task stringclasses 7
values | source stringclasses 31
values | foreign float64 0 0.81 | standard float64 0 0.78 | record_id int64 1 5k | ortho_text stringlengths 27 46.7k | prompt_lang stringclasses 3
values | non_standard float64 0 0.73 | ortho_reason stringclasses 2
values | similarity_x float64 0 0.97 | similarity_y float64 -0.14 0.74 | source_split stringclasses 2
values | text_preview stringlengths 27 240 | cluster_order int64 0 7 | cluster_similarity float64 0.08 0.99 | similarity_cluster stringclasses 8
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tool_use | michsethowusu/Code-170k-wolof | 0 | 0.730216 | 1 | Naka laa mëna jëlee element bi njëkk ci tuple ba noppi ma denc ko ci benn variable?
Soo bëggee génne élément bi njëkk ci tuple nga denc ko ci benn variable, mën nga jëfandikoo syntax indexing bi ci Python. Benn misaal a ngi nii:\n\n```python\nmy_tuple = (\"apple\", \"banana\", \"cherry\")\nfirst_element = my_tuple[0]\n... | wo | 0.206295 | both_systems | 0.020165 | 0.089172 | train | Naka laa mëna jëlee element bi njëkk ci tuple ba noppi ma denc ko ci benn variable? Soo bëggee génne élément bi njëkk ci tuple nga denc ko ci benn variable, mën nga jëfandikoo syntax indexing bi ci Python. Benn misaal a ngi nii:\n\n```pytho | 0 | 0.851517 | Cluster 1 (n=1,385) |
translation | sudoping01/english-wolof-translation | 0 | 0.290789 | 2 | Traduis ce texte en wolof : Fastest way to kill your enemy.
anam wu gëna gaaw ngir ray sa noon. | fr | 0 | ambiguous | 0.038294 | 0.318725 | train | Traduis ce texte en wolof : Fastest way to kill your enemy. anam wu gëna gaaw ngir ray sa noon. | 3 | 0.87483 | Cluster 4 (n=614) |
classification | michsethowusu/wolof-emotions-corpus | 0.157143 | 0.598482 | 3 | Wan yëg-yëg la kàddu gii wund? estaan muy al rate pars parti- ,
neutral | wo | 0 | ambiguous | 0.695066 | -0.097009 | train | Wan yëg-yëg la kàddu gii wund? estaan muy al rate pars parti- , neutral | 5 | 0.983913 | Cluster 6 (n=501) |
tool_use | michsethowusu/Code-170k-wolof | 0.00873 | 0.717857 | 4 | Buñu sukkandikoo ci leeral yiñ joxe, Daara bu njëkk bu Oakwood amna 100 ndongo, muy 20% ci ndongo yi ci daara ju mag ji ci GreenHill. Bu ñu jàppee ni amul benn coppite bu am solo ci bind yi, ndax IA mën na xayma limu ndonngo yi ci daara bu mag bu GreenHill bi?
Ngir xayma limu ndonngo yi ci Daara bu mag bu GreenHill, më... | wo | 0.220238 | both_systems | 0.018533 | 0.072983 | train | Buñu sukkandikoo ci leeral yiñ joxe, Daara bu njëkk bu Oakwood amna 100 ndongo, muy 20% ci ndongo yi ci daara ju mag ji ci GreenHill. Bu ñu jàppee ni amul benn coppite bu am solo ci bind yi, ndax IA mën na xayma limu ndonngo yi ci daara bu | 0 | 0.825153 | Cluster 1 (n=1,385) |
instruction | m-a-d-i/wori-wolof-instructions | 0 | 0.765455 | 5 | Ban xeetu njiit lañuy jur jafe-jafe?
Kaadar yi am màndarga yu mag te jàppandi ci bërëb yooyule mënes nañoo am ñaari jafe jafe, am na yoo xam ne mën nañoo nekk yu nu toppandoo defar leen, te yu nu jëlee bitim réew dëgg mën nañoo gëna seer yi nuy jaaye ci biir réew mi. | wo | 0.205 | both_systems | 0.017288 | 0.069553 | train | Ban xeetu njiit lañuy jur jafe-jafe? Kaadar yi am màndarga yu mag te jàppandi ci bërëb yooyule mënes nañoo am ñaari jafe jafe, am na yoo xam ne mën nañoo nekk yu nu toppandoo defar leen, te yu nu jëlee bitim réew dëgg mën nañoo gëna seer yi | 0 | 0.612072 | Cluster 1 (n=1,385) |
classification | michsethowusu/wolof-emotions-corpus | 0 | 0.313958 | 6 | Quelle émotion exprime ce texte : (Njëfandikoowaatu bii dencukaay)
neutral | fr | 0 | ambiguous | 0.093863 | 0.313061 | train | Quelle émotion exprime ce texte : (Njëfandikoowaatu bii dencukaay) neutral | 6 | 0.984579 | Cluster 7 (n=216) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0.11 | 0.595 | 7 | Traduis en wolof : Quels chevaux voulais-tu et lequel as-tu pris ?
Yan fas ŋga bëggoon ak wan ŋga japp ? | fr | 0.19 | both_systems | 0.059121 | 0.140313 | train | Traduis en wolof : Quels chevaux voulais-tu et lequel as-tu pris ? Yan fas ŋga bëggoon ak wan ŋga japp ? | 2 | 0.513987 | Cluster 3 (n=630) |
instruction | bilalfaye/wolof-sft | 0.024859 | 0.727119 | 8 | Defar personage bu bawoo ci benn téere wala filmu bu ànd ak màndarga yiñ jox.
Am xel, dëggu, moom boppam
Personage bi ma nara defar ci màndarga yiñ jox mooy Jade. Jigéen la ju am 25 at, ñu xamee ko ci xel mu ñaw, màgg ci dëkk bu metti, mu daan yéem ci xel mu gaaw mi ak xam-xamam ci saafara jafe-jafe ngir mëna dundu. D... | wo | 0.209746 | both_systems | 0.029879 | 0.100497 | train | Defar personage bu bawoo ci benn téere wala filmu bu ànd ak màndarga yiñ jox. Am xel, dëggu, moom boppam Personage bi ma nara defar ci màndarga yiñ jox mooy Jade. Jigéen la ju am 25 at, ñu xamee ko ci xel mu ñaw, màgg ci dëkk bu metti, mu d | 0 | 0.750766 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.44 | 0.295 | 9 | Donne la traduction en français de : / Gaawal. Leegi famiy lañu.
- On est une famille maintenant. | fr | 0 | ambiguous | 0.05189 | 0.238075 | train | Donne la traduction en français de : / Gaawal. Leegi famiy lañu. - On est une famille maintenant. | 4 | 0.738669 | Cluster 5 (n=526) |
translation | galsenai/centralized_wolof_french_translation_data | 0.379412 | 0.005625 | 10 | Donne la traduction en français de : Maa ngi jàppale rek.
Je suis juste en train d'aider. | fr | 0 | ambiguous | 0.070488 | 0.279593 | train | Donne la traduction en français de : Maa ngi jàppale rek. Je suis juste en train d'aider. | 4 | 0.686317 | Cluster 5 (n=526) |
tool_use | michsethowusu/Code-170k-wolof | 0 | 0.744595 | 11 | Naka laa mëna defaree ay API REST ngir mëna jëfandikoo ay done ci base de done MongoDB ak seetee ci done yu jëm ci done yi?
Li ci njëkk mooy nga indi bibliotek pymongo ngir jëflante ak MongoDB. Ginaaw loolu nga taxawal lëkkaloo ak sa base de done MongoDB ci jëfandikoo buum bu lëkkaloo. Ci misaal bii, danuy boole ci ben... | wo | 0.206757 | both_systems | 0.031668 | 0.106168 | train | Naka laa mëna defaree ay API REST ngir mëna jëfandikoo ay done ci base de done MongoDB ak seetee ci done yu jëm ci done yi? Li ci njëkk mooy nga indi bibliotek pymongo ngir jëflante ak MongoDB. Ginaaw loolu nga taxawal lëkkaloo ak sa base d | 0 | 0.824523 | Cluster 1 (n=1,385) |
classification | michsethowusu/wolof-emotions-corpus | 0.183333 | 0.6375 | 12 | Wan yëg-yëg la kàddu gii wund? xech xam kuymasangiz xam,
disgust | wo | 0.2 | both_systems | 0.855524 | -0.119799 | train | Wan yëg-yëg la kàddu gii wund? xech xam kuymasangiz xam, disgust | 5 | 0.912074 | Cluster 6 (n=501) |
qa | alexandrainst/multi-wiki-qa | 0.033033 | 0.710811 | 13 | Jàngal mbind mii, tontul laaj bi ak baat yi nekk ci mbind mi.
