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Release Date: 9/17/2026
Format: MP3
Size: 1.33 GB
A collection of read speech recordings in Sindhi (Sindhi).
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.
sd)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Sindhi [Sindhi - sd]. The dataset contains 66263 clips representing 73.38 hours of recorded speech (0.36 hours validated) from 35 speakers, recorded from a text corpus of 13,419 sentences.
Sindhi (سنڌي) is an Indo-Aryan language spoken mainly in Sindh, Pakistan, and also in India. It has millions of speakers, a rich literary history, and is written in both Perso-Arabic and Devanagari scripts.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 10 (0.0%) | 2 (5.7%) |
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 | 13,040 (19.7%) | 2 (5.7%) |
| female_feminine | Female, feminine | - | - |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 53,223 (80.3%) | 34 (97.1%) |
Gender declared: 13,040 of 66,263 clips (19.7%), 1 of 35 speakers (2.9%)
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 | 26 (0.0%) | 2 (5.7%) |
| twenties | Twenties | 30 (0.0%) | 3 (8.6%) |
| thirties | Thirties | 15,759 (23.8%) | 2 (5.7%) |
| fourties | Fourties | 49,740 (75.1%) | 5 (14.3%) |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 708 (1.1%) | 30 (85.7%) |
Age declared: 65,555 of 66,263 clips (98.9%), 5 of 35 speakers (14.3%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 328 (0.5%) |
| Invalidated | 366 (0.6%) |
| Other | 65,569 (99.0%) |
Training splits
| Split | Clips |
|---|---|
| Train | 286 (87.2%) |
| Dev | - |
| Test | 42 (12.8%) |
Training split coverage: 328 of 328 validated clips (100.0%)
The dataset contains 328 validated, 366 invalidated, and 65569 unresolved clips. The average clip duration is 3.987 seconds.
The Sindhi corpus consists of collected texts from newspapers, and social media. It contains more then one lacs sentences. The texts cover different domains, including literature, news, education, and everyday communication.
Validated sentences: 13,348
| Category | Count |
|---|---|
| Unvalidated sentences | 71 |
| Pending sentences | 69 |
| Rejected sentences | 2 |
| Reported sentences | 10 |
The corpus contains 13,419 sentences: 13,348 validated and 71 unvalidated (69 pending review, 2 rejected), with 10 reported for review.
The Sindhi corpus is written in the Perso-Arabic script, which is the standard script used by Sindhi newspapers in Pakistan. It includes additional letters that represent Sindhi-specific sounds not found in standard Arabic.
The Sindhi Perso-Arabic script (used in newspapers) has 52 letters. Here is the full alphabet list separated by spaces:
ا ب ٻ ڀ پ ت ٿ ٽ ٺ ث ج جه ڄ چ ڇ ح خ د ڌ ڏ ڊ ڍ ذ ر ڙ ڍ ز س ش ص ض ط ظ ع غ ف ڦ ق ڪ گ ڳ گه ڱ ل ڻ ن ڃ م و ء ه ة ي ئ
There follows a randomly selected sample of five sentences from the corpus.
| Source | Sentences |
|---|---|
| Asad Memon (self) | 13,271 (99.4%) |
| Other | 77 (0.6%) |
General, Media and Entertainment, News and Current Affairs
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 169 (0.3%) | 6 (17.1%) |
| agriculture_food | Agriculture and Food | - | - |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | - | - |
| history_law_government | History, Law and Government | - | - |
| media_entertainment | Media and Entertainment | - | - |
| nature_environment | Nature and Environment | - | - |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | - | - |
| language_fundamentals | Language Fundamentals | 5 (0.0%) | 5 (14.3%) |
The corpus was created by collecting texts from different Sindhi newspapers. The articles were gathered, cleaned to remove formatting issues, and then organized into a structured dataset for analysis.
It is recommended to clean the text for duplicate articles, normalize spellings, and remove unwanted symbols or formatting. Tokenization and sentence segmentation may also be useful for better analysis.
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 filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_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 language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe 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 sentenceunvalidated_sentences.tsvThe 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 (pending or rejected)Common Voice Community
This dataset was created with funding support from Mozilla. Special acknowledgments to Meesam Alam ([email protected]) for contributions and support.
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