Datasets:

manassehzw
/

sna-manasseh-150-raw

id int64 1 150	filename stringlengths 5 7	text stringlengths 42 171
1	1.wav	Mangwanani. Ndamuka zvakanaka nhasi; ndirikugadzirira kuenda kusvondo.
2	2.wav	Mhoro shamwari yangu. Wakafamba sei nezuro; wakasvika zvakanaka here?
3	3.wav	Waswera sei; ndanga ndichifona kuti ndibvunze kuti tinogona kusangana here nhasi.
4	4.wav	Manheru amai. Nhasi ndakaneta asi zvinhu zvafamba zvakanaka hazvo.
5	5.wav	Ndikumbirewo kuti uvhura hwindo mhepo imbopinda mumba muno.
6	6.wav	Vhara musuwo zvinyoronyoro nokuti mwana achiri akarara.
7	7.wav	Ndiri kutsvaga makiyi angu asi handisi kuawona patafura.
8	8.wav	Nhasi ndichabika sadza nemuriwo kuti tidye tese kumba.
9	9.wav	Ndinoda mvura inodziya nokuti kunze kuri kutonhora mangwanani ano.
10	10.wav	Chingwa chapera saka ndichapfuura nekuchitoro pandinobva kubasa.
11	11.wav	Ndaisa mvura patafura; ndangomirira vamwe kuti vauye.
12	12.wav	Ko ukawedzera munyu zvishoma hazvibudi zvakanaka here.
13	13.wav	Mwana amuka achifara uye ave kuda kuenda kuchikoro manje.
14	14.wav	Tichasangana naamai kumusika kana tapedza kutenga miriwo.
15	15.wav	Baba vari kugadzirisa chitofu chemumba chisiri kushanda.
16	16.wav	Hanzvadzi yangu iri kuverenga saka tiri kutaura tichizevezera.
17	17.wav	Ndichamuka mangwanani kuti ndiwache hembe dzose dzasara.
18	18.wav	Tafura iyi inoda kupukutwa nokuti vana varasira mukaka pairi.
19	19.wav	Tiri kuronga kuzogeza mota masikati zuva rikabuda.
20	20.wav	Ndinoda kugara pasi zvangu kwemaminitsi mashoma ndimbonyarara.
21	21.wav	Bhazi ranonoka nhasi; ndatozomhanya kuti ndisvike kubasa nenguva.
22	22.wav	Mugwagwa wangauine makomba asi rwendo rwazofamba zvakanaka; pasina dambudziko.
23	23.wav	Ndinokumbira undiratidze nzira inoenda kukiriniki iri pedyo.
24	24.wav	Tichabuda nenguva kuti tisazononoka kutanga musangano wedu wemangwanani.
25	25.wav	Ndasiya bhegi rangu kumashure kwemota saka ndinofanira kudzokera kunoritora.
26	26.wav	Mvura yakatanga kunaya tichiri munzira saka takamhanya kupinda mumba.
27	27.wav	Kirasi yanhasi yakanga yakanaka uye mudzidzisi akatsanangura zvose zvakanaka.
28	28.wav	Ndakanganwa penzura yangu kumba asi shamwari yangu yandibatsira.
29	29.wav	Mwana uyu anoverenga zvakanaka uye anofarira kunyora nyaya pfupi.
30	30.wav	Tiri kudzokorora zvatakadzidza nezuro tisati tanyora bvunzo.
31	31.wav	Basa ranhasi rakawanda asi ndicharipedza zvishoma nezvishoma.
32	32.wav	Ndapota tumira mashoko acho zvakare nokuti handina kuaverenga zvakanaka.
33	33.wav	Musangano watanga nenguva uye munhu wese anga akagadzirira.
34	34.wav	Ndiri kunyora rondedzero pfupi pamusoro pebasa randakaita svondo rino.
35	35.wav	Foni yangu yakadzima bhatiri saka handina kuona mashoko ako.
36	36.wav	Ndapedza basa rese saka rega ndimbozorora zvishoma.
37	37.wav	Muviri wangu unonzwa kuremerwa saka ndiri kuda kuzorora nhasi.
