Datasets:

mamelles
/

task_x_theme

task stringclasses 7 values	source stringclasses 31 values	foreign float64 0 0.81	theme_x float64 0.01 0.88	theme_y float64 -0.47 0.61	standard float64 0 0.78	record_id int64 1 5k	prompt_lang stringclasses 3 values	non_standard float64 0 0.73	ortho_reason stringclasses 2 values	source_split stringclasses 2 values	text_preview stringlengths 27 180
tool_use	michsethowusu/Code-170k-wolof	0	0.088262	0.145324	0.730216	1	wo	0.206295	both_systems	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 synt
translation	sudoping01/english-wolof-translation	0	0.170353	0.350834	0.290789	2	fr	0	ambiguous	train	Traduis ce texte en wolof : Fastest way to kill your enemy. anam wu gëna gaaw ngir ray sa noon.
classification	michsethowusu/wolof-emotions-corpus	0.157143	0.758645	-0.404423	0.598482	3	wo	0	ambiguous	train	Wan yëg-yëg la kàddu gii wund? estaan muy al rate pars parti- , neutral
tool_use	michsethowusu/Code-170k-wolof	0.00873	0.08577	0.134854	0.717857	4	wo	0.220238	both_systems	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 c
instruction	m-a-d-i/wori-wolof-instructions	0	0.076955	0.121506	0.765455	5	wo	0.205	both_systems	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
classification	michsethowusu/wolof-emotions-corpus	0	0.165649	0.195519	0.313958	6	fr	0	ambiguous	train	Quelle émotion exprime ce texte : (Njëfandikoowaatu bii dencukaay) neutral
translation	MaroneAI/French-Wolof_Translation-Dataset	0.11	0.177426	0.197938	0.595	7	fr	0.19	both_systems	train	Traduis en wolof : Quels chevaux voulais-tu et lequel as-tu pris ? Yan fas ŋga bëggoon ak wan ŋga japp ?
instruction	bilalfaye/wolof-sft	0.024859	0.112996	0.164781	0.727119	8	wo	0.209746	both_systems	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 2
translation	galsenai/centralized_wolof_french_translation_data	0.44	0.190304	0.304517	0.295	9	fr	0	ambiguous	train	Donne la traduction en français de : / Gaawal. Leegi famiy lañu. - On est une famille maintenant.
translation	galsenai/centralized_wolof_french_translation_data	0.379412	0.203884	0.303293	0.005625	10	fr	0	ambiguous	train	Donne la traduction en français de : Maa ngi jàppale rek. Je suis juste en train d'aider.
tool_use	michsethowusu/Code-170k-wolof	0	0.107951	0.160452	0.744595	11	wo	0.206757	both_systems	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 jëflant
classification	michsethowusu/wolof-emotions-corpus	0.183333	0.76683	-0.398752	0.6375	12	wo	0.2	both_systems	train	Wan yëg-yëg la kàddu gii wund? xech xam kuymasangiz xam, disgust
qa	alexandrainst/multi-wiki-qa	0.033033	0.138148	0.142604	0.710811	13	wo	0.204279	both_systems	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 taxawal
tool_use	michsethowusu/Code-170k-wolof	0	0.092091	0.153637	0.717647	14	wo	0.370761	both_systems	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\n
translation	galsenai/centralized_wolof_french_translation_data	0.314286	0.215205	0.325573	0.296429	15	fr	0	ambiguous	train	Donne la traduction en wolof de : Je t'aime aussi. Man itam bëgg naala.
translation	MaroneAI/Wolof-to-French_Translation-Dataset	0.293333	0.192099	0.281421	0.295	16	fr	0	ambiguous	train	Donne la traduction en wolof de : il vend de la friperie. Dafay jaay fëgg-jaay
tool_use	michsethowusu/Code-170k-wolof	0.00534	0.068047	0.108135	0.713835	17	wo	0.537015	both_systems	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 LS
translation	galsenai/centralized_wolof_french_translation_data	0.146667	0.178444	0.33352	0.606875	18	fr	0	ambiguous	train	Traduis ce texte en français : Juróom ñeent, juróom ñatti.. Neuf, huit... Je suis à vous.
