauvre Lili n'a plus rien a mettre !
5
[ "37062", "16843", "32846", "5800", "29839", "32135" ]
fantasize poor girl no nothing dress
gutenberg.json:train:25
{ "do_rag": false, "do_eval": false }
1
mais j'avais le coeur trop gros pour bien regarder .
3
[ "11377", "7310", "32761", "2715", "39188", "4658", "5397", "6564" ]
but I have heart too_much large well see
gutenberg.json:train:26
{ "do_rag": false, "do_eval": false }
1
Toutes ces jolies choses n'empechaient pas les costumes de Lili d'etre perdus .
5
[ "32438", "7092", "11194", "11318", "5526", "36021", "8477", "5985", "34558", "5465", "24759" ]
all those pretty things no stop the costume person be lose
gutenberg.json:train:27
{ "do_rag": false, "do_eval": false }
1
Et moi qui m'etais fait une si grande fete de montrer Lili aux autres petites filles !
5
[ "7309", "9839", "4658", "24963", "11308", "32846", "17054", "4716", "6974" ]
I past large party show girl other small girls
gutenberg.json:train:28
{ "do_rag": false, "do_eval": false }
1
Le chemin traversait des herbages .
1
[ "25648", "6466", "3113" ]
route cross grass
gutenberg.json:train:29
{ "do_rag": false, "do_eval": false }
1
Ils avaient un toutou derriere eux .
3
[ "31906", "38967", "5443", "31906" ]
they dog behind they
gutenberg.json:train:30
{ "do_rag": false, "do_eval": false }
1
Jean s'est mis a chanter
4
[ "39005", "5431", "35626" ]
man begin sing
gutenberg.json:train:31
{ "do_rag": false, "do_eval": false }
1
Cela ressemblait si bien a ce que nous avions vu chez Robert Houdin, que je n'ai pas pu m'empecher de rire .
5
[ "7091", "36797", "25708", "6564", "2932", "7310", "5526", "11750", "36021", "13354" ]
that imitate very see magician I no be_able_to stop laugh
gutenberg.json:train:32
{ "do_rag": false, "do_eval": false }
1
Mais je n'ai pas ri longtemps, car j'ai repense tout de suite a la pauvre Lili .
5
[ "11377", "7310", "26941", "38792", "37678", "11348", "7310", "38796", "37162", "5306", "7041", "16843", "36977" ]
but I no laugh long because I think once_more quick to poor daughter
gutenberg.json:train:33
{ "do_rag": false, "do_eval": false }
1
Je t'aime bien tout de meme et je t'embrasse comme je t'aime .
3
[ "7310", "31801", "6600", "31851", "27206", "11399", "7310", "31801", "6062", "3423", "7310", "6600" ]
I you love nice remain and I you kiss equal_sign I love
gutenberg.json:train:34
{ "do_rag": false, "do_eval": false }
1
Ma Michette, mon Michon cheri, je t'ai promis de te dire ce que c'est que la mer, et je vais te le dire .
5
[ "4703", "4665", "11519", "6632", "6625", "37046", "9693", "2925", "11399", "6632", "6625", "9693" ]
woman man love I you promise say sea and I you say
gutenberg.json:train:35
{ "do_rag": false, "do_eval": false }
1
La mer, c'est beaucoup d'eau, on ne peut pas dire le contraire .
4
[ "2925", "22629", "32464", "5526", "35949", "28663", "24753" ]
sea a_lot_of water no be_able_to say opposite
gutenberg.json:train:36
{ "do_rag": false, "do_eval": false }
1
Le 4 juillet, dans l'apres-midi, nous sommes montes sur des hauteurs
4
[ "6538", "7268", "7184", "8226", "31287" ]
July afternoon we climb height
gutenberg.json:train:37
{ "do_rag": false, "do_eval": false }
1
plus nous montions, plus nous voyions loin, et plus la mer paraissait grande .
2
[ "26913", "7183", "8226", "26913", "7183", "6564", "36759", "26913", "2925", "39430", "4658" ]
more we climb more we see far more sea show large
gutenberg.json:train:38
{ "do_rag": false, "do_eval": false }
1
Je n'ai encore rien dit .