38	38.wav	Ndapota huyai muchinyararire nokuti murwere achangobatwa nehope.
39	39.wav	Ndiri kunwa mushonga mushure mekudya sezvandakaudzwa nachiremba.
40	40.wav	Kana musoro ukaramba uchirwadza ndichaenda kukiriniki mangwana.
41	41.wav	Nhasi zuva ririnani zvaro; asi mhepo iri kufefetera zvakasimba.
42	42.wav	Kune makore akawanda saka kunogona kungonaya manheru.
43	43.wav	Zuva ranyatsobuda nhasi; mbatya dziri kuoma nekukurumidza.
44	44.wav	Nhasi kwaita mhute saka titochafamba tichinyatsotarisa nzira yedu.
45	45.wav	Ndinogona kukudaiza kananguva yemusangano yakwana here?
46	46.wav	Nhasi izuva rechitatu basa richiri kufamba zvakanaka chose.
47	47.wav	Ndachengeta mari shoma; kuti ndigozotenge zvimwe zvinhu mangwana.
48	48.wav	Tine maminitsi mashanu chete saka ngatikurumidze kupedza zvatirikuita.
49	49.wav	Wamboona bhuku rangu here? ndarisiya pedyo nepahwindo.
50	50.wav	Uri kunzwa zvakanaka here kana kuti ndoita zvekudaidzira?
51	51.wav	Mungandibatsirawo here kusimudza bhokisi ririkurema iri?
52	52.wav	Sei usina kundifonera pawakasvika pamba nezuro manheru?
53	53.wav	Chigara pano womirira kusvika ndadzoka kubva kuchechi.
54	54.wav	Tora kapu iyi uiise pedyo nefafitera usati wabuda.
55	55.wav	Vhenekera mwenje wako nokuti kwamuri kwakasviba zvikuru; hapana chandiri kuona.
56	56.wav	Ngatitangei zvino tisati tapedzerwa nguva nezvimwe zvinhu.
57	57.wav	Ndafara zvikuru kukuona zvakare mushure memazuva akawanda.
58	58.wav	Zvichiri zvakaoma zvikuru; asi ndinoziva kuti zvichanaka.
59	59.wav	Nhasi zvinhu zvafamba zvakanaka kupfuura zvandaitarisira pakutanga.
60	60.wav	Kana tapedza izvi tichazorora todya zvakanaka tese.
61	61.wav	Masvingo eKare akavakwa nemadzitateguru edu achishandisa matombo asina dhaka.
62	62.wav	Mambo Munhumutapa aiva mutungamiri airemekedzwa zvikuru munyika yese.
63	63.wav	Wakamboenda kunzvimbo dzinochengetedza nhoroondo dzenyika yedu yekare here?
64	64.wav	Humambo hweRozvi hwaizivikanwa neuto ravo raigona kurwa hondo.
65	65.wav	Madzitateguru edu aishandisa uta nemiseve kana vachienda kunovhima musango.
66	66.wav	Nhoroondo dzekare dzinotidzidzisa kwatakabva netsika dzedu semaShona.
67	67.wav	Vakataura pamusoro pegamba renyika rakarwira rusununguko rwedu here?
68	68.wav	Chaminuka aive svikiro guru raiporofita zvaizoitika munyika mazuva aizouya.
69	69.wav	Vanhu vaitengeserana nyanga dzenzou nendarama nevatorwa vaibva kure.
70	70.wav	Pane anoziva kuti zita rekuti Zimbabwe rakabva pazvivakwa zvematombo here?
71	71.wav	Mbuya Nehanda vakatungamirira vanhu pakurwira nyika yavo kubva kuvachena.
72	72.wav	Kare vanhu vairima mapfunde nezviyo vasati vatanga kurima chibage.
73	73.wav	Wakanzwa nyaya yengano yetsuro negudo yataitaurirwa naambuya here?
74	74.wav	Vadzimu vairemekedzwa zvikuru uye vanhu vaibika doro rekupira mweya.
75	75.wav	Madzimambo ekare aigara mumizinda yakakomberedzwa nemadziro ematombo.
