datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OpenDialog_English
OpenDialog English
This dataset contains English dialog and conversation data.
Dataset Structure
The dataset is provided in Parquet format with 153 splits for efficient loading.
Data Files
Format: Parquet
Splits: 153 files (train-00001-of-00153.parquet through train-00153-of-00153.parquet)
Total Size: ~72.8 GB
Loading the Dataset
from datasets import load_dataset
# Load the full dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/zuhri025/OpenDialog_English.AURA-Chat-Edit
AURA-Chat-Edit: Conversational Music Editing Dataset
Overview
AURA-Chat-Edit is a large-scale conversational music editing dataset used to train AURA, a unified multimodal framework for conversational music editing. The dataset contains 66,539 multi-turn dialogues pairing natural-language edit instructions with structured edit-token outputs across 7 edit types.
Each dialogue simulates a user requesting a music edit (e.g., "remove the drums", "add a jazzy… See the full description on the dataset page: https://huggingface.co/datasets/OpenRB-Lab/AURA-Chat-Edit.