translation	sudoping01/english-wolof-translation	0	0.153139	0.312032	0	19	fr	0.035294	ambiguous	train	Traduis en wolof : Please confirm Free Castle is a go. Baalnu nga firndeel ni Free Castle demna.
translation	MaroneAI/French-Wolof_Translation-Dataset	0.2	0.213271	0.355714	0.588084	20	fr	0.180844	both_systems	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 mboota
translation	sudoping01/english-wolof-translation	0.129412	0.138205	0.212018	0.298272	21	fr	0	ambiguous	train	Donne la traduction en anglais de : Lépp lañu wara fay nit kii. We owe this man everything.
tool_use	michsethowusu/Code-170k-wolof	0.010015	0.122712	0.198136	0.723217	22	wo	0.200266	both_systems	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).co
translation	sudoping01/english-wolof-translation	0.070968	0.07227	0.13891	0.559677	23	fr	0.004839	ambiguous	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.
translation	MaroneAI/French-Wolof_Translation-Dataset	0.33	0.250895	0.34017	0.6025	24	fr	0	ambiguous	train	Donne la traduction en wolof de : Il a passé la journée à aller çà et là. Dafa yendoo tuñ-tuñi.
translation	galsenai/centralized_wolof_french_translation_data	0.419231	0.212232	0.442388	0.005625	25	fr	0	ambiguous	train	Traduis ce texte en wolof : Il y a un problème. Amna jafe-jafe.
translation	bilalfaye/english-wolof-french-dataset	0	0.048888	0.08708	0	26	wo	0.03	ambiguous	train	Tekkil mbind mii ci wolof: if I hadn't been there I would have died Suma fa nekkoon damaa dee
tool_use	michsethowusu/Code-170k-wolof	0.006111	0.11244	0.180539	0.721667	27	wo	0.193333	both_systems	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() != j
translation	galsenai/centralized_wolof_french_translation_data	0	0.115048	0.229417	0.005625	28	fr	0.033333	ambiguous	train	Traduis en wolof : Johnson sentait qu' il n' avait aucun soutien Johnson dafa jàpp ni amul benn ndimbal
translation	galsenai/centralized_wolof_french_translation_data	0.4	0.143502	0.284015	0.307898	29	fr	0	ambiguous	train	Traduis en wolof : Un peu plus ingénieux. Dafa gëna am xel.
instruction	ngia/alpaca-data-in-wolof	0	0.102497	0.167448	0.758475	30	wo	0.376695	both_systems	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:
tool_use	michsethowusu/Code-170k-wolof	0.015331	0.117741	0.182581	0.732404	31	wo	0.199564	both_systems	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 a
translation	galsenai/centralized_wolof_french_translation_data	0.407143	0.20599	0.378497	0.01125	32	fr	0	ambiguous	train	Traduis ce texte en wolof : Je suis un multitâche. Man ku bari liggéey laa.
tool_use	michsethowusu/Code-170k-wolof	0.005164	0.099059	0.163336	0.726056	33	wo	0.199648	both_systems	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"
classification	michsethowusu/wolof-emotions-corpus	0.517647	0.701204	-0.289512	0.602169	34	wo	0	ambiguous	train	Wan yëg-yëg la kàddu gii wund? - Les enjeux de la pénalisation de la vie économique - anger
classification	michsethowusu/wolof-sentiments-corpus	0.129412	0.084676	-0.00289	0.005625	35	wo	0.035294	ambiguous	train	Wan xalaat la (baax / bon / digg-dóomu)? mana ko AaMgana maoM BaI ek dIp jalaayaa jaayao. Positive
tool_use	michsethowusu/Code-170k-wolof	0	0.095471	0.15567	0.72129	36	wo	0.19871	both_systems	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
translation	sudoping01/english-wolof-translation	0	0.055851	0.095173	0.005625	37	wo	0.035294	ambiguous	train	Tekkil mbind mii ci wolof: We will never see my father again Dunu musa gisati sama pàppa
tool_use	michsethowusu/Code-170k-wolof	0.016517	0.095444	0.149095	0.727928	38	wo	0.190541	both_systems	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 yi
translation	sudoping01/english-wolof-translation	0.122222	0.139175	0.213781	0.291667	39	fr	0	ambiguous	train	Donne la traduction en anglais de : Yaakaar nañu ni daan ngeen. You guys really think you've won.
