Common Voice Scripted Speech 25.0 - Tajik

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 18.64 MB

Description

A collection of read speech recordings in Tajik (Тоҷикӣ).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

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

Тоҷикӣ — Tajik (`tg`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Tajik [Тоҷикӣ - tg]. The dataset contains 650 clips representing 0.9 hours of recorded speech (0.79 hours validated) from 9 speakers, recorded from a text corpus of 10,771 sentences.

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	-	-
female_feminine	Female, feminine	-	-
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	105 (16.2%)	1 (11.1%)
-	Unspecified	545 (83.8%)	8 (88.9%)

Gender declared: 105 of 650 clips (16.2%), 1 of 9 speakers (11.1%)

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	-	-
twenties	Twenties	633 (97.4%)	6 (66.7%)
thirties	Thirties	-	-
fourties	Fourties	-	-
fifties	Fifties	-	-
sixties	Sixties	-	-
seventies	Seventies	2 (0.3%)	1 (11.1%)
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	15 (2.3%)	2 (22.2%)

Age declared: 635 of 650 clips (97.7%), 7 of 9 speakers (77.8%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	572 (88.0%)
Invalidated	42 (6.5%)
Other	36 (5.5%)

Training splits

Split	Clips
Train	328 (57.3%)
Dev	123 (21.5%)
Test	121 (21.2%)

Training split coverage: 572 of 572 validated clips (100.0%)

The dataset contains 572 validated, 42 invalidated, and 36 unresolved clips. The average clip duration is 5.027 seconds.

Text corpus

Validated sentences: 4,000

Category	Count
Unvalidated sentences	6,771
Pending sentences	6,214
Rejected sentences	557
Reported sentences	18

The corpus contains 10,771 sentences: 4,000 validated and 6,771 unvalidated (6,214 pending review, 557 rejected), with 18 reported for review.

Sample

There follows a randomly selected sample of five sentences from the corpus.

Барф дар шаби моҳтоб нуқрагун менамояд.
Чаро шумораи лашкари муғул, бо вуҷуди он ки талафоти зиёд медоданд, кам намегардид?
Паррандаҳо барои кӯч омода мешаванд.
Шонздаҳ
Дастҳоятро шустаӣ?

Sources

Source	Sentences
Иқтибосоварии шахсӣ	890 (22.3%)
Self Citation	821 (20.5%)
Китобхо	719 (18.0%)
Дигар	662 (16.6%)
Садриддин Айнӣ, Ёддоштҳо	446 (11.2%)
Иқтибос аз худ	242 (6.0%)
Махзани Қонунгузории Ҷумҳурии Тоҷикистон - https://mmk.tj	54 (1.4%)
Other	166 (4.2%)

Text domains

Code	Domain	Clips	Speakers
general	General	117 (18.0%)	6 (66.7%)
agriculture_food	Agriculture and Food	7 (1.1%)	3 (33.3%)
automotive_transport	Automotive and Transport	12 (1.8%)	4 (44.4%)
finance	Finance	15 (2.3%)	3 (33.3%)
service_retail	Service and Retail	17 (2.6%)	5 (55.6%)
healthcare	Healthcare	13 (2.0%)	5 (55.6%)
history_law_government	History, Law and Government	31 (4.8%)	5 (55.6%)
media_entertainment	Media and Entertainment	149 (22.9%)	8 (88.9%)
nature_environment	Nature and Environment	5 (0.8%)	4 (44.4%)
news_current_affairs	News and Current Affairs	55 (8.5%)	5 (55.6%)
technology_robotics	Technology and Robotics	9 (1.4%)	4 (44.4%)
language_fundamentals	Language Fundamentals	321 (49.4%)	9 (100.0%)

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 user
path - relative path of the audio file
text - supposed transcription of the audio
up_votes - number of people who said audio matches the text
down_votes - number of people who said audio does not match text
age - age of the speaker1
gender - gender of the speaker1
accents - accents of the speaker1
variant - variant of the language1
segment - if sentence belongs to a custom dataset segment, it will be listed here
prompt_upvotes - number of upvotes the sentence prompt received
prompt_reports - number of reports the sentence prompt received
is_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 sentence
sentence - the sentence text
variant - the variant of the language
sentence_domain - the domain(s) the sentence belongs to
source - the source the sentence was collected from
is_used - whether the sentence is still in circulation for recording
clips_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 sentence
sentence - the sentence text
variant - the variant of the language
sentence_domain - the domain(s) the sentence belongs to
source - the source the sentence was collected from
up_votes - number of upvotes the sentence received
down_votes - number of downvotes the sentence received
status - current status of the sentence (pending or rejected)

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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