1
[ "2617", "39149", "28663", "32522", "9839" ]
I no say nothing past
gutenberg.json:train:39
{ "do_rag": false, "do_eval": false }
1
Alors je lui ai demande ce que c'est que la perspective
3
[ "13080", "7310", "36159", "6481", "22624", "11717", "5465", "7217" ]
after I ask he what description be question
gutenberg.json:train:40
{ "do_rag": false, "do_eval": false }
1
Veux-tu que je te dise ?
3
[ "31141", "31801", "7310", "31801", "9693" ]
want you I you say
gutenberg.json:train:41
{ "do_rag": false, "do_eval": false }
1
Les garcons ont grand tort de se croire plus que les filles !
4
[ "32843", "34639", "38796", "5508", "32846" ]
boy incorrect think more girl
gutenberg.json:train:42
{ "do_rag": false, "do_eval": false }
1
Je te dirai que l'eau de la mer est salee, avec un gout amer .
3
[ "6632", "7307", "9829", "28663", "11351", "6889", "2925", "4739", "7064", "30928" ]
I you future say that water sea salty with bitter
gutenberg.json:train:43
{ "do_rag": false, "do_eval": false }
1
Non.... Eh bien, un baigneur, c'est un homme a figure rasee, qui a l'air d'avoir marine dans l'eau de mer .
3
[ "5526", "31410", "3208", "4665", "6032", "37590", "5507", "32464", "2925" ]
no ok swimmer man shave_off like sailor water sea
gutenberg.json:train:45
{ "do_rag": false, "do_eval": false }
1
Il a une bonne figure, mais il ne faut pas se fier a cela .
5
[ "6481", "7271", "31851", "2394", "11377", "6481", "26941", "36694", "7091" ]
he have nice figure but he no trust that
gutenberg.json:train:46
{ "do_rag": false, "do_eval": false }
1
il vous plonge une fois, deux fois, trois fois dans la mer, et puis apres il vous rend a votre maman .
5
[ "4665", "7290", "38904", "35677", "27387", "7283", "2925", "11399", "13080", "4665", "7290", "6630", "12287", "31148" ]
man you dunk one twice 3 sea and after man you return your mother
gutenberg.json:train:47
{ "do_rag": false, "do_eval": false }
1
Pour ne pas faire rire a mes depens les autres personnes qui sont la, je ne crie plus, je ne me debats plus .
3
[ "7194", "39149", "35555", "17054", "34558", "5382", "7309", "39149", "4686", "39149", "37373" ]
for no laugh other person here I no shout no fight
gutenberg.json:train:48
{ "do_rag": false, "do_eval": false }
1
je ferme les yeux et la bouche, et je retiens mon haleine
1
[ "7310", "4596", "2876", "11399", "2663", "11399", "12266", "34508" ]
I closed eyes and mouth and my breathe
gutenberg.json:train:49
{ "do_rag": false, "do_eval": false }
1
J'aime bien la mer pour jouer au croquet sur le sable, mais je n'aime pas la mer pour etre fourree dedans trois fois de suite .
5
[ "21917", "2925", "35723", "32574", "4565", "11377", "22005", "2925", "5439", "7283", "37163", "38596" ]
like sea play game_and_sport sand but dislike sea inside 3 again line
gutenberg.json:train:50
{ "do_rag": false, "do_eval": false }
1
Voila ce que c'est que la mer .
1
[ "9001", "22624", "5581", "2925" ]
there_is what be sea
gutenberg.json:train:51
{ "do_rag": false, "do_eval": false }
1
il y a encore quelque chose que j'allais oublier .
2
[ "9001", "11318", "9839", "8142", "26258" ]
there_is things past go forget
gutenberg.json:train:52
{ "do_rag": false, "do_eval": false }
1
A d'autres heures, elle revient couvrir le sable, et l'on dit que la maree est haute .