Imbratóor gu Songaay :
Ci juroom ñaareelu xarnu g.j., la askanu Songaay wi dëkkoon ci tefesug dex gu Nijeer gi taxawaloon ag nguur gog péeyam moo nekkoon Gaawo. Mali nag moo tegoon loxo askanu Songaay wi ci xarnub fukk ak ñatt g.j., waaye ñoom jotaatoon na... | wo | 0.204279 | both_systems | 0.046804 | 0.084687 | train | Jàngal mbind mii, tontul laaj bi ak baat yi nekk ci mbind mi. Imbratóor gu Songaay : Ci juroom ñaareelu xarnu g.j., la askanu Songaay wi dëkkoon ci tefesug dex gu Nijeer gi taxawaloon ag nguur gog péeyam moo nekkoon Gaawo. Mali nag moo tego | 1 | 0.470421 | Cluster 2 (n=1,070) |
tool_use | michsethowusu/Code-170k-wolof | 0 | 0.717647 | 14 | Naka laa mëna defaree benn reso neuronal bu yomb ci Pytorch ngir tànnal ay sifit yuñ bind loxo?
Mën nga sos reso neuronal bu njëkk ci Pytorch ci jëfandikoo kode bii:\n\n```python\nimport torch\nimport torchvision\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nclass SimpleNeuralNetwork(nn.Module):\n def _... | wo | 0.370761 | both_systems | 0.017924 | 0.081767 | train | Naka laa mëna defaree benn reso neuronal bu yomb ci Pytorch ngir tànnal ay sifit yuñ bind loxo? Mën nga sos reso neuronal bu njëkk ci Pytorch ci jëfandikoo kode bii:\n\n```python\nimport torch\nimport torchvision\nimport torch.nn as nn\nimp | 0 | 0.878845 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.314286 | 0.296429 | 15 | Donne la traduction en wolof de : Je t'aime aussi.
Man itam bëgg naala. | fr | 0 | ambiguous | 0.06799 | 0.270881 | train | Donne la traduction en wolof de : Je t'aime aussi. Man itam bëgg naala. | 4 | 0.851727 | Cluster 5 (n=526) |
translation | MaroneAI/Wolof-to-French_Translation-Dataset | 0.293333 | 0.295 | 16 | Donne la traduction en wolof de : il vend de la friperie.
Dafay jaay fëgg-jaay | fr | 0 | ambiguous | 0.074088 | 0.276015 | train | Donne la traduction en wolof de : il vend de la friperie. Dafay jaay fëgg-jaay | 4 | 0.852398 | Cluster 5 (n=526) |
tool_use | michsethowusu/Code-170k-wolof | 0.00534 | 0.713835 | 17 | Nan laa mëna defaree prograamu TensorFlow ngir xam njëg yi ci njëg yi lalu ci done yu am solo?
Wóor! Benn misaalu kode la buy wane ni ñuy defee loolu di jëfandikoo TensorFlow ak LSTM (Mumory bu gàtt-Term):\n\n```python\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport tensorflow as tf\nf... | wo | 0.537015 | both_systems | 0.015885 | 0.063664 | train | Nan laa mëna defaree prograamu TensorFlow ngir xam njëg yi ci njëg yi lalu ci done yu am solo? Wóor! Benn misaalu kode la buy wane ni ñuy defee loolu di jëfandikoo TensorFlow ak LSTM (Mumory bu gàtt-Term):\n\n```python\nimport numpy as np\n | 0 | 0.50471 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.146667 | 0.606875 | 18 | Traduis ce texte en français : Juróom ñeent, juróom ñatti..
Neuf, huit... Je suis à vous. | fr | 0 | ambiguous | 0.055399 | 0.359456 | train | Traduis ce texte en français : Juróom ñeent, juróom ñatti.. Neuf, huit... Je suis à vous. | 7 | 0.80571 | Cluster 8 (n=58) |
translation | sudoping01/english-wolof-translation | 0 | 0 | 19 | Traduis en wolof : Please confirm Free Castle is a go.
Baalnu nga firndeel ni Free Castle demna. | fr | 0.035294 | ambiguous | 0.019658 | 0.15825 | train | Traduis en wolof : Please confirm Free Castle is a go. Baalnu nga firndeel ni Free Castle demna. | 2 | 0.844688 | Cluster 3 (n=630) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0.2 | 0.588084 | 20 | Traduis ce texte en français : Sutopo, portaparoolu boobule mbootaay boobu di taxawoo musiiba rëëw ma, neena ofisiye yu Endonesi ñungi doon cammbar mbir mi ngir xool ndak ay mbootaay yu bittim rëëw dinañu am ndigal bokk ci ndimmbal li.
Le porte-parole de l’agence nationale de gestion des catastrophes, M. Sutopo, a indi... | fr | 0.180844 | both_systems | 0.060713 | 0.304101 | train | Traduis ce texte en français : Sutopo, portaparoolu boobule mbootaay boobu di taxawoo musiiba rëëw ma, neena ofisiye yu Endonesi ñungi doon cammbar mbir mi ngir xool ndak ay mbootaay yu bittim rëëw dinañu am ndigal bokk ci ndimmbal li. Le p | 3 | 0.677474 | Cluster 4 (n=614) |
translation | sudoping01/english-wolof-translation | 0.129412 | 0.298272 | 21 | Donne la traduction en anglais de : Lépp lañu wara fay nit kii.
We owe this man everything. | fr | 0 | ambiguous | 0.04512 | 0.185139 | train | Donne la traduction en anglais de : Lépp lañu wara fay nit kii. We owe this man everything. | 4 | 0.783561 | Cluster 5 (n=526) |
tool_use | michsethowusu/Code-170k-wolof | 0.010015 | 0.723217 | 22 | Amnaa benn xeetu ActiveRord bu yomb bu tuddu ```ruby\nObjectSpace.each_object(ActiveRecord::Base).count\n# => 0\n\nx = Student.all\n\nObjectSpace.each_object(ActiveRecord::Base).count\n# => 100\n\nx = nil\nGC.start\n\nObjectSpace.each_object(ActiveRecord::Base).count\n# => 0 # Good!\n``` ak 100 dokimaa ci tablo bi.... | wo | 0.200266 | both_systems | 0.029109 | 0.121863 | train | Amnaa benn xeetu ActiveRord bu yomb bu tuddu ```ruby\nObjectSpace.each_object(ActiveRecord::Base).count\n# => 0\n\nx = Student.all\n\nObjectSpace.each_object(ActiveRecord::Base).count\n# => 100\n\nx = nil\nGC.start\n\nObjectSpace.each_objec | 0 | 0.907655 | Cluster 1 (n=1,385) |
translation | sudoping01/english-wolof-translation | 0.070968 | 0.559677 | 23 | Traduis en anglais : Du wuute noonu ak episod bimu amoon balaa nuy ñëw fii.
It wouldn't be that different from the episode that he had before we came up here. | fr | 0.004839 | ambiguous | 0.018177 | 0.125968 | train | Traduis en anglais : Du wuute noonu ak episod bimu amoon balaa nuy ñëw fii. It wouldn't be that different from the episode that he had before we came up here. | 2 | 0.613037 | Cluster 3 (n=630) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0.33 | 0.6025 | 24 | Donne la traduction en wolof de : Il a passé la journée à aller çà et là.
Dafa yendoo tuñ-tuñi. | fr | 0 | ambiguous | 0.07603 | 0.282258 | train | Donne la traduction en wolof de : Il a passé la journée à aller çà et là. Dafa yendoo tuñ-tuñi. | 4 | 0.837134 | Cluster 5 (n=526) |
translation | galsenai/centralized_wolof_french_translation_data | 0.419231 | 0.005625 | 25 | Traduis ce texte en wolof : Il y a un problème.
