license:mit region:us
---
license: mit
dataset_info:
  features:
  - name: premise
    dtype: string
  - name: hypothesis
    dtype: string
  - name: relation
    dtype: string
  - name: id
    dtype: string
  splits:
  - name: train
    num_bytes: 791933574
    num_examples: 411452
  - name: dev
    num_bytes: 3140558
    num_examples: 2246
  - name: test
    num_bytes: 2415937
    num_examples: 2246
  download_size: 11038753
  dataset_size: 797490069
---
https://github.com/causalNLP/corr2cause/

The HF dataset provided by the author cannot be directly loaded. We use the NLI subset, which is the most general task.

```
@article{jin2023can,
  title={Can Large Language Models Infer Causation from Correlation?},
  author={Jin, Zhijing and Liu, Jiarui and Lyu, Zhiheng and Poff, Spencer and Sachan, Mrinmaya and Mihalcea, Rada and Diab, Mona and Sch{\"o}lkopf, Bernhard},
  journal={arXiv preprint arXiv:2306.05836},
  year={2023}
}
```