Datasets:
Dataset Viewer
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')
- Downloads last month
- 621