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ZebraLogic / README.md
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metadata
dataset_info:
  - config_name: grid_mode
    features:
      - name: id
        dtype: string
      - name: size
        dtype: string
      - name: puzzle
        dtype: string
      - name: solution
        struct:
          - name: header
            sequence: string
          - name: rows
            sequence:
              sequence: string
      - name: created_at
        dtype: string
    splits:
      - name: test
        num_bytes: 1545275
        num_examples: 1000
    download_size: 345826
    dataset_size: 1545275
  - config_name: mc_mode
    features:
      - name: id
        dtype: string
      - name: puzzle
        dtype: string
      - name: question
        dtype: string
      - name: choices
        sequence: string
      - name: answer
        dtype: string
      - name: created_at
        dtype: string
    splits:
      - name: test
        num_bytes: 5039993
        num_examples: 3259
    download_size: 826292
    dataset_size: 5039993
configs:
  - config_name: grid_mode
    data_files:
      - split: test
        path: grid_mode/test-*
  - config_name: mc_mode
    data_files:
      - split: test
        path: mc_mode/test-*

Paper: https://huggingface.co/papers/2502.01100

Arxiv: https://arxiv.org/abs/2502.01100

Citation

@article{zebralogic2025,
    title={ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning},
    author={Bill Yuchen Lin and Ronan Le Bras and Kyle Richardson and Ashish Sabharwal and Radha Poovendran and Peter Clark and Yejin Choi},
    year={2025},
    url={https://arxiv.org/abs/2502.01100},
}


@article{dziri2024faith,
  title={Faith and fate: Limits of transformers on compositionality},
  author={Nouha Dziri and Ximing Lu and Melanie Sclar and Xiang Lorraine Li and Liwei Jian and Bill Yuchen Lin and Peter West and Chandra Bhagavatula and Ronan Le Bras and Jena D. Hwang and Soumya Sanyal and Sean Welleck and Xiang Ren and Allyson Ettinger and Za{\"i}d Harchaoui and Yejin Choi},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  year={2024}
}