5
[ "17056", "7129", "7029", "6630", "26024", "4565", "11399", "7117", "9693", "2925", "4557" ]
other hour she return cover sand and people say sea tall
gutenberg.json:train:54
{ "do_rag": false, "do_eval": false }
1
A maree basse, Jean s'en va pecher des crevettes avec d'autres garcons de son age .
5
[ "5355", "34560", "32154", "11339", "2312", "7064", "17056", "32843", "12272", "7072" ]
below person move_away fish crab with other boy his age
gutenberg.json:train:55
{ "do_rag": false, "do_eval": false }
1
C'est bon a savoir, et je te le dis pour que tu ne te laisses pas attraper .
3
[ "32432", "26405", "11399", "7310", "31801", "9693", "7194", "31801", "5526", "21010", "31801", "8188" ]
good know and I you say for you no allow you trap
gutenberg.json:train:56
{ "do_rag": false, "do_eval": false }
1
Tu vois que, si je te dis ses defauts, je te dis aussi ses qualites
5
[ "7306", "6564", "28359", "7310", "7306", "9693", "12276", "32192", "7310", "7306", "9693", "11399", "12276", "35993" ]
you see if I you say his bad I you say and his quality
gutenberg.json:train:57
{ "do_rag": false, "do_eval": false }
1
hier il a pris a part, dans un coin, tous ses petits camarades, et il leur a donne l'idee de faire un feu de joie sur la plage, le soir, a maree basse .
5
[ "6926", "6480", "11475", "5463", "12272", "4716", "25786", "11399", "17040", "35479", "11749", "4664", "16649", "2826", "7181", "32818" ]
yesterday he take_part corner his small friend and give have_an_idea make bonfire celebrate beach night bottom
gutenberg.json:train:58
{ "do_rag": false, "do_eval": false }
1
C'etait tres joli, et tout le monde se promenait autour, meme les grandes personnes .
3
[ "5465", "25708", "11194", "11399", "36081", "32214", "5376", "8475", "4658", "6887" ]
be very pretty and everybody walk around some large adults
gutenberg.json:train:60
{ "do_rag": false, "do_eval": false }
1
Il pleut encore au moment ou je t'ecris .
5
[ "7148", "37163", "29106", "24053", "7310", "31801", "21559" ]
rain again moment when I you copy
gutenberg.json:train:61
{ "do_rag": false, "do_eval": false }
1
C'est ennuyeux partout, la pluie, mais surtout a la mer .
3
[ "5466", "28705", "8173", "7148", "11377", "25708", "2925" ]
be boring worldwide rain but very sea
gutenberg.json:train:62
{ "do_rag": false, "do_eval": false }
1
On ne voit dehors que les gens du pays et quelques baigneurs enrages
3
[ "7185", "6564", "5475", "7117", "35431", "11399", "5374", "3208", "21820" ]
us see outside people country and some swimmer angry
gutenberg.json:train:63
{ "do_rag": false, "do_eval": false }
1
toutes les dames restent dans leurs logements ou vont faire de la musique au casino .
2
[ "32438", "4745", "27206", "7034", "12274", "25729", "11313", "8142", "32751", "24791", "28228" ]
all lady remain in theirs residence neither go make music casino
gutenberg.json:train:64
{ "do_rag": false, "do_eval": false }
1
par exemple, elles se promenent sans leur bonne et sans leur maman, et elles sortent par tous les temps .
3
[ "16705", "7030", "3251", "7813", "27169", "11399", "7813", "31148", "11399", "7030", "31758", "5596", "32600" ]
explain they walk without guardian and without mother and they go all time_and_weather
gutenberg.json:train:65
{ "do_rag": false, "do_eval": false }
1
Je vois la notre par la fenetre
3
[ "7310", "6564", "12268", "8274", "2611" ]
I see our through window
gutenberg.json:train:66
{ "do_rag": false, "do_eval": false }
1
elle fait les cent pas toute seule, chaussee de grosses bottines, un grand parapluie a la main, et les cheveux au vent .
