Egyptian Arabic Lectures Dataset with 30 Hours of Transcribed Educational Audio

Egyptian Arabic Lectures is a dataset of transcribed audio clips from educational lectures, containing around 30 hours of speech. It is designed for training and evaluating Automatic Speech Recognition models for the Egyptian dialect, particularly in academic contexts involving technical terms. The dataset was created by ismaeeelxd and was last updated on 2026-06-21.

Use Cases

• Train Automatic Speech Recognition models based on Egyptian Arabic speech data.
• Fine-tune speech models for educational contexts based on lecture content.
• Evaluate model performance on code-switched speech based on mixed English and Arabic technical terms.
• Develop language technology tools for academic Computer Science instruction in Egyptian Arabic.

Strengths

• Contains around 30 hours of transcribed audio, providing a substantial resource for speech model training.
• Focuses on the Egyptian Arabic dialect, addressing a specific linguistic need.
• Includes educational lectures with mixed English technical terms, reflecting a real-world academic use case.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-06-21 17:57:46; freshness should be verified.

Provenance

Source

huggingface user ismaeeelxd

Collection Method

Transcribed audio clips extracted from educational lectures.

Freshness

2026-06-21

Geography

Egyptian Arabic dialect