Datasets:

Sugutt
/

kalenjin-asr-data

Modalities:

Audio

Text

Formats:

Size:

Libraries:

Dataset card Data Studio Files Files and versions

xet

Community

Dataset Viewer

Auto-converted to Parquet

Split (3)

train · 11.1k rows

audio_filepath audio	duration float64	text string
	4.0755	Tomo itinye choruet ne chepto iman?
	3.8235	Teret nigiteer ko nenyu
	6.1275	kiyaat baruet Eng' kasarta ne kimito inegei
	5.2275	Borto ne kararan ko maliik che echeen ochei.
	3.3555	Kipalei kepenonik chebokeswek
	4.2555	Atkomemoche iborye, ayae kityo
	4.3635	Makinyoru kiy age tugul ache eng yu
	9.0075	Kimwa tibiik choe ko uu ye kibuntoe nyalilwokik che chang eng somanee ngwang.
	4.8675	Koimuktaano kuwejikei komakiyanji achek
	6.0555	Kiawe panda ab betusiek taman eng nyajet ab Pacific
	5.1555	abwati kole magat binmgecheng kiy netos keam
	9.4035	Bik chechomei emet kokasekei kutitngwai ako momoche kobut chi
	4.0035	Amune ilochi ingoroik che echen.
	13.0035	Otoroti komagat bikap Kenya Kowal kabwatutik cheyach akonyor chekororon eng kobotisiet
	7.0635	Tinyei kipsoiwet kororik che lelach che tinyei tuindo ne kikimire
	6.7755	Kingaran kiwanjaitak rankii cge ngulotei kokonye kotou urerie.
	4.1475	togu kuuni tingdoi naet chito ne oo
	6.1275	Kikirwokchi amu kiib mbaret leloo ak bik chebo mbaret
	6.4875	pandaptai ko tou ak kakwoutiet ne mining
	6.0555	Much ketonon namet ab asoya eng' oratinwek checgang'
	4.9035	mait iyanan iman any ako kiachamin
	5.7675	Koityol kanetindet Kiptoo amun Ingeleldo nyi
	3.4275	Mo urerie bondenyu.
	6.5235	Rabinik chotok ko much kobaishe serikalit ko kaito taret eng piik tug'ul
	5.5155	Kirwogeni kowendi kotilei ole wendi kotokchinigei.
	8.6835	ak eng' choto alak chechang nebo kamangut ko keitchi noton eng sait ne kararan
	4.0035	Ngo ne ko ripe lakwet ngug?
	4.8675	Tinyei benderetab Kenya itonwek ang'wan
	4.5435	Kanya anyoni yunoe eng' chokchinet
	7.2075	Kingotoi kororokto asista kokue Koba ndonyo kocheng ngwekab koskoleny
	3.9675	Tuiyet ab kwonyik ak murenik
	5.4075	Pendap inokiet koipu anyinyindo ne inegei
	5.4075	kilyan asimetoben boisionik che itanyin.
	5.9475	Gaigai,mwagee kiro boiyot,"Iyoe boisiet ngiro?"
	5.4075	Amwochin kamennyu ale kwaanyoru ne achame.
	4.6875	Mache kebat mbaranni korok sigekol
	5.0475	Teben ngotko takomennye icheget olin po Kirobon.
	8.1075	Katunisyet kou kapngui ne keraran ne mochei boisyet ako chomnyet nebo kibagenge.
	3.1755	Yae biik kororosiso ochei
	6.4875	Akewekchi kamenyi neboiboichini ak siling bogol ak konom
	5.4075	Achomin amun aleiotoretiton anai karwotutik chuk.
	4.1475	Somonik biikab orenyu tugul bitonin.
	5.0475	Koitaet ab naet kokelchin eng mung'areshek
	5.5155	rhymes chepo rap koyaya apuatuta komiei
	3.2835	Keturek ketik
	5.4075	Konon kilaming'ung apoisye, awegun.
	4.9035	Ne neyani iweku chito ingelelyot?
	7.2075	manget tiemutik ab kenai imanda ko manget eng kap kirwak
	4.1475	Mi pukuit nyu mesennyu parak.
	4.5075	ma chito kiptayat kobisto biikchich
	8.2155	Kowalak akoek yokwotet, ketik tulonok ak tiongik tugul asikenyor unee kelchin
	5.5875	Kikilke kandoik ab Molo kobangan bik kwak
	8.7555	Kora ko tuguk che kiborostoishe keboisie kemwochine bik agobo nametab osoya
	4.1475	Mitei kasarta nebo kiy age tugul
	6.5955	Sokek ak komoswek chemi ngwony nebo tulwet kokikotuch ketik ak tianginik
	5.5155	kiba konam askarik chorindetab tetab chitab kokwe
	4.9755	Kii chepserwet imetoi yateiywot eng orit
	7.2075	Bandari fc ak Kcb kf komache lakok che inete ko pir mpire
	4.1475	abwatii ale mokunyo kobargei Tom.
	4.6155	Miten pik che mache kochor karishek
	5.2635	kiboisie chorokwach robinik chechang kotetei kootng'wany
	4.7955	kiinun bandek choto eng' mbaret robta
	5.4435	kiaet atebii Eng' mikawait akatebii ak choronk chu
	4.7955	kigaiame ache marakwek chechang komaloit
	7.4235	meche kengen kole kongete olin bo Wuhan emetab china
	6.8835	kiyomiss kaindoinatet kole kipchini kergonyet icheget che kinyortoi
	5.6955	kowaksot ago rabachi ago maingen iche kole ngalu
	7.6035	Mobo kwonget kesat koborostoindet kolen ingoik somok, kenyisiek angwan,konetik taman
	4.6875	Kimaloo ak olekimi taritiet ake nekiame tutuik
	5.5875	somansot eng' boiboiyo kipsomaninik che chomei somanet
	3.2475	tinye kebeberta ne ya
	6.2355	kikibar biik che negitee tamanwokik bokol muut eng kandoishenyi
	5.0475	Kaikai inyit kainet ak nambeshek kuk eng fomini
	5.2275	kianetgei akutunyii yon ogotii bik cheechen
	8.1435	Mo cheechen ak chemengech cheimuchi kemut kapkirwok kouye kiyai kiptaiyat
	5.6235	boishet ab kimnatet be ter koripee kotililit emet
	3.8955	Kagoyan Ann saetab Henry
	4.7235	koninaik chemi barak ko kabaruret eng' kabatindet
	5.3355	Tos,isiregei siinyoru kasetishek anjocho?
	12.1035	Komokimeto olyetab keturek, kerekune olyetab mogombesiek nito koyoei kobotik kokol keswek chechang akochanga kesutik
	4.0755	Kwandab molo kotindo ngalek nea
	6.1635	maktin kotinyei sukulisiek lekichunguzane tukun
	3.7875	Enkai nabo te uni
	4.7235	Kongonyor ruondo kotuiyo ak chemosit kora
	4.0755	Atoret pik alak kopo kamanut eng' ane
	4.4355	Chomye ng'ung' kou roryot ne ipoipoiti.
	4.5075	Somanet ko techei emet nyoo
	5.0475	tos imache kepenpikeunze tuay let Nepo wikit
	6.0555	Kingokat Kipokeo kochut orit konem ngoroikab sukul
	5.0475	Ine ko chito ne yae mungaret nekikiberur
	6.1635	kikiker mikawesiekab tugul che kibo kiprutoinik
	3.2835	Ne tieni che mi barak.
	3.8955	Iame ano amitwogikab beet?
	6.0555	Tootinye kabwotutietab ruondo nito ne boron kurumve
	6.1635	Sheriaek chebo oret kotokelengani ak bik chechang.
	5.4435	kiayoo ngwek choto ko mamii mwaita ak chumbik
	3.9675	Eng kerenyuu ko manyolu chu nemotiny
	6.7035	kinerekso biik chechang akobo walet eng kibagenge inoto
	5.2635	Eng Amerika konayat eng tibiik chesire kambet
	4.5435	kisomani akubo mashinit ne sokoni juisit

