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MohamedGomaa30/Masri-Elders

Masri Elders Speech-to-Text Dataset Dataset Description This dataset contains Egyptian Arabic (Masri) speech recordings from elderly speakers, paired with their transcriptions. It is designed to help improve Automatic Speech Recognition (ASR) models for this specific dialect and demographic, which is often underrepresented in standard datasets. Language: Egyptian Arabic (Masri) Demographic: Elders Sampling Rate: 16kHz (Mono) Format: WAV audio + Text transcripts… See the full description on the dataset page: https://huggingface.co/datasets/MohamedGomaa30/Masri-Elders.

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Masri Elders Speech-to-Text Dataset

Dataset Description

This dataset contains Egyptian Arabic (Masri) speech recordings from elderly speakers, paired with their transcriptions. It is designed to help improve Automatic Speech Recognition (ASR) models for this specific dialect and demographic, which is often underrepresented in standard datasets.

  • —Language: Egyptian Arabic (Masri)
  • —Demographic: Elders
  • —Sampling Rate: 16kHz (Mono)
  • —Format: WAV audio + Text transcripts

Dataset Structure

The dataset follows a standard audio dataset format:

  • —`wavs/`: Directory containing the audio segments.
  • —`metadata.csv`: A CSV file mapping audio files to transcripts.

Metadata Schema

ColumnDescription
file_namePath to the audio file (e.g., wavs/vid_0_segment_0000.wav)
textThe transcribed text for the segment
startStart time of the segment in the original audio (seconds)
endEnd time of the segment in the original audio (seconds)
video_idIdentifier for the source video/audio

Usage

You can load this dataset directly using the Hugging Face datasets library:

python
from datasets import load_dataset

dataset = load_dataset("MohamedGomaa30/Masri-Elders")

# Listen to a sample
print(dataset['train'][0])

Source Code

The pipeline used to generate this dataset is open-source and available on GitHub: [GitHub Repository: Mohamed-Gomaa30/Masri-Elders-Dataset](https://github.com/Mohamed-Gomaa30/Masri-Elders-Dataset)

License

This dataset is released under the MIT License.