Datasets:
id
int64 | audio
audio | speaker_id
int64 | text
string |
|---|---|---|---|
1
| 1
|
Habari za asubuhi?
|
|
2
| 1
|
Unajisikiaje leo?
|
|
3
| 1
|
Tafadhali nipe maji.
|
|
4
| 1
|
Samahani, unaweza kunisaidia?
|
|
5
| 1
|
Jina lako ni nani?
|
|
6
| 1
|
Nimefurahi kukuona.
|
|
7
| 1
|
Karibu nyumbani kwetu.
|
|
8
| 1
|
Kwa heri, tutakutana tena.
|
|
9
| 1
|
Siku njema rafiki yangu.
|
|
10
| 1
|
Usiku mwema na lala salama.
|
|
11
| 1
|
Chakula hiki ni kitamu sana.
|
|
12
| 1
|
Tafadhali lete chakula kingine.
|
|
13
| 1
|
Ninaenda sokoni kununua matunda.
|
|
14
| 1
|
Unapenda chai au kahawa?
|
|
15
| 1
|
Leo hali ya hewa ni nzuri sana.
|
|
16
| 1
|
Barabara ni ndefu na yenye mashimo.
|
|
17
| 1
|
Gari langu limeharibika njiani.
|
|
18
| 1
|
Unapendelea muziki wa aina gani?
|
|
19
| 1
|
Nilifika ofisini mapema leo.
|
|
20
| 1
|
Samaki waliopikwa kwa mkaa wana ladha nzuri.
|
|
21
| 1
|
Unaweza kunionesha njia?
|
|
22
| 1
|
Umemaliza kazi yako?
|
|
23
| 1
|
Ni saa ngapi sasa?
|
|
24
| 1
|
Tafadhali funga mlango.
|
|
25
| 1
|
Unaweza kurudia tafadhali?
|
|
26
| 1
|
Watoto wamerudi shuleni?
|
|
27
| 1
|
Nani alishinda mchezo jana?
|
|
28
| 1
|
Tafadhali ongeza chumvi kidogo.
|
|
29
| 1
|
Niendelee au nisimame hapa?
|
|
30
| 1
|
Je, umepata barua pepe yangu?
|
|
31
| 1
|
Haraka haraka haina baraka.
|
|
32
| 1
|
Asiyeuliza hanalo ajifunzalo.
|
|
33
| 1
|
Akili ni mali, tumia vizuri.
|
|
34
| 1
|
Mtoto wa nyoka ni nyoka.
|
|
35
| 1
|
Tamaa mbele, mauti nyuma.
|
|
36
| 1
|
Mvumilivu hula mbivu.
|
|
37
| 1
|
Mwenye pupa hadiriki kula tamu.
|
|
38
| 1
|
Chanda chema huvikwa pete.
|
|
39
| 1
|
Ukiona vyaelea, jua vimeundwa.
|
|
40
| 1
|
Penye nia pana njia.
|
|
41
| 1
|
Moja, mbili, tatu, nne, tano.
|
|
42
| 1
|
Sita, saba, nane, tisa, kumi.
|
|
43
| 1
|
Kumi na moja, kumi na mbili.
|
|
44
| 1
|
Ishirini, thelathini, arobaini.
|
|
45
| 1
|
Mia moja, elfu moja.
|
|
46
| 1
|
Ninahitaji nusu kilo ya sukari.
|
|
47
| 1
|
Bei ya bidhaa hii ni shilingi elfu tano.
|
|
48
| 1
|
Tulipanda milima mitatu jana.
|
|
49
| 1
|
Kuna watoto ishirini darasani.
|
|
50
| 1
|
Nilinunua ndizi tano sokoni.
|
|
51
| 1
|
Leo ni Jumatatu.
|
|
52
| 1
|
Kesho nitakuwa na mkutano.
|
|
53
| 1
|
Tulianza kazi saa mbili asubuhi.
|
|
54
| 1
|
Tafadhali njoo saa tisa mchana.
|
|
55
| 1
|
Wiki ijayo nitasafiri kwenda Zanzibar.
|
|
56
| 1
|
Mwisho wa mwezi nitapokea mshahara.
|
|
57
| 1
|
Jana kulikuwa na mvua kubwa.
