datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Audio-Video-Engineering-Agentic-Tasks-1M
Audio/Video Engineering Agentic Tasks (1M)
Abstract
A highly specialized dataset comprising 1,029,459 in-context troubleshooting prompts and execution commands built for the deepest levels of media production. Unlike standard datasets that simulate clean, theoretical instructions, this matrix captures the chaotic, highly-detailed, and conversational reality of professional audio engineers, composers, and video editors mid-session. It is engineered to train multimodal AI… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Audio-Video-Engineering-Agentic-Tasks-1M.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.sdf_dataset_en
SpeechDialogueFactory Dataset
Background
This dataset is part of the SpeechDialogueFactory project, a comprehensive framework for generating high-quality speech dialogues at scale. Speech dialogue datasets are essential for developing and evaluating Speech-LLMs, but existing datasets face limitations including high collection costs, privacy concerns, and lack of conversational authenticity. This dataset addresses these challenges by providing synthetically generated… See the full description on the dataset page: https://huggingface.co/datasets/minghanw/sdf_dataset_en.