Amna jafe-jafe. | fr | 0 | ambiguous | 0.049147 | 0.424643 | train | Traduis ce texte en wolof : Il y a un problème. Amna jafe-jafe. | 3 | 0.771071 | Cluster 4 (n=614) |
translation | bilalfaye/english-wolof-french-dataset | 0 | 0 | 26 | Tekkil mbind mii ci wolof: if I hadn't been there I would have died
Suma fa nekkoon damaa dee | wo | 0.03 | ambiguous | 0.011272 | 0.065683 | train | Tekkil mbind mii ci wolof: if I hadn't been there I would have died Suma fa nekkoon damaa dee | 1 | 0.509163 | Cluster 2 (n=1,070) |
tool_use | michsethowusu/Code-170k-wolof | 0.006111 | 0.721667 | 27 | Def naa benn fonction bu ndaw bu tuddu ```go\nfunc await(awaitable js.Value) (ret js.Value, ok bool) {\n if awaitable.Type() != js.TypeObject || awaitable.Get(\"then\").Type() != js.TypeFunction {\n return awaitable, true\n }\n done := make(chan struct{})\n\n onResolve := js.FuncOf(func(this js.Value... | wo | 0.193333 | both_systems | 0.027991 | 0.114834 | train | Def naa benn fonction bu ndaw bu tuddu ```go\nfunc await(awaitable js.Value) (ret js.Value, ok bool) {\n if awaitable.Type() != js.TypeObject || awaitable.Get(\"then\").Type() != js.TypeFunction {\n return awaitable, true\n }\n done := make | 0 | 0.915809 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0 | 0.005625 | 28 | Traduis en wolof : Johnson sentait qu' il n' avait aucun soutien
Johnson dafa jàpp ni amul benn ndimbal | fr | 0.033333 | ambiguous | 0.021242 | 0.162896 | train | Traduis en wolof : Johnson sentait qu' il n' avait aucun soutien Johnson dafa jàpp ni amul benn ndimbal | 2 | 0.517948 | Cluster 3 (n=630) |
translation | galsenai/centralized_wolof_french_translation_data | 0.4 | 0.307898 | 29 | Traduis en wolof : Un peu plus ingénieux.
Dafa gëna am xel. | fr | 0 | ambiguous | 0.024428 | 0.184375 | train | Traduis en wolof : Un peu plus ingénieux. Dafa gëna am xel. | 2 | 0.624644 | Cluster 3 (n=630) |
instruction | ngia/alpaca-data-in-wolof | 0 | 0.758475 | 30 | Leeral ni ñu mëna jëfandikoo IA ci waajal xaalis.
IA mën na soppi waajal xaalis ci anam yu bari te wuute. Yenn ci anam yu am solo yi IA mëna jaar ngir gëna mëna waajal xaalis ñooy:\n\n 1. Personalisasioŋ ci palaŋu xaalis: Ak ndimbalu IA, mën nañu defar ay palaŋu xaalis yuñ personaalise bu sukkandiko ci xaalis bi nit ñi... | wo | 0.376695 | both_systems | 0.022319 | 0.099525 | train | Leeral ni ñu mëna jëfandikoo IA ci waajal xaalis. IA mën na soppi waajal xaalis ci anam yu bari te wuute. Yenn ci anam yu am solo yi IA mëna jaar ngir gëna mëna waajal xaalis ñooy:\n\n 1. Personalisasioŋ ci palaŋu xaalis: Ak ndimbalu IA, më | 0 | 0.619029 | Cluster 1 (n=1,385) |
tool_use | michsethowusu/Code-170k-wolof | 0.015331 | 0.732404 | 31 | Lan mooy mébetu DMatrix ci XGBoost, ak naka lay wuutalee ak Pandas Dataframe?
DMatrix ab jumtukaayu done bu yam la bu algorithm XGBoost di jëfandikoo. Ñu ngi ko jagleel ngir mëna am njariñ ak gaawaayu tàggat yaram. DMatrix mën nañu ko tabax ci balluwaay yu bari yu wuute.\n\nDifference bi gëna mag bi am ci digganté DMat... | wo | 0.199564 | both_systems | 0.029259 | 0.110777 | train | Lan mooy mébetu DMatrix ci XGBoost, ak naka lay wuutalee ak Pandas Dataframe? DMatrix ab jumtukaayu done bu yam la bu algorithm XGBoost di jëfandikoo. Ñu ngi ko jagleel ngir mëna am njariñ ak gaawaayu tàggat yaram. DMatrix mën nañu ko tabax | 0 | 0.847732 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.407143 | 0.01125 | 32 | Traduis ce texte en wolof : Je suis un multitâche.
Man ku bari liggéey laa. | fr | 0 | ambiguous | 0.074884 | 0.46013 | train | Traduis ce texte en wolof : Je suis un multitâche. Man ku bari liggéey laa. | 7 | 0.827361 | Cluster 8 (n=58) |
tool_use | michsethowusu/Code-170k-wolof | 0.005164 | 0.726056 | 33 | Dama wara bind prograamu Python bu mëna def ay exception ci anam wu amul njeexital ci fonctionnalité prograam bi. Ci anam wu gëna jubal, dama bëgga jàpp njuumte "Division ci zero" ak itam jëfandikoo erreur ak Value. Rax ci dolli, dama bëgga jëfandikoo mekanismu logging ngir mëna topp li ñu def. Ndax mën nga joxe misaal... | wo | 0.199648 | both_systems | 0.023645 | 0.103863 | train | Dama wara bind prograamu Python bu mëna def ay exception ci anam wu amul njeexital ci fonctionnalité prograam bi. Ci anam wu gëna jubal, dama bëgga jàpp njuumte "Division ci zero" ak itam jëfandikoo erreur ak Value. Rax ci dolli, dama bëgga | 0 | 0.919785 | Cluster 1 (n=1,385) |
classification | michsethowusu/wolof-emotions-corpus | 0.517647 | 0.602169 | 34 | Wan yëg-yëg la kàddu gii wund? - Les enjeux de la pénalisation de la vie économique -
anger | wo | 0 | ambiguous | 0.587271 | -0.038324 | train | Wan yëg-yëg la kàddu gii wund? - Les enjeux de la pénalisation de la vie économique - anger | 5 | 0.804476 | Cluster 6 (n=501) |
classification | michsethowusu/wolof-sentiments-corpus | 0.129412 | 0.005625 | 35 | Wan xalaat la (baax / bon / digg-dóomu)? mana ko AaMgana maoM BaI ek dIp jalaayaa jaayao.
Positive | wo | 0.035294 | ambiguous | 0.074268 | 0.017197 | train | Wan xalaat la (baax / bon / digg-dóomu)? mana ko AaMgana maoM BaI ek dIp jalaayaa jaayao. Positive | 1 | 0.146354 | Cluster 2 (n=1,070) |
tool_use | michsethowusu/Code-170k-wolof | 0 | 0.72129 | 36 | Amnaa .dll buñ tabax ci C++/CLI ak .NET, ñu tegal ma ci aplikaasioŋu .NET. API amna ay wrapper yu jëfandikoo xeetu jëfandikoo, moo tax mu nekk doomu réew mi. Maa ngi dugal .dll ba noppi yokk benn fonction ci sama kodu C# jëfandikoo màndarga ```csharp\n[DllImport(@\"maplib.dll\")]\npublic static extern bool initialize(s... | wo | 0.19871 | both_systems | 0.02232 | 0.096498 | train | Amnaa .dll buñ tabax ci C++/CLI ak .NET, ñu tegal ma ci aplikaasioŋu .NET. API amna ay wrapper yu jëfandikoo xeetu jëfandikoo, moo tax mu nekk doomu réew mi. Maa ngi dugal .dll ba noppi yokk benn fonction ci sama kodu C# jëfandikoo màndarga | 0 | 0.903935 | Cluster 1 (n=1,385) |
translation | sudoping01/english-wolof-translation | 0 | 0.005625 | 37 | Tekkil mbind mii ci wolof: We will never see my father again
Dunu musa gisati sama pàppa | wo | 0.035294 | ambiguous | 0.011837 | 0.062202 | train | Tekkil mbind mii ci wolof: We will never see my father again Dunu musa gisati sama pàppa | 1 | 0.444525 | Cluster 2 (n=1,070) |
tool_use | michsethowusu/Code-170k-wolof | 0.016517 | 0.727928 | 38 | Lan laa mëna def ngir gëna mëna jëfandikoo Node.js Express ngir gaawaay ak scalability?
Ngir gëna mëna jëfandikoo Node.js Express ngir gaawaay ak scalability, mën nga topp jéego yii:\n\n1. Jëfandikool paketu 'express' ngir sosal sa aplikaasioŋ ak jëfandikoo yoon wi. Benn misaal la buy wane ni ñuy defaree aplikaasioŋu E... | wo | 0.190541 | both_systems | 0.025248 | 0.096995 | train | Lan laa mëna def ngir gëna mëna jëfandikoo Node.js Express ngir gaawaay ak scalability? Ngir gëna mëna jëfandikoo Node.js Express ngir gaawaay ak scalability, mën nga topp jéego yii:\n\n1. Jëfandikool paketu 'express' ngir sosal sa aplikaas | 0 | 0.820031 | Cluster 1 (n=1,385) |
translation | sudoping01/english-wolof-translation | 0.122222 | 0.291667 | 39 | Donne la traduction en anglais de : Yaakaar nañu ni daan ngeen.
You guys really think you've won. | fr | 0 | ambiguous | 0.041913 | 0.173984 | train | Donne la traduction en anglais de : Yaakaar nañu ni daan ngeen. You guys really think you've won. | 4 | 0.724018 | Cluster 5 (n=526) |
classification | michsethowusu/wolof-sentiments-corpus | 0.264 | 0.591625 | 40 | Quel est le sentiment (positif / négatif / neutre) : baay-tëx b-: sa jëkkëru yaay ji nekkul sa baay ji la jur mooy sa baay-tëx.