3
[ "7029", "32214", "29256", "35811", "7253", "4658", "8299", "4658", "37456", "32773", "28681", "23731" ]
she walk 100 step solitary large boot large umbrella take long_hair wind
gutenberg.json:train:67
{ "do_rag": false, "do_eval": false }
1
Figure-toi qu'elle se promene toujours !
3
[ "38796", "4703", "37345", "17322" ]
think woman stroll always
gutenberg.json:train:68
{ "do_rag": false, "do_eval": false }
1
Maman, qui a trouve ici des personnes de connaissance, a appris que ce n'est pas pour faire de l'effet que la petite Anglaise se promene a la pluie .
5
[ "39006", "5990", "5382", "7117", "9034", "37810", "26941", "11749", "11471", "4716", "34560", "32214", "7148" ]
woman find here people know learn no make important small person walk rain
gutenberg.json:train:69
{ "do_rag": false, "do_eval": false }
1
Son medecin lui a ordonne de se promener deux heures, par tous les temps .
4
[ "38446", "34557", "25062", "16461", "4890", "7129", "34805", "14552" ]
doctor person order walk 2 hour duration_of_activity environment
gutenberg.json:train:70
{ "do_rag": false, "do_eval": false }
1
Je dirai a maman de me faire prendre mon bain tout de meme .
3
[ "7310", "28663", "31148", "21012", "12264", "6058", "11185" ]
I say mother allow my bathe although
gutenberg.json:train:71
{ "do_rag": false, "do_eval": false }
1
Il pleut toujours, seulement un peu plus fort .
2
[ "31670", "7148", "17322", "11175", "8474", "4716", "5508", "4655" ]
It rain always some a small more strong
gutenberg.json:train:72
{ "do_rag": false, "do_eval": false }
1
Oui, cela me donnait du courage de la voir me sourire sous son parapluie .
5
[ "5583", "7091", "37774", "12266", "6564", "7029", "31849", "7047", "37456" ]
yes that cheer_up my see she happy under umbrella
gutenberg.json:train:73
{ "do_rag": false, "do_eval": false }
1
Je tremblais malgre moi, mais j'avais le coeur content .
3
[ "7310", "7109", "7067", "7310", "11377", "7310", "32761", "2715", "31923" ]
I shiver against I but I have heart content
gutenberg.json:train:74
{ "do_rag": false, "do_eval": false }
1
J'ai ri aussi, et puis il m'a plongee trois fois dans la vague, et puis c'etait fini, et j'avais envie de danser .
3
[ "38792", "11399", "13080", "6481", "7310", "38904", "2629", "4706", "11399", "13080", "5358", "11399", "31141", "2652" ]
laugh and after he I dunk 3 wave and after finish and want dance
gutenberg.json:train:75
{ "do_rag": false, "do_eval": false }
1
dans cette promenade, tout m'amusait, meme de patauger, meme de recevoir des ondees dans le cou .
3
[ "31839", "7124", "36481", "15507", "24208", "27073", "7034", "3332" ]
stroll like fun play_with_water get sound in throat
gutenberg.json:train:77
{ "do_rag": false, "do_eval": false }
1
Je tacherai d'avoir le coeur content le plus souvent possible .
1
[ "7309", "26144", "7271", "2715", "32123", "26913", "37029", "35949" ]
I try have heart content more frequently be_able_to
gutenberg.json:train:78
{ "do_rag": false, "do_eval": false }
1
et je t'embrasse de tout mon coeur .
3
[ "11399", "7310", "21435", "7307", "32438", "12266", "2715" ]
and I kiss you all my heart
gutenberg.json:train:79
{ "do_rag": false, "do_eval": false }
1
C'etait, en cette belle terre classique de Sicile, un de ces coins charmants que Theocrite aimait a contempler et a depeindre dans ses idylles .
5
[ "9839", "5465", "31851", "35431", "32806", "28971", "31851", "9819", "11258", "37721", "8718", "31902", "39626" ]
past be nice country ancient Italy nice place writer like watch show verse
gutenberg.json:train:80
{ "do_rag": false, "do_eval": false }
1
Depuis la pointe du jour, la vendange occupait tous les bras et rejouissait tous les coeurs .
