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---
configs:
- config_name: wines
data_files:
- split: train
path: data/wines/train-*
default: true
- config_name: participants
data_files:
- split: train
path: data/participants/train-*
- config_name: napping
data_files:
- split: train
path: data/napping/train-*
license: cc-by-nc-nd-4.0
tags:
- wine
pretty_name: WineSensed
size_categories:
- 1M<n<10M
---
README will be populated soon. https://thoranna.github.io/learning_to_taste
```json
@inproceedings{bender:2023:learning-to-taste-multimodal-wine-dataset,
author = {Thoranna Bender and
Simon M{\o}e S{\o}rensen and
Alireza Kashani and
Kristjan Eldjarn Hjorleifsson and
Grethe Hyldig and
S{\o}ren Hauberg and
Serge J. Belongie and
Frederik Warburg},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Learning to Taste: {A} Multimodal Wine Dataset},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.neurips.cc/paper_files/paper/2023/hash/170035f97007fdfa665880107b56f384-Abstract-Datasets_and_Benchmarks.html},
``` |