Positive | fr | 0 | ambiguous | 0.02433 | 0.046218 | train | Quel est le sentiment (positif / négatif / neutre) : baay-tëx b-: sa jëkkëru yaay ji nekkul sa baay ji la jur mooy sa baay-tëx. Positive | 1 | 0.241037 | Cluster 2 (n=1,070) |
translation | galsenai/centralized_wolof_french_translation_data | 0.212903 | 0.606855 | 41 | Firi lii ci farañse: Ndax xam nga ni M. Sly Wheaton amna luko mëna gàllankoor ci guddi gi?
Saviez-vous que M. Whizzer Wheaton a eu un revers malheureux ce soir? | wo | 0.199194 | both_systems | 0.02048 | 0.102398 | train | Firi lii ci farañse: Ndax xam nga ni M. Sly Wheaton amna luko mëna gàllankoor ci guddi gi? Saviez-vous que M. Whizzer Wheaton a eu un revers malheureux ce soir? | 1 | 0.48397 | Cluster 2 (n=1,070) |
classification | michsethowusu/wolof-emotions-corpus | 0.338462 | 0.601779 | 42 | Wan yëg-yëg la kàddu gii wund? Testicules: auto examen des testicules
surprise | wo | 0 | ambiguous | 0.766968 | -0.110084 | train | Wan yëg-yëg la kàddu gii wund? Testicules: auto examen des testicules surprise | 5 | 0.954249 | Cluster 6 (n=501) |
tool_use | michsethowusu/Code-170k-wolof | 0.007213 | 0.727541 | 43 | Nan laa mëna defaree script shell Linux ngir jëfandikoo sitweb buy jëfandikoo git?
Wóor! Lii ab script sangu la buy otomatise ci anamu jëfandikoo sitweb bi jëfandikoo git:\n\n```bash\n#!/bin/bash\n\n# Check if git is installed\nif ! [ -x \"$(command -v git)\" ]; then\n echo 'Error: git is not installed.' >&2\n exit 1... | wo | 0.19418 | both_systems | 0.020889 | 0.082148 | train | Nan laa mëna defaree script shell Linux ngir jëfandikoo sitweb buy jëfandikoo git? Wóor! Lii ab script sangu la buy otomatise ci anamu jëfandikoo sitweb bi jëfandikoo git:\n\n```bash\n#!/bin/bash\n\n# Check if git is installed\nif ! [ -x \" | 0 | 0.833477 | Cluster 1 (n=1,385) |
translation | galsenai/english-wolof-smol-translation | 0 | 0.01125 | 44 | Tekkil mbind mii ci àngale: Ngeen bàyyi toog di jooy.
Don't just sit around and cry about it. | wo | 0.031579 | ambiguous | 0.010293 | 0.046417 | train | Tekkil mbind mii ci àngale: Ngeen bàyyi toog di jooy. Don't just sit around and cry about it. | 1 | 0.431564 | Cluster 2 (n=1,070) |
translation | dofbi/jolof | 0 | 0.005625 | 45 | Traduis ce texte en wolof : être torve (œil)
mball | fr | 0 | ambiguous | 0.067946 | 0.620762 | train | Traduis ce texte en wolof : être torve (œil) mball | 3 | 0.884707 | Cluster 4 (n=614) |
tool_use | michsethowusu/Code-170k-wolof | 0.014058 | 0.720128 | 46 | Xamuma lu jaarul yoon ci kode bii. Fimna nii maa ngi koy doxal ci PHP Mydmin. Ndax amna ku ma mëna jàppale ma xam mbir mi? Jërëjëf.\n\n```sql\nINSERT INTO order (CustomerID, BillAddr, ShipAddr, Date, Total) \nVALUES ('test', 'test', 'test', '2012-07-02', 22)\n```\n\nMaa ngi am njuumte bii di topp:\n\n```\nMySQL said:... | wo | 0.19369 | both_systems | 0.032156 | 0.09566 | train | Xamuma lu jaarul yoon ci kode bii. Fimna nii maa ngi koy doxal ci PHP Mydmin. Ndax amna ku ma mëna jàppale ma xam mbir mi? Jërëjëf.\n\n```sql\nINSERT INTO order (CustomerID, BillAddr, ShipAddr, Date, Total) \nVALUES ('test', 'test', 'test', | 0 | 0.842115 | Cluster 1 (n=1,385) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0.457426 | 0.30047 | 47 | Donne la traduction en français de : Léegi kat loraangee ngi nuy yoot, te du yem ci xañ nu sunu liggéey rekk, waaye it dina daaneel màggalukaayu Artemis sunu yàlla ju mag ji, tey neenal ndamam, moom mi Asi gépp te àddina sépp di màggal.»
Le danger qui en résulte, ce n`est pas seulement que notre industrie ne tombe en d... | fr | 0.004455 | ambiguous | 0.058371 | 0.21546 | train | Donne la traduction en français de : Léegi kat loraangee ngi nuy yoot, te du yem ci xañ nu sunu liggéey rekk, waaye it dina daaneel màggalukaayu Artemis sunu yàlla ju mag ji, tey neenal ndamam, moom mi Asi gépp te àddina sépp di màggal.» Le | 1 | 0.50389 | Cluster 2 (n=1,070) |
translation | MaroneAI/Wolof-to-French_Translation-Dataset | 0.3 | 0.294261 | 48 | Traduis ce texte en français : Lu la sa borom-kër wax ?
Celui qui se lève avant le chef de famille se recouchera. | fr | 0.006818 | ambiguous | 0.059303 | 0.343275 | train | Traduis ce texte en français : Lu la sa borom-kër wax ? Celui qui se lève avant le chef de famille se recouchera. | 3 | 0.794037 | Cluster 4 (n=614) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0 | 0.005625 | 49 | Traduis ce texte en wolof : Il a vomi ce qu'il avait mangé.
Tiisu na li mu lekkoon. | fr | 0.033333 | ambiguous | 0.04363 | 0.360231 | train | Traduis ce texte en wolof : Il a vomi ce qu'il avait mangé. Tiisu na li mu lekkoon. | 3 | 0.617748 | Cluster 4 (n=614) |
translation | MaroneAI/Wolof-to-French_Translation-Dataset | 0.22 | 0.611875 | 50 | Traduis ce texte en français : Waxtaan ŋga ag ñépp gannaaw nooñii.
Tu as discuté avec tous sauf avec ceux-là. | fr | 0 | ambiguous | 0.037505 | 0.28936 | train | Traduis ce texte en français : Waxtaan ŋga ag ñépp gannaaw nooñii. Tu as discuté avec tous sauf avec ceux-là. | 3 | 0.705937 | Cluster 4 (n=614) |
translation | galsenai/centralized_wolof_french_translation_data | 0.323529 | 0.306324 | 51 | Firi lii ci wolof: J'espérais que tu pleurerais dans ton sommeil, pour que je puisse te déchirer la tête.
Yaakaar naa ni dinga jooy sooy nelaw, suko defee ma mëna màtt sa bopp. | wo | 0.004412 | ambiguous | 0.039364 | 0.104174 | train | Firi lii ci wolof: J'espérais que tu pleurerais dans ton sommeil, pour que je puisse te déchirer la tête. Yaakaar naa ni dinga jooy sooy nelaw, suko defee ma mëna màtt sa bopp. | 1 | 0.459183 | Cluster 2 (n=1,070) |
classification | michsethowusu/wolof-emotions-corpus | 0.258824 | 0.590919 | 52 | Wan yëg-yëg la kàddu gii wund? lo note solo de lo aburrida que estoy jajaajjaajjajaj
neutral | wo | 0.175 | both_systems | 0.65808 | -0.067403 | train | Wan yëg-yëg la kàddu gii wund? lo note solo de lo aburrida que estoy jajaajjaajjajaj neutral | 5 | 0.958009 | Cluster 6 (n=501) |
instruction | bilalfaye/wolof-sft | 0.021569 | 0.726471 | 53 | Bindaat paragraf biñ la jox, nga dindi kàddu yu bari te gëna gàtt.