2
[ "7077", "11477", "9043", "38805", "32438", "2669", "11399", "31186", "32438", "2715" ]
from dawn harvest fill all arm and rejoice all heart
gutenberg.json:train:81
{ "do_rag": false, "do_eval": false }
1
Il avait ri et il avait chante, parce que le ciel etait sans nuages
2
[ "6480", "30393", "6480", "35626", "11348", "38270", "9839", "7813", "2883" ]
he laugh he sing because sky past without cloud
gutenberg.json:train:82
{ "do_rag": false, "do_eval": false }
1
parce que ses enfants etaient gais, alertes et bien portants, comme de jeunes faunes
3
[ "11348", "31462", "10192", "8718", "29648", "37590", "10206", "8025" ]
because children happy watch healthy like young animal
gutenberg.json:train:83
{ "do_rag": false, "do_eval": false }
1
car lui, Maso, en depit de son faux air de dieu antique, en depit de sa force, en depit de sa barbe, n'etait qu'un grand enfant .
5
[ "11348", "6481", "34557", "11185", "34639", "35069", "32806", "25638", "2657", "36480", "4658", "32843" ]
because he person although incorrect God ancient strength beard be large boy
gutenberg.json:train:84
{ "do_rag": false, "do_eval": false }
1
Allons voir si la maitresse a pense a nous .
3
[ "35093", "28673", "28359", "2456", "38796", "7185" ]
go see if teacher think us
gutenberg.json:train:85
{ "do_rag": false, "do_eval": false }
1
Le repas termine, les vendangeurs se separerent, et chacun d'eux chercha un bon petit coin a l'ombre pour y faire la sieste .
5
[ "28669", "28429", "9839", "9043", "25776", "9839", "7116", "37246", "31851", "4716", "5375", "6649", "28426", "9839" ]
lunch finish past harvest isolate past people find nice small there shadow nap past
gutenberg.json:train:86
{ "do_rag": false, "do_eval": false }
1
Nino dormait du sommeil de l'innocence, dans une corbeille, a l'ombre .
3
[ "32843", "2369", "9839", "26909", "7034", "3012", "6649" ]
boy sleep past ingenuous in basket shadow
gutenberg.json:train:87
{ "do_rag": false, "do_eval": false }
1
Desormais il fallait y renoncer .
3
[ "13080", "37160", "21328" ]
after need abandon
gutenberg.json:train:88
{ "do_rag": false, "do_eval": false }
1
Le second vainqueur s'attaqua a la barbe, aux levres, aux yeux, aux sourcils du vaincu, et revint finalement a son chapeau .
2
[ "37748", "11271", "36045", "2657", "2953", "2876", "3011", "32065", "11399", "6630", "10216", "2572" ]
second winner attack beard lips eyes eyebrow victim and return last hat
gutenberg.json:train:90
{ "do_rag": false, "do_eval": false }
1
Il a fait une chose defendue !
2
[ "6480", "38914", "11318", "32366", "3417" ]
he activity things forbid !
gutenberg.json:train:91
{ "do_rag": false, "do_eval": false }
1
repliqua Stella avec un serieux tout a fait bouffon .
5
[ "10176", "10361", "7064", "8690", "25708", "26705" ]
answer woman with serious very make_fun_of
gutenberg.json:train:92
{ "do_rag": false, "do_eval": false }
1
Vois plutot!" Nono, tout penaud, tenait dans le pan de sa chemisette relevee deux grosses grappes et la branche tout entiere, qui trainait derriere lui .
3
[ "6564", "17056", "34558", "8707", "34186", "3281", "24836", "13642", "4890", "4658", "3247", "34179", "5455", "5443", "6481" ]
see other person shy grab frame raise blouse 2 large grapes liana complete behind he
gutenberg.json:train:94
{ "do_rag": false, "do_eval": false }
1
on ne les voit pas, mais elles y sont
3
[ "7117", "26941", "7092", "6564", "11377", "4703", "9001", "5465" ]
people no those see but woman there_is be
gutenberg.json:train:95
{ "do_rag": false, "do_eval": false }
1
Venez tous les deux embrasser votre petit frere
3
[ "11708", "4890", "6062", "12283", "4716", "37967" ]
come 2 kiss your small brother
gutenberg.json:train:96
{ "do_rag": false, "do_eval": false }
1
apres cela allez-vous-en jouer, et ne nous ennuyez plus de vos querelles .
