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Release Date: 9/17/2026
Format: MP3
Size: 5.85 MB
A collection of spontaneous responses to questions in Turkish (Türkçe).
Restrictions/Special Constraints
None provided.
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the Common Voice datasets. It is forbidden to re-host or re-share this dataset.
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
tr)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Turkish [Türkçe - tr]. The dataset contains 54 clips representing 0.28 hours of recorded speech (0.22 hours validated) from 13 speakers.
Turkish is the most widely spoken language among Turkic languages and has around 100 million L1 speakers, which makes it the 18th most spoken language. It is the national language of Turkey and one of two official languages of Cyprus, and secondary languages of some neighboring countries. Many smaller groups in other countries exist, through migrations or communities from Ottoman era. These smaller groups should usually be categorized as a variant.
There are currently no variants defined for Common Voice Turkish dataset. It is worth noting that, until now, this dataset focused on literary Turkish, often called "Turkish of Turkey". There are also some L2 voices, mostly from immigrants coming into the country, but these can be categorized as "foreign accents".
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 41 | 75.9% |
| Transcribed & Pending | 9 | 16.7% |
| Not transcribed | 4 | 7.4% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 54 | 100.0% |
Training split coverage: 0 of 41 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 41 | 82.0% |
| Pending | 9 | 18.0% |
| Edited | 12 | 24.0% |
Turkish uses an extended Latin alphabet.
Official Alphabet:
Lowercase: a b c ç d e f g ğ h ı i j k l m n o ö p r s ş t u ü v y z
Uppercase: A B C Ç D E F G Ğ H I İ J K L M N O Ö P R S Ş T U Ü V Y Z
Auxilary Characters (Arabic/Farsi loanwords): â î û Â Î Û
There follows a randomly selected sample of questions used in the corpus.
Son yıllarda iklim değişikliğinin etkilerini yaşıyor musun?
Hangi geleneksel Türk tatlısını en çok seviyorsun? Neden?
Ne tür filmler izlemekten hoışlanıyorsun?
Geçen yaz tatil yapabildiniz mi? Anlatsana…
Her yerde kameralarla izleniyor olmamız sence nasıl bir şey?
There follows a randomly selected sample of transcribed responses from the corpus.
Tüm dünyada boşanmalarda artış olması sence neden?
Abimin mimar olmasının da etkisi var sanırım, mimar olmak isterdim hep. Olmadı... Herhalde yeniden dünyaya gelsem, mimar olmak isterdim...
Bir enstrüman çalmayı seçsen hangisini çalmak isterdin?
On yıldır bir tatil yöresinde yaşıyorum zaten, o yüzden pek tatile gitme ihtiyacı hissetmiyorum. Ama geçen yıl üç günlüğüne bir otelde arkadaşımla birlikte konakladık.
Bu, hangi arkadaşım olduğuna göre değişir. Bazen dinlenmekten hoşlanan bir arkadaşım varsa film seyretmeyi tercih ederim. Gezmekten hoşlanan bir arkadaşım varsa onunla gezmeyi tercih ederim. Çok çeşitli şeylerden keyif alabiliyorum.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 5 minutes
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
Main Channels:
Social media channels used during campaigns:
This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.
For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2