Common Voice Scripted Speech 25.0 - Adyghe
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 3/22/2026
Format: MP3
Size: 1.68 GB
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Description
A collection of read speech recordings in Adyghe (Адыгабзэ).
Specifics
Considerations
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.
Processes
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.
Metadata
Адыгабзэ — Adyghe (ady)
This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Adyghe [Адыгабзэ - ady]. The dataset contains 60343 clips representing 87.44 hours of recorded speech (70.55 hours validated) from 163 speakers, recorded from a text corpus of 14,098 sentences.
Language
Adyghe (/ˈædɪɡeɪ/ or /ˌɑːdɪˈɡeɪ/, also known as West Circassian) is a Northwest Caucasian language spoken by the western subgroups of Adygheans (Circassians). Identified by the ISO 639-3 code ady, it belongs to the Northwest Caucasian language family. Adyghe is also one of the official languages of the Republic of Adygea, a federal subject of the Russian Federation.
The Adyghean (West Circassians) population is estimated to be between 1,200,000 to 2,000,000 although the number of active speakers is significantly lower. Adygheans are primarily located in the Republic of Adygea, Russia, with additional diaspora populations in Turkey, Jordan, Israel, Syria, the United States, Canada, and various European countries due to historical migrations. However, only about 10% of the Adyghe population is considered literate in the language.
For more information about the global distribution of Adyghe population, see:
The Adyghe (Circassian) Diaspora Today.
Variants
The following table presents the general language variants of the Adyghe language used in the Common Voice project.
| Language Variant | BCP-47 Tag | Script | Short Description |
|---|---|---|---|
| Adyghe/West Circassian (Cyrillic) | ady-Cyrl | Cyrillic | Indicated for all literate speakers. |
| Adyghe/West Circassian (Cyrillic, Russia) | ady-RU | Cyrillic | Specified for literate speakers in Russia. |
| Adyghe/West Circassian (Cyrillic, Turkey) | ady-Cyrl-TR | Cyrillic | Specified for literate speakers in Turkey. |
| Adyghe/West Circassian (Latin, Turkey, transliteration) | ady-Latn-TR-t-ady-cyrl-tr | Turkish transliteration | Specifies for non-literate speakers in Turkey. |
| Adyghe/West Circassian (Cyrillic, Jordan) | ady-Cyrl-JOR | Cyrillic | Specified for literate speakers in Jordan. |
| Adyghe/West Circassian (Cyrillic, Syria) | ady-Cyrl-SY | Cyrillic | Specified for literate speakers in Syria. |
Questions in the MCV-SS project are provided in Cyrillic and Turkish transliteration to support non-literate users from the Turkish diaspora. With "literacy" we mean being able to read the Adyghe alphabet.
| Code | Variant | Clips | Speakers |
|---|---|---|---|
| ady-Cyrl | Адыгабзэ (Кирил, пстэумэ зэдыряе) | 40,584 (67.3%) | 73 (44.8%) |
| ady-RU | Адыгабзэ (Кирил, Урысый) | 5,202 (8.6%) | 28 (17.2%) |
| ady-Cyrl-TR | Адыгабзэ (Кирил, Тырку - Batı Çerkesçesi) | 3,624 (6.0%) | 18 (11.0%) |
| ady-Latn-TR-t-ady-cyrl | Adığabze (Latin, Turk, transliteratse - Batı Çerkesçesi) | 671 (1.1%) | 2 (1.2%) |
| ady-Cyrl-JOR | Адыгабзэ (Кирил, Иордание) | 48 (0.1%) | 1 (0.6%) |
Accents
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| temirgoy | Кıэмгуй (Çemguy) | 10,213 (16.9%) | 34 (20.9%) |
| shapsug | Шапсыгъ (Şapsığ) | 7,085 (11.7%) | 17 (10.4%) |
| bzhedug | Бжъэдыгъу (Bjeduğ) | 6,350 (10.5%) | 18 (11.0%) |
| abzakh | Абдзах (Abzah) | 2,313 (3.8%) | 13 (8.0%) |
| hatikuay | Хьатыкъуай (Hatıkuay) | 205 (0.3%) | 2 (1.2%) |
| - | Other | 550 (0.9%) | 1 (0.6%) |
Demographic information
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
Gender
Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.
