---
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},
```