classification	michsethowusu/wolof-sentiments-corpus	0.264	0.049167	0.048341	0.591625	40	fr	0	ambiguous	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
translation	galsenai/centralized_wolof_french_translation_data	0.212903	0.094848	0.158826	0.606855	41	wo	0.199194	both_systems	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?
classification	michsethowusu/wolof-emotions-corpus	0.338462	0.764545	-0.402254	0.601779	42	wo	0	ambiguous	train	Wan yëg-yëg la kàddu gii wund? Testicules: auto examen des testicules surprise
tool_use	michsethowusu/Code-170k-wolof	0.007213	0.09031	0.143096	0.727541	43	wo	0.19418	both_systems	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```ba
translation	galsenai/english-wolof-smol-translation	0	0.042895	0.069304	0.01125	44	wo	0.031579	ambiguous	train	Tekkil mbind mii ci àngale: Ngeen bàyyi toog di jooy. Don't just sit around and cry about it.
translation	dofbi/jolof	0	0.237665	0.50607	0.005625	45	fr	0	ambiguous	train	Traduis ce texte en wolof : être torve (œil) mball
tool_use	michsethowusu/Code-170k-wolof	0.014058	0.103868	0.145585	0.720128	46	wo	0.19369	both_systems	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, BillAd
translation	MaroneAI/French-Wolof_Translation-Dataset	0.457426	0.213884	0.312833	0.30047	47	fr	0.004455	ambiguous	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 n
translation	MaroneAI/Wolof-to-French_Translation-Dataset	0.3	0.223153	0.397292	0.294261	48	fr	0.006818	ambiguous	train	Traduis ce texte en français : Lu la sa borom-kër wax ? Celui qui se lève avant le chef de famille se recouchera.
translation	MaroneAI/French-Wolof_Translation-Dataset	0	0.205913	0.421856	0.005625	49	fr	0.033333	ambiguous	train	Traduis ce texte en wolof : Il a vomi ce qu'il avait mangé. Tiisu na li mu lekkoon.
translation	MaroneAI/Wolof-to-French_Translation-Dataset	0.22	0.178077	0.321813	0.611875	50	fr	0	ambiguous	train	Traduis ce texte en français : Waxtaan ŋga ag ñépp gannaaw nooñii. Tu as discuté avec tous sauf avec ceux-là.
translation	galsenai/centralized_wolof_french_translation_data	0.323529	0.105835	0.13292	0.306324	51	wo	0.004412	ambiguous	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.
classification	michsethowusu/wolof-emotions-corpus	0.258824	0.8172	-0.3877	0.590919	52	wo	0.175	both_systems	train	Wan yëg-yëg la kàddu gii wund? lo note solo de lo aburrida que estoy jajaajjaajjajaj neutral
instruction	bilalfaye/wolof-sft	0.021569	0.097685	0.117899	0.726471	53	wo	0.195588	both_systems	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 saafa
tool_use	michsethowusu/Code-170k-wolof	0	0.093613	0.156091	0.718892	54	wo	0.718514	both_systems	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 clas
translation	galsenai/centralized_wolof_french_translation_data	0.255814	0.089083	0.14258	0.713953	55	wo	0.202907	both_systems	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, mu
classification	michsethowusu/wolof-emotions-corpus	0.169231	0.732912	-0.372764	0.613029	56	wo	0	ambiguous	train	Wan yëg-yëg la kàddu gii wund? Sama yaay génn na àdduna. sadness
translation	galsenai/centralized_wolof_french_translation_data	0.081481	0.134463	0.26146	0.308611	57	fr	0.180556	both_systems	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.