Soo bëggee dëggu, ngir xam, daa melni, ginaaw boo ko xalaatee ab diir, li am mooy mbir mi Dafa wara gaaw ci saafara jafe-jafe yi. Ci dëgg nak, ci jamono jii, war nanu bàyyi sunu xel ci saafara jafe-jafe yii sudee danu bëgga moytu jafe-jafe yu amul njar... | wo | 0.195588 | both_systems | 0.035093 | 0.076904 | train | Bindaat paragraf biñ la jox, nga dindi kàddu yu bari te gëna gàtt. Soo bëggee dëggu, ngir xam, daa melni, ginaaw boo ko xalaatee ab diir, li am mooy mbir mi Dafa wara gaaw ci saafara jafe-jafe yi. Ci dëgg nak, ci jamono jii, war nanu bàyyi | 0 | 0.721067 | Cluster 1 (n=1,385) |
tool_use | michsethowusu/Code-170k-wolof | 0 | 0.718892 | 54 | Maa ngi am jafe-jafe defar benn laaj ci sama CrudRepository. Amnaa ñaari mbootaay, CourseOffering ak Departemaa. Lii mooy kode bi am solo:\n\nCoursOffer.java:\n```java\npublic class CourseOffering implements Serializable {\n private Department department;\n\n @ManyToOne(fetch = FetchType.LAZY, optional = true)\n ... | wo | 0.718514 | both_systems | 0.020515 | 0.094181 | train | Maa ngi am jafe-jafe defar benn laaj ci sama CrudRepository. Amnaa ñaari mbootaay, CourseOffering ak Departemaa. Lii mooy kode bi am solo:\n\nCoursOffer.java:\n```java\npublic class CourseOffering implements Serializable {\n private Departm | 0 | 0.889238 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.255814 | 0.713953 | 55 | Tekkil mbind mii ci wolof: Le temps a été étudié par des érudits religieux, philosophiques et scientifiques pendant des milliers d'années.
Ñu bari amal nañu njàngat ci waxtu wi, muy kilifay diine, philosophe yi ak scientifique yi ci diir bu yàgg lool. | wo | 0.202907 | both_systems | 0.022608 | 0.097758 | train | Tekkil mbind mii ci wolof: Le temps a été étudié par des érudits religieux, philosophiques et scientifiques pendant des milliers d'années. Ñu bari amal nañu njàngat ci waxtu wi, muy kilifay diine, philosophe yi ak scientifique yi ci diir bu | 1 | 0.640934 | Cluster 2 (n=1,070) |
classification | michsethowusu/wolof-emotions-corpus | 0.169231 | 0.613029 | 56 | Wan yëg-yëg la kàddu gii wund? Sama yaay génn na àdduna.
sadness | wo | 0 | ambiguous | 0.700762 | -0.089079 | train | Wan yëg-yëg la kàddu gii wund? Sama yaay génn na àdduna. sadness | 5 | 0.957208 | Cluster 6 (n=501) |
translation | galsenai/centralized_wolof_french_translation_data | 0.081481 | 0.308611 | 57 | Traduis en français : Alexander dafa waroon dem ginaaw biñu siiwal nataalam yu ruslu yi.
M. Alexander a dû partir après que ses photos embarrassantes aient été publiées. | fr | 0.180556 | both_systems | 0.023272 | 0.177368 | train | Traduis en français : Alexander dafa waroon dem ginaaw biñu siiwal nataalam yu ruslu yi. M. Alexander a dû partir après que ses photos embarrassantes aient été publiées. | 2 | 0.726032 | Cluster 3 (n=630) |
tool_use | michsethowusu/Code-170k-wolof | 0 | 0.722973 | 58 | Maa ngi jéema gis adres bu mujj bi ci yenn fonction yi ci benn fichier ELF. Xamnaa ni mën naa am adresu ndoorte bu fonction yi jëfandikukat yi joxe, ci jàng tablo symbol bi, ni ñu ko wane ci suuf ngir fonction yi "main" ak "foo":\n\n```\n08048330 T _start\n0804a014 b completed.6159\n0804a00c W data_start\n0804a018 b dt... | wo | 0.202703 | both_systems | 0.020754 | 0.095815 | train | Maa ngi jéema gis adres bu mujj bi ci yenn fonction yi ci benn fichier ELF. Xamnaa ni mën naa am adresu ndoorte bu fonction yi jëfandikukat yi joxe, ci jàng tablo symbol bi, ni ñu ko wane ci suuf ngir fonction yi "main" ak "foo":\n\n```\n08 | 0 | 0.914568 | Cluster 1 (n=1,385) |
tool_use | michsethowusu/Code-170k-wolof | 0.010427 | 0.714218 | 59 | Ndax mën nga joxe kodu C# buy xayma ci diggante Fibonacci jëfandikoo algorithm buy dellu?
Ci lu wóor! Lii ab snippet bu C# la buy xayma li Fibonacci di jëfandikoo algorithm buy delloo ci anam wu bees:\n\n```csharp\npublic class Fibonacci\n{\n public int ComputeFibonacci(int n)\n {\n if (n == 0 || n == 1)\n... | wo | 0.54846 | both_systems | 0.021527 | 0.084832 | train | Ndax mën nga joxe kodu C# buy xayma ci diggante Fibonacci jëfandikoo algorithm buy dellu? Ci lu wóor! Lii ab snippet bu C# la buy xayma li Fibonacci di jëfandikoo algorithm buy delloo ci anam wu bees:\n\n```csharp\npublic class Fibonacci\n{ | 0 | 0.848399 | Cluster 1 (n=1,385) |
tool_use | michsethowusu/Code-170k-wolof | 0.016479 | 0.719101 | 60 | Naka laa mëna gisee permutaasioŋ bu string "ABC" di jëfandikoo recursion?
Mën nga ko def soo defee benn fonction recursif. Benn misaal a ngi nii di jëfandikoo Java:\n\n```java\npublic static void permutation(String str) {\n permutation(\"\", str); \n}\n\nprivate static void permutation(String prefix, String str) { ... | wo | 0.199719 | both_systems | 0.020669 | 0.09506 | train | Naka laa mëna gisee permutaasioŋ bu string "ABC" di jëfandikoo recursion? Mën nga ko def soo defee benn fonction recursif. Benn misaal a ngi nii di jëfandikoo Java:\n\n```java\npublic static void permutation(String str) {\n permutation(\"\" | 0 | 0.819101 | Cluster 1 (n=1,385) |
classification | michsethowusu/wolof-emotions-corpus | 0.157143 | 0.684196 | 61 | Wan yëg-yëg la kàddu gii wund? Ngëko ngi kë ñgal ngi pëwin.
neutral | wo | 0 | ambiguous | 0.914007 | -0.12268 | train | Wan yëg-yëg la kàddu gii wund? Ngëko ngi kë ñgal ngi pëwin. neutral | 5 | 0.97398 | Cluster 6 (n=501) |
tool_use | michsethowusu/Code-170k-wolof | 0.006377 | 0.737391 | 62 | Ci MIPS dajale, lan mooy njariñu jëfandikoo `addiu` ci barabu `addi`? Dama jaaxle ci ni `addiu` amul benn signa, te mën na am njeexital ci sunu xayma yi.
Dédeet, jëfandikoo `addiu` ci MIPS ensemble du yàq xayma yi. architecture MIPS dafay jëfandikoo architecture bu am ñaari yoon ngir liggéey yiñ siñe ak yiñ joxewul. Lo... | wo | 0.207174 | both_systems | 0.024953 | 0.112777 | train | Ci MIPS dajale, lan mooy njariñu jëfandikoo `addiu` ci barabu `addi`? Dama jaaxle ci ni `addiu` amul benn signa, te mën na am njeexital ci sunu xayma yi. Dédeet, jëfandikoo `addiu` ci MIPS ensemble du yàq xayma yi. architecture MIPS dafay j | 0 | 0.912785 | Cluster 1 (n=1,385) |
tool_use | michsethowusu/Code-170k-wolof | 0.024535 | 0.728996 | 63 | Naka laa mëna defaree xët web bu yomb ak benn formileer bu mëna dëggal dugal jëfandikukat ci HTML ak JavaScript?
Mën nga sos xëtu web bu njëkk bu am formileer bu jëfandikoo HTML ak JavaScript. Lii ab misaal la boo mëna jëfandikoo ngir tàmbali:\n\n```\n<html>\n <head>\n <title>Form Validation</title>\n <script>\n fun... | wo | 0.370074 | both_systems | 0.02423 | 0.087817 | train | Naka laa mëna defaree xët web bu yomb ak benn formileer bu mëna dëggal dugal jëfandikukat ci HTML ak JavaScript? Mën nga sos xëtu web bu njëkk bu am formileer bu jëfandikoo HTML ak JavaScript. Lii ab misaal la boo mëna jëfandikoo ngir tàmba | 0 | 0.718252 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.225641 | 0.595577 | 64 | Donne la traduction en wolof de : Ce nom était utilisé plus souvent, même quand il était inadéquat et qu'il fallait le changer.
