Datasets:

saajidha
/

dhivehi_speech_dataset

	---
	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: [email protected]

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