tool_use	michsethowusu/Code-170k-wolof	0	0.093899	0.156481	0.722973	58	wo	0.202703	both_systems	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
tool_use	michsethowusu/Code-170k-wolof	0.010427	0.08271	0.131333	0.714218	59	wo	0.54846	both_systems	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 del
tool_use	michsethowusu/Code-170k-wolof	0.016479	0.09719	0.161948	0.719101	60	wo	0.199719	both_systems	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\npub
classification	michsethowusu/wolof-emotions-corpus	0.157143	0.818334	-0.426353	0.684196	61	wo	0	ambiguous	train	Wan yëg-yëg la kàddu gii wund? Ngëko ngi kë ñgal ngi pëwin. neutral
tool_use	michsethowusu/Code-170k-wolof	0.006377	0.112025	0.185471	0.737391	62	wo	0.207174	both_systems	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`
tool_use	michsethowusu/Code-170k-wolof	0.024535	0.095041	0.14588	0.728996	63	wo	0.370074	both_systems	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
translation	galsenai/centralized_wolof_french_translation_data	0.225641	0.157344	0.247977	0.595577	64	fr	0	ambiguous	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 da
translation	MaroneAI/French-Wolof_Translation-Dataset	0	0.076229	0.133719	0.005625	65	wo	0.031579	ambiguous	train	Tekkil mbind mii ci wolof: J'ai vu tous vos amis en question ! Gis naa seeni xarit yooyu yépp !
tool_use	michsethowusu/Code-170k-wolof	0.019383	0.122922	0.193191	0.723789	66	wo	0.375771	both_systems	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\nW
translation	galsenai/centralized_wolof_french_translation_data	0.366667	0.120889	0.223626	0.6175	67	fr	0.19	both_systems	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.
instruction	bilalfaye/wolof-sft	0.015827	0.101963	0.12851	0.758273	68	wo	0.203058	both_systems	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
translation	sudoping01/english-wolof-translation	0	0.140218	0.283114	0.57498	69	fr	0.004839	ambiguous	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 inve
translation	dofbi/jolof	0	0.237665	0.50607	0.005625	70	fr	0	ambiguous	train	Traduis ce texte en wolof : être malingre om
tool_use	michsethowusu/Code-170k-wolof	0.008943	0.110208	0.17375	0.720732	71	wo	0.204878	both_systems	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
translation	Alwaly/french-wolof-translation-gs	0.244444	0.202029	0.396017	0.684722	72	fr	0.208333	both_systems	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.
instruction	ngia/alpaca-data-in-wolof	0	0.150799	0.137604	0.757921	73	wo	0.207673	both_systems	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
translation	MaroneAI/French-Wolof_Translation-Dataset	0.757407	0.102345	0.16965	0.286111	74	wo	0.005556	ambiguous	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.
instruction	bilalfaye/wolof-sft	0	0.040167	0.063699	0.333929	75	wo	0.217857	both_systems	train	Xam xeetu santaane bi: Mu daw jàll mbedd mi. Xeetu santaane bi dafay fësal.