76	76.wav	Munguva yamadzimambo vanhu vaibvisa mutero vachishandisa zvipfuyo here?
77	77.wav	Kugadzira masimbi kwaida hunyanzvi hukuru, hwaishandiswa kugadzira mapfumo.
78	78.wav	Nziyo dzechinyakare dzayiimbwa panguva dzekukohwa kana parufu.
79	79.wav	Mudzidzisi wepachikoro akakutsanangurirai nezvekutama kwemaBantu here?
80	80.wav	VaShona vaive mhizha dzaigona kuumba hari dzakanaka dzevhu.
81	81.wav	Lobengula aiva mambo wemaNdevere aigara muBulawayo panguva iyoyo.
82	82.wav	Unofunga kuti kurarama kwemazuva ekare kwaive nani pane kwanhasi here?
83	83.wav	Rwizi rweZambezi rwuripamuganhu peZimbabwe neZambia
84	84.wav	Misha yechinyakare yaivakwa nembariro ichipwigirwa nehuswa kwete marata.
85	85.wav	Baba vako vakambokutaurira nhoroondo yedzinza remhuri yenyu here?
86	86.wav	Varume vaigara padare vachitonga mhosva nekudzidzisa vakomana tsika.
87	87.wav	Vakadzi vaienda kutsime kunotora mvura vachitaurirana nyaya dzavo.
88	88.wav	Kune magwaro akanyorwa nezveumambo hweMutapa kuchikoro kwenyu here?
89	89.wav	Doro remazhanje neremakumbi zvinwiwa zvaidiwa munguva yezhizha.
90	90.wav	Hondo yeChimurenga yakatanga apo vanhu vakaramba kudzvanyirirwa.
91	91.wav	Unogona kududza mazita emadzimambo akatonga munyika ino here?
92	92.wav	Makomo ekumatobo ane mapako ane mifananidzo yakatarwa kare kare.
93	93.wav	Vana vaitamba mahumbwe vachidzidzira mabasa ehunyanzvi hwevakuru.
94	94.wav	Zvaibvumidzwa kuti munhu aroore vakadzi vakawanda munguva yechinyakare here?
95	95.wav	Nzira dzekurapa dzechinyakare dzaishandisa midzi nemakwati emiti.
96	96.wav	Kurova guva yaiva tsika yakakosha yekudzosa mweya wemufi mumusha.
97	97.wav	Une chokwadi here kuti ivhu iri ndiro rairimirwa nemadzitateguru edu here?
98	98.wav	Varungu pavakasvika vakatora minda yakanaka yevatema nechisimba.
99	99.wav	Zvirevo nemadimikira zvaishandiswa kupanana mazano akadzama.
100	100.wav	Rwendo rwekudzidza nhoroondo rwabatsira kuti unzwisise tsika dzedu here?

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SNA Manasseh 150 Raw

This dataset contains the 150-sample Shona corpus stored in the Modal sna-data volume.

Columns

id: integer row id from the source metadata
filename: audio file name
speaker_id: speaker label
text: transcription
audio: WAV audio loaded as a Hugging Face audio feature

Source Summary

Rows: 150
WAV files: 150
Sample rates: {"48000": 150}
Channels: {"1": 150}
Duration min: 3.947 sec
Duration max: 14.229 sec
Duration avg: 5.960 sec

Usage

from datasets import load_dataset

dataset = load_dataset("manassehzw/sna-manasseh-150-raw", split="train")
print(dataset[0])

The audio column is published with the Hugging Face Audio feature so samples can be played directly in the dataset viewer.

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Models trained or fine-tuned on manassehzw/sna-manasseh-150-raw

manassehzw/sna-f5-tts

Text-to-Speech • 0.3B • Updated May 7 • 288 • 1