Datasets:
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---
language:
- yo
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
- text-to-speech
task_ids:
- keyword-spotting
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
modalities:
- audio
- text
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
config_name: default
splits:
- name: train
num_bytes: 0
num_examples: 1647022
download_size: 0
dataset_size: 0
tags:
- speech
- yoruba
- nigeria
- african-languages
- low-resource
- parallel-corpus
pretty_name: Yoruba Speech-Text Parallel Dataset
---
# Yoruba Speech-Text Parallel Dataset
## Dataset Description
This dataset contains 1647022 parallel speech-text pairs for Yoruba, a language spoken primarily in Nigeria and other West African countries. The dataset consists of audio recordings paired with their corresponding text transcriptions, making it suitable for automatic speech recognition (ASR) and text-to-speech (TTS) tasks.
### Dataset Summary
- **Language**: Yoruba - `yo`
- **Task**: Speech Recognition, Text-to-Speech
- **Size**: 1647022 audio files > 1KB (small/corrupted files filtered out)
- **Format**: WAV audio files with corresponding text files
- **Modalities**: Audio + Text
### Supported Tasks
- **Automatic Speech Recognition (ASR)**: Train models to convert Yoruba speech to text
- **Text-to-Speech (TTS)**: Use parallel data for TTS model development
- **Keyword Spotting**: Identify specific Yoruba words in audio
- **Phonetic Analysis**: Study Yoruba pronunciation patterns
## Dataset Structure
### Data Fields
- `audio`: Audio file in WAV format
- `text`: Corresponding text transcription from paired text file
### Data Splits
The dataset contains a single training split with 1647022 filtered audio-text pairs.
## Dataset Creation
### Source Data
The audio data has been sourced ethically from consenting contributors. To protect the privacy of the original authors and speakers, specific source information cannot be shared publicly.
### Data Processing
1. Audio files and corresponding text files were collected from organized folder structure
2. Text content was read from separate `.txt` files with matching filenames
3. Files smaller than 1KB were filtered out to ensure audio quality
4. Empty text files were excluded from the dataset
5. Audio was processed using the [MMS-300M-1130 Forced Aligner](https://huggingface.co/MahmoudAshraf/mms-300m-1130-forced-aligner) tool for alignment and quality assurance
### Annotations
Text annotations are stored in separate text files with matching filenames to the audio files, representing the spoken content in each audio recording.
## Considerations for Using the Data
### Social Impact of Dataset
This dataset contributes to the preservation and digital representation of Yoruba, supporting:
- Language technology development for underrepresented languages
- Educational resources for Yoruba language learning
- Cultural preservation through digital archives
### Discussion of Biases
- The dataset may reflect the pronunciation patterns and dialects of specific regions or speakers
- Audio quality and recording conditions may vary across samples
- The vocabulary is limited to the words present in the collected samples
### Other Known Limitations
- Limited vocabulary scope (word-level rather than sentence-level)
- Potential audio quality variations
- Regional dialect representation may be uneven
## Additional Information
### Licensing Information
This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
### Acknowledgments
- Audio processing and alignment performed using [MMS-300M-1130 Forced Aligner](https://huggingface.co/MahmoudAshraf/mms-300m-1130-forced-aligner)
- The original audio is produced by Biblica
### Citation Information
If you use this dataset in your research, please cite:
```
@dataset{yoruba_words_parallel_2025,
title={Yoruba Words Speech-Text Parallel Dataset},
year={2025},
publisher={Hugging Face},
howpublished={\url{https://huggingface.co/datasets/[your-username]/yoruba-speech-text-parallel}}
}
```
### Contact
For questions or concerns about this dataset, please open an issue in the dataset repository.
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