End of preview. Expand in Data Studio

language: - kln license: cc-by-4.0

Kalenjin ASR Dataset

This dataset contains audio clips of Kalenjin speech and their corresponding transcriptions. It is intended for use in training and evaluating Automatic Speech Recognition (ASR) models for the Kalenjin language.

Dataset Description

This dataset was created from the Mozilla Common Voice project. It contains a total of [NUMBER] hours of audio, split into train, test, and validated sets.

Languages

The audio is in the Kalenjin language (kln).

Dataset Structure

Data Splits

The dataset is split into three sets:

train: The training set, containing [NUMBER] hours of audio.
test: The test set, containing [NUMBER] hours of audio.
validated: The validated set, containing [NUMBER] hours of audio.

Data Fields

Each instance in the dataset has the following fields:

audio_filepath: The path to the audio file.
duration: The duration of the audio file in seconds.
text: The transcription of the audio file.

Data Curation

The data was curated from the Mozilla Common Voice project. The audio files were converted to WAV format and resampled to 16kHz. The transcriptions were cleaned to remove any problematic entries.

Citation

If you use this dataset in your research, please consider citing the original Mozilla Common Voice project:

Downloads last month: 192

Size of downloaded dataset files:

5.62 GB

Size of the auto-converted Parquet files:

5.62 GB

Number of rows:

48,276

Models trained or fine-tuned on Sugutt/kalenjin-asr-data

Sugutt/whisper-kalenjin-small

Automatic Speech Recognition • 0.2B • Updated 5 days ago • 26 • 1