| Code | Gender | Clips | Speakers |
|---|---|---|---|
| male_masculine | Male, masculine | 1,081 (1.8%) | 1 (0.6%) |
| female_feminine | Female, feminine | 43,122 (71.5%) | 69 (42.3%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | 214 (0.4%) | 1 (0.6%) |
| - | Unspecified | 15,926 (26.4%) | 106 (65.0%) |
Gender declared: 44,417 of 60,343 clips (73.6%), 57 of 163 speakers (35.0%)
Age
Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | 4,529 (7.5%) | 12 (7.4%) |
| twenties | Twenties | 20,122 (33.3%) | 35 (21.5%) |
| thirties | Thirties | 15,737 (26.1%) | 31 (19.0%) |
| fourties | Fourties | 5,772 (9.6%) | 24 (14.7%) |
| fifties | Fifties | 7,960 (13.2%) | 23 (14.1%) |
| sixties | Sixties | 2,046 (3.4%) | 6 (3.7%) |
| seventies | Seventies | 71 (0.1%) | 2 (1.2%) |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 4,106 (6.8%) | 54 (33.1%) |
Age declared: 56,237 of 60,343 clips (93.2%), 109 of 163 speakers (66.9%)
Data splits for modelling
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 48,689 (80.7%) |
| Invalidated | 2,585 (4.3%) |
| Other | 9,069 (15.0%) |
Training splits
| Split | Clips |
|---|---|
| Train | 4,267 (8.8%) |
| Dev | 3,381 (6.9%) |
| Test | 3,388 (7.0%) |
Training split coverage: 11,036 of 48,689 validated clips (22.7%)
The dataset contains 48689 validated, 2585 invalidated, and 9069 unresolved clips. The average clip duration is 5.217 seconds.
Text corpus
The text corpus for the Adyghe language in the Common Voice project consists of a diverse collection of sentences contributed by native speakers. These sentences cover a wide range of topics, including everyday conversations, cultural references, and various domains such as literature, news articles, conversational texts, technology, health, and education. The maximum length of Adyghe sentences in this dataset is limited to 15 words and 140 characters due to restrictions in the Common Voice interface. However, Adyghe sentences can naturally be much longer. In this dataset, the average length has been aimed to be maintained at around 6–8 words and 80–100 characters to reflect the typical structure and complexity of the Adyghe language. The corpus has been curated to ensure a broad representation of vocabulary and grammatical constructs, making it suitable for training robust speech recognition models.
Validated sentences: 11,364
| Category | Count |
|---|---|
| Unvalidated sentences | 2,734 |
| Pending sentences | 926 |
| Rejected sentences | 1,808 |
| Reported sentences | 1,425 |
The corpus contains 14,098 sentences: 11,364 validated and 2,734 unvalidated (926 pending review, 1,808 rejected), with 1,425 reported for review.
Writing system
The Adyghe language uses the Cyrillic script with some additional letters to represent specific sounds in the language. The alphabet consists of 66 letters, including 33 standard Cyrillic letters and 33 additional letters unique to Adyghe. The writing system is phonetic, meaning that words are generally spelled as they are pronounced. Adyghe is written from left to right.
During the period when there was no Adyghe keyboard option, the recorded text content was written with the Russian keyboard as the closest alternative. The characters in the Adyghe alphabet defined by the Unicode Consortium as "Cyrillic Letter Palocka ('Ӏ': u04C0, utf-8)" and "Cyrillic Letter Small Palocka ('ӏ': u04CF, utf-8)" are not defined in this keyboard model. For this reason, since the early days of computers, when creating digital data in Adyghe or Kabardian, one of the characters "Latin Capital Letter i ('I': u0049, utf-8)", "Latin Small Letter L ('l': u006C, utf-8)" or "Digit One ('1': u0031, utf-8)", albeit rarely "Vertical Line ('|': u007C, utf-8)" was used randomly due to their visual similarities (Nemlioğlu, 2018). This situation emerges as an important factor that negatively affects data quality (Nemlioğlu,2025).
Therefore we allowed the use of only the keyboard layout specially designed for Adyghe language in the Common Voice project. This keyboard layout includes all the letters of the Adyghe alphabet, including the special characters "Cyrillic Letter Palocka ('Ӏ': u04C0, utf-8)" and "Cyrillic Letter Small Palocka ('ӏ': u04CF, utf-8)". The use of this keyboard layout has significantly improved the quality of the text data in Adyghe. Click here to download Adyghe Keyboard for Windows.
