Provides a cleaned, section-chunked bilingual (Arabic + English) Wikipedia-derived corpus plus a curated Egyptian-history subset for LLM pretraining and SFT. Includes large pretrain and finetune splits, article-level eval holdouts, Parquet format, CC-BY-SA-4.0, and Arabic orthography caveats.
100-hour, single-narrator Egyptian Arabic speech corpus with 15,653 aligned clips at 24 kHz for TTS and ASR fine-tuning; studio-consistent audio, machine-generated undiacritized transcripts, CC BY-NC 4.0 (research/non-commercial use).
Provides weakly transcribed speech for Algerian, Egyptian, Iraqi, Saudi, and Syrian Arabic. Its roughly 10 million segments cover 39,028 hours of audio for dialect-aware speech recognition research; transcripts are machine-generated, and use is limited to research and evaluation.
Provides 1,944 hours of Arabic speech, with a focus on Egyptian and Saudi dialects. Each clip includes three ASR hypotheses, a consensus transcript, and audio-quality metrics for speech recognition and synthesis research.