translation	galsenai/centralized_wolof_french_translation_data	0.125714	0.118378	0.198287	0.725714	76	fr	0.193214	both_systems	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,
tool_use	michsethowusu/Code-170k-wolof	0.006667	0.0891	0.144909	0.714545	77	wo	0.194091	both_systems	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 s
classification	michsethowusu/wolof-emotions-corpus	0	0.165835	0.193747	0.005625	78	fr	0	ambiguous	train	Quelle émotion exprime ce texte : Laya baaraat laaya.. neutral
classification	michsethowusu/wolof-sentiments-corpus	0.258824	0.033792	0.042193	0.596544	79	fr	0	ambiguous	train	Quel est le sentiment (positif / négatif / neutre) : Jaraaf yak dak ya tey ñii ñépp dem na Positive
translation	galsenai/french-wolof-translation	0.234667	0.168332	0.266244	0.716	80	fr	0.193	both_systems	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
classification	michsethowusu/wolof-emotions-corpus	0.088	0.8035	-0.416195	0.579625	81	wo	0	ambiguous	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
tool_use	michsethowusu/Code-170k-wolof	0.006769	0.126582	0.202681	0.736	82	wo	0.379077	both_systems	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
translation	MaroneAI/French-Wolof_Translation-Dataset	0.146667	0.194762	0.406264	0.595625	83	fr	0	ambiguous	train	Traduis en français : ëtu menacer d’attaquer qqn en proférant des paroles violentes (synonyme: tëkku)
qa	alexandrainst/multi-wiki-qa	0.047771	0.171042	0.201667	0.722286	84	wo	0.199857	both_systems	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 a
translation	galsenai/centralized_wolof_french_translation_data	0.22	0.109134	0.161946	0.715	85	wo	0.205	both_systems	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 dr
translation	galsenai/centralized_wolof_french_translation_data	0.44	0.18871	0.294764	0.595625	86	fr	0	ambiguous	train	Donne la traduction en wolof de : Ces Américains sont impitoyables. Waa Amerique yii dañu yërëm.
translation	MaroneAI/Wolof-to-French_Translation-Dataset	0.32459	0.174067	0.319758	0.587254	87	fr	0.004918	ambiguous	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 fe
translation	Alwaly/french-wolof-translation-gs	0.366667	0.126536	0.154104	0.6825	88	wo	0.1975	both_systems	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
tool_use	michsethowusu/Code-170k-wolof	0.006748	0.107125	0.171975	0.715644	89	wo	0.187653	both_systems	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 w
instruction	ngia/alpaca-data-in-wolof	0	0.096137	0.158603	0.772757	90	wo	0.201412	both_systems	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
translation	galsenai/centralized_wolof_french_translation_data	0.314286	0.193978	0.302188	0.294911	91	fr	0	ambiguous	train	Donne la traduction en français de : Kon lu tax du ko jëfandikoo? Alors pourquoi ne l'a-t-il pas utilisé?
tool_use	michsethowusu/Code-170k-wolof	0.007309	0.123366	0.162145	0.734884	92	wo	0.205897	both_systems	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 kàd
tool_use	michsethowusu/Code-170k-wolof	0.015493	0.093981	0.146437	0.658803	93	wo	0.191901	both_systems	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```pyth
translation	galsenai/centralized_wolof_french_translation_data	0.212903	0.209581	0.406889	0.748387	94	fr	0.189516	both_systems	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 Emirate
translation	sudoping01/english-wolof-translation	0.35	0.135896	0.268124	0.005625	95	fr	0.02069	ambiguous	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.
translation	galsenai/centralized_wolof_french_translation_data	0.253846	0.216077	0.32933	0.573077	96	fr	0.198077	both_systems	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.
translation	MaroneAI/Wolof-to-French_Translation-Dataset	0.2464	0.165082	0.255421	0.712	97	fr	0.1954	both_systems	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
translation	galsenai/centralized_wolof_french_translation_data	0	0.112391	0.211702	0.585294	98	fr	0.183824	both_systems	train	Traduis en français : naka ngeen mënee sëy te amul man? Comment peux-tu te marier sans moi?
translation	sudoping01/english-wolof-translation	0	0.06119	0.106314	0.578571	99	wo	0.189286	both_systems	train	Tekkil mbind mii ci wolof: Khaled said that he did not know about the three. Khaled niko xamuma ci ñatt ñi.
translation	sudoping01/english-wolof-translation	0.169231	0.155558	0.248236	0.298077	100	fr	0	ambiguous	train	Donne la traduction en wolof de : They are your people. Sa askan lañu.

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