datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Moroccan-Arabic-Multimodal-Emotion-Recognition
MDER-MA — Moroccan Arabic Multimodal Emotion Recognition (TTS-aligned repackaging)
A repackaging of the MDER-MA dataset that pairs every audio clip with its Arabic (Moroccan dialect / Darija) transcript and ships speaker-disjoint train/validation/test splits.
Original dataset: Ouali, S. & El Garouani, S. (2025). MDER-MA: A multimodal dataset for emotion recognition in low-resource Moroccan Arabic language. Data in Brief. DOI: 10.1016/j.dib.2025.112005. Mendeley:… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/Moroccan-Arabic-Multimodal-Emotion-Recognition.Arabic-Emotional-Audio-Dataset-Baved
BAVED — Basic Arabic Vocal Emotions Dataset (TTS-ready repackaging)
A re-packaged, transcript-aligned version of the Basic Arabic Vocal Emotions Dataset (BAVED) with explicit Arabic transcripts, English glosses, speaker metadata, and speaker-disjoint train/validation/test splits.
Original dataset: Aouf Yacine, Basic Arabic Vocal Emotions Dataset (BAVED), GitHub: https://github.com/40uf411/Basic-Arabic-Vocal-Emotions-Dataset. This repackaging adds metadata; all audio is unchanged.… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/Arabic-Emotional-Audio-Dataset-Baved.alsanaa-emirati-arabic-asr
Alsanaa — Traditional Emirati Arabic Speech Dataset (ASR)
A curated and preprocessed corpus for traditional Emirati (Gulf) Arabic Automatic
Speech Recognition. It pairs short Emirati-dialect speech recordings with cleaned
Arabic transcriptions, covering customs, etiquette, and oral tradition.
Examples: 102 (train (102))
Approx. total audio: 4.54 hours
Audio format on the Hub: decoded Audio feature at 16000 Hz
Language: Arabic — traditional Emirati / Gulf dialect (ar)… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/alsanaa-emirati-arabic-asr.