Common Voice Scripted Speech 25.0 - Brahui

براہوئی — Brahui (brh)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Brahui [براہوئی - brh]. The dataset contains 5095 clips representing 9.93 hours of recorded speech (9.91 hours validated) from 18 speakers, recorded from a text corpus of 3,095 sentences.

Language

Brahui is a dravidian language spoken primarily in Central and western Balochistan, Pakistan, with smaller communities in Afghanistan and Iran. Despite being geographically isolated from other Dravidian languages, Brahui has retained its distinct linguistics identity for centuries. It is spoken by around 2.8 million people and coexists with surrounding languages such as Balochi, Pashtu and Persian, which has influenced its vocabulary and structure. The language is traditionally oral, though it has been written using the Arabic scripts in modern times. Brahui holds historical significances and contributes to the rich linguistic diversity of the region. The language has three main dialects: Sarawani, Jalawani and Rakhshani, with Sarawani being the standard dialect.

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.

Gender declared: 0 of 5,095 clips (0.0%), 0 of 18 speakers (0.0%)

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.

Age declared: 990 of 5,095 clips (19.4%), 0 of 18 speakers (0.0%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 3,091 of 5,086 validated clips (60.8%)

The dataset contains 5086 validated, 3 invalidated, and 6 unresolved clips. The average clip duration is 7.019 seconds.

Text corpus

The corpus consists of spontaneous spoken texts in the Sarawani dialect of Brahui. It includes a large number of sentences and utterances, primarily drawn from natural conversations and everyday speech of native speakers. The dataset emphasizes oral and informal registers, reflecting authentic language use rather than standardized or literary forms.

Validated sentences: 3,095

The corpus contains 3,095 sentences: 3,095 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 reported for review.

Writing system

Although Brahui is traditionally an oral language, in modern times it has been written using the Perso-Arabic script with modifications to represent specific Brahui sounds.

Symbol table

ا ب پ ت ٹ ث ج چ ح خ د ڈ ذ ر ڑ ز ژ س ش ص ض ط ظ ع غ ف ق ک گ ل ڷ م ن ں و ہ ھ ی ے

Sample

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

1. عہدہ سے آ سر کننگ کن ننا سادہ انگا مخلوق ءِ ہروار ریفرہ کہ وزیر

2. شاعر اسے

3. اٹ (مرحوم) نوشتہ کننگ ٹہپک او ہمو نا پن اٹ مریک ہرادے کس تینا نیام

4. نظم دا تو افسانوی ادب نا بشخ آک ءُ

5. اف دا بندغ انتئے دن کرے پنجاب اٹ خواننگ نا وخت آ اودے ندیم پاننگا‘

Sources

The corpus originates from a Brahui book. Sentences and short texts were created from the book and then spoken by native speakers for recording. Thus, the primary source is written Brahui material adapted into spoken form.

Text domains

General

Processing

The original Brahui book was segmented into smaller sentences and short texts. These were distributed to native speakers, who recorded themselves reading the material.

Recommended post-processing

Further post-processing may include verifying the alignment between text and audio, checking for transcription errors, and standardizing the text format.

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)

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Speak

• Write

• Listen

• Review

Acknowledgements

Datasheet authors

• Dr. Zia ur Rehman

• Muhammad Imran

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

1. 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