datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ASID-1M
ASID-1M: Attribute-Structured and Quality-Verified Audiovisual Instructions
[🏠 Homepage] [📖 Arxiv Paper] [🤗 Models & Datasets] [💻 Code]
Introduction
We introduce ASID-1M, a large-scale audiovisual instruction dataset built to support universal video understanding with fine-grained, controllable supervision.
Most existing video-instruction data represents complex audiovisual content as a single, monolithic caption. This often leads to incomplete coverage (missing audio… See the full description on the dataset page: https://huggingface.co/datasets/AudioVisual-Caption/ASID-1M.visualears-fa-train-audio-16k
VisualEars 115M FA training audio (16kHz mono FLAC)
3362186 clips packed into 89 tar shards (~5GB each), + NeMo manifests.
Fast download + extract on a new cluster
pip install -U huggingface_hub
hf download Reza2kn/visualears-fa-train-audio-16k --repo-type dataset --local-dir DATA # add: --token $HF_TOKEN if private
cd DATA && for t in audio/shard_*.tar; do tar xf "$t"; done # reconstructs pseudo_audio/, gold_*_audio/
Manifests in manifests/ use paths… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/visualears-fa-train-audio-16k.