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---
dataset_info:
config_name: full_agreement
features:
- name: ID
dtype: string
- name: Dataset
dtype: string
- name: Set
dtype: string
- name: DatasetsSplit
dtype: string
- name: Language
dtype: string
- name: Prompt
dtype: string
- name: RatingLabel
dtype: string
- name: Response
dtype: string
- name: TasksNamesFull
dtype: string
- name: TaskType
dtype: string
- name: facsco_grm_scaled
dtype: float64
- name: FullPrompt
dtype: string
splits:
- name: train
num_bytes: 10827210
num_examples: 16948
- name: val
num_bytes: 1403770
num_examples: 2180
- name: test
num_bytes: 1255708
num_examples: 2004
- name: heldout_item
num_bytes: 924431
num_examples: 1940
- name: heldout_task
num_bytes: 54887
num_examples: 187
download_size: 1334938
dataset_size: 14466006
configs:
- config_name: full_agreement
data_files:
- split: train
path: full_agreement/train-*
- split: val
path: full_agreement/val-*
- split: test
path: full_agreement/test-*
- split: heldout_item
path: full_agreement/heldout_item-*
- split: heldout_task
path: full_agreement/heldout_task-*
license: mit
language:
- en
---
# Multi-task Creativity Evaluation Dataset (MuCE)
This dataset is introduced in the [Creative Preference Optimization](https://arxiv.org/abs/2505.14442) and contains human responses and ratings for multiple creativity assessments.
### Dataset Sources
See [Creative Preference Optimization](https://arxiv.org/abs/2505.14442) for a list of sources.
## Citation
```
@misc{ismayilzada2025creativepreferenceoptimization,
title={Creative Preference Optimization},
author={Mete Ismayilzada and Antonio Laverghetta Jr. and Simone A. Luchini and Reet Patel and Antoine Bosselut and Lonneke van der Plas and Roger E. Beaty},
year={2025},
eprint={2505.14442},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2505.14442},
}
```