|
|
58
| 1
|
Tunakutana kila siku ya Jumapili.
|
|
59
| 1
|
Desemba ni mwezi wa sikukuu.
|
|
60
| 1
|
Saa yangu imeharibika.
|
|
61
| 1
|
Baba anapika bagia kwa bidii.
|
|
62
| 1
|
Dada yangu anapenda densi.
|
|
63
| 1
|
Ndege wa buluu huruka juu ya bahari.
|
|
64
| 1
|
Kijana kinachoimba kinasikika vizuri.
|
|
65
| 1
|
Mchana wa leo ni wa joto kali.
|
|
66
| 1
|
Nyumba mpya ina rangi ya kijani.
|
|
67
| 1
|
Zawadi zangu zote zimepotea.
|
|
68
| 1
|
Chui mweusi anakimbia haraka.
|
|
69
| 1
|
Tumekusanya matunda mengi shambani.
|
|
70
| 1
|
Kijiko kimeanguka chini.
|
|
71
| 1
|
Tunapaswa kuzungumza kwa utulivu.
|
|
72
| 1
|
Je, unafahamu njia fupi ya kufika sokoni?
|
|
73
| 1
|
Wanafunzi wanajifunza hesabu darasani.
|
|
74
| 1
|
Mti mkubwa unatoa kivuli kizuri.
|
|
75
| 1
|
Mbwa wangu anapenda mbio.
|
|
76
| 1
|
Jana niliona simba mbugani.
|
|
77
| 1
|
Kuna samaki wengi baharini.
|
|
78
| 1
|
Tafadhali fungua kitabu ukurasa wa tano.
|
|
79
| 1
|
Gari linaenda kwa kasi barabarani.
|
|
80
| 1
|
Watoto wanapenda kucheza uwanjani.
|
|
81
| 1
|
Leo jua linawaka sana.
|
|
82
| 1
|
Mti huu una matunda matamu sana.
|
|
83
| 1
|
Maji haya ni baridi sana.
|
|
84
| 1
|
Paka wangu anapenda kulala juu ya sofa.
|
|
85
| 1
|
Samaki wanaruka ndani ya maji.
|
|
86
| 1
|
Ninapenda kupanda mlima asubuhi.
|
|
87
| 1
|
Je, unaweza kuhesabu hadi mia moja?
|
|
88
| 1
|
Nyumba yetu iko karibu na msitu.
|
|
89
| 1
|
Leo nimevaa shati jekundu.
|
|
90
| 1
|
Hii ndizi ni tamu kuliko nyingine.
|
|
91
| 1
|
Ndege wanaruka angani kwa furaha.
|
|
92
| 1
|
Barabara hii ina giza sana usiku.
|
|
93
| 1
|
Tunapenda kusafiri mwishoni mwa wiki.
|
|
94
| 1
|
Sauti yako ni nzuri sana.
|
|
95
| 1
|
Ningependa kunywa chai moto.
|
|
96
| 1
|
Tunacheza mpira kila jioni.
|
|
97
| 1
|
Samaki huyu ana uzito mkubwa.
|
|
98
| 1
|
Nilisikia muziki mzuri sokoni.
|
|
99
| 1
|
Punda amebeba mizigo mizito.
|
|
100
| 1
|
Tunazungumza Kiswahili kila siku.
|
End of preview. Expand
in Data Studio
Swahili Speech-to-Text Dataset
This dataset contains paired audio and text data for training and evaluating speech-to-text models in Swahili. The audio files have been processed to remove silence, converted to 44.1kHz mono FLAC format, and are paired with corresponding transcriptions.
Structure
audio_*.flac: Audio files in FLAC format, named by their corresponding text corpus ID.metadata.jsonl: JSON Lines file with metadata for each audio-text pair. Each line is a JSON object with the following fields:id: Integer, the text corpus IDfile_name: String, the filename of the audio filetext: String, the transcriptionspeaker_id: Integer, the speaker identifier (currently only 1 and 2)
Example metadata entry
{
"id": 1,
"file_name": "audio_1.flac",
"speaker_id": 1,
"text": "Habari za asubuhi?"
}
Usage
You can load this dataset using the Hugging Face Datasets library:
from datasets import load_dataset
dataset = load_dataset('path/to/hf-dataset', split='train')
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