thagen/TCR

This repository integrates the TCR corpus into hf datasets. Please find the original dataset here. The data is sourced from the CREST aggregation. Please see the citations at the end of this README.

Usage

Causality Detection

from datasets import load_dataset
dataset = load_dataset("thagen/TCR", "causality detection")

Causal Candidate Extraction

from datasets import load_dataset
dataset = load_dataset("thagen/TCR", "causal candidate extraction")

Causality Identification

from datasets import load_dataset
dataset = load_dataset("thagen/TCR", "causality identification")

Citations

The TCR paper by Ning et al., 2018:

@inproceedings{ning:2018,
  title = {Joint {{Reasoning}} for {{Temporal}} and {{Causal Relations}}},
  booktitle = {Proceedings of the 56th {{Annual Meeting}} of the {{Association}} for {{Computational Linguistics}}, {{ACL}} 2018, {{Melbourne}}, {{Australia}}, {{July}} 15-20, 2018, {{Volume}} 1: {{Long Papers}}},
  author = {Ning, Qiang and Feng, Zhili and Wu, Hao and Roth, Dan},
  editor = {Gurevych, Iryna and Miyao, Yusuke},
  year = {2018},
  pages = {2278--2288},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/V1/P18-1212},
  urldate = {2026-06-10}
}

CREST by Hosseini et al., 2021 — whose aggregation we used to source the TCR data:

@article{hosseini:2021,
  title = {Predicting {{Directionality}} in {{Causal Relations}} in {{Text}}},
  author = {Hosseini, Pedram and Broniatowski, David A. and Diab, Mona T.},
  year = {2021},
  journal = {CoRR},
  volume = {abs/2103.13606},
  eprint = {2103.13606},
  archiveprefix = {arXiv}
}