metadata
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}
}