Tur woowu dañu ko daan faral di jëfandikoo doonte daawul doy, te dañu ko wara soppi. | fr | 0 | ambiguous | 0.046145 | 0.201151 | train | Donne la traduction en wolof de : Ce nom était utilisé plus souvent, même quand il était inadéquat et qu'il fallait le changer. Tur woowu dañu ko daan faral di jëfandikoo doonte daawul doy, te dañu ko wara soppi. | 4 | 0.676243 | Cluster 5 (n=526) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0 | 0.005625 | 65 | Tekkil mbind mii ci wolof: J'ai vu tous vos amis en question !
Gis naa seeni xarit yooyu yépp ! | wo | 0.031579 | ambiguous | 0.017353 | 0.093116 | train | Tekkil mbind mii ci wolof: J'ai vu tous vos amis en question ! Gis naa seeni xarit yooyu yépp ! | 1 | 0.485458 | Cluster 2 (n=1,070) |
tool_use | michsethowusu/Code-170k-wolof | 0.019383 | 0.723789 | 66 | Amnaa ab serwiis buy daw buy am 50-100 laaj ci simili bu nekk. Laaj yooyu duñu bari ay jumtukaay. Lu tollu ci 3 ba 4 weer la liggéey bi di dox bu baax, te amul benn jafe-jafe.\n\nWaaye, fan yu néew ci ginaaw, ma tàmbali daje ak mesaasu njuumte "amna lu doy ci memory sistem ci piscine bu \'default\' ngir doxal bii." Nju... | wo | 0.375771 | both_systems | 0.030495 | 0.121017 | train | Amnaa ab serwiis buy daw buy am 50-100 laaj ci simili bu nekk. Laaj yooyu duñu bari ay jumtukaay. Lu tollu ci 3 ba 4 weer la liggéey bi di dox bu baax, te amul benn jafe-jafe.\n\nWaaye, fan yu néew ci ginaaw, ma tàmbali daje ak mesaasu njuu | 0 | 0.848065 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.366667 | 0.6175 | 67 | Traduis en français : Mën na xam xalaat yi kese, mën na jokkoo ak ñoom itam.
Non seulement il peut lire dans les pensées, mais il peut aussi communiquer avec eux. | fr | 0.19 | both_systems | 0.02606 | 0.166833 | train | Traduis en français : Mën na xam xalaat yi kese, mën na jokkoo ak ñoom itam. Non seulement il peut lire dans les pensées, mais il peut aussi communiquer avec eux. | 2 | 0.536733 | Cluster 3 (n=630) |
instruction | bilalfaye/wolof-sft | 0.015827 | 0.758273 | 68 | Xam ñatti màndarga yi lëppaalëpp monarch mëna am.
1. Laaf yu am melo oraŋ ak yu ñuul: Li ñuy xàmmee mooy lëppaalëpp Monarch yi ci seeni laaf yu am motif yu am sidit yu ñuul yu dëll ak ay tombi weex ci catu lëppaalëpp yi. Seeni laaf mën nañu tollu ci diggante 8.9–10.2 cm (31⁄2–4 pouce).\n\n 2. Migraasioŋ: Xam nañu lëppa... | wo | 0.203058 | both_systems | 0.033183 | 0.079913 | train | Xam ñatti màndarga yi lëppaalëpp monarch mëna am. 1. Laaf yu am melo oraŋ ak yu ñuul: Li ñuy xàmmee mooy lëppaalëpp Monarch yi ci seeni laaf yu am motif yu am sidit yu ñuul yu dëll ak ay tombi weex ci catu lëppaalëpp yi. Seeni laaf mën nañu | 0 | 0.726138 | Cluster 1 (n=1,385) |
translation | sudoping01/english-wolof-translation | 0 | 0.57498 | 69 | Traduis ce texte en anglais : Nguuru Almaañ mënoon na am jafe-jafe amal lànket bu gaaw te leer
The German government would have had difficulty conducting a speedy and thorough investigation | fr | 0.004839 | ambiguous | 0.028053 | 0.222287 | train | Traduis ce texte en anglais : Nguuru Almaañ mënoon na am jafe-jafe amal lànket bu gaaw te leer The German government would have had difficulty conducting a speedy and thorough investigation | 3 | 0.716108 | Cluster 4 (n=614) |
translation | dofbi/jolof | 0 | 0.005625 | 70 | Traduis ce texte en wolof : être malingre
om | fr | 0 | ambiguous | 0.067946 | 0.620762 | train | Traduis ce texte en wolof : être malingre om | 3 | 0.884707 | Cluster 4 (n=614) |
tool_use | michsethowusu/Code-170k-wolof | 0.008943 | 0.720732 | 71 | Naka laa mëna jaar ci byte yu nekk ci Python 3 ba noppi am 1-lungth bytes? Sumay iterate ci benn mbir byte ci Python 3, maa ngi am byte benn-benn ni ko wane ci suuf:\n\n```python\n>>> [b for b in b'123']\n[49, 50, 51]\n```\n\nMën naa jëfandikoo kode bii ngir am 1-length bytes objet, waaye leerul bu baax ci ki koy jàng ... | wo | 0.204878 | both_systems | 0.029432 | 0.115992 | train | Naka laa mëna jaar ci byte yu nekk ci Python 3 ba noppi am 1-lungth bytes? Sumay iterate ci benn mbir byte ci Python 3, maa ngi am byte benn-benn ni ko wane ci suuf:\n\n```python\n>>> [b for b in b'123']\n[49, 50, 51]\n```\n\nMën naa jëfand | 0 | 0.918243 | Cluster 1 (n=1,385) |
translation | Alwaly/french-wolof-translation-gs | 0.244444 | 0.684722 | 72 | Traduis ce texte en wolof : Les politologues ont accordé un léger avantage aux démocrates.
Ñu seen xam-xam maacc ci politik maynañu Demokrat yi awantaas bu ndaw. | fr | 0.208333 | both_systems | 0.049365 | 0.366339 | train | Traduis ce texte en wolof : Les politologues ont accordé un léger avantage aux démocrates. Ñu seen xam-xam maacc ci politik maynañu Demokrat yi awantaas bu ndaw. | 3 | 0.764326 | Cluster 4 (n=614) |
instruction | ngia/alpaca-data-in-wolof | 0 | 0.757921 | 73 | Xalaatal pexe yu mëna wàññi polusioŋ ndox mi.
1. Yamale li usine yi di bàyyi ci ndox mi: Nguur yi dañu wara tëral ay sàrt yu tar ci wàllu usine yi ngir wàññi limu substance chimik yi ak polluant yi ñuy bàyyi ci ndox mi.\n\n 2. Fàttali mbay mi baax ci environmaa bi: Dañu wara ñaax baykat yi ñu jëfandikoo pexe mbay mi ba... | wo | 0.207673 | both_systems | 0.057862 | 0.084865 | train | Xalaatal pexe yu mëna wàññi polusioŋ ndox mi. 1. Yamale li usine yi di bàyyi ci ndox mi: Nguur yi dañu wara tëral ay sàrt yu tar ci wàllu usine yi ngir wàññi limu substance chimik yi ak polluant yi ñuy bàyyi ci ndox mi.\n\n 2. Fàttali mbay | 0 | 0.709466 | Cluster 1 (n=1,385) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0.757407 | 0.286111 | 74 | Tekkil lii ci wolof: Vous l'avez combattu en groupe, c'est pour cela que vous l'avez vaincu.
Dangeen ko sotoo moo tax ngeen mën ko. | wo | 0.005556 | ambiguous | 0.021704 | 0.10594 | train | Tekkil lii ci wolof: Vous l'avez combattu en groupe, c'est pour cela que vous l'avez vaincu. Dangeen ko sotoo moo tax ngeen mën ko. | 1 | 0.400898 | Cluster 2 (n=1,070) |
instruction | bilalfaye/wolof-sft | 0 | 0.333929 | 75 | Xam xeetu santaane bi: Mu daw jàll mbedd mi.