Symbol table
Main Alphabet: (Ordered by ascending) а б в г {гу} {гъ} {гъу} д {дж} {дз} {дзу} е ё ж {жъ} {жъу} {жь} з и й к {ку} {къ} {къу} {кӏ} {кӏу} л {лъ} {лӏ} м н о п {пӏ} {пӏу} р с т {тӏ} {тӏу} у ф х {хъ} {хъу} {хь} ц {цу} {цӏ} ч {чъ} {чӏ} ш {шъ} {шъу} {шӏ} {шӏу} щ ъ ы ь э ю я ӏ {ӏу}
Orthographic–Phonetic Table (IPA):
| А а (ä) | Б б (b) | В в (v) | Г г (g) | Гу гу (ɡʷ) | Гъ гъ (ʁ) | Гъу гъу (ʁʷ) | Д д (d) | Дж дж (dʒ) | Дз дз (dz) | Дзу дзу (dzʷ) |
|---|
| Е е (je) | Ё ё (jo) | Ж ж (ʒ) | Жъ жъ (ʐ) | Жъу жъу (ʒʷ) | Жь жь (ʑ) | З з (z) | И и (i) | Й й (j) | К к (k) | Ку ку (kʷ) |
|---|
| Къ къ (q) | Къу къу (qʷ) | Кӏ кӏ (t͡ʃ) | Кӏу кӏу (kʷʼ) | Л л (l) | Лъ лъ (ɬ) | Лӏ лӏ (ɬʼ) | М м (m) | Н н (n) | О о (o, w) | П п (p) |
|---|
| Пӏ пӏ (pʼ) | Пӏу пӏу (pʷʼ) | Р р (r) | С с (s) | Т т (t) | Тӏ тӏ(tʼ) | Тӏу тӏу (tʷʼ) | У у (u, w) | Ф ф (f) | Х х (x) | Хъ хъ (χ) |
|---|
| Хъу хъу (χʷ) | Хь хь (ħ) | Ц ц (ts) | Цу цу (tsʷ) | Цӏ цӏ (tsʼ) | Ч ч (tʃ) | Чъ чъ (tʂ) | Чӏ чӏ (tʂʼ) | Ш ш (ʃ) | Шъ шъ (ʂ) | Шъу шъу (ʃʷ) |
|---|
| Шӏ шӏ (ʃʼ) | Шӏу шӏу (ʃʷʼ) | Щ щ (ɕ) | Ъ ъ (′) | Ы ы (ə) | Ь ь (′) | Э э (a,ɘ) | Ю ю (ju) | Я я (ja) | Ӏ ӏ (ʔ) | Ӏу ӏу (ʔʷ) |
|---|
Auxiliary exemplar: The following letters may also be present in the dataset, but are not part of the official Adyghe alphabet. They are used to represent three specific sounds in the Shapsug dialect. They could potentially appear in some dialogues or quoted sentences.
{гь}: Voiced dorso-palatal plosive [ɟ] (e.g. егьэ (jeɟɘ) [Shapsug] = еджэ [Adyghe]: reading) {кь}: Voiceless dorso-palato-velar plosive [kʲ] (e.g. кьэт (kʲɘt) [Shapsug] = чэт [Adyghe]: chicken ) {кӏь}: Glottalized voiceless dorso-palato-velar plosive [kʲʼ] (e.g. кӏьакӏьэ (kʲʼäkʲʼɘ) [Shapsug] = кӏэнкӏэ [Adyghe]: egg)
Other Languages: Some entries in the dataset include words originating from other languages, such as Russian or Turkish. These words have been phonetically transcribed using the Adyghe alphabet, with characters chosen to approximate their original pronunciation as closely as possible.
Sample
There follows a randomly selected sample of five sentences from the corpus.
Ар зэшыпхъуищым анахьыкӏ, ахэмэ янэр орэдыӏо цӏэрыӏоу Мэзэнэф-Гуащэр ары.
Мастерскойхэр апэрэ этажым тетых.
Блэкӏыгъэ тхьаумафэм тэ къэлэ паркым тыкӏогъагъ.
Мы къаз ӏэлыр псынкӏэу мэбыбы.
ЧӀыр куоу зыжъорэм игъажъо къэжъо.
