thagen/CausalTimeBank

This repository integrates the CausalTimeBank (CTB) corpus into hf datasets. Please find the original dataset here. We used the UniCausal reformatting of the data as the basis for this repository. Please see the citations at the end of this README.

Usage

Causality Detection

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

Causality Identification

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

Citations

The CausalTimeBank paper by Mirza et al., 2014:

@inproceedings{mirza:2014a,
  title = {Annotating {{Causality}} in the {{TempEval-3 Corpus}}},
  booktitle = {Proceedings of the {{EACL}} 2014 {{Workshop}} on {{Computational Approaches}} to {{Causality}} in {{Language}} ({{CAtoCL}})},
  author = {Mirza, Paramita and Sprugnoli, Rachele and Tonelli, Sara and Speranza, Manuela},
  editor = {Kolomiyets, Oleksandr and Moens, Marie-Francine and Palmer, Martha and Pustejovsky, James and Bethard, Steven},
  year = {2014},
  month = apr,
  pages = {10--19},
  publisher = {Association for Computational Linguistics},
  address = {Gothenburg, Sweden},
  doi = {10.3115/v1/W14-0702}
}

UniCausal by Tan et al., 2023 — who's dataformat we used to make CTB compatible with hf datasets:

@inproceedings{tan:2023,
  title = {{{UniCausal}}: {{Unified Benchmark}} and {{Repository}} for {{Causal Text Mining}}},
  shorttitle = {{{UniCausal}}},
  booktitle = {Big {{Data Analytics}} and {{Knowledge Discovery}} - 25th {{International Conference}}, {{DaWaK}} 2023, {{Penang}}, {{Malaysia}}, {{August}} 28-30, 2023, {{Proceedings}}},
  author = {Tan, Fiona Anting and Zuo, Xinyu and Ng, See-Kiong},
  editor = {Wrembel, Robert and Gamper, Johann and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail},
  year = {2023},
  series = {Lecture {{Notes}} in {{Computer Science}}},
  volume = {14148},
  pages = {248--262},
  publisher = {Springer},
  doi = {10.1007/978-3-031-39831-5_23}
}