datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
song_structure_with_testglobal-french-speech_structured
Zeldeo/global-french-speech_structured
Dataset ASR restructuré depuis SilencioNetwork/global-french-speech
(config=french_canada, split=train).
Nombre d'exemples : 25.
Métadonnées ajoutées : source_dataset, type, langue_accent.
Normalisation texte : aucune.
Colonnes conservées
audio
gender
dialect
emotions
language
location
noise_sources
transcript
age_band
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/Zeldeo/global-french-speech_structured.song_structure
Dataset Card for Song Structure
The raw dataset comprises 300 pop songs in .mp3 format, sourced from the NetEase music, accompanied by a structure annotation file for each song in .txt format. The annotator for music structure is a professional musician and teacher from the China Conservatory of Music. For the statistics of the dataset, there are 208 Chinese songs, 87 English songs, three Korean songs and two Japanese songs. The song structures are labeled as follows: intro… See the full description on the dataset page: https://huggingface.co/datasets/ccmusic-database/song_structure.french-conversation_structured
Zeldeo/french-conversation_structured
Dataset ASR restructuré depuis Snit/french-conversation
(config=default, split=train).
Nombre d'exemples : 98.
Métadonnées ajoutées : source_dataset, type, langue_accent.
Normalisation texte : aucune.
Colonnes conservées
audio
transcription
id
part
audio_path
Usage
from datasets import load_dataset
ds = load_dataset("Zeldeo/french-conversation_structured", split="train")
print(ds[0])