---
license: cc-by-4.0
pretty_name: 'Egyptian People Speaking Video Dataset'
language:
- ar
- en
tags:
- egypt
- video
- speech
- spoken-language
- people-speaking
- ai-research
- speech-recognition
- multimodal
- topic-discussion
task_categories:
- video-classification
size_categories:
- 1K<n<10K
---

# Egyptian People Speaking Video Dataset
*This dataset contains high-quality video recordings of Egyptian people speaking on a range of topics. It is curated for AI research in speech recognition, multimodal analysis, topic understanding, and spoken-language modeling.*

## Contact
For queries or collaborations related to this dataset, contact:  
  - anoushka@kgen.io  
  - abhishek.vadapalli@kgen.io  

## Supported Tasks

- **Task Categories**:  
  - Video Classification  
  - Speech-to-Text (Automatic Speech Recognition)  
  - Multimodal Understanding  

- **Supported Tasks**:  
  - Transcription of spoken Egyptian Arabic or bilingual (Arabic-English) speech  
  - Topic classification based on speech content  
  - Sentiment and emotion analysis from spoken video  
  - Speaker diarization and identity-agnostic speaker recognition  
  - Multimodal analysis combining audio, video, and gestures  
  - Research in human-computer interaction and AI communication models  

## Languages

- **Primary Language**: Egyptian Arabic  
- **Secondary Presence**: English (if code-switching occurs)  

## Dataset Creation

### Curation Rationale
The dataset was created to support AI systems in understanding natural spoken Egyptian Arabic, enabling speech-to-text, topic modeling, and multimodal interaction research. It is intended for educational, accessibility, and research purposes.

### Source Data
- **Contributors**: Volunteers and participants recorded speaking on assigned topics  
- **Collection Process**: Videos were recorded in controlled or natural environments. Personal identifiers unrelated to the speech task were removed or anonymized. All participants gave explicit consent for research use.  

### Other Known Limitations
- **Bias**: Urban dialects and younger speakers may be overrepresented  
- **Environmental Noise**: Background noise may affect speech clarity  
- **Topic Coverage**: Selected topics may not fully reflect all cultural or regional contexts in Egypt  

## Intended Uses

### ✅ Direct Use
- Training Automatic Speech Recognition (ASR) systems for Egyptian Arabic  
- Topic classification and sentiment analysis research  
- Multimodal AI studies combining video, audio, and gestures  
- Human-computer interaction and accessibility applications  

### ❌ Out-of-Scope Use
- Surveillance or identification of individuals without consent  
- Commercial exploitation without ethical clearance  
- Any use violating participant privacy or recording agreements  

## License

CC BY 4.0