datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
central-kurdish-tts4all
TTS4All Central Kurdish Speech Dataset
Dataset Summary
The TTS4All Central Kurdish Speech Dataset is a multi-speaker speech corpus developed for speech synthesis and speech technology research in Central Kurdish (Sorani Kurdish).
The dataset was created within the TTS4All initiative during the JSALT 2025 Workshop and provides more than 35 hours of transcribed speech from three native Central Kurdish speakers.
The corpus was designed to support:
Text-to-Speech… See the full description on the dataset page: https://huggingface.co/datasets/aranemini/central-kurdish-tts4all.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.The_Arabic_News_speech_Corpus_Dataset
Arabic News Speech Corpus Dataset
This dataset is an Arabic speech corpus that supports the development of syllable-based Arabic speech recognition using Wav2Vec-2 architecture and a 5-gram language model. It consists of Modern Standard Arabic (MSA) syllables extracted from TV news broadcasts, annotated with diacritics.
Dataset Details
Dataset Description
This corpus contains 15 hours of WAV audio recordings transcribed into diacritized Modern Standard Arabic… See the full description on the dataset page: https://huggingface.co/datasets/IbrahimSalah/The_Arabic_News_speech_Corpus_Dataset.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.arabic-speech-dataset
Field
Value
License
cc-by-nc-nd-4.0
Task Categories
Automatic Speech Recognition
Language
Arabic (ar)
Tags
Arabic, Speech, Audio, Speech Recognition, Machine Learning
Size Category
1K < n < 10K
🎧 Arabic Speech Dataset
📘 Overview
The Arabic Speech Dataset is a high-quality speech audio dataset built for developing, training, and evaluating advanced AI voice systems. It provides 76 hours of audio data distributed across 558 files, available… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/arabic-speech-dataset.commonvoicebadini
Northern Kurdish (Arabic Script) ASR Dataset
Dataset Description
Northern Kurdish is the most widely spoken variant of the Kurdish language and is used across all parts of Kurdistan. Although it is mainly written today in the Latin script, it was historically written in the Arabic script. The Arabic script is still used for this dialect in Southern Kurdistan, particularly in the Duhok province of the Kurdistan Regional Government (KRG).Similarly, the primary writing… See the full description on the dataset page: https://huggingface.co/datasets/aranemini/commonvoicebadini.arabic-dialect-text
Arabic Dialectal Text — gathered, lang-coded, IPA-enriched
A deduplicated collection of dialectal Arabic sentences assembled from openly-downloadable
sources, every line tagged with a BCP-47 lang code. Saudi Arabic is the focus, but all
labelled dialects are retained. Built as the text side of a Saudi TTS / phonemizer pipeline.
Files
all.tsv — the corpus: id<TAB>lang<TAB>source<TAB>text.
all.enriched.tsv — adds two phonetic columns:… See the full description on the dataset page: https://huggingface.co/datasets/Salesteq/arabic-dialect-text.droidnexus-arabic-editorial-speech-scorecard-mini
DroidNexus Arabic Editorial Speech Scorecard Mini
A public DroidNexus Labs scorecard dataset for Arabic speech workflows: representative editorial scenarios, latency targets, overlap pressure, and the metric stack that decides whether a transcript is usable.
Why this exists
This dataset is the first public speech artifact layer for DroidNexus Labs. It publishes representative editorial workloads and evaluation pressure before claiming a full source-audio benchmark.… See the full description on the dataset page: https://huggingface.co/datasets/driodnexus/droidnexus-arabic-editorial-speech-scorecard-mini.