Xeetu santaane bi dafay fësal. | wo | 0.217857 | both_systems | 0.008624 | 0.034229 | train | Xam xeetu santaane bi: Mu daw jàll mbedd mi. Xeetu santaane bi dafay fësal. | 0 | 0.651595 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.125714 | 0.725714 | 76 | Traduis ce texte en français : Xaalis bi ñuy dugal ci tëralin wi ñu àppal fukki at, atum 2012 ba atum 2022, ngir xeex mbënn mi ci Senegaal gépp ñetti xaaj la : tëralin wu jamp wi, atum 2012 ba atum 2013 tolluu ci juróom-benn-fukki milyaar ak juróom-ñeent kos juróom-benn, tëralin wi ci diir bu gàtt, atum 2014 ba atum 2... | fr | 0.193214 | both_systems | 0.025187 | 0.125804 | train | Traduis ce texte en français : Xaalis bi ñuy dugal ci tëralin wi ñu àppal fukki at, atum 2012 ba atum 2022, ngir xeex mbënn mi ci Senegaal gépp ñetti xaaj la : tëralin wu jamp wi, atum 2012 ba atum 2013 tolluu ci juróom-benn-fukki milyaar a | 1 | 0.513111 | Cluster 2 (n=1,070) |
tool_use | michsethowusu/Code-170k-wolof | 0.006667 | 0.714545 | 77 | Maa ngi liggéey ak Pandas DataFrame fu kolon bu njëkk bi amul boppu. Bëgg naa ko jox tur wi di 'liggéey'. Ma defar DataFrame ci fichier CSV, ba noppi jëfandikoo kode bii ngir sos sama DataFrame:\n\n```python\ndf = pd.read_csv('./data/file_name.csv', index_col=False, encoding=\"ISO-8859-1\") \ndf = df['ingredient_group... | wo | 0.194091 | both_systems | 0.019703 | 0.085067 | train | Maa ngi liggéey ak Pandas DataFrame fu kolon bu njëkk bi amul boppu. Bëgg naa ko jox tur wi di 'liggéey'. Ma defar DataFrame ci fichier CSV, ba noppi jëfandikoo kode bii ngir sos sama DataFrame:\n\n```python\ndf = pd.read_csv('./data/file_n | 0 | 0.8489 | Cluster 1 (n=1,385) |
classification | michsethowusu/wolof-emotions-corpus | 0 | 0.005625 | 78 | Quelle émotion exprime ce texte : Laya baaraat laaya..
neutral | fr | 0 | ambiguous | 0.107866 | 0.358023 | train | Quelle émotion exprime ce texte : Laya baaraat laaya.. neutral | 6 | 0.985724 | Cluster 7 (n=216) |
classification | michsethowusu/wolof-sentiments-corpus | 0.258824 | 0.596544 | 79 | Quel est le sentiment (positif / négatif / neutre) : Jaraaf yak dak ya tey ñii ñépp dem na
Positive | fr | 0 | ambiguous | 0.01388 | 0.038562 | train | Quel est le sentiment (positif / négatif / neutre) : Jaraaf yak dak ya tey ñii ñépp dem na Positive | 1 | 0.230428 | Cluster 2 (n=1,070) |
translation | galsenai/french-wolof-translation | 0.234667 | 0.716 | 80 | Traduis en wolof : Les États anglophones tels que le Nigeria, le Ghana, la Gambie conserveront leur propre monnaie car ils souhaitent observer le mécanisme de ce nouvel instrument de finance africain, avant de s’engager à leurs côtés.
Réew yile di làkk àngale di Niseriyaa, Ganaa ak Gàmbi dañuy des ak seen xaalis ndaxte... | fr | 0.193 | both_systems | 0.048113 | 0.207733 | train | Traduis en wolof : Les États anglophones tels que le Nigeria, le Ghana, la Gambie conserveront leur propre monnaie car ils souhaitent observer le mécanisme de ce nouvel instrument de finance africain, avant de s’engager à leurs côtés. Réew | 1 | 0.543484 | Cluster 2 (n=1,070) |
classification | michsethowusu/wolof-emotions-corpus | 0.088 | 0.579625 | 81 | Wan yëg-yëg la kàddu gii wund? pos naa pasatelo bn por aki qe yo tmb llevo poco tiempo y naa a postear muxo
neutral | wo | 0 | ambiguous | 0.674597 | -0.08763 | train | Wan yëg-yëg la kàddu gii wund? pos naa pasatelo bn por aki qe yo tmb llevo poco tiempo y naa a postear muxo neutral | 5 | 0.955594 | Cluster 6 (n=501) |
tool_use | michsethowusu/Code-170k-wolof | 0.006769 | 0.736 | 82 | Maa ngi liggéey ci sistemu jëfandikoo jokkoo ngir benn kompiñi. Sosiete bu nekk mën na am nit ñu bari ñu lay jokkoo, di joxe ay xalaat ci ay kàmpaañ yu wuute, ba noppi ñu may leen ñu joxe leen. Maa ngi am ndam ci jëfandikoo INSERT, UPDATE, ak laaj SELECT, waaye maa ngi am jafe-jafe ak laaj DELETE. Fi ñu tolli nii, maa ... | wo | 0.379077 | both_systems | 0.029367 | 0.121167 | train | Maa ngi liggéey ci sistemu jëfandikoo jokkoo ngir benn kompiñi. Sosiete bu nekk mën na am nit ñu bari ñu lay jokkoo, di joxe ay xalaat ci ay kàmpaañ yu wuute, ba noppi ñu may leen ñu joxe leen. Maa ngi am ndam ci jëfandikoo INSERT, UPDATE, | 0 | 0.868184 | Cluster 1 (n=1,385) |
translation | MaroneAI/French-Wolof_Translation-Dataset | 0.146667 | 0.595625 | 83 | Traduis en français : ëtu
menacer d’attaquer qqn en proférant des paroles violentes (synonyme: tëkku) | fr | 0 | ambiguous | 0.052761 | 0.466666 | train | Traduis en français : ëtu menacer d’attaquer qqn en proférant des paroles violentes (synonyme: tëkku) | 2 | 0.757918 | Cluster 3 (n=630) |
qa | alexandrainst/multi-wiki-qa | 0.047771 | 0.722286 | 84 | Jàngal mbind mii, tontul laaj bi ak baat yi nekk ci mbind mi.
Xudar walla Xidr mbaa Xadr
XUDAR /Xadir /Xidir
Xudar, mooy jëmm ji Alxuraan di nettali ci Saaru Xunt Ma {65. Ñu daje ak ab jaam ci sama jaam yi boo xam ne may Nanu ko yërmaande lu jóge ci Nun, te jàngal Nanu ko xam-xam bu bàyyikoo ci Nun.} [Saar 18 : Xunt... | wo | 0.199857 | both_systems | 0.054133 | 0.120647 | train | Jàngal mbind mii, tontul laaj bi ak baat yi nekk ci mbind mi. Xudar walla Xidr mbaa Xadr XUDAR /Xadir /Xidir Xudar, mooy jëmm ji Alxuraan di nettali ci Saaru Xunt Ma {65. Ñu daje ak ab jaam ci sama jaam yi boo xam ne may Nanu ko yërmaande l | 1 | 0.512172 | Cluster 2 (n=1,070) |
translation | galsenai/centralized_wolof_french_translation_data | 0.22 | 0.715 | 85 | Tekkil mbind mii ci farañse: Xam na bu baax ne xaalis bi mu wax yépp dugaluñu ko fi mu waroon a dugg.
Il sait bel et bien que les montants sus cités n’ont pas été investis où de droit. | wo | 0.205 | both_systems | 0.028685 | 0.106207 | train | Tekkil mbind mii ci farañse: Xam na bu baax ne xaalis bi mu wax yépp dugaluñu ko fi mu waroon a dugg. Il sait bel et bien que les montants sus cités n’ont pas été investis où de droit. | 1 | 0.670779 | Cluster 2 (n=1,070) |
translation | galsenai/centralized_wolof_french_translation_data | 0.44 | 0.595625 | 86 | Donne la traduction en wolof de : Ces Américains sont impitoyables.
Waa Amerique yii dañu yërëm. | fr | 0 | ambiguous | 0.052111 | 0.219703 | train | Donne la traduction en wolof de : Ces Américains sont impitoyables. Waa Amerique yii dañu yërëm. | 4 | 0.897233 | Cluster 5 (n=526) |
translation | MaroneAI/Wolof-to-French_Translation-Dataset | 0.32459 | 0.587254 | 87 | Traduis ce texte en français : Sudee amul weñ bu jàppandi, wala soo xalaatul sol ay kawaas, ko, di nga mëna jéema jëfandikoo ab wowalukaayu karaw, su amee.
Si vous n'avez pas de fer à repasser ou si vous n'avez pas envie de porter des chaussettes repassées, vous pouvez essayer d'utiliser un sèche-cheveux, si vous en tr... | fr | 0.004918 | ambiguous | 0.040301 | 0.254256 | train | Traduis ce texte en français : Sudee amul weñ bu jàppandi, wala soo xalaatul sol ay kawaas, ko, di nga mëna jéema jëfandikoo ab wowalukaayu karaw, su amee. Si vous n'avez pas de fer à repasser ou si vous n'avez pas envie de porter des chaus | 3 | 0.413094 | Cluster 4 (n=614) |
translation | Alwaly/french-wolof-translation-gs | 0.366667 | 0.6825 | 88 | Tekkil mbind mii ci wolof: Cet état d'esprit repose sur la rapidité, la logique et l'exactitude, mais aussi l'identification des faits, la mobilisation de techniques pré-existantes et la recherche d'infos.
Jubluwaayu xalaat bii mooy gaawaayam bi, niko xel mënee nangu ak jubaay bi, akit raññee jëf yi, jëfewaat teknik yi... | wo | 0.1975 | both_systems | 0.045713 | 0.109123 | train | Tekkil mbind mii ci wolof: Cet état d'esprit repose sur la rapidité, la logique et l'exactitude, mais aussi l'identification des faits, la mobilisation de techniques pré-existantes et la recherche d'infos. Jubluwaayu xalaat bii mooy gaawaay | 1 | 0.694981 | Cluster 2 (n=1,070) |
tool_use | michsethowusu/Code-170k-wolof | 0.006748 | 0.715644 | 89 | Nan laa mëna tabaxee benn griy bu tollu ci benn xeetu xeetu Python? Jéem naa jëfandikoo algorithm bu mag bu melni k-mean, waaye bëgg naa santar yi ñu séddale ci anam wu amul benn werante. Jéem naa lii ci jëfandikoo gi gëna jege dekkandoo yi gëna jege seetlu yi gëna jege, te jëfandikoo naa ay pexe yu bari, waaye dañu ye... | wo | 0.187653 | both_systems | 0.023414 | 0.096225 | train | Nan laa mëna tabaxee benn griy bu tollu ci benn xeetu xeetu Python? Jéem naa jëfandikoo algorithm bu mag bu melni k-mean, waaye bëgg naa santar yi ñu séddale ci anam wu amul benn werante. Jéem naa lii ci jëfandikoo gi gëna jege dekkandoo yi | 0 | 0.857905 | Cluster 1 (n=1,385) |
instruction | ngia/alpaca-data-in-wolof | 0 | 0.772757 | 90 | Xalaatal anam yu ñuy wàññi polusioŋ bi ci environmaa bi
Bari anam yu nit ñi ak askan yi mëna jaar ngir wàññi polusioŋ bi ci environmaa bi, lu ci melni:\n\n 1. Wàññil, Jëfandikuwaat, Rësikle: Wàññi limu mbalit mi ñuy defar, wut yeneen anam yu ñuy jëfandikoo mbir yuñ mënoon sànni, ak rësikle mbir yi ci anam wu jaar yoon ... | wo | 0.201412 | both_systems | 0.019911 | 0.090543 | train | Xalaatal anam yu ñuy wàññi polusioŋ bi ci environmaa bi Bari anam yu nit ñi ak askan yi mëna jaar ngir wàññi polusioŋ bi ci environmaa bi, lu ci melni:\n\n 1. Wàññil, Jëfandikuwaat, Rësikle: Wàññi limu mbalit mi ñuy defar, wut yeneen anam y | 0 | 0.724993 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.314286 | 0.294911 | 91 | Donne la traduction en français de : Kon lu tax du ko jëfandikoo?
Alors pourquoi ne l'a-t-il pas utilisé? | fr | 0 | ambiguous | 0.057915 | 0.249276 | train | Donne la traduction en français de : Kon lu tax du ko jëfandikoo? Alors pourquoi ne l'a-t-il pas utilisé? | 4 | 0.719371 | Cluster 5 (n=526) |
tool_use | michsethowusu/Code-170k-wolof | 0.007309 | 0.734884 | 92 | Naka la prograamu IA mëna gisee plagiaire ci benn mbindu mbind?
Soo bëggee gis plagiarism, mën nga jëfandikoo prograam buy méngale ñaari bloku mbind, ba noppi di wane ndax amna kàddu yu noonu mel. Benn anam ngir jëfandikoo lii mooy jëfandikoo kode bii:\n\ndefense_plagiarism (ci kaw, plagiaire):\n original = original.s... | wo | 0.205897 | both_systems | 0.040053 | 0.103399 | train | Naka la prograamu IA mëna gisee plagiaire ci benn mbindu mbind? Soo bëggee gis plagiarism, mën nga jëfandikoo prograam buy méngale ñaari bloku mbind, ba noppi di wane ndax amna kàddu yu noonu mel. Benn anam ngir jëfandikoo lii mooy jëfandik | 0 | 0.83918 | Cluster 1 (n=1,385) |
tool_use | michsethowusu/Code-170k-wolof | 0.015493 | 0.658803 | 93 | Ndax amna anam ngir boole ñaari diksoneer ci Python?
Waaw, mën nga def loolu soo defaree prograamu Python. Lii ab misaalu kode la buy wane ni ñuy boolee ñaari diksoneer:\n\n```python\ndef mergeDictionaries(dict1, dict2):\n res_dict = {**dict1,**dict2}\n return res_dict\n\ndict1 = { 'a': 1, 'b': 2, 'c': 3 }\ndict2... | wo | 0.191901 | both_systems | 0.023228 | 0.08746 | train | Ndax amna anam ngir boole ñaari diksoneer ci Python? Waaw, mën nga def loolu soo defaree prograamu Python. Lii ab misaalu kode la buy wane ni ñuy boolee ñaari diksoneer:\n\n```python\ndef mergeDictionaries(dict1, dict2):\n res_dict = {**dic | 0 | 0.865552 | Cluster 1 (n=1,385) |
translation | galsenai/centralized_wolof_french_translation_data | 0.212903 | 0.748387 | 94 | Traduis ce texte en wolof : Les clients de l’hôtel étaient principalement des ressortissants des Émirats arabes unis.
Ganu kër gi nékkonañu lu ci ëpp ñu dëkk ci United Arab Emirates. | fr | 0.189516 | both_systems | 0.041688 | 0.30281 | train | Traduis ce texte en wolof : Les clients de l’hôtel étaient principalement des ressortissants des Émirats arabes unis. Ganu kër gi nékkonañu lu ci ëpp ñu dëkk ci United Arab Emirates. | 3 | 0.788845 | Cluster 4 (n=614) |
translation | sudoping01/english-wolof-translation | 0.35 | 0.005625 | 95 | Traduis ce texte en anglais : Am naa benn liggéey buma wara def, yaa ngi koy jafeel lool.
I have one job to do, and you make it so difficult. | fr | 0.02069 | ambiguous | 0.033218 | 0.247109 | train | Traduis ce texte en anglais : Am naa benn liggéey buma wara def, yaa ngi koy jafeel lool. I have one job to do, and you make it so difficult. | 3 | 0.682463 | Cluster 4 (n=614) |
translation | galsenai/centralized_wolof_french_translation_data | 0.253846 | 0.573077 | 96 | Donne la traduction en français de : Fuck nit ñi xam nga lima bëgga wax, fuck leen.
Tu sais ce que je veux dire, fous-les tous. | fr | 0.198077 | both_systems | 0.058806 | 0.239096 | train | Donne la traduction en français de : Fuck nit ñi xam nga lima bëgga wax, fuck leen. Tu sais ce que je veux dire, fous-les tous. | 4 | 0.558795 | Cluster 5 (n=526) |
translation | MaroneAI/Wolof-to-French_Translation-Dataset | 0.2464 | 0.712 | 97 | Traduis ce texte en wolof : Risquant plusieurs amendes pour son refus de répondre aux journalistes, la championne de 23 ans, qui a remporté l'US Open en 2020 et l'Open d'Australie cette année, espère que le montant considérable qu'elle devra payer sera reversé à des associations caritatives aidant à la recherche sur la... | fr | 0.1954 | both_systems | 0.050021 | 0.205637 | train | Traduis ce texte en wolof : Risquant plusieurs amendes pour son refus de répondre aux journalistes, la championne de 23 ans, qui a remporté l'US Open en 2020 et l'Open d'Australie cette année, espère que le montant considérable qu'elle devr | 1 | 0.627006 | Cluster 2 (n=1,070) |
translation | galsenai/centralized_wolof_french_translation_data | 0 | 0.585294 | 98 | Traduis en français : naka ngeen mënee sëy te amul man?
Comment peux-tu te marier sans moi? | fr | 0.183824 | both_systems | 0.030802 | 0.192326 | train | Traduis en français : naka ngeen mënee sëy te amul man? Comment peux-tu te marier sans moi? | 2 | 0.609013 | Cluster 3 (n=630) |
translation | sudoping01/english-wolof-translation | 0 | 0.578571 | 99 | Tekkil mbind mii ci wolof: Khaled said that he did not know about the three.
Khaled niko xamuma ci ñatt ñi. | wo | 0.189286 | both_systems | 0.012716 | 0.073059 | train | Tekkil mbind mii ci wolof: Khaled said that he did not know about the three. Khaled niko xamuma ci ñatt ñi. | 1 | 0.517064 | Cluster 2 (n=1,070) |
translation | sudoping01/english-wolof-translation | 0.169231 | 0.298077 | 100 | Donne la traduction en wolof de : They are your people.
Sa askan lañu. | fr | 0 | ambiguous | 0.059543 | 0.264954 | train | Donne la traduction en wolof de : They are your people. Sa askan lañu. | 4 | 0.899356 | Cluster 5 (n=526) |
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