---
license: bigscience-openrail-m
task_categories:
- automatic-speech-recognition
language:
- dv
tags:
- legal
- code
pretty_name: Dhivehi Speech Recognition Dataset
size_categories:
- 100B<n<1T
---
# Dataset Card for Dataset Name

<!-- Dhivehi Speech Recognition Dataset. -->

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

<!-- This dataset includes short audio clips of spoken Dhivehi along with their corresponding text transcriptions. The recordings were collected from native Dhivehi speakers under controlled conditions. Audio is in `.wav` format sampled at 16kHz, and transcriptions are in UTF-8 encoded text files.


- **Curated by:** by my self- saajidha mohamed
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** Dhivehi (`dv`)
- **License:** BigScience OpenRAIL-M

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** (https://huggingface.co/datasets/saajidha/dhivehi_speech_dataset)
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- this dataset is designed for training and evaluating Dhivehi ASR systems. . -->

### Direct Use

<!-- This dataset is designed for training and evaluating Dhivehi ASR systems, including fine-tuning models like Whisper or Wav2Vec2 for Dhivehi.. -->


### Out-of-Scope Use

<!-- This dataset is **not** intended for biometric identification or surveillance applications. Use must comply with the license. -->


## Dataset Structure

<!-- Each example includes:
- `audio`: The audio file (`.wav`)
- `text`: The transcript of the spoken audio

Splits (if available): `train`, `validation`, and `test`. -->


## Dataset Creation

### Curation Rationale

<!-- There is a lack of publicly available Dhivehi speech datasets. This dataset helps bridge that gap for ASR research in the Dhivehi language. -->


### Source Data

<!-- sources include laws read, recorded and scripted  for this purpose and public news read, recorded and scripted for this purpose,  judgements read, recorded and scripted for this purpose.. -->

#### Data Collection and Processing

<!-- Audio was recorded by my self, a native speaker using mobile devices or microphones. The speech was transcribed manually and verified. Data was normalized to remove noise and silence, etc. -->



#### Who are the source data producers?

<!-- i by myself a Native speaker of Dhivehi from the Maldives. No personally identifiable information was collected or included. -->



### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- Transcriptions were created by a native speaker and verified by a second annotator. -->



#### Who are the annotators?

<!-- The team consisted of linguists and volunteers fluent in Dhivehi. -->


#### Personal and Sensitive Information

<!--  No sensitive information is included. Data has been anonymized and filtered to avoid privacy risks. -->



## Bias, Risks, and Limitations

<!-- The dataset may not cover all dialects or accents of Dhivehi. Urban speakers are more represented than rural ones. -->



### Recommendations

<!-- Users should be cautious of dialectal bias when training models. The dataset may not generalize well to informal or spontaneous speech. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

@misc{saajidha2025dhivehi,
  title        = {Dhivehi Speech Recognition Dataset},
  author       = {Saajidha Mohamed},
  year         = {2025},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/saajidha/dhivehi_speech_dataset}},
  note         = {Dataset for Dhivehi Automatic Speech Recognition (ASR)}
**APA:**

Saajidha Mohamed. (2025). Dhivehi Speech Recognition Dataset [Dataset]. Hugging Face. https://huggingface.co/datasets/saajidha/dhivehi_speech_dataset

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact

Name: Saajidha Mohamed

Email: shiraan005@gmail.com

Hugging Face: https://huggingface.co/saajidha