README.md

metadata

dataset_info:
  - config_name: full_agreement
    features:
      - name: dataset
        dtype: string
      - name: task
        dtype: string
      - name: score_label
        dtype: string
      - name: score_chosen
        dtype: float64
      - name: score_rejected
        dtype: float64
      - name: chosen
        list:
          - name: content
            dtype: string
          - name: role
            dtype: string
      - name: rejected
        list:
          - name: content
            dtype: string
          - name: role
            dtype: string
      - name: novelty_chosen
        dtype: float64
      - name: surprise_chosen
        dtype: float64
      - name: diversity_chosen
        dtype: float64
      - name: quality_chosen
        dtype: float64
    splits:
      - name: train
        num_bytes: 39599062
        num_examples: 42058
      - name: val
        num_bytes: 4568262
        num_examples: 4880
      - name: test
        num_bytes: 4165937
        num_examples: 4533
      - name: heldout_item
        num_bytes: 2291947
        num_examples: 3521
      - name: heldout_task
        num_bytes: 34413
        num_examples: 52
      - name: val_sample1024
        num_bytes: 698068
        num_examples: 744
      - name: val_sample4096
        num_bytes: 2232149
        num_examples: 2356
      - name: test_sample1024
        num_bytes: 674423
        num_examples: 720
      - name: test_sample4096
        num_bytes: 2220465
        num_examples: 2373
    download_size: 2170014
    dataset_size: 56484726
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-*
      - split: val_sample1024
        path: full_agreement/val_sample1024-*
      - split: val_sample4096
        path: full_agreement/val_sample4096-*
      - split: test_sample1024
        path: full_agreement/test_sample1024-*
      - split: test_sample4096
        path: full_agreement/test_sample4096-*

Multi-task Creativity Evaluation Dataset - Preference subset (MuCE-Pref)

This dataset is introduced in the Creative Preference Optimization and contains human responses and ratings for multiple creativity assessments. It is derived from the MuCE dataset and is in the TRL Preference dataset format.

Dataset Sources

See Creative Preference Optimization 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}, 
}