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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