| --- |
| 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} |
| } |
| ``` |
