wav
Datasets
All datasets matching “wav”WavCaps
WavCaps
WavCaps is a ChatGPT-assisted weakly-labelled audio captioning dataset for audio-language multimodal research, where the audio clips are sourced from three websites (FreeSound, BBC Sound Effects, and SoundBible) and a sound event detection dataset (AudioSet Strongly-labelled Subset).
Paper: https://arxiv.org/abs/2303.17395
Github: https://github.com/XinhaoMei/WavCaps
Statistics
Data Source
# audio
avg. audio duration (s)avg. text length
FreeSound… See the full description on the dataset page: https://huggingface.co/datasets/cvssp/WavCaps.wavelet-lstm-camels-models
Wavelet-LSTM CAMELS Streamflow Models
A collection of 61,380 pre-trained LSTM models for daily streamflow forecasting across 620 USGS catchments from the CAMELS dataset.
Each catchment has 99 independently trained models:
33 wavelet filters × 3 lead times (1, 3, 5 days) = 99 wavelet-enhanced models
33 matching baseline models (same architecture, no wavelet transform)
Models are designed to be ensembled across wavelets for robust predictions with uncertainty estimates.… See the full description on the dataset page: https://huggingface.co/datasets/johnswyou/wavelet-lstm-camels-models.prof_report__wavymulder-Analog-Diffusion__multi__24
Dataset Card for "prof_report__wavymulder-Analog-Diffusion__multi__24"
More Information needed
2ca36481WaveUI-25k
Dataset Card for WaveUI-25k
This is a FiftyOne dataset with 24977 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/WaveUI-25k")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/WaveUI-25k.wavefake-audio