Loading datasets...
Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 259.53 MB
Share
A collection of read speech recordings in Eastern Balochi (بلوچی).
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.
bgp)This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Eastern Balochi [بلوچی - bgp]. The dataset contains 8507 clips representing 12.8 hours of recorded speech (11.5 hours validated) from 28 speakers, recorded from a text corpus of 6,997 sentences.
Eastern Balochi is a Northwestern Iranian language spoken by the Baloch people, primarily in eastern Balochistan (Pakistan), as well as in parts of Punjab and Sindh. It is one of the major dialects of Balochi and has significant mutual intelligibility with Western and Southern Balochi. Around 2 million people speak Eastern Balochi.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 45 (0.5%) | 2 (7.1%) |
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
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 | 55 (0.6%) | 1 (3.6%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 8,452 (99.4%) | 27 (96.4%) |
Gender declared: 55 of 8,507 clips (0.6%), 1 of 28 speakers (3.6%)
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 | 361 (4.2%) | 5 (17.9%) |
| thirties | Thirties | 636 (7.5%) | 1 (3.6%) |
| fourties | Fourties | - | - |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 7,510 (88.3%) | 25 (89.3%) |
Age declared: 997 of 8,507 clips (11.7%), 3 of 28 speakers (10.7%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 7,645 (89.9%) |
| Invalidated | 214 (2.5%) |
| Other | 648 (7.6%) |
Training splits
| Split | Clips |
|---|---|
| Train | 3,522 (46.1%) |
| Dev | 1,410 (18.4%) |
| Test | 1,854 (24.3%) |
Training split coverage: 6,786 of 7,645 validated clips (88.8%)
The dataset contains 7645 validated, 214 invalidated, and 648 unresolved clips. The average clip duration is 5.418 seconds.
CORPUS from Baloch Academy, more than 10 million words.
Validated sentences: 6,997
| Category | Count |
|---|---|
| Unvalidated sentences | - |
| Pending sentences | - |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 6,997 sentences: 6,997 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 reported for review.
As the writing system of Eastern Balochi is similar to the Perso-Arabic system used in Urdu and Persian, the same system is also used for question and response transcriptions.
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 م ن ں و ہ ء ی ے ۔ ؟
There follows a randomly selected sample of five sentences from the corpus.
آئی ءِجند نوں مارگ ءَ اِنت کہ کار چوش ارزان نہ اِنت کہ آسرپد بوئگءَ اِنت کارانی تہا بازیں پیچ ءُتاب مان اَنت
کاف ءَکاگد چہ آئی ءِ دست ءَ پچ گپت
بانک! من مومس ءِ منت ءَ کلام ءَ سربوئگ نہ لوٹاں
کلام ءِکاردار انچو حراب نہ بوتگ اَنت بلئے دگہ بازیں
سَجھیناں/دراھیں ادب ءِ تہ ءَ گپ ءُ تران کنگی اِنت۔
https://ebook.balochiacademy.org/
| Source | Sentences |
|---|---|
| Self | 6,997 (100.0%) |
Healthcare, Nature & environment, Language Fundamentals (e.g. Digits, Letters, Money)
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.tsvThe 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.tsvThe 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)
SHUMAILA AMAN amanshumaila@gmail.com
https://ebook.balochiacademy.org/
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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 ↩3 ↩4