Sources
All sentences in this dataset were created specifically for the Common Voice project by native Adyghe speakers. The sentences were carefully crafted to cover a wide range of topics and linguistic structures, ensuring a diverse and representative corpus for speech recognition training.
| Source | Sentences |
|---|---|
| Transliterated community submissions, copyright waived - no-variant (2025-02) | 3,766 (33.1%) |
| Community submissions, copyright waived - no-variant (re-post 2025-02) | 2,223 (19.6%) |
| Community submissions, copyright waived - no-variant (2025-02b) | 1,385 (12.2%) |
| Community submissions, copyright waived - no-variant (2025-03) | 703 (6.2%) |
| Community submissions, copyright waived (2025-05-24-ady-Cyrl-5) | 644 (5.7%) |
| Community submissions, copyright waived (2026-03-01-ady-Cyrl) | 601 (5.3%) |
| Community submissions, copyright waived (2025-11-09-ady-Cyrl) | 439 (3.9%) |
| Community submissions, copyright waived (2026-02-22-ady-Cyrl) | 232 (2.0%) |
| Community submissions, copyright waived (2025-10-29-ady-Cyrl-5) | 225 (2.0%) |
| Other | 1,146 (10.1%) |
Text domains
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 118,654 (196.6%) | 162 (99.4%) |
| agriculture_food | Agriculture and Food | 34 (0.1%) | 21 (12.9%) |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | 69 (0.1%) | 25 (15.3%) |
| healthcare | Healthcare | 55 (0.1%) | 26 (16.0%) |
| history_law_government | History, Law and Government | - | - |
| media_entertainment | Media and Entertainment | 101 (0.2%) | 36 (22.1%) |
| nature_environment | Nature and Environment | 10 (0.0%) | 9 (5.5%) |
| news_current_affairs | News and Current Affairs | 111 (0.2%) | 32 (19.6%) |
| technology_robotics | Technology and Robotics | 54 (0.1%) | 4 (2.5%) |
| language_fundamentals | Language Fundamentals | 534 (0.9%) | 54 (33.1%) |
Processing
The text data in this dataset has undergone several processing steps to ensure quality and consistency:
Recommended post-processing
These sentences are provided as-is, and no additional post-processing is required. However, users may choose to perform Unicode normalization (NFC or NFD) depending on their specific use case.
Although the sentences (questions/translation texts) have been written and verified using correct Unicode characters via the ady & kbd keyboard for Windows, it is possible that some text inputs beyond our control may have been submitted due to Common Voice’s open participation model.
After the datasets are published, we re-audit these entries and take the necessary steps to ensure corrections in the next release.
Fields
Clips
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id- hashed UUID of a given userpath- relative path of the audio filetext- supposed transcription of the audioup_votes- number of people who said audio matches the textdown_votes- number of people who said audio does not match textage- age of the speaker1gender- gender of the speaker1accents- accents of the speaker1variant- variant of the language1segment- if sentence belongs to a custom dataset segment, it will be listed hereprompt_upvotes- number of upvotes the sentence prompt receivedprompt_reports- number of reports the sentence prompt receivedis_edited- whether the clip's transcription has been edited
validated_sentences.tsv
The validated_sentences.tsv file contains one row per validated sentence in the text corpus:
sentence_id- unique identifier for the sentencesentence- the sentence textvariant- the variant of the languagesentence_domain- the domain(s) the sentence belongs tosource- the source the sentence was collected fromis_used- whether the sentence is still in circulation for recordingclips_count- number of clips recorded for this sentence
unvalidated_sentences.tsv
The unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:
sentence_id- unique identifier for the sentencesentence- the sentence textvariant- the variant of the languagesentence_domain- the domain(s) the sentence belongs tosource- the source the sentence was collected fromup_votes- number of upvotes the sentence receiveddown_votes- number of downvotes the sentence receivedstatus- current status of the sentence (pendingorrejected)
Get involved
Community links
If you want to join ady community, start here: https://bit.ly/cv_circassian_start_here
You can find more information about how to participate in the Common Voice Project on the following page:
Discussions
Comming soon.
Contribute
We do not advice to contribute to this dataset directly, because of writting system-keyboard issues. Please, read the section "Writing system" above and the following article: https://www.nemerko.org/the-importance-of-adyghe-keyboard-usage-for-artificial-intelligence-training/
If you want to contribute to the Adyghe language, please visit the following links: https://bit.ly/cv_circassian_start_here
A special thanks to all the volunteers who contributed to this dataset.
Acknowledgements
Datasheet authors
M.Ugur Nemlioglu
Murat Topçu
M.Uğur Nemlioğlu Saida Abregova Elizaveta Gogunokova Murat Topçu
Bülent Özden (Technical Advisor)
Funding
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
Licence
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.
Footnotes
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 ↩3 ↩4