Hani
Datasets
All datasets matching “Hani”hani-ar-rifai-192kbps
Hani Ar-Rifai
Part of Maqra, an open, verified archive of verse-by-verse Qur'an recitations mirrored from everyayah.com.
Set
hani-ar-rifai-192kbps
Style
murattal
Riwayah
hafs
Kind
recitation
Bitrate
192 kbps
Ayah files
6236 (2053 MiB)
Verified against the upstream MD5 list
6234
Ayahs absent upstream
0
Upstream folder
Hani_Rifai_192kbps
Files
One MP3 per ayah, named SSSAAA.mp3 (surah 3 digits, ayah 3 digits). 001001.mp3 is… See the full description on the dataset page: https://huggingface.co/datasets/maqra-project/hani-ar-rifai-192kbps.hani-ar-rifai-64kbps
Hani Ar-Rifai
Part of Maqra, an open, verified archive of verse-by-verse Qur'an recitations mirrored from everyayah.com.
Set
hani-ar-rifai-64kbps
Style
murattal
Riwayah
hafs
Kind
recitation
Bitrate
64 kbps
Ayah files
6236 (702 MiB)
Verified against the upstream MD5 list
6234
Ayahs absent upstream
0
Upstream folder
Hani_Rifai_64kbps
Files
One MP3 per ayah, named SSSAAA.mp3 (surah 3 digits, ayah 3 digits). 001001.mp3 is Al-Fatihah… See the full description on the dataset page: https://huggingface.co/datasets/maqra-project/hani-ar-rifai-64kbps.MOSIV
Overview
MOSIV is a synthetic dataset designed for the task of multi-object system identification from videos, where the goal is to recover both the 4D geometry (time-varying 3D shape) and the physical properties (e.g., stiffness, friction, plasticity) of multiple interacting objects directly from multi-view video observations.
MOSIV features contact-rich, multi-object interactions with diverse materials and complex dynamics. Each sequence contains multiple objects undergoing… See the full description on the dataset page: https://huggingface.co/datasets/Hanibel/MOSIV.Synthetic-Medical-Speech-Dataset
Synthetic Medical Speech Dataset
Overview
Synthetic Medical Speech Dataset is a synthetic dataset of audio–text pairs designed for developing and evaluating automatic speech recognition (ASR) models in the medical domain.The corpus contains thousands of short audio clips generated from medically relevant text using a text-to-speech (TTS) system.Each clip is paired with its corresponding transcript.Because all content is synthetically produced, the dataset does not contain… See the full description on the dataset page: https://huggingface.co/datasets/Hani89/Synthetic-Medical-Speech-Dataset.HowFarAreYou_3DSpeakerTrain_fullpersian_nerThe dataset includes 250,015 tokens and 7,682 Persian sentences in total. It is available in 3 folds to be used in turn as training and test sets. The NER tags are in IOB format.