3
[ "13080", "7304", "8142", "35723", "34341", "31674", "37824", "5508", "12281", "37786" ]
after you go play no us bug more your conflict
gutenberg.json:train:97
{ "do_rag": false, "do_eval": false }
1
Les deux enfants embrasserent leur petit frere, et s'en allerent jouer chacun de son cote, emportant dans leurs petites cervelles chacun une idee fausse .
5
[ "4890", "31462", "6062", "4716", "37967", "8142", "35723", "9203", "9202", "36107", "2696", "35479", "34639" ]
2 children kiss small brother go play left right take_away brain have_an_idea incorrect
gutenberg.json:train:98
{ "do_rag": false, "do_eval": false }
1
Quant a Stella, elle se dit que la justice etait un vain mot, puisque l'on permettait a Nono ce qu'on lui avait formellement interdit a elle-meme .
5
[ "10361", "31847", "9839", "8612", "4767", "9837", "21012", "4665", "32366", "10361" ]
woman think past justice empty word allow man forbid woman
gutenberg.json:train:99
{ "do_rag": false, "do_eval": false }
1
Il avait si peu conscience d'avoir commis un crime, que, quand Stella l'avait si vertement tance, il apportait triomphalement la branche a sa maman pour lui faire plaisir .
5
[ "6481", "5546", "12319", "31900", "24053", "4703", "39090", "7279", "23371", "7224", "31148", "6892" ]
he few conscience crime when woman excited bring success branch mother make_happy
gutenberg.json:train:100
{ "do_rag": false, "do_eval": false }
1
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
[ "7813", "8662", "38144", "9829", "10139", "7029", "6060", "16659", "6060", "32366", "3293", "29839", "7813", "9843", "29959", "2497", "31148" ]
without think theoretical_framework future group she baby understand baby forbid touch nothing without ask advise father mother
gutenberg.json:train:101
{ "do_rag": false, "do_eval": false }
1
C'est une regle dont l'application ne demande point de grands efforts d'intelligence .
2
[ "34779", "17036", "26941", "4658", "22147", "8661" ]
rules use no large work think
gutenberg.json:train:102
{ "do_rag": false, "do_eval": false }
1
Pour une fois, M. Klipmann se laissa habiller decemment par Francoise, alla enterrer ce frere qui etait mort sans laisser un sou, prit le petit garcon par la main et l'emmena chez lui .
5
[ "29106", "4665", "21010", "2781", "4703", "31758", "34272", "37693", "10209", "17042", "32842", "39414", "16805", "6964", "12272" ]
moment man allow dress woman go dig_a_grave dead poor take boy grip arrive house his
gutenberg.json:train:103
{ "do_rag": false, "do_eval": false }
1
Prendre soin de lui, oui, certainement !
3
[ "16633", "4665", "5583", "21381" ]
care_for man yes correct
gutenberg.json:train:104
{ "do_rag": false, "do_eval": false }
1
Il etait laid, le pauvre-petit, mais il avait un sourire reellement agreable.) "Jamais dans le laboratoire!" reprit M. Klipmann en levant l'index de la main droite .
5
[ "4665", "5465", "4647", "10209", "4716", "11377", "7271", "31851", "5527", "8150", "36544", "4665", "36073", "7791", "9202", "9830" ]
man be ugly poor small but have nice never laboratory speak man raise forefinger right hands
gutenberg.json:train:105
{ "do_rag": false, "do_eval": false }
1
Le reste de la maison est a toi .
3
[ "27206", "6964", "12287" ]
remain house your
gutenberg.json:train:107
{ "do_rag": false, "do_eval": false }
1
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