Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Audio
Formats:
soundfolder
Languages:
Divehi
Size:
< 1K
License:
File size: 4,908 Bytes
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---
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 |