Arabic Audio Text Dataset Repository

This dataset, from the IDEAL 2025 project, was created to evaluate how well commercial speech-to-text (STT) tools transcribe Arabic speech.<br><br>Dataset Components<br>The repository includes several key components:<br><b>Audio Files</b>: Original recordings of native Arabic speakers, categorized by length (Short, Medium, Long, Very Long).<b>Human Transcripts</b>: Manually created transcripts that serve as the "ground truth" for accuracy comparison.<b>Tool Transcripts</b>: Machine-generated transcripts from six commercial STT tools: Clipto, Maestra, Notta, Sonix, Turboscribe, and Veed.<b>Metadata</b>: An Excel file containing details like recording duration, topic, word counts, speaker age, gender, and transcription accuracy scores.<b>Ethical Documentation</b>: Includes IRB approval, ensuring data was collected